xref: /dports/devel/py-azure-synapse-artifacts/azure-synapse-artifacts-0.8.0/azure/synapse/artifacts/v2020_12_01/models/_models_py3.py

# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------

import datetime
from typing import Any, Dict, List, Optional, Union

from azure.core.exceptions import HttpResponseError
import msrest.serialization

from ._artifacts_client_enums import *


class Activity(msrest.serialization.Model):
    """A pipeline activity.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: ControlActivity, ExecutionActivity, SqlPoolStoredProcedureActivity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
    }

    _subtype_map = {
        'type': {'Container': 'ControlActivity', 'Execution': 'ExecutionActivity', 'SqlPoolStoredProcedure': 'SqlPoolStoredProcedureActivity'}
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        **kwargs
    ):
        super(Activity, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.name = name
        self.type = 'Activity'  # type: str
        self.description = description
        self.depends_on = depends_on
        self.user_properties = user_properties


class ActivityDependency(msrest.serialization.Model):
    """Activity dependency information.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param activity: Required. Activity name.
    :type activity: str
    :param dependency_conditions: Required. Match-Condition for the dependency.
    :type dependency_conditions: list[str or
     ~azure.synapse.artifacts.v2020_12_01.models.DependencyCondition]
    """

    _validation = {
        'activity': {'required': True},
        'dependency_conditions': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'activity': {'key': 'activity', 'type': 'str'},
        'dependency_conditions': {'key': 'dependencyConditions', 'type': '[str]'},
    }

    def __init__(
        self,
        *,
        activity: str,
        dependency_conditions: List[Union[str, "DependencyCondition"]],
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(ActivityDependency, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.activity = activity
        self.dependency_conditions = dependency_conditions


class ActivityPolicy(msrest.serialization.Model):
    """Execution policy for an activity.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param timeout: Specifies the timeout for the activity to run. The default timeout is 7 days.
     Type: string (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type timeout: any
    :param retry: Maximum ordinary retry attempts. Default is 0. Type: integer (or Expression with
     resultType integer), minimum: 0.
    :type retry: any
    :param retry_interval_in_seconds: Interval between each retry attempt (in seconds). The default
     is 30 sec.
    :type retry_interval_in_seconds: int
    :param secure_input: When set to true, Input from activity is considered as secure and will not
     be logged to monitoring.
    :type secure_input: bool
    :param secure_output: When set to true, Output from activity is considered as secure and will
     not be logged to monitoring.
    :type secure_output: bool
    """

    _validation = {
        'retry_interval_in_seconds': {'maximum': 86400, 'minimum': 30},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'timeout': {'key': 'timeout', 'type': 'object'},
        'retry': {'key': 'retry', 'type': 'object'},
        'retry_interval_in_seconds': {'key': 'retryIntervalInSeconds', 'type': 'int'},
        'secure_input': {'key': 'secureInput', 'type': 'bool'},
        'secure_output': {'key': 'secureOutput', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        timeout: Optional[Any] = None,
        retry: Optional[Any] = None,
        retry_interval_in_seconds: Optional[int] = None,
        secure_input: Optional[bool] = None,
        secure_output: Optional[bool] = None,
        **kwargs
    ):
        super(ActivityPolicy, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.timeout = timeout
        self.retry = retry
        self.retry_interval_in_seconds = retry_interval_in_seconds
        self.secure_input = secure_input
        self.secure_output = secure_output


class ActivityRun(msrest.serialization.Model):
    """Information about an activity run in a pipeline.

    Variables are only populated by the server, and will be ignored when sending a request.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :ivar pipeline_name: The name of the pipeline.
    :vartype pipeline_name: str
    :ivar pipeline_run_id: The id of the pipeline run.
    :vartype pipeline_run_id: str
    :ivar activity_name: The name of the activity.
    :vartype activity_name: str
    :ivar activity_type: The type of the activity.
    :vartype activity_type: str
    :ivar activity_run_id: The id of the activity run.
    :vartype activity_run_id: str
    :ivar linked_service_name: The name of the compute linked service.
    :vartype linked_service_name: str
    :ivar status: The status of the activity run.
    :vartype status: str
    :ivar activity_run_start: The start time of the activity run in 'ISO 8601' format.
    :vartype activity_run_start: ~datetime.datetime
    :ivar activity_run_end: The end time of the activity run in 'ISO 8601' format.
    :vartype activity_run_end: ~datetime.datetime
    :ivar duration_in_ms: The duration of the activity run.
    :vartype duration_in_ms: int
    :ivar input: The input for the activity.
    :vartype input: any
    :ivar output: The output for the activity.
    :vartype output: any
    :ivar error: The error if any from the activity run.
    :vartype error: any
    """

    _validation = {
        'pipeline_name': {'readonly': True},
        'pipeline_run_id': {'readonly': True},
        'activity_name': {'readonly': True},
        'activity_type': {'readonly': True},
        'activity_run_id': {'readonly': True},
        'linked_service_name': {'readonly': True},
        'status': {'readonly': True},
        'activity_run_start': {'readonly': True},
        'activity_run_end': {'readonly': True},
        'duration_in_ms': {'readonly': True},
        'input': {'readonly': True},
        'output': {'readonly': True},
        'error': {'readonly': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'pipeline_name': {'key': 'pipelineName', 'type': 'str'},
        'pipeline_run_id': {'key': 'pipelineRunId', 'type': 'str'},
        'activity_name': {'key': 'activityName', 'type': 'str'},
        'activity_type': {'key': 'activityType', 'type': 'str'},
        'activity_run_id': {'key': 'activityRunId', 'type': 'str'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'str'},
        'status': {'key': 'status', 'type': 'str'},
        'activity_run_start': {'key': 'activityRunStart', 'type': 'iso-8601'},
        'activity_run_end': {'key': 'activityRunEnd', 'type': 'iso-8601'},
        'duration_in_ms': {'key': 'durationInMs', 'type': 'int'},
        'input': {'key': 'input', 'type': 'object'},
        'output': {'key': 'output', 'type': 'object'},
        'error': {'key': 'error', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(ActivityRun, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.pipeline_name = None
        self.pipeline_run_id = None
        self.activity_name = None
        self.activity_type = None
        self.activity_run_id = None
        self.linked_service_name = None
        self.status = None
        self.activity_run_start = None
        self.activity_run_end = None
        self.duration_in_ms = None
        self.input = None
        self.output = None
        self.error = None


class ActivityRunsQueryResponse(msrest.serialization.Model):
    """A list activity runs.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of activity runs.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityRun]
    :param continuation_token: The continuation token for getting the next page of results, if any
     remaining results exist, null otherwise.
    :type continuation_token: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[ActivityRun]'},
        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["ActivityRun"],
        continuation_token: Optional[str] = None,
        **kwargs
    ):
        super(ActivityRunsQueryResponse, self).__init__(**kwargs)
        self.value = value
        self.continuation_token = continuation_token


class AddDataFlowToDebugSessionResponse(msrest.serialization.Model):
    """Response body structure for starting data flow debug session.

    :param job_version: The ID of data flow debug job version.
    :type job_version: str
    """

    _attribute_map = {
        'job_version': {'key': 'jobVersion', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        job_version: Optional[str] = None,
        **kwargs
    ):
        super(AddDataFlowToDebugSessionResponse, self).__init__(**kwargs)
        self.job_version = job_version


class AdditionalColumns(msrest.serialization.Model):
    """Specify the column name and value of additional columns.

    :param name: Additional column name. Type: string (or Expression with resultType string).
    :type name: any
    :param value: Additional column value. Type: string (or Expression with resultType string).
    :type value: any
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'object'},
        'value': {'key': 'value', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: Optional[Any] = None,
        value: Optional[Any] = None,
        **kwargs
    ):
        super(AdditionalColumns, self).__init__(**kwargs)
        self.name = name
        self.value = value


class LinkedService(msrest.serialization.Model):
    """The Azure Synapse nested object which contains the information and credential which can be used to connect with related store or compute resource.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AmazonMWSLinkedService, AmazonRedshiftLinkedService, AmazonS3LinkedService, AzureBatchLinkedService, AzureBlobFSLinkedService, AzureBlobStorageLinkedService, AzureDataExplorerLinkedService, AzureDataLakeAnalyticsLinkedService, AzureDataLakeStoreLinkedService, AzureDatabricksLinkedService, AzureDatabricksDeltaLakeLinkedService, AzureFileStorageLinkedService, AzureFunctionLinkedService, AzureKeyVaultLinkedService, AzureMLLinkedService, AzureMLServiceLinkedService, AzureMariaDBLinkedService, AzureMySqlLinkedService, AzurePostgreSqlLinkedService, AzureSearchLinkedService, AzureSqlDWLinkedService, AzureSqlDatabaseLinkedService, AzureSqlMILinkedService, AzureStorageLinkedService, AzureTableStorageLinkedService, CassandraLinkedService, CommonDataServiceForAppsLinkedService, ConcurLinkedService, CosmosDbLinkedService, CosmosDbMongoDbApiLinkedService, CouchbaseLinkedService, CustomDataSourceLinkedService, Db2LinkedService, DrillLinkedService, DynamicsLinkedService, DynamicsAXLinkedService, DynamicsCrmLinkedService, EloquaLinkedService, FileServerLinkedService, FtpServerLinkedService, GoogleAdWordsLinkedService, GoogleBigQueryLinkedService, GoogleCloudStorageLinkedService, GreenplumLinkedService, HBaseLinkedService, HDInsightLinkedService, HDInsightOnDemandLinkedService, HdfsLinkedService, HiveLinkedService, HttpLinkedService, HubspotLinkedService, ImpalaLinkedService, InformixLinkedService, JiraLinkedService, MagentoLinkedService, MariaDBLinkedService, MarketoLinkedService, MicrosoftAccessLinkedService, MongoDbLinkedService, MongoDbAtlasLinkedService, MongoDbV2LinkedService, MySqlLinkedService, NetezzaLinkedService, ODataLinkedService, OdbcLinkedService, Office365LinkedService, OracleLinkedService, OracleServiceCloudLinkedService, PaypalLinkedService, PhoenixLinkedService, PostgreSqlLinkedService, PrestoLinkedService, QuickBooksLinkedService, ResponsysLinkedService, RestServiceLinkedService, SalesforceLinkedService, SalesforceMarketingCloudLinkedService, SalesforceServiceCloudLinkedService, SapBWLinkedService, SapCloudForCustomerLinkedService, SapEccLinkedService, SapHanaLinkedService, SapOpenHubLinkedService, SapTableLinkedService, ServiceNowLinkedService, SftpServerLinkedService, SharePointOnlineListLinkedService, ShopifyLinkedService, SnowflakeLinkedService, SparkLinkedService, SqlServerLinkedService, SquareLinkedService, SybaseLinkedService, TeradataLinkedService, VerticaLinkedService, WebLinkedService, XeroLinkedService, ZohoLinkedService.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
    }

    _subtype_map = {
        'type': {'AmazonMWS': 'AmazonMWSLinkedService', 'AmazonRedshift': 'AmazonRedshiftLinkedService', 'AmazonS3': 'AmazonS3LinkedService', 'AzureBatch': 'AzureBatchLinkedService', 'AzureBlobFS': 'AzureBlobFSLinkedService', 'AzureBlobStorage': 'AzureBlobStorageLinkedService', 'AzureDataExplorer': 'AzureDataExplorerLinkedService', 'AzureDataLakeAnalytics': 'AzureDataLakeAnalyticsLinkedService', 'AzureDataLakeStore': 'AzureDataLakeStoreLinkedService', 'AzureDatabricks': 'AzureDatabricksLinkedService', 'AzureDatabricksDeltaLake': 'AzureDatabricksDeltaLakeLinkedService', 'AzureFileStorage': 'AzureFileStorageLinkedService', 'AzureFunction': 'AzureFunctionLinkedService', 'AzureKeyVault': 'AzureKeyVaultLinkedService', 'AzureML': 'AzureMLLinkedService', 'AzureMLService': 'AzureMLServiceLinkedService', 'AzureMariaDB': 'AzureMariaDBLinkedService', 'AzureMySql': 'AzureMySqlLinkedService', 'AzurePostgreSql': 'AzurePostgreSqlLinkedService', 'AzureSearch': 'AzureSearchLinkedService', 'AzureSqlDW': 'AzureSqlDWLinkedService', 'AzureSqlDatabase': 'AzureSqlDatabaseLinkedService', 'AzureSqlMI': 'AzureSqlMILinkedService', 'AzureStorage': 'AzureStorageLinkedService', 'AzureTableStorage': 'AzureTableStorageLinkedService', 'Cassandra': 'CassandraLinkedService', 'CommonDataServiceForApps': 'CommonDataServiceForAppsLinkedService', 'Concur': 'ConcurLinkedService', 'CosmosDb': 'CosmosDbLinkedService', 'CosmosDbMongoDbApi': 'CosmosDbMongoDbApiLinkedService', 'Couchbase': 'CouchbaseLinkedService', 'CustomDataSource': 'CustomDataSourceLinkedService', 'Db2': 'Db2LinkedService', 'Drill': 'DrillLinkedService', 'Dynamics': 'DynamicsLinkedService', 'DynamicsAX': 'DynamicsAXLinkedService', 'DynamicsCrm': 'DynamicsCrmLinkedService', 'Eloqua': 'EloquaLinkedService', 'FileServer': 'FileServerLinkedService', 'FtpServer': 'FtpServerLinkedService', 'GoogleAdWords': 'GoogleAdWordsLinkedService', 'GoogleBigQuery': 'GoogleBigQueryLinkedService', 'GoogleCloudStorage': 'GoogleCloudStorageLinkedService', 'Greenplum': 'GreenplumLinkedService', 'HBase': 'HBaseLinkedService', 'HDInsight': 'HDInsightLinkedService', 'HDInsightOnDemand': 'HDInsightOnDemandLinkedService', 'Hdfs': 'HdfsLinkedService', 'Hive': 'HiveLinkedService', 'HttpServer': 'HttpLinkedService', 'Hubspot': 'HubspotLinkedService', 'Impala': 'ImpalaLinkedService', 'Informix': 'InformixLinkedService', 'Jira': 'JiraLinkedService', 'Magento': 'MagentoLinkedService', 'MariaDB': 'MariaDBLinkedService', 'Marketo': 'MarketoLinkedService', 'MicrosoftAccess': 'MicrosoftAccessLinkedService', 'MongoDb': 'MongoDbLinkedService', 'MongoDbAtlas': 'MongoDbAtlasLinkedService', 'MongoDbV2': 'MongoDbV2LinkedService', 'MySql': 'MySqlLinkedService', 'Netezza': 'NetezzaLinkedService', 'OData': 'ODataLinkedService', 'Odbc': 'OdbcLinkedService', 'Office365': 'Office365LinkedService', 'Oracle': 'OracleLinkedService', 'OracleServiceCloud': 'OracleServiceCloudLinkedService', 'Paypal': 'PaypalLinkedService', 'Phoenix': 'PhoenixLinkedService', 'PostgreSql': 'PostgreSqlLinkedService', 'Presto': 'PrestoLinkedService', 'QuickBooks': 'QuickBooksLinkedService', 'Responsys': 'ResponsysLinkedService', 'RestService': 'RestServiceLinkedService', 'Salesforce': 'SalesforceLinkedService', 'SalesforceMarketingCloud': 'SalesforceMarketingCloudLinkedService', 'SalesforceServiceCloud': 'SalesforceServiceCloudLinkedService', 'SapBW': 'SapBWLinkedService', 'SapCloudForCustomer': 'SapCloudForCustomerLinkedService', 'SapEcc': 'SapEccLinkedService', 'SapHana': 'SapHanaLinkedService', 'SapOpenHub': 'SapOpenHubLinkedService', 'SapTable': 'SapTableLinkedService', 'ServiceNow': 'ServiceNowLinkedService', 'Sftp': 'SftpServerLinkedService', 'SharePointOnlineList': 'SharePointOnlineListLinkedService', 'Shopify': 'ShopifyLinkedService', 'Snowflake': 'SnowflakeLinkedService', 'Spark': 'SparkLinkedService', 'SqlServer': 'SqlServerLinkedService', 'Square': 'SquareLinkedService', 'Sybase': 'SybaseLinkedService', 'Teradata': 'TeradataLinkedService', 'Vertica': 'VerticaLinkedService', 'Web': 'WebLinkedService', 'Xero': 'XeroLinkedService', 'Zoho': 'ZohoLinkedService'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(LinkedService, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'LinkedService'  # type: str
        self.connect_via = connect_via
        self.description = description
        self.parameters = parameters
        self.annotations = annotations


class AmazonMWSLinkedService(LinkedService):
    """Amazon Marketplace Web Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param endpoint: Required. The endpoint of the Amazon MWS server, (i.e.
     mws.amazonservices.com).
    :type endpoint: any
    :param marketplace_id: Required. The Amazon Marketplace ID you want to retrieve data from. To
     retrieve data from multiple Marketplace IDs, separate them with a comma (,). (i.e.
     A2EUQ1WTGCTBG2).
    :type marketplace_id: any
    :param seller_id: Required. The Amazon seller ID.
    :type seller_id: any
    :param mws_auth_token: The Amazon MWS authentication token.
    :type mws_auth_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param access_key_id: Required. The access key id used to access data.
    :type access_key_id: any
    :param secret_key: The secret key used to access data.
    :type secret_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'marketplace_id': {'required': True},
        'seller_id': {'required': True},
        'access_key_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'marketplace_id': {'key': 'typeProperties.marketplaceID', 'type': 'object'},
        'seller_id': {'key': 'typeProperties.sellerID', 'type': 'object'},
        'mws_auth_token': {'key': 'typeProperties.mwsAuthToken', 'type': 'SecretBase'},
        'access_key_id': {'key': 'typeProperties.accessKeyId', 'type': 'object'},
        'secret_key': {'key': 'typeProperties.secretKey', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        marketplace_id: Any,
        seller_id: Any,
        access_key_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        mws_auth_token: Optional["SecretBase"] = None,
        secret_key: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonMWSLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AmazonMWS'  # type: str
        self.endpoint = endpoint
        self.marketplace_id = marketplace_id
        self.seller_id = seller_id
        self.mws_auth_token = mws_auth_token
        self.access_key_id = access_key_id
        self.secret_key = secret_key
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class Dataset(msrest.serialization.Model):
    """The Azure Data Factory nested object which identifies data within different data stores, such as tables, files, folders, and documents.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AmazonMWSObjectDataset, AmazonRedshiftTableDataset, AmazonS3Dataset, AvroDataset, AzureBlobDataset, AzureBlobFSDataset, AzureDataExplorerTableDataset, AzureDataLakeStoreDataset, AzureDatabricksDeltaLakeDataset, AzureMariaDBTableDataset, AzureMySqlTableDataset, AzurePostgreSqlTableDataset, AzureSearchIndexDataset, AzureSqlDWTableDataset, AzureSqlMITableDataset, AzureSqlTableDataset, AzureTableDataset, BinaryDataset, CassandraTableDataset, CommonDataServiceForAppsEntityDataset, ConcurObjectDataset, CosmosDbMongoDbApiCollectionDataset, CosmosDbSqlApiCollectionDataset, CouchbaseTableDataset, CustomDataset, Db2TableDataset, DelimitedTextDataset, DocumentDbCollectionDataset, DrillTableDataset, DynamicsAXResourceDataset, DynamicsCrmEntityDataset, DynamicsEntityDataset, EloquaObjectDataset, ExcelDataset, FileShareDataset, GoogleAdWordsObjectDataset, GoogleBigQueryObjectDataset, GreenplumTableDataset, HBaseObjectDataset, HiveObjectDataset, HttpDataset, HubspotObjectDataset, ImpalaObjectDataset, InformixTableDataset, JiraObjectDataset, JsonDataset, MagentoObjectDataset, MariaDBTableDataset, MarketoObjectDataset, MicrosoftAccessTableDataset, MongoDbAtlasCollectionDataset, MongoDbCollectionDataset, MongoDbV2CollectionDataset, MySqlTableDataset, NetezzaTableDataset, ODataResourceDataset, OdbcTableDataset, Office365Dataset, OracleServiceCloudObjectDataset, OracleTableDataset, OrcDataset, ParquetDataset, PaypalObjectDataset, PhoenixObjectDataset, PostgreSqlTableDataset, PrestoObjectDataset, QuickBooksObjectDataset, RelationalTableDataset, ResponsysObjectDataset, RestResourceDataset, SalesforceMarketingCloudObjectDataset, SalesforceObjectDataset, SalesforceServiceCloudObjectDataset, SapBwCubeDataset, SapCloudForCustomerResourceDataset, SapEccResourceDataset, SapHanaTableDataset, SapOpenHubTableDataset, SapTableResourceDataset, ServiceNowObjectDataset, SharePointOnlineListResourceDataset, ShopifyObjectDataset, SnowflakeDataset, SparkObjectDataset, SqlServerTableDataset, SquareObjectDataset, SybaseTableDataset, TeradataTableDataset, VerticaTableDataset, WebTableDataset, XeroObjectDataset, XmlDataset, ZohoObjectDataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
    }

    _subtype_map = {
        'type': {'AmazonMWSObject': 'AmazonMWSObjectDataset', 'AmazonRedshiftTable': 'AmazonRedshiftTableDataset', 'AmazonS3Object': 'AmazonS3Dataset', 'Avro': 'AvroDataset', 'AzureBlob': 'AzureBlobDataset', 'AzureBlobFSFile': 'AzureBlobFSDataset', 'AzureDataExplorerTable': 'AzureDataExplorerTableDataset', 'AzureDataLakeStoreFile': 'AzureDataLakeStoreDataset', 'AzureDatabricksDeltaLakeDataset': 'AzureDatabricksDeltaLakeDataset', 'AzureMariaDBTable': 'AzureMariaDBTableDataset', 'AzureMySqlTable': 'AzureMySqlTableDataset', 'AzurePostgreSqlTable': 'AzurePostgreSqlTableDataset', 'AzureSearchIndex': 'AzureSearchIndexDataset', 'AzureSqlDWTable': 'AzureSqlDWTableDataset', 'AzureSqlMITable': 'AzureSqlMITableDataset', 'AzureSqlTable': 'AzureSqlTableDataset', 'AzureTable': 'AzureTableDataset', 'Binary': 'BinaryDataset', 'CassandraTable': 'CassandraTableDataset', 'CommonDataServiceForAppsEntity': 'CommonDataServiceForAppsEntityDataset', 'ConcurObject': 'ConcurObjectDataset', 'CosmosDbMongoDbApiCollection': 'CosmosDbMongoDbApiCollectionDataset', 'CosmosDbSqlApiCollection': 'CosmosDbSqlApiCollectionDataset', 'CouchbaseTable': 'CouchbaseTableDataset', 'CustomDataset': 'CustomDataset', 'Db2Table': 'Db2TableDataset', 'DelimitedText': 'DelimitedTextDataset', 'DocumentDbCollection': 'DocumentDbCollectionDataset', 'DrillTable': 'DrillTableDataset', 'DynamicsAXResource': 'DynamicsAXResourceDataset', 'DynamicsCrmEntity': 'DynamicsCrmEntityDataset', 'DynamicsEntity': 'DynamicsEntityDataset', 'EloquaObject': 'EloquaObjectDataset', 'Excel': 'ExcelDataset', 'FileShare': 'FileShareDataset', 'GoogleAdWordsObject': 'GoogleAdWordsObjectDataset', 'GoogleBigQueryObject': 'GoogleBigQueryObjectDataset', 'GreenplumTable': 'GreenplumTableDataset', 'HBaseObject': 'HBaseObjectDataset', 'HiveObject': 'HiveObjectDataset', 'HttpFile': 'HttpDataset', 'HubspotObject': 'HubspotObjectDataset', 'ImpalaObject': 'ImpalaObjectDataset', 'InformixTable': 'InformixTableDataset', 'JiraObject': 'JiraObjectDataset', 'Json': 'JsonDataset', 'MagentoObject': 'MagentoObjectDataset', 'MariaDBTable': 'MariaDBTableDataset', 'MarketoObject': 'MarketoObjectDataset', 'MicrosoftAccessTable': 'MicrosoftAccessTableDataset', 'MongoDbAtlasCollection': 'MongoDbAtlasCollectionDataset', 'MongoDbCollection': 'MongoDbCollectionDataset', 'MongoDbV2Collection': 'MongoDbV2CollectionDataset', 'MySqlTable': 'MySqlTableDataset', 'NetezzaTable': 'NetezzaTableDataset', 'ODataResource': 'ODataResourceDataset', 'OdbcTable': 'OdbcTableDataset', 'Office365Table': 'Office365Dataset', 'OracleServiceCloudObject': 'OracleServiceCloudObjectDataset', 'OracleTable': 'OracleTableDataset', 'Orc': 'OrcDataset', 'Parquet': 'ParquetDataset', 'PaypalObject': 'PaypalObjectDataset', 'PhoenixObject': 'PhoenixObjectDataset', 'PostgreSqlTable': 'PostgreSqlTableDataset', 'PrestoObject': 'PrestoObjectDataset', 'QuickBooksObject': 'QuickBooksObjectDataset', 'RelationalTable': 'RelationalTableDataset', 'ResponsysObject': 'ResponsysObjectDataset', 'RestResource': 'RestResourceDataset', 'SalesforceMarketingCloudObject': 'SalesforceMarketingCloudObjectDataset', 'SalesforceObject': 'SalesforceObjectDataset', 'SalesforceServiceCloudObject': 'SalesforceServiceCloudObjectDataset', 'SapBwCube': 'SapBwCubeDataset', 'SapCloudForCustomerResource': 'SapCloudForCustomerResourceDataset', 'SapEccResource': 'SapEccResourceDataset', 'SapHanaTable': 'SapHanaTableDataset', 'SapOpenHubTable': 'SapOpenHubTableDataset', 'SapTableResource': 'SapTableResourceDataset', 'ServiceNowObject': 'ServiceNowObjectDataset', 'SharePointOnlineListResource': 'SharePointOnlineListResourceDataset', 'ShopifyObject': 'ShopifyObjectDataset', 'SnowflakeTable': 'SnowflakeDataset', 'SparkObject': 'SparkObjectDataset', 'SqlServerTable': 'SqlServerTableDataset', 'SquareObject': 'SquareObjectDataset', 'SybaseTable': 'SybaseTableDataset', 'TeradataTable': 'TeradataTableDataset', 'VerticaTable': 'VerticaTableDataset', 'WebTable': 'WebTableDataset', 'XeroObject': 'XeroObjectDataset', 'Xml': 'XmlDataset', 'ZohoObject': 'ZohoObjectDataset'}
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(Dataset, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'Dataset'  # type: str
        self.description = description
        self.structure = structure
        self.schema = schema
        self.linked_service_name = linked_service_name
        self.parameters = parameters
        self.annotations = annotations
        self.folder = folder


class AmazonMWSObjectDataset(Dataset):
    """Amazon Marketplace Web Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonMWSObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AmazonMWSObject'  # type: str
        self.table_name = table_name


class CopySource(msrest.serialization.Model):
    """A copy activity source.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AvroSource, AzureBlobFSSource, AzureDataExplorerSource, AzureDataLakeStoreSource, AzureDatabricksDeltaLakeSource, BinarySource, BlobSource, CommonDataServiceForAppsSource, CosmosDbMongoDbApiSource, CosmosDbSqlApiSource, DelimitedTextSource, DocumentDbCollectionSource, DynamicsCrmSource, DynamicsSource, ExcelSource, FileSystemSource, HdfsSource, HttpSource, JsonSource, MicrosoftAccessSource, MongoDbAtlasSource, MongoDbSource, MongoDbV2Source, ODataSource, Office365Source, OracleSource, OrcSource, ParquetSource, RelationalSource, RestSource, SalesforceServiceCloudSource, SharePointOnlineListSource, SnowflakeSource, TabularSource, WebSource, XmlSource.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AvroSource': 'AvroSource', 'AzureBlobFSSource': 'AzureBlobFSSource', 'AzureDataExplorerSource': 'AzureDataExplorerSource', 'AzureDataLakeStoreSource': 'AzureDataLakeStoreSource', 'AzureDatabricksDeltaLakeSource': 'AzureDatabricksDeltaLakeSource', 'BinarySource': 'BinarySource', 'BlobSource': 'BlobSource', 'CommonDataServiceForAppsSource': 'CommonDataServiceForAppsSource', 'CosmosDbMongoDbApiSource': 'CosmosDbMongoDbApiSource', 'CosmosDbSqlApiSource': 'CosmosDbSqlApiSource', 'DelimitedTextSource': 'DelimitedTextSource', 'DocumentDbCollectionSource': 'DocumentDbCollectionSource', 'DynamicsCrmSource': 'DynamicsCrmSource', 'DynamicsSource': 'DynamicsSource', 'ExcelSource': 'ExcelSource', 'FileSystemSource': 'FileSystemSource', 'HdfsSource': 'HdfsSource', 'HttpSource': 'HttpSource', 'JsonSource': 'JsonSource', 'MicrosoftAccessSource': 'MicrosoftAccessSource', 'MongoDbAtlasSource': 'MongoDbAtlasSource', 'MongoDbSource': 'MongoDbSource', 'MongoDbV2Source': 'MongoDbV2Source', 'ODataSource': 'ODataSource', 'Office365Source': 'Office365Source', 'OracleSource': 'OracleSource', 'OrcSource': 'OrcSource', 'ParquetSource': 'ParquetSource', 'RelationalSource': 'RelationalSource', 'RestSource': 'RestSource', 'SalesforceServiceCloudSource': 'SalesforceServiceCloudSource', 'SharePointOnlineListSource': 'SharePointOnlineListSource', 'SnowflakeSource': 'SnowflakeSource', 'TabularSource': 'TabularSource', 'WebSource': 'WebSource', 'XmlSource': 'XmlSource'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        **kwargs
    ):
        super(CopySource, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'CopySource'  # type: str
        self.source_retry_count = source_retry_count
        self.source_retry_wait = source_retry_wait
        self.max_concurrent_connections = max_concurrent_connections


class TabularSource(CopySource):
    """Copy activity sources of tabular type.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AmazonMWSSource, AmazonRedshiftSource, AzureMariaDBSource, AzureMySqlSource, AzurePostgreSqlSource, AzureSqlSource, AzureTableSource, CassandraSource, ConcurSource, CouchbaseSource, Db2Source, DrillSource, DynamicsAXSource, EloquaSource, GoogleAdWordsSource, GoogleBigQuerySource, GreenplumSource, HBaseSource, HiveSource, HubspotSource, ImpalaSource, InformixSource, JiraSource, MagentoSource, MariaDBSource, MarketoSource, MySqlSource, NetezzaSource, OdbcSource, OracleServiceCloudSource, PaypalSource, PhoenixSource, PostgreSqlSource, PrestoSource, QuickBooksSource, ResponsysSource, SalesforceMarketingCloudSource, SalesforceSource, SapBwSource, SapCloudForCustomerSource, SapEccSource, SapHanaSource, SapOpenHubSource, SapTableSource, ServiceNowSource, ShopifySource, SparkSource, SqlDWSource, SqlMISource, SqlServerSource, SqlSource, SquareSource, SybaseSource, TeradataSource, VerticaSource, XeroSource, ZohoSource.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AmazonMWSSource': 'AmazonMWSSource', 'AmazonRedshiftSource': 'AmazonRedshiftSource', 'AzureMariaDBSource': 'AzureMariaDBSource', 'AzureMySqlSource': 'AzureMySqlSource', 'AzurePostgreSqlSource': 'AzurePostgreSqlSource', 'AzureSqlSource': 'AzureSqlSource', 'AzureTableSource': 'AzureTableSource', 'CassandraSource': 'CassandraSource', 'ConcurSource': 'ConcurSource', 'CouchbaseSource': 'CouchbaseSource', 'Db2Source': 'Db2Source', 'DrillSource': 'DrillSource', 'DynamicsAXSource': 'DynamicsAXSource', 'EloquaSource': 'EloquaSource', 'GoogleAdWordsSource': 'GoogleAdWordsSource', 'GoogleBigQuerySource': 'GoogleBigQuerySource', 'GreenplumSource': 'GreenplumSource', 'HBaseSource': 'HBaseSource', 'HiveSource': 'HiveSource', 'HubspotSource': 'HubspotSource', 'ImpalaSource': 'ImpalaSource', 'InformixSource': 'InformixSource', 'JiraSource': 'JiraSource', 'MagentoSource': 'MagentoSource', 'MariaDBSource': 'MariaDBSource', 'MarketoSource': 'MarketoSource', 'MySqlSource': 'MySqlSource', 'NetezzaSource': 'NetezzaSource', 'OdbcSource': 'OdbcSource', 'OracleServiceCloudSource': 'OracleServiceCloudSource', 'PaypalSource': 'PaypalSource', 'PhoenixSource': 'PhoenixSource', 'PostgreSqlSource': 'PostgreSqlSource', 'PrestoSource': 'PrestoSource', 'QuickBooksSource': 'QuickBooksSource', 'ResponsysSource': 'ResponsysSource', 'SalesforceMarketingCloudSource': 'SalesforceMarketingCloudSource', 'SalesforceSource': 'SalesforceSource', 'SapBwSource': 'SapBwSource', 'SapCloudForCustomerSource': 'SapCloudForCustomerSource', 'SapEccSource': 'SapEccSource', 'SapHanaSource': 'SapHanaSource', 'SapOpenHubSource': 'SapOpenHubSource', 'SapTableSource': 'SapTableSource', 'ServiceNowSource': 'ServiceNowSource', 'ShopifySource': 'ShopifySource', 'SparkSource': 'SparkSource', 'SqlDWSource': 'SqlDWSource', 'SqlMISource': 'SqlMISource', 'SqlServerSource': 'SqlServerSource', 'SqlSource': 'SqlSource', 'SquareSource': 'SquareSource', 'SybaseSource': 'SybaseSource', 'TeradataSource': 'TeradataSource', 'VerticaSource': 'VerticaSource', 'XeroSource': 'XeroSource', 'ZohoSource': 'ZohoSource'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(TabularSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'TabularSource'  # type: str
        self.query_timeout = query_timeout
        self.additional_columns = additional_columns


class AmazonMWSSource(TabularSource):
    """A copy activity Amazon Marketplace Web Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonMWSSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AmazonMWSSource'  # type: str
        self.query = query


class AmazonRedshiftLinkedService(LinkedService):
    """Linked service for Amazon Redshift.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param server: Required. The name of the Amazon Redshift server. Type: string (or Expression
     with resultType string).
    :type server: any
    :param username: The username of the Amazon Redshift source. Type: string (or Expression with
     resultType string).
    :type username: any
    :param password: The password of the Amazon Redshift source.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param database: Required. The database name of the Amazon Redshift source. Type: string (or
     Expression with resultType string).
    :type database: any
    :param port: The TCP port number that the Amazon Redshift server uses to listen for client
     connections. The default value is 5439. Type: integer (or Expression with resultType integer).
    :type port: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
        'database': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        database: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        port: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonRedshiftLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AmazonRedshift'  # type: str
        self.server = server
        self.username = username
        self.password = password
        self.database = database
        self.port = port
        self.encrypted_credential = encrypted_credential


class AmazonRedshiftSource(TabularSource):
    """A copy activity source for Amazon Redshift Source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    :param redshift_unload_settings: The Amazon S3 settings needed for the interim Amazon S3 when
     copying from Amazon Redshift with unload. With this, data from Amazon Redshift source will be
     unloaded into S3 first and then copied into the targeted sink from the interim S3.
    :type redshift_unload_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.RedshiftUnloadSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'redshift_unload_settings': {'key': 'redshiftUnloadSettings', 'type': 'RedshiftUnloadSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        redshift_unload_settings: Optional["RedshiftUnloadSettings"] = None,
        **kwargs
    ):
        super(AmazonRedshiftSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AmazonRedshiftSource'  # type: str
        self.query = query
        self.redshift_unload_settings = redshift_unload_settings


class AmazonRedshiftTableDataset(Dataset):
    """The Amazon Redshift table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The Amazon Redshift table name. Type: string (or Expression with resultType
     string).
    :type table: any
    :param schema_type_properties_schema: The Amazon Redshift schema name. Type: string (or
     Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonRedshiftTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AmazonRedshiftTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class AmazonS3Dataset(Dataset):
    """A single Amazon Simple Storage Service (S3) object or a set of S3 objects.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param bucket_name: Required. The name of the Amazon S3 bucket. Type: string (or Expression
     with resultType string).
    :type bucket_name: any
    :param key: The key of the Amazon S3 object. Type: string (or Expression with resultType
     string).
    :type key: any
    :param prefix: The prefix filter for the S3 object name. Type: string (or Expression with
     resultType string).
    :type prefix: any
    :param version: The version for the S3 object. Type: string (or Expression with resultType
     string).
    :type version: any
    :param modified_datetime_start: The start of S3 object's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of S3 object's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_end: any
    :param format: The format of files.
    :type format: ~azure.synapse.artifacts.v2020_12_01.models.DatasetStorageFormat
    :param compression: The data compression method used for the Amazon S3 object.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'bucket_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'bucket_name': {'key': 'typeProperties.bucketName', 'type': 'object'},
        'key': {'key': 'typeProperties.key', 'type': 'object'},
        'prefix': {'key': 'typeProperties.prefix', 'type': 'object'},
        'version': {'key': 'typeProperties.version', 'type': 'object'},
        'modified_datetime_start': {'key': 'typeProperties.modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'typeProperties.modifiedDatetimeEnd', 'type': 'object'},
        'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        bucket_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        key: Optional[Any] = None,
        prefix: Optional[Any] = None,
        version: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        format: Optional["DatasetStorageFormat"] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(AmazonS3Dataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AmazonS3Object'  # type: str
        self.bucket_name = bucket_name
        self.key = key
        self.prefix = prefix
        self.version = version
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end
        self.format = format
        self.compression = compression


class AmazonS3LinkedService(LinkedService):
    """Linked service for Amazon S3.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param authentication_type: The authentication type of S3. Allowed value: AccessKey (default)
     or TemporarySecurityCredentials. Type: string (or Expression with resultType string).
    :type authentication_type: any
    :param access_key_id: The access key identifier of the Amazon S3 Identity and Access Management
     (IAM) user. Type: string (or Expression with resultType string).
    :type access_key_id: any
    :param secret_access_key: The secret access key of the Amazon S3 Identity and Access Management
     (IAM) user.
    :type secret_access_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_url: This value specifies the endpoint to access with the S3 Connector. This is
     an optional property; change it only if you want to try a different service endpoint or want to
     switch between https and http. Type: string (or Expression with resultType string).
    :type service_url: any
    :param session_token: The session token for the S3 temporary security credential.
    :type session_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'object'},
        'access_key_id': {'key': 'typeProperties.accessKeyId', 'type': 'object'},
        'secret_access_key': {'key': 'typeProperties.secretAccessKey', 'type': 'SecretBase'},
        'service_url': {'key': 'typeProperties.serviceUrl', 'type': 'object'},
        'session_token': {'key': 'typeProperties.sessionToken', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Any] = None,
        access_key_id: Optional[Any] = None,
        secret_access_key: Optional["SecretBase"] = None,
        service_url: Optional[Any] = None,
        session_token: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonS3LinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AmazonS3'  # type: str
        self.authentication_type = authentication_type
        self.access_key_id = access_key_id
        self.secret_access_key = secret_access_key
        self.service_url = service_url
        self.session_token = session_token
        self.encrypted_credential = encrypted_credential


class DatasetLocation(msrest.serialization.Model):
    """Dataset location.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AmazonS3Location, AzureBlobFSLocation, AzureBlobStorageLocation, AzureDataLakeStoreLocation, AzureFileStorageLocation, FileServerLocation, FtpServerLocation, GoogleCloudStorageLocation, HdfsLocation, HttpServerLocation, SftpLocation.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AmazonS3Location': 'AmazonS3Location', 'AzureBlobFSLocation': 'AzureBlobFSLocation', 'AzureBlobStorageLocation': 'AzureBlobStorageLocation', 'AzureDataLakeStoreLocation': 'AzureDataLakeStoreLocation', 'AzureFileStorageLocation': 'AzureFileStorageLocation', 'FileServerLocation': 'FileServerLocation', 'FtpServerLocation': 'FtpServerLocation', 'GoogleCloudStorageLocation': 'GoogleCloudStorageLocation', 'HdfsLocation': 'HdfsLocation', 'HttpServerLocation': 'HttpServerLocation', 'SftpLocation': 'SftpLocation'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetLocation, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'DatasetLocation'  # type: str
        self.folder_path = folder_path
        self.file_name = file_name


class AmazonS3Location(DatasetLocation):
    """The location of amazon S3 dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    :param bucket_name: Specify the bucketName of amazon S3. Type: string (or Expression with
     resultType string).
    :type bucket_name: any
    :param version: Specify the version of amazon S3. Type: string (or Expression with resultType
     string).
    :type version: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
        'bucket_name': {'key': 'bucketName', 'type': 'object'},
        'version': {'key': 'version', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        bucket_name: Optional[Any] = None,
        version: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonS3Location, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'AmazonS3Location'  # type: str
        self.bucket_name = bucket_name
        self.version = version


class StoreReadSettings(msrest.serialization.Model):
    """Connector read setting.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AmazonS3ReadSettings, AzureBlobFSReadSettings, AzureBlobStorageReadSettings, AzureDataLakeStoreReadSettings, AzureFileStorageReadSettings, FileServerReadSettings, FtpReadSettings, GoogleCloudStorageReadSettings, HdfsReadSettings, HttpReadSettings, SftpReadSettings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AmazonS3ReadSettings': 'AmazonS3ReadSettings', 'AzureBlobFSReadSettings': 'AzureBlobFSReadSettings', 'AzureBlobStorageReadSettings': 'AzureBlobStorageReadSettings', 'AzureDataLakeStoreReadSettings': 'AzureDataLakeStoreReadSettings', 'AzureFileStorageReadSettings': 'AzureFileStorageReadSettings', 'FileServerReadSettings': 'FileServerReadSettings', 'FtpReadSettings': 'FtpReadSettings', 'GoogleCloudStorageReadSettings': 'GoogleCloudStorageReadSettings', 'HdfsReadSettings': 'HdfsReadSettings', 'HttpReadSettings': 'HttpReadSettings', 'SftpReadSettings': 'SftpReadSettings'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        **kwargs
    ):
        super(StoreReadSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'StoreReadSettings'  # type: str
        self.max_concurrent_connections = max_concurrent_connections


class AmazonS3ReadSettings(StoreReadSettings):
    """Azure data lake store read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: AmazonS3 wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: AmazonS3 wildcardFileName. Type: string (or Expression with
     resultType string).
    :type wildcard_file_name: any
    :param prefix: The prefix filter for the S3 object name. Type: string (or Expression with
     resultType string).
    :type prefix: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'prefix': {'key': 'prefix', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        prefix: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(AmazonS3ReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AmazonS3ReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.prefix = prefix
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class ControlActivity(Activity):
    """Base class for all control activities like IfCondition, ForEach , Until.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AppendVariableActivity, ExecutePipelineActivity, FilterActivity, ForEachActivity, IfConditionActivity, SetVariableActivity, SwitchActivity, UntilActivity, ValidationActivity, WaitActivity, WebHookActivity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
    }

    _subtype_map = {
        'type': {'AppendVariable': 'AppendVariableActivity', 'ExecutePipeline': 'ExecutePipelineActivity', 'Filter': 'FilterActivity', 'ForEach': 'ForEachActivity', 'IfCondition': 'IfConditionActivity', 'SetVariable': 'SetVariableActivity', 'Switch': 'SwitchActivity', 'Until': 'UntilActivity', 'Validation': 'ValidationActivity', 'Wait': 'WaitActivity', 'WebHook': 'WebHookActivity'}
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        **kwargs
    ):
        super(ControlActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Container'  # type: str


class AppendVariableActivity(ControlActivity):
    """Append value for a Variable of type Array.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param variable_name: Name of the variable whose value needs to be appended to.
    :type variable_name: str
    :param value: Value to be appended. Could be a static value or Expression.
    :type value: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'variable_name': {'key': 'typeProperties.variableName', 'type': 'str'},
        'value': {'key': 'typeProperties.value', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        variable_name: Optional[str] = None,
        value: Optional[Any] = None,
        **kwargs
    ):
        super(AppendVariableActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'AppendVariable'  # type: str
        self.variable_name = variable_name
        self.value = value


class ArtifactRenameRequest(msrest.serialization.Model):
    """Request body structure for rename artifact.

    :param new_name: New name of the artifact.
    :type new_name: str
    """

    _validation = {
        'new_name': {'max_length': 260, 'min_length': 1, 'pattern': r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'},
    }

    _attribute_map = {
        'new_name': {'key': 'newName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        new_name: Optional[str] = None,
        **kwargs
    ):
        super(ArtifactRenameRequest, self).__init__(**kwargs)
        self.new_name = new_name


class AutoPauseProperties(msrest.serialization.Model):
    """Auto-pausing properties of a Big Data pool powered by Apache Spark.

    :param delay_in_minutes: Number of minutes of idle time before the Big Data pool is
     automatically paused.
    :type delay_in_minutes: int
    :param enabled: Whether auto-pausing is enabled for the Big Data pool.
    :type enabled: bool
    """

    _attribute_map = {
        'delay_in_minutes': {'key': 'delayInMinutes', 'type': 'int'},
        'enabled': {'key': 'enabled', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        delay_in_minutes: Optional[int] = None,
        enabled: Optional[bool] = None,
        **kwargs
    ):
        super(AutoPauseProperties, self).__init__(**kwargs)
        self.delay_in_minutes = delay_in_minutes
        self.enabled = enabled


class AutoScaleProperties(msrest.serialization.Model):
    """Auto-scaling properties of a Big Data pool powered by Apache Spark.

    :param min_node_count: The minimum number of nodes the Big Data pool can support.
    :type min_node_count: int
    :param enabled: Whether automatic scaling is enabled for the Big Data pool.
    :type enabled: bool
    :param max_node_count: The maximum number of nodes the Big Data pool can support.
    :type max_node_count: int
    """

    _attribute_map = {
        'min_node_count': {'key': 'minNodeCount', 'type': 'int'},
        'enabled': {'key': 'enabled', 'type': 'bool'},
        'max_node_count': {'key': 'maxNodeCount', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        min_node_count: Optional[int] = None,
        enabled: Optional[bool] = None,
        max_node_count: Optional[int] = None,
        **kwargs
    ):
        super(AutoScaleProperties, self).__init__(**kwargs)
        self.min_node_count = min_node_count
        self.enabled = enabled
        self.max_node_count = max_node_count


class AvroDataset(Dataset):
    """Avro dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the avro storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param avro_compression_codec: A string from AvroCompressionCodecEnum or an expression.
    :type avro_compression_codec: any
    :param avro_compression_level:
    :type avro_compression_level: int
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'avro_compression_level': {'maximum': 9, 'minimum': 1},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'avro_compression_codec': {'key': 'typeProperties.avroCompressionCodec', 'type': 'object'},
        'avro_compression_level': {'key': 'typeProperties.avroCompressionLevel', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        avro_compression_codec: Optional[Any] = None,
        avro_compression_level: Optional[int] = None,
        **kwargs
    ):
        super(AvroDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Avro'  # type: str
        self.location = location
        self.avro_compression_codec = avro_compression_codec
        self.avro_compression_level = avro_compression_level


class DatasetStorageFormat(msrest.serialization.Model):
    """The format definition of a storage.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AvroFormat, JsonFormat, OrcFormat, ParquetFormat, TextFormat.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage format.Constant filled by server.
    :type type: str
    :param serializer: Serializer. Type: string (or Expression with resultType string).
    :type serializer: any
    :param deserializer: Deserializer. Type: string (or Expression with resultType string).
    :type deserializer: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'serializer': {'key': 'serializer', 'type': 'object'},
        'deserializer': {'key': 'deserializer', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AvroFormat': 'AvroFormat', 'JsonFormat': 'JsonFormat', 'OrcFormat': 'OrcFormat', 'ParquetFormat': 'ParquetFormat', 'TextFormat': 'TextFormat'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        serializer: Optional[Any] = None,
        deserializer: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetStorageFormat, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'DatasetStorageFormat'  # type: str
        self.serializer = serializer
        self.deserializer = deserializer


class AvroFormat(DatasetStorageFormat):
    """The data stored in Avro format.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage format.Constant filled by server.
    :type type: str
    :param serializer: Serializer. Type: string (or Expression with resultType string).
    :type serializer: any
    :param deserializer: Deserializer. Type: string (or Expression with resultType string).
    :type deserializer: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'serializer': {'key': 'serializer', 'type': 'object'},
        'deserializer': {'key': 'deserializer', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        serializer: Optional[Any] = None,
        deserializer: Optional[Any] = None,
        **kwargs
    ):
        super(AvroFormat, self).__init__(additional_properties=additional_properties, serializer=serializer, deserializer=deserializer, **kwargs)
        self.type = 'AvroFormat'  # type: str


class CopySink(msrest.serialization.Model):
    """A copy activity sink.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AvroSink, AzureBlobFSSink, AzureDataExplorerSink, AzureDataLakeStoreSink, AzureDatabricksDeltaLakeSink, AzureMySqlSink, AzurePostgreSqlSink, AzureQueueSink, AzureSearchIndexSink, AzureSqlSink, AzureTableSink, BinarySink, BlobSink, CommonDataServiceForAppsSink, CosmosDbMongoDbApiSink, CosmosDbSqlApiSink, DelimitedTextSink, DocumentDbCollectionSink, DynamicsCrmSink, DynamicsSink, FileSystemSink, InformixSink, JsonSink, MicrosoftAccessSink, OdbcSink, OracleSink, OrcSink, ParquetSink, RestSink, SalesforceServiceCloudSink, SalesforceSink, SapCloudForCustomerSink, SnowflakeSink, SqlDWSink, SqlMISink, SqlServerSink, SqlSink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AvroSink': 'AvroSink', 'AzureBlobFSSink': 'AzureBlobFSSink', 'AzureDataExplorerSink': 'AzureDataExplorerSink', 'AzureDataLakeStoreSink': 'AzureDataLakeStoreSink', 'AzureDatabricksDeltaLakeSink': 'AzureDatabricksDeltaLakeSink', 'AzureMySqlSink': 'AzureMySqlSink', 'AzurePostgreSqlSink': 'AzurePostgreSqlSink', 'AzureQueueSink': 'AzureQueueSink', 'AzureSearchIndexSink': 'AzureSearchIndexSink', 'AzureSqlSink': 'AzureSqlSink', 'AzureTableSink': 'AzureTableSink', 'BinarySink': 'BinarySink', 'BlobSink': 'BlobSink', 'CommonDataServiceForAppsSink': 'CommonDataServiceForAppsSink', 'CosmosDbMongoDbApiSink': 'CosmosDbMongoDbApiSink', 'CosmosDbSqlApiSink': 'CosmosDbSqlApiSink', 'DelimitedTextSink': 'DelimitedTextSink', 'DocumentDbCollectionSink': 'DocumentDbCollectionSink', 'DynamicsCrmSink': 'DynamicsCrmSink', 'DynamicsSink': 'DynamicsSink', 'FileSystemSink': 'FileSystemSink', 'InformixSink': 'InformixSink', 'JsonSink': 'JsonSink', 'MicrosoftAccessSink': 'MicrosoftAccessSink', 'OdbcSink': 'OdbcSink', 'OracleSink': 'OracleSink', 'OrcSink': 'OrcSink', 'ParquetSink': 'ParquetSink', 'RestSink': 'RestSink', 'SalesforceServiceCloudSink': 'SalesforceServiceCloudSink', 'SalesforceSink': 'SalesforceSink', 'SapCloudForCustomerSink': 'SapCloudForCustomerSink', 'SnowflakeSink': 'SnowflakeSink', 'SqlDWSink': 'SqlDWSink', 'SqlMISink': 'SqlMISink', 'SqlServerSink': 'SqlServerSink', 'SqlSink': 'SqlSink'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        **kwargs
    ):
        super(CopySink, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'CopySink'  # type: str
        self.write_batch_size = write_batch_size
        self.write_batch_timeout = write_batch_timeout
        self.sink_retry_count = sink_retry_count
        self.sink_retry_wait = sink_retry_wait
        self.max_concurrent_connections = max_concurrent_connections


class AvroSink(CopySink):
    """A copy activity Avro sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Avro store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreWriteSettings
    :param format_settings: Avro format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.AvroWriteSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreWriteSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'AvroWriteSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreWriteSettings"] = None,
        format_settings: Optional["AvroWriteSettings"] = None,
        **kwargs
    ):
        super(AvroSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AvroSink'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings


class AvroSource(CopySource):
    """A copy activity Avro source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Avro store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(AvroSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AvroSource'  # type: str
        self.store_settings = store_settings
        self.additional_columns = additional_columns


class FormatWriteSettings(msrest.serialization.Model):
    """Format write settings.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AvroWriteSettings, DelimitedTextWriteSettings, JsonWriteSettings, OrcWriteSettings, ParquetWriteSettings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'AvroWriteSettings': 'AvroWriteSettings', 'DelimitedTextWriteSettings': 'DelimitedTextWriteSettings', 'JsonWriteSettings': 'JsonWriteSettings', 'OrcWriteSettings': 'OrcWriteSettings', 'ParquetWriteSettings': 'ParquetWriteSettings'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(FormatWriteSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'FormatWriteSettings'  # type: str


class AvroWriteSettings(FormatWriteSettings):
    """Avro write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param record_name: Top level record name in write result, which is required in AVRO spec.
    :type record_name: str
    :param record_namespace: Record namespace in the write result.
    :type record_namespace: str
    :param max_rows_per_file: Limit the written file's row count to be smaller than or equal to the
     specified count. Type: integer (or Expression with resultType integer).
    :type max_rows_per_file: any
    :param file_name_prefix: Specifies the file name pattern
     :code:`<fileNamePrefix>`_:code:`<fileIndex>`.:code:`<fileExtension>` when copy from non-file
     based store without partitionOptions. Type: string (or Expression with resultType string).
    :type file_name_prefix: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'record_name': {'key': 'recordName', 'type': 'str'},
        'record_namespace': {'key': 'recordNamespace', 'type': 'str'},
        'max_rows_per_file': {'key': 'maxRowsPerFile', 'type': 'object'},
        'file_name_prefix': {'key': 'fileNamePrefix', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        record_name: Optional[str] = None,
        record_namespace: Optional[str] = None,
        max_rows_per_file: Optional[Any] = None,
        file_name_prefix: Optional[Any] = None,
        **kwargs
    ):
        super(AvroWriteSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'AvroWriteSettings'  # type: str
        self.record_name = record_name
        self.record_namespace = record_namespace
        self.max_rows_per_file = max_rows_per_file
        self.file_name_prefix = file_name_prefix


class AzureBatchLinkedService(LinkedService):
    """Azure Batch linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param account_name: Required. The Azure Batch account name. Type: string (or Expression with
     resultType string).
    :type account_name: any
    :param access_key: The Azure Batch account access key.
    :type access_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param batch_uri: Required. The Azure Batch URI. Type: string (or Expression with resultType
     string).
    :type batch_uri: any
    :param pool_name: Required. The Azure Batch pool name. Type: string (or Expression with
     resultType string).
    :type pool_name: any
    :param linked_service_name: Required. The Azure Storage linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'account_name': {'required': True},
        'batch_uri': {'required': True},
        'pool_name': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'account_name': {'key': 'typeProperties.accountName', 'type': 'object'},
        'access_key': {'key': 'typeProperties.accessKey', 'type': 'SecretBase'},
        'batch_uri': {'key': 'typeProperties.batchUri', 'type': 'object'},
        'pool_name': {'key': 'typeProperties.poolName', 'type': 'object'},
        'linked_service_name': {'key': 'typeProperties.linkedServiceName', 'type': 'LinkedServiceReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        account_name: Any,
        batch_uri: Any,
        pool_name: Any,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        access_key: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBatchLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureBatch'  # type: str
        self.account_name = account_name
        self.access_key = access_key
        self.batch_uri = batch_uri
        self.pool_name = pool_name
        self.linked_service_name = linked_service_name
        self.encrypted_credential = encrypted_credential


class AzureBlobDataset(Dataset):
    """The Azure Blob storage.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param folder_path: The path of the Azure Blob storage. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param table_root_location: The root of blob path. Type: string (or Expression with resultType
     string).
    :type table_root_location: any
    :param file_name: The name of the Azure Blob. Type: string (or Expression with resultType
     string).
    :type file_name: any
    :param modified_datetime_start: The start of Azure Blob's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of Azure Blob's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_end: any
    :param format: The format of the Azure Blob storage.
    :type format: ~azure.synapse.artifacts.v2020_12_01.models.DatasetStorageFormat
    :param compression: The data compression method used for the blob storage.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
        'table_root_location': {'key': 'typeProperties.tableRootLocation', 'type': 'object'},
        'file_name': {'key': 'typeProperties.fileName', 'type': 'object'},
        'modified_datetime_start': {'key': 'typeProperties.modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'typeProperties.modifiedDatetimeEnd', 'type': 'object'},
        'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        folder_path: Optional[Any] = None,
        table_root_location: Optional[Any] = None,
        file_name: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        format: Optional["DatasetStorageFormat"] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(AzureBlobDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureBlob'  # type: str
        self.folder_path = folder_path
        self.table_root_location = table_root_location
        self.file_name = file_name
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end
        self.format = format
        self.compression = compression


class AzureBlobFSDataset(Dataset):
    """The Azure Data Lake Storage Gen2 storage.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param folder_path: The path of the Azure Data Lake Storage Gen2 storage. Type: string (or
     Expression with resultType string).
    :type folder_path: any
    :param file_name: The name of the Azure Data Lake Storage Gen2. Type: string (or Expression
     with resultType string).
    :type file_name: any
    :param format: The format of the Azure Data Lake Storage Gen2 storage.
    :type format: ~azure.synapse.artifacts.v2020_12_01.models.DatasetStorageFormat
    :param compression: The data compression method used for the blob storage.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
        'file_name': {'key': 'typeProperties.fileName', 'type': 'object'},
        'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        format: Optional["DatasetStorageFormat"] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(AzureBlobFSDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureBlobFSFile'  # type: str
        self.folder_path = folder_path
        self.file_name = file_name
        self.format = format
        self.compression = compression


class AzureBlobFSLinkedService(LinkedService):
    """Azure Data Lake Storage Gen2 linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. Endpoint for the Azure Data Lake Storage Gen2 service. Type: string (or
     Expression with resultType string).
    :type url: any
    :param account_key: Account key for the Azure Data Lake Storage Gen2 service. Type: string (or
     Expression with resultType string).
    :type account_key: any
    :param service_principal_id: The ID of the application used to authenticate against the Azure
     Data Lake Storage Gen2 account. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The Key of the application used to authenticate against the Azure
     Data Lake Storage Gen2 account.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'account_key': {'key': 'typeProperties.accountKey', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        account_key: Optional[Any] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobFSLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureBlobFS'  # type: str
        self.url = url
        self.account_key = account_key
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.encrypted_credential = encrypted_credential


class AzureBlobFSLocation(DatasetLocation):
    """The location of azure blobFS dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    :param file_system: Specify the fileSystem of azure blobFS. Type: string (or Expression with
     resultType string).
    :type file_system: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
        'file_system': {'key': 'fileSystem', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        file_system: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobFSLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'AzureBlobFSLocation'  # type: str
        self.file_system = file_system


class AzureBlobFSReadSettings(StoreReadSettings):
    """Azure blobFS read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: Azure blobFS wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: Azure blobFS wildcardFileName. Type: string (or Expression with
     resultType string).
    :type wildcard_file_name: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobFSReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureBlobFSReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class AzureBlobFSSink(CopySink):
    """A copy activity Azure Data Lake Storage Gen2 sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobFSSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureBlobFSSink'  # type: str
        self.copy_behavior = copy_behavior


class AzureBlobFSSource(CopySource):
    """A copy activity Azure BlobFS source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param treat_empty_as_null: Treat empty as null. Type: boolean (or Expression with resultType
     boolean).
    :type treat_empty_as_null: any
    :param skip_header_line_count: Number of header lines to skip from each blob. Type: integer (or
     Expression with resultType integer).
    :type skip_header_line_count: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'treat_empty_as_null': {'key': 'treatEmptyAsNull', 'type': 'object'},
        'skip_header_line_count': {'key': 'skipHeaderLineCount', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        treat_empty_as_null: Optional[Any] = None,
        skip_header_line_count: Optional[Any] = None,
        recursive: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobFSSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureBlobFSSource'  # type: str
        self.treat_empty_as_null = treat_empty_as_null
        self.skip_header_line_count = skip_header_line_count
        self.recursive = recursive


class StoreWriteSettings(msrest.serialization.Model):
    """Connector write settings.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AzureBlobFSWriteSettings, AzureBlobStorageWriteSettings, AzureDataLakeStoreWriteSettings, AzureFileStorageWriteSettings, FileServerWriteSettings, SftpWriteSettings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'AzureBlobFSWriteSettings': 'AzureBlobFSWriteSettings', 'AzureBlobStorageWriteSettings': 'AzureBlobStorageWriteSettings', 'AzureDataLakeStoreWriteSettings': 'AzureDataLakeStoreWriteSettings', 'AzureFileStorageWriteSettings': 'AzureFileStorageWriteSettings', 'FileServerWriteSettings': 'FileServerWriteSettings', 'SftpWriteSettings': 'SftpWriteSettings'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(StoreWriteSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'StoreWriteSettings'  # type: str
        self.max_concurrent_connections = max_concurrent_connections
        self.copy_behavior = copy_behavior


class AzureBlobFSWriteSettings(StoreWriteSettings):
    """Azure blobFS write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    :param block_size_in_mb: Indicates the block size(MB) when writing data to blob. Type: integer
     (or Expression with resultType integer).
    :type block_size_in_mb: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
        'block_size_in_mb': {'key': 'blockSizeInMB', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        block_size_in_mb: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobFSWriteSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, copy_behavior=copy_behavior, **kwargs)
        self.type = 'AzureBlobFSWriteSettings'  # type: str
        self.block_size_in_mb = block_size_in_mb


class AzureBlobStorageLinkedService(LinkedService):
    """The azure blob storage linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: The connection string. It is mutually exclusive with sasUri,
     serviceEndpoint property. Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param account_key: The Azure key vault secret reference of accountKey in connection string.
    :type account_key: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param sas_uri: SAS URI of the Azure Blob Storage resource. It is mutually exclusive with
     connectionString, serviceEndpoint property. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type sas_uri: any
    :param sas_token: The Azure key vault secret reference of sasToken in sas uri.
    :type sas_token: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param service_endpoint: Blob service endpoint of the Azure Blob Storage resource. It is
     mutually exclusive with connectionString, sasUri property.
    :type service_endpoint: str
    :param service_principal_id: The ID of the service principal used to authenticate against Azure
     SQL Data Warehouse. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The key of the service principal used to authenticate against
     Azure SQL Data Warehouse.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'account_key': {'key': 'typeProperties.accountKey', 'type': 'AzureKeyVaultSecretReference'},
        'sas_uri': {'key': 'typeProperties.sasUri', 'type': 'object'},
        'sas_token': {'key': 'typeProperties.sasToken', 'type': 'AzureKeyVaultSecretReference'},
        'service_endpoint': {'key': 'typeProperties.serviceEndpoint', 'type': 'str'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        account_key: Optional["AzureKeyVaultSecretReference"] = None,
        sas_uri: Optional[Any] = None,
        sas_token: Optional["AzureKeyVaultSecretReference"] = None,
        service_endpoint: Optional[str] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        encrypted_credential: Optional[str] = None,
        **kwargs
    ):
        super(AzureBlobStorageLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureBlobStorage'  # type: str
        self.connection_string = connection_string
        self.account_key = account_key
        self.sas_uri = sas_uri
        self.sas_token = sas_token
        self.service_endpoint = service_endpoint
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.encrypted_credential = encrypted_credential


class AzureBlobStorageLocation(DatasetLocation):
    """The location of azure blob dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    :param container: Specify the container of azure blob. Type: string (or Expression with
     resultType string).
    :type container: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
        'container': {'key': 'container', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        container: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobStorageLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'AzureBlobStorageLocation'  # type: str
        self.container = container


class AzureBlobStorageReadSettings(StoreReadSettings):
    """Azure blob read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: Azure blob wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: Azure blob wildcardFileName. Type: string (or Expression with
     resultType string).
    :type wildcard_file_name: any
    :param prefix: The prefix filter for the Azure Blob name. Type: string (or Expression with
     resultType string).
    :type prefix: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'prefix': {'key': 'prefix', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        prefix: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobStorageReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureBlobStorageReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.prefix = prefix
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class AzureBlobStorageWriteSettings(StoreWriteSettings):
    """Azure blob write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    :param block_size_in_mb: Indicates the block size(MB) when writing data to blob. Type: integer
     (or Expression with resultType integer).
    :type block_size_in_mb: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
        'block_size_in_mb': {'key': 'blockSizeInMB', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        block_size_in_mb: Optional[Any] = None,
        **kwargs
    ):
        super(AzureBlobStorageWriteSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, copy_behavior=copy_behavior, **kwargs)
        self.type = 'AzureBlobStorageWriteSettings'  # type: str
        self.block_size_in_mb = block_size_in_mb


class AzureDatabricksDeltaLakeDataset(Dataset):
    """Azure Databricks Delta Lake dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table: The name of delta table. Type: string (or Expression with resultType string).
    :type table: any
    :param database: The database name of delta table. Type: string (or Expression with resultType
     string).
    :type database: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table: Optional[Any] = None,
        database: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDatabricksDeltaLakeDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureDatabricksDeltaLakeDataset'  # type: str
        self.table = table
        self.database = database


class ExportSettings(msrest.serialization.Model):
    """Export command settings.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AzureDatabricksDeltaLakeExportCommand, SnowflakeExportCopyCommand.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The export setting type.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'AzureDatabricksDeltaLakeExportCommand': 'AzureDatabricksDeltaLakeExportCommand', 'SnowflakeExportCopyCommand': 'SnowflakeExportCopyCommand'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(ExportSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'ExportSettings'  # type: str


class AzureDatabricksDeltaLakeExportCommand(ExportSettings):
    """Azure Databricks Delta Lake export command settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The export setting type.Constant filled by server.
    :type type: str
    :param date_format: Specify the date format for the csv in Azure Databricks Delta Lake Copy.
     Type: string (or Expression with resultType string).
    :type date_format: any
    :param timestamp_format: Specify the timestamp format for the csv in Azure Databricks Delta
     Lake Copy. Type: string (or Expression with resultType string).
    :type timestamp_format: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'date_format': {'key': 'dateFormat', 'type': 'object'},
        'timestamp_format': {'key': 'timestampFormat', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        date_format: Optional[Any] = None,
        timestamp_format: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDatabricksDeltaLakeExportCommand, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'AzureDatabricksDeltaLakeExportCommand'  # type: str
        self.date_format = date_format
        self.timestamp_format = timestamp_format


class ImportSettings(msrest.serialization.Model):
    """Import command settings.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AzureDatabricksDeltaLakeImportCommand, SnowflakeImportCopyCommand.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The import setting type.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'AzureDatabricksDeltaLakeImportCommand': 'AzureDatabricksDeltaLakeImportCommand', 'SnowflakeImportCopyCommand': 'SnowflakeImportCopyCommand'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(ImportSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'ImportSettings'  # type: str


class AzureDatabricksDeltaLakeImportCommand(ImportSettings):
    """Azure Databricks Delta Lake import command settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The import setting type.Constant filled by server.
    :type type: str
    :param date_format: Specify the date format for csv in Azure Databricks Delta Lake Copy. Type:
     string (or Expression with resultType string).
    :type date_format: any
    :param timestamp_format: Specify the timestamp format for csv in Azure Databricks Delta Lake
     Copy. Type: string (or Expression with resultType string).
    :type timestamp_format: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'date_format': {'key': 'dateFormat', 'type': 'object'},
        'timestamp_format': {'key': 'timestampFormat', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        date_format: Optional[Any] = None,
        timestamp_format: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDatabricksDeltaLakeImportCommand, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'AzureDatabricksDeltaLakeImportCommand'  # type: str
        self.date_format = date_format
        self.timestamp_format = timestamp_format


class AzureDatabricksDeltaLakeLinkedService(LinkedService):
    """Azure Databricks Delta Lake linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param domain: Required. :code:`<REGION>`.azuredatabricks.net, domain name of your Databricks
     deployment. Type: string (or Expression with resultType string).
    :type domain: any
    :param access_token: Required. Access token for databricks REST API. Refer to
     https://docs.azuredatabricks.net/api/latest/authentication.html. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param cluster_id: The id of an existing interactive cluster that will be used for all runs of
     this job. Type: string (or Expression with resultType string).
    :type cluster_id: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'domain': {'required': True},
        'access_token': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'domain': {'key': 'typeProperties.domain', 'type': 'object'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'cluster_id': {'key': 'typeProperties.clusterId', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        domain: Any,
        access_token: "SecretBase",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        cluster_id: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDatabricksDeltaLakeLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureDatabricksDeltaLake'  # type: str
        self.domain = domain
        self.access_token = access_token
        self.cluster_id = cluster_id
        self.encrypted_credential = encrypted_credential


class AzureDatabricksDeltaLakeSink(CopySink):
    """A copy activity Azure Databricks Delta Lake sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param import_settings: Azure Databricks Delta Lake import settings.
    :type import_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.AzureDatabricksDeltaLakeImportCommand
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'import_settings': {'key': 'importSettings', 'type': 'AzureDatabricksDeltaLakeImportCommand'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        import_settings: Optional["AzureDatabricksDeltaLakeImportCommand"] = None,
        **kwargs
    ):
        super(AzureDatabricksDeltaLakeSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDatabricksDeltaLakeSink'  # type: str
        self.pre_copy_script = pre_copy_script
        self.import_settings = import_settings


class AzureDatabricksDeltaLakeSource(CopySource):
    """A copy activity Azure Databricks Delta Lake source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Azure Databricks Delta Lake Sql query. Type: string (or Expression with
     resultType string).
    :type query: any
    :param export_settings: Azure Databricks Delta Lake export settings.
    :type export_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.AzureDatabricksDeltaLakeExportCommand
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'export_settings': {'key': 'exportSettings', 'type': 'AzureDatabricksDeltaLakeExportCommand'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        export_settings: Optional["AzureDatabricksDeltaLakeExportCommand"] = None,
        **kwargs
    ):
        super(AzureDatabricksDeltaLakeSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDatabricksDeltaLakeSource'  # type: str
        self.query = query
        self.export_settings = export_settings


class AzureDatabricksLinkedService(LinkedService):
    """Azure Databricks linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param domain: Required. :code:`<REGION>`.azuredatabricks.net, domain name of your Databricks
     deployment. Type: string (or Expression with resultType string).
    :type domain: any
    :param access_token: Access token for databricks REST API. Refer to
     https://docs.azuredatabricks.net/api/latest/authentication.html. Type: string (or Expression
     with resultType string).
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param authentication: Required to specify MSI, if using Workspace resource id for databricks
     REST API. Type: string (or Expression with resultType string).
    :type authentication: any
    :param workspace_resource_id: Workspace resource id for databricks REST API. Type: string (or
     Expression with resultType string).
    :type workspace_resource_id: any
    :param existing_cluster_id: The id of an existing interactive cluster that will be used for all
     runs of this activity. Type: string (or Expression with resultType string).
    :type existing_cluster_id: any
    :param instance_pool_id: The id of an existing instance pool that will be used for all runs of
     this activity. Type: string (or Expression with resultType string).
    :type instance_pool_id: any
    :param new_cluster_version: If not using an existing interactive cluster, this specifies the
     Spark version of a new job cluster or instance pool nodes created for each run of this
     activity. Required if instancePoolId is specified. Type: string (or Expression with resultType
     string).
    :type new_cluster_version: any
    :param new_cluster_num_of_worker: If not using an existing interactive cluster, this specifies
     the number of worker nodes to use for the new job cluster or instance pool. For new job
     clusters, this a string-formatted Int32, like '1' means numOfWorker is 1 or '1:10' means
     auto-scale from 1 (min) to 10 (max). For instance pools, this is a string-formatted Int32, and
     can only specify a fixed number of worker nodes, such as '2'. Required if newClusterVersion is
     specified. Type: string (or Expression with resultType string).
    :type new_cluster_num_of_worker: any
    :param new_cluster_node_type: The node type of the new job cluster. This property is required
     if newClusterVersion is specified and instancePoolId is not specified. If instancePoolId is
     specified, this property is ignored. Type: string (or Expression with resultType string).
    :type new_cluster_node_type: any
    :param new_cluster_spark_conf: A set of optional, user-specified Spark configuration key-value
     pairs.
    :type new_cluster_spark_conf: dict[str, any]
    :param new_cluster_spark_env_vars: A set of optional, user-specified Spark environment
     variables key-value pairs.
    :type new_cluster_spark_env_vars: dict[str, any]
    :param new_cluster_custom_tags: Additional tags for cluster resources. This property is ignored
     in instance pool configurations.
    :type new_cluster_custom_tags: dict[str, any]
    :param new_cluster_log_destination: Specify a location to deliver Spark driver, worker, and
     event logs. Type: string (or Expression with resultType string).
    :type new_cluster_log_destination: any
    :param new_cluster_driver_node_type: The driver node type for the new job cluster. This
     property is ignored in instance pool configurations. Type: string (or Expression with
     resultType string).
    :type new_cluster_driver_node_type: any
    :param new_cluster_init_scripts: User-defined initialization scripts for the new cluster. Type:
     array of strings (or Expression with resultType array of strings).
    :type new_cluster_init_scripts: any
    :param new_cluster_enable_elastic_disk: Enable the elastic disk on the new cluster. This
     property is now ignored, and takes the default elastic disk behavior in Databricks (elastic
     disks are always enabled). Type: boolean (or Expression with resultType boolean).
    :type new_cluster_enable_elastic_disk: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param policy_id: The policy id for limiting the ability to configure clusters based on a user
     defined set of rules. Type: string (or Expression with resultType string).
    :type policy_id: any
    """

    _validation = {
        'type': {'required': True},
        'domain': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'domain': {'key': 'typeProperties.domain', 'type': 'object'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'authentication': {'key': 'typeProperties.authentication', 'type': 'object'},
        'workspace_resource_id': {'key': 'typeProperties.workspaceResourceId', 'type': 'object'},
        'existing_cluster_id': {'key': 'typeProperties.existingClusterId', 'type': 'object'},
        'instance_pool_id': {'key': 'typeProperties.instancePoolId', 'type': 'object'},
        'new_cluster_version': {'key': 'typeProperties.newClusterVersion', 'type': 'object'},
        'new_cluster_num_of_worker': {'key': 'typeProperties.newClusterNumOfWorker', 'type': 'object'},
        'new_cluster_node_type': {'key': 'typeProperties.newClusterNodeType', 'type': 'object'},
        'new_cluster_spark_conf': {'key': 'typeProperties.newClusterSparkConf', 'type': '{object}'},
        'new_cluster_spark_env_vars': {'key': 'typeProperties.newClusterSparkEnvVars', 'type': '{object}'},
        'new_cluster_custom_tags': {'key': 'typeProperties.newClusterCustomTags', 'type': '{object}'},
        'new_cluster_log_destination': {'key': 'typeProperties.newClusterLogDestination', 'type': 'object'},
        'new_cluster_driver_node_type': {'key': 'typeProperties.newClusterDriverNodeType', 'type': 'object'},
        'new_cluster_init_scripts': {'key': 'typeProperties.newClusterInitScripts', 'type': 'object'},
        'new_cluster_enable_elastic_disk': {'key': 'typeProperties.newClusterEnableElasticDisk', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'policy_id': {'key': 'typeProperties.policyId', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        domain: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        access_token: Optional["SecretBase"] = None,
        authentication: Optional[Any] = None,
        workspace_resource_id: Optional[Any] = None,
        existing_cluster_id: Optional[Any] = None,
        instance_pool_id: Optional[Any] = None,
        new_cluster_version: Optional[Any] = None,
        new_cluster_num_of_worker: Optional[Any] = None,
        new_cluster_node_type: Optional[Any] = None,
        new_cluster_spark_conf: Optional[Dict[str, Any]] = None,
        new_cluster_spark_env_vars: Optional[Dict[str, Any]] = None,
        new_cluster_custom_tags: Optional[Dict[str, Any]] = None,
        new_cluster_log_destination: Optional[Any] = None,
        new_cluster_driver_node_type: Optional[Any] = None,
        new_cluster_init_scripts: Optional[Any] = None,
        new_cluster_enable_elastic_disk: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        policy_id: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDatabricksLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureDatabricks'  # type: str
        self.domain = domain
        self.access_token = access_token
        self.authentication = authentication
        self.workspace_resource_id = workspace_resource_id
        self.existing_cluster_id = existing_cluster_id
        self.instance_pool_id = instance_pool_id
        self.new_cluster_version = new_cluster_version
        self.new_cluster_num_of_worker = new_cluster_num_of_worker
        self.new_cluster_node_type = new_cluster_node_type
        self.new_cluster_spark_conf = new_cluster_spark_conf
        self.new_cluster_spark_env_vars = new_cluster_spark_env_vars
        self.new_cluster_custom_tags = new_cluster_custom_tags
        self.new_cluster_log_destination = new_cluster_log_destination
        self.new_cluster_driver_node_type = new_cluster_driver_node_type
        self.new_cluster_init_scripts = new_cluster_init_scripts
        self.new_cluster_enable_elastic_disk = new_cluster_enable_elastic_disk
        self.encrypted_credential = encrypted_credential
        self.policy_id = policy_id


class ExecutionActivity(Activity):
    """Base class for all execution activities.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AzureDataExplorerCommandActivity, AzureFunctionActivity, AzureMLBatchExecutionActivity, AzureMLExecutePipelineActivity, AzureMLUpdateResourceActivity, CopyActivity, CustomActivity, DataLakeAnalyticsUSQLActivity, DatabricksNotebookActivity, DatabricksSparkJarActivity, DatabricksSparkPythonActivity, DeleteActivity, ExecuteDataFlowActivity, ExecuteSSISPackageActivity, GetMetadataActivity, HDInsightHiveActivity, HDInsightMapReduceActivity, HDInsightPigActivity, HDInsightSparkActivity, HDInsightStreamingActivity, LookupActivity, SynapseSparkJobDefinitionActivity, SqlServerStoredProcedureActivity, SynapseNotebookActivity, WebActivity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
    }

    _subtype_map = {
        'type': {'AzureDataExplorerCommand': 'AzureDataExplorerCommandActivity', 'AzureFunctionActivity': 'AzureFunctionActivity', 'AzureMLBatchExecution': 'AzureMLBatchExecutionActivity', 'AzureMLExecutePipeline': 'AzureMLExecutePipelineActivity', 'AzureMLUpdateResource': 'AzureMLUpdateResourceActivity', 'Copy': 'CopyActivity', 'Custom': 'CustomActivity', 'DataLakeAnalyticsU-SQL': 'DataLakeAnalyticsUSQLActivity', 'DatabricksNotebook': 'DatabricksNotebookActivity', 'DatabricksSparkJar': 'DatabricksSparkJarActivity', 'DatabricksSparkPython': 'DatabricksSparkPythonActivity', 'Delete': 'DeleteActivity', 'ExecuteDataFlow': 'ExecuteDataFlowActivity', 'ExecuteSSISPackage': 'ExecuteSSISPackageActivity', 'GetMetadata': 'GetMetadataActivity', 'HDInsightHive': 'HDInsightHiveActivity', 'HDInsightMapReduce': 'HDInsightMapReduceActivity', 'HDInsightPig': 'HDInsightPigActivity', 'HDInsightSpark': 'HDInsightSparkActivity', 'HDInsightStreaming': 'HDInsightStreamingActivity', 'Lookup': 'LookupActivity', 'SparkJob': 'SynapseSparkJobDefinitionActivity', 'SqlServerStoredProcedure': 'SqlServerStoredProcedureActivity', 'SynapseNotebook': 'SynapseNotebookActivity', 'WebActivity': 'WebActivity'}
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        **kwargs
    ):
        super(ExecutionActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Execution'  # type: str
        self.linked_service_name = linked_service_name
        self.policy = policy


class AzureDataExplorerCommandActivity(ExecutionActivity):
    """Azure Data Explorer command activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param command: Required. A control command, according to the Azure Data Explorer command
     syntax. Type: string (or Expression with resultType string).
    :type command: any
    :param command_timeout: Control command timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9]))..).
    :type command_timeout: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'command': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'command': {'key': 'typeProperties.command', 'type': 'object'},
        'command_timeout': {'key': 'typeProperties.commandTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        command: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        command_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataExplorerCommandActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'AzureDataExplorerCommand'  # type: str
        self.command = command
        self.command_timeout = command_timeout


class AzureDataExplorerLinkedService(LinkedService):
    """Azure Data Explorer (Kusto) linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param endpoint: Required. The endpoint of Azure Data Explorer (the engine's endpoint). URL
     will be in the format https://:code:`<clusterName>`.:code:`<regionName>`.kusto.windows.net.
     Type: string (or Expression with resultType string).
    :type endpoint: any
    :param service_principal_id: Required. The ID of the service principal used to authenticate
     against Azure Data Explorer. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: Required. The key of the service principal used to authenticate
     against Kusto.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param database: Required. Database name for connection. Type: string (or Expression with
     resultType string).
    :type database: any
    :param tenant: Required. The name or ID of the tenant to which the service principal belongs.
     Type: string (or Expression with resultType string).
    :type tenant: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'service_principal_id': {'required': True},
        'service_principal_key': {'required': True},
        'database': {'required': True},
        'tenant': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        service_principal_id: Any,
        service_principal_key: "SecretBase",
        database: Any,
        tenant: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(AzureDataExplorerLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureDataExplorer'  # type: str
        self.endpoint = endpoint
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.database = database
        self.tenant = tenant


class AzureDataExplorerSink(CopySink):
    """A copy activity Azure Data Explorer sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param ingestion_mapping_name: A name of a pre-created csv mapping that was defined on the
     target Kusto table. Type: string.
    :type ingestion_mapping_name: any
    :param ingestion_mapping_as_json: An explicit column mapping description provided in a json
     format. Type: string.
    :type ingestion_mapping_as_json: any
    :param flush_immediately: If set to true, any aggregation will be skipped. Default is false.
     Type: boolean.
    :type flush_immediately: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'ingestion_mapping_name': {'key': 'ingestionMappingName', 'type': 'object'},
        'ingestion_mapping_as_json': {'key': 'ingestionMappingAsJson', 'type': 'object'},
        'flush_immediately': {'key': 'flushImmediately', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        ingestion_mapping_name: Optional[Any] = None,
        ingestion_mapping_as_json: Optional[Any] = None,
        flush_immediately: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataExplorerSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDataExplorerSink'  # type: str
        self.ingestion_mapping_name = ingestion_mapping_name
        self.ingestion_mapping_as_json = ingestion_mapping_as_json
        self.flush_immediately = flush_immediately


class AzureDataExplorerSource(CopySource):
    """A copy activity Azure Data Explorer (Kusto) source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Required. Database query. Should be a Kusto Query Language (KQL) query. Type:
     string (or Expression with resultType string).
    :type query: any
    :param no_truncation: The name of the Boolean option that controls whether truncation is
     applied to result-sets that go beyond a certain row-count limit.
    :type no_truncation: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9]))..
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
        'query': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'no_truncation': {'key': 'noTruncation', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        query: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        no_truncation: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataExplorerSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDataExplorerSource'  # type: str
        self.query = query
        self.no_truncation = no_truncation
        self.query_timeout = query_timeout
        self.additional_columns = additional_columns


class AzureDataExplorerTableDataset(Dataset):
    """The Azure Data Explorer (Kusto) dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table: The table name of the Azure Data Explorer database. Type: string (or Expression
     with resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataExplorerTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureDataExplorerTable'  # type: str
        self.table = table


class AzureDataLakeAnalyticsLinkedService(LinkedService):
    """Azure Data Lake Analytics linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param account_name: Required. The Azure Data Lake Analytics account name. Type: string (or
     Expression with resultType string).
    :type account_name: any
    :param service_principal_id: The ID of the application used to authenticate against the Azure
     Data Lake Analytics account. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The Key of the application used to authenticate against the Azure
     Data Lake Analytics account.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: Required. The name or ID of the tenant to which the service principal belongs.
     Type: string (or Expression with resultType string).
    :type tenant: any
    :param subscription_id: Data Lake Analytics account subscription ID (if different from Data
     Factory account). Type: string (or Expression with resultType string).
    :type subscription_id: any
    :param resource_group_name: Data Lake Analytics account resource group name (if different from
     Data Factory account). Type: string (or Expression with resultType string).
    :type resource_group_name: any
    :param data_lake_analytics_uri: Azure Data Lake Analytics URI Type: string (or Expression with
     resultType string).
    :type data_lake_analytics_uri: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'account_name': {'required': True},
        'tenant': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'account_name': {'key': 'typeProperties.accountName', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'subscription_id': {'key': 'typeProperties.subscriptionId', 'type': 'object'},
        'resource_group_name': {'key': 'typeProperties.resourceGroupName', 'type': 'object'},
        'data_lake_analytics_uri': {'key': 'typeProperties.dataLakeAnalyticsUri', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        account_name: Any,
        tenant: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        subscription_id: Optional[Any] = None,
        resource_group_name: Optional[Any] = None,
        data_lake_analytics_uri: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeAnalyticsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureDataLakeAnalytics'  # type: str
        self.account_name = account_name
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.subscription_id = subscription_id
        self.resource_group_name = resource_group_name
        self.data_lake_analytics_uri = data_lake_analytics_uri
        self.encrypted_credential = encrypted_credential


class AzureDataLakeStoreDataset(Dataset):
    """Azure Data Lake Store dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param folder_path: Path to the folder in the Azure Data Lake Store. Type: string (or
     Expression with resultType string).
    :type folder_path: any
    :param file_name: The name of the file in the Azure Data Lake Store. Type: string (or
     Expression with resultType string).
    :type file_name: any
    :param format: The format of the Data Lake Store.
    :type format: ~azure.synapse.artifacts.v2020_12_01.models.DatasetStorageFormat
    :param compression: The data compression method used for the item(s) in the Azure Data Lake
     Store.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
        'file_name': {'key': 'typeProperties.fileName', 'type': 'object'},
        'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        format: Optional["DatasetStorageFormat"] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureDataLakeStoreFile'  # type: str
        self.folder_path = folder_path
        self.file_name = file_name
        self.format = format
        self.compression = compression


class AzureDataLakeStoreLinkedService(LinkedService):
    """Azure Data Lake Store linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param data_lake_store_uri: Required. Data Lake Store service URI. Type: string (or Expression
     with resultType string).
    :type data_lake_store_uri: any
    :param service_principal_id: The ID of the application used to authenticate against the Azure
     Data Lake Store account. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The Key of the application used to authenticate against the Azure
     Data Lake Store account.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param account_name: Data Lake Store account name. Type: string (or Expression with resultType
     string).
    :type account_name: any
    :param subscription_id: Data Lake Store account subscription ID (if different from Data Factory
     account). Type: string (or Expression with resultType string).
    :type subscription_id: any
    :param resource_group_name: Data Lake Store account resource group name (if different from Data
     Factory account). Type: string (or Expression with resultType string).
    :type resource_group_name: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'data_lake_store_uri': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'data_lake_store_uri': {'key': 'typeProperties.dataLakeStoreUri', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'account_name': {'key': 'typeProperties.accountName', 'type': 'object'},
        'subscription_id': {'key': 'typeProperties.subscriptionId', 'type': 'object'},
        'resource_group_name': {'key': 'typeProperties.resourceGroupName', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        data_lake_store_uri: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        account_name: Optional[Any] = None,
        subscription_id: Optional[Any] = None,
        resource_group_name: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureDataLakeStore'  # type: str
        self.data_lake_store_uri = data_lake_store_uri
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.account_name = account_name
        self.subscription_id = subscription_id
        self.resource_group_name = resource_group_name
        self.encrypted_credential = encrypted_credential


class AzureDataLakeStoreLocation(DatasetLocation):
    """The location of azure data lake store dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'AzureDataLakeStoreLocation'  # type: str


class AzureDataLakeStoreReadSettings(StoreReadSettings):
    """Azure data lake store read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: ADLS wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: ADLS wildcardFileName. Type: string (or Expression with resultType
     string).
    :type wildcard_file_name: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param list_after: Lists files after the value (exclusive) based on file/folder names’
     lexicographical order. Applies under the folderPath in data set, and filter files/sub-folders
     under the folderPath. Type: string (or Expression with resultType string).
    :type list_after: any
    :param list_before: Lists files before the value (inclusive) based on file/folder names’
     lexicographical order. Applies under the folderPath in data set, and filter files/sub-folders
     under the folderPath. Type: string (or Expression with resultType string).
    :type list_before: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'list_after': {'key': 'listAfter', 'type': 'object'},
        'list_before': {'key': 'listBefore', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        list_after: Optional[Any] = None,
        list_before: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDataLakeStoreReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.file_list_path = file_list_path
        self.list_after = list_after
        self.list_before = list_before
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class AzureDataLakeStoreSink(CopySink):
    """A copy activity Azure Data Lake Store sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    :param enable_adls_single_file_parallel: Single File Parallel.
    :type enable_adls_single_file_parallel: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
        'enable_adls_single_file_parallel': {'key': 'enableAdlsSingleFileParallel', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        enable_adls_single_file_parallel: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDataLakeStoreSink'  # type: str
        self.copy_behavior = copy_behavior
        self.enable_adls_single_file_parallel = enable_adls_single_file_parallel


class AzureDataLakeStoreSource(CopySource):
    """A copy activity Azure Data Lake source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureDataLakeStoreSource'  # type: str
        self.recursive = recursive


class AzureDataLakeStoreWriteSettings(StoreWriteSettings):
    """Azure data lake store write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    :param expiry_date_time: Specifies the expiry time of the written files. The time is applied to
     the UTC time zone in the format of "2018-12-01T05:00:00Z". Default value is NULL. Type: integer
     (or Expression with resultType integer).
    :type expiry_date_time: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
        'expiry_date_time': {'key': 'expiryDateTime', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        expiry_date_time: Optional[Any] = None,
        **kwargs
    ):
        super(AzureDataLakeStoreWriteSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, copy_behavior=copy_behavior, **kwargs)
        self.type = 'AzureDataLakeStoreWriteSettings'  # type: str
        self.expiry_date_time = expiry_date_time


class Resource(msrest.serialization.Model):
    """Common fields that are returned in the response for all Azure Resource Manager resources.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(Resource, self).__init__(**kwargs)
        self.id = None
        self.name = None
        self.type = None


class AzureEntityResource(Resource):
    """The resource model definition for an Azure Resource Manager resource with an etag.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(AzureEntityResource, self).__init__(**kwargs)
        self.etag = None


class AzureFileStorageLinkedService(LinkedService):
    """Azure File Storage linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. Host name of the server. Type: string (or Expression with resultType
     string).
    :type host: any
    :param user_id: User ID to logon the server. Type: string (or Expression with resultType
     string).
    :type user_id: any
    :param password: Password to logon the server.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param connection_string: The connection string. It is mutually exclusive with sasUri property.
     Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param account_key: The Azure key vault secret reference of accountKey in connection string.
    :type account_key: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param sas_uri: SAS URI of the Azure File resource. It is mutually exclusive with
     connectionString property. Type: string, SecureString or AzureKeyVaultSecretReference.
    :type sas_uri: any
    :param sas_token: The Azure key vault secret reference of sasToken in sas uri.
    :type sas_token: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param file_share: The azure file share name. It is required when auth with
     accountKey/sasToken. Type: string (or Expression with resultType string).
    :type file_share: any
    :param snapshot: The azure file share snapshot version. Type: string (or Expression with
     resultType string).
    :type snapshot: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'user_id': {'key': 'typeProperties.userId', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'account_key': {'key': 'typeProperties.accountKey', 'type': 'AzureKeyVaultSecretReference'},
        'sas_uri': {'key': 'typeProperties.sasUri', 'type': 'object'},
        'sas_token': {'key': 'typeProperties.sasToken', 'type': 'AzureKeyVaultSecretReference'},
        'file_share': {'key': 'typeProperties.fileShare', 'type': 'object'},
        'snapshot': {'key': 'typeProperties.snapshot', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        user_id: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        connection_string: Optional[Any] = None,
        account_key: Optional["AzureKeyVaultSecretReference"] = None,
        sas_uri: Optional[Any] = None,
        sas_token: Optional["AzureKeyVaultSecretReference"] = None,
        file_share: Optional[Any] = None,
        snapshot: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureFileStorageLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureFileStorage'  # type: str
        self.host = host
        self.user_id = user_id
        self.password = password
        self.connection_string = connection_string
        self.account_key = account_key
        self.sas_uri = sas_uri
        self.sas_token = sas_token
        self.file_share = file_share
        self.snapshot = snapshot
        self.encrypted_credential = encrypted_credential


class AzureFileStorageLocation(DatasetLocation):
    """The location of file server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(AzureFileStorageLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'AzureFileStorageLocation'  # type: str


class AzureFileStorageReadSettings(StoreReadSettings):
    """Azure File Storage read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: Azure File Storage wildcardFolderPath. Type: string (or Expression
     with resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: Azure File Storage wildcardFileName. Type: string (or Expression
     with resultType string).
    :type wildcard_file_name: any
    :param prefix: The prefix filter for the Azure File name starting from root path. Type: string
     (or Expression with resultType string).
    :type prefix: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'prefix': {'key': 'prefix', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        prefix: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(AzureFileStorageReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureFileStorageReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.prefix = prefix
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class AzureFileStorageWriteSettings(StoreWriteSettings):
    """Azure File Storage write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(AzureFileStorageWriteSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, copy_behavior=copy_behavior, **kwargs)
        self.type = 'AzureFileStorageWriteSettings'  # type: str


class AzureFunctionActivity(ExecutionActivity):
    """Azure Function activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param method: Required. Rest API method for target endpoint. Possible values include: "GET",
     "POST", "PUT", "DELETE", "OPTIONS", "HEAD", "TRACE".
    :type method: str or ~azure.synapse.artifacts.v2020_12_01.models.AzureFunctionActivityMethod
    :param function_name: Required. Name of the Function that the Azure Function Activity will
     call. Type: string (or Expression with resultType string).
    :type function_name: any
    :param headers: Represents the headers that will be sent to the request. For example, to set
     the language and type on a request: "headers" : { "Accept-Language": "en-us", "Content-Type":
     "application/json" }. Type: string (or Expression with resultType string).
    :type headers: any
    :param body: Represents the payload that will be sent to the endpoint. Required for POST/PUT
     method, not allowed for GET method Type: string (or Expression with resultType string).
    :type body: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'method': {'required': True},
        'function_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'method': {'key': 'typeProperties.method', 'type': 'str'},
        'function_name': {'key': 'typeProperties.functionName', 'type': 'object'},
        'headers': {'key': 'typeProperties.headers', 'type': 'object'},
        'body': {'key': 'typeProperties.body', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        method: Union[str, "AzureFunctionActivityMethod"],
        function_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        headers: Optional[Any] = None,
        body: Optional[Any] = None,
        **kwargs
    ):
        super(AzureFunctionActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'AzureFunctionActivity'  # type: str
        self.method = method
        self.function_name = function_name
        self.headers = headers
        self.body = body


class AzureFunctionLinkedService(LinkedService):
    """Azure Function linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param function_app_url: Required. The endpoint of the Azure Function App. URL will be in the
     format https://:code:`<accountName>`.azurewebsites.net.
    :type function_app_url: any
    :param function_key: Function or Host key for Azure Function App.
    :type function_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'function_app_url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'function_app_url': {'key': 'typeProperties.functionAppUrl', 'type': 'object'},
        'function_key': {'key': 'typeProperties.functionKey', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        function_app_url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        function_key: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureFunctionLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureFunction'  # type: str
        self.function_app_url = function_app_url
        self.function_key = function_key
        self.encrypted_credential = encrypted_credential


class AzureKeyVaultLinkedService(LinkedService):
    """Azure Key Vault linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param base_url: Required. The base URL of the Azure Key Vault. e.g.
     https://myakv.vault.azure.net Type: string (or Expression with resultType string).
    :type base_url: any
    """

    _validation = {
        'type': {'required': True},
        'base_url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'base_url': {'key': 'typeProperties.baseUrl', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        base_url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(AzureKeyVaultLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureKeyVault'  # type: str
        self.base_url = base_url


class SecretBase(msrest.serialization.Model):
    """The base definition of a secret type.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: AzureKeyVaultSecretReference, SecureString.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Type of the secret.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'AzureKeyVaultSecret': 'AzureKeyVaultSecretReference', 'SecureString': 'SecureString'}
    }

    def __init__(
        self,
        **kwargs
    ):
        super(SecretBase, self).__init__(**kwargs)
        self.type = None  # type: Optional[str]


class AzureKeyVaultSecretReference(SecretBase):
    """Azure Key Vault secret reference.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Type of the secret.Constant filled by server.
    :type type: str
    :param store: Required. The Azure Key Vault linked service reference.
    :type store: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param secret_name: Required. The name of the secret in Azure Key Vault. Type: string (or
     Expression with resultType string).
    :type secret_name: any
    :param secret_version: The version of the secret in Azure Key Vault. The default value is the
     latest version of the secret. Type: string (or Expression with resultType string).
    :type secret_version: any
    """

    _validation = {
        'type': {'required': True},
        'store': {'required': True},
        'secret_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'store': {'key': 'store', 'type': 'LinkedServiceReference'},
        'secret_name': {'key': 'secretName', 'type': 'object'},
        'secret_version': {'key': 'secretVersion', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        store: "LinkedServiceReference",
        secret_name: Any,
        secret_version: Optional[Any] = None,
        **kwargs
    ):
        super(AzureKeyVaultSecretReference, self).__init__(**kwargs)
        self.type = 'AzureKeyVaultSecret'  # type: str
        self.store = store
        self.secret_name = secret_name
        self.secret_version = secret_version


class AzureMariaDBLinkedService(LinkedService):
    """Azure Database for MariaDB linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param pwd: The Azure key vault secret reference of password in connection string.
    :type pwd: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'pwd': {'key': 'typeProperties.pwd', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        pwd: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMariaDBLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureMariaDB'  # type: str
        self.connection_string = connection_string
        self.pwd = pwd
        self.encrypted_credential = encrypted_credential


class AzureMariaDBSource(TabularSource):
    """A copy activity Azure MariaDB source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMariaDBSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AzureMariaDBSource'  # type: str
        self.query = query


class AzureMariaDBTableDataset(Dataset):
    """Azure Database for MariaDB dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMariaDBTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureMariaDBTable'  # type: str
        self.table_name = table_name


class AzureMLBatchExecutionActivity(ExecutionActivity):
    """Azure ML Batch Execution activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param global_parameters: Key,Value pairs to be passed to the Azure ML Batch Execution Service
     endpoint. Keys must match the names of web service parameters defined in the published Azure ML
     web service. Values will be passed in the GlobalParameters property of the Azure ML batch
     execution request.
    :type global_parameters: dict[str, any]
    :param web_service_outputs: Key,Value pairs, mapping the names of Azure ML endpoint's Web
     Service Outputs to AzureMLWebServiceFile objects specifying the output Blob locations. This
     information will be passed in the WebServiceOutputs property of the Azure ML batch execution
     request.
    :type web_service_outputs: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.AzureMLWebServiceFile]
    :param web_service_inputs: Key,Value pairs, mapping the names of Azure ML endpoint's Web
     Service Inputs to AzureMLWebServiceFile objects specifying the input Blob locations.. This
     information will be passed in the WebServiceInputs property of the Azure ML batch execution
     request.
    :type web_service_inputs: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.AzureMLWebServiceFile]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'global_parameters': {'key': 'typeProperties.globalParameters', 'type': '{object}'},
        'web_service_outputs': {'key': 'typeProperties.webServiceOutputs', 'type': '{AzureMLWebServiceFile}'},
        'web_service_inputs': {'key': 'typeProperties.webServiceInputs', 'type': '{AzureMLWebServiceFile}'},
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        global_parameters: Optional[Dict[str, Any]] = None,
        web_service_outputs: Optional[Dict[str, "AzureMLWebServiceFile"]] = None,
        web_service_inputs: Optional[Dict[str, "AzureMLWebServiceFile"]] = None,
        **kwargs
    ):
        super(AzureMLBatchExecutionActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'AzureMLBatchExecution'  # type: str
        self.global_parameters = global_parameters
        self.web_service_outputs = web_service_outputs
        self.web_service_inputs = web_service_inputs


class AzureMLExecutePipelineActivity(ExecutionActivity):
    """Azure ML Execute Pipeline activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param ml_pipeline_id: Required. ID of the published Azure ML pipeline. Type: string (or
     Expression with resultType string).
    :type ml_pipeline_id: any
    :param experiment_name: Run history experiment name of the pipeline run. This information will
     be passed in the ExperimentName property of the published pipeline execution request. Type:
     string (or Expression with resultType string).
    :type experiment_name: any
    :param ml_pipeline_parameters: Key,Value pairs to be passed to the published Azure ML pipeline
     endpoint. Keys must match the names of pipeline parameters defined in the published pipeline.
     Values will be passed in the ParameterAssignments property of the published pipeline execution
     request. Type: object with key value pairs (or Expression with resultType object).
    :type ml_pipeline_parameters: any
    :param ml_parent_run_id: The parent Azure ML Service pipeline run id. This information will be
     passed in the ParentRunId property of the published pipeline execution request. Type: string
     (or Expression with resultType string).
    :type ml_parent_run_id: any
    :param continue_on_step_failure: Whether to continue execution of other steps in the
     PipelineRun if a step fails. This information will be passed in the continueOnStepFailure
     property of the published pipeline execution request. Type: boolean (or Expression with
     resultType boolean).
    :type continue_on_step_failure: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'ml_pipeline_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'ml_pipeline_id': {'key': 'typeProperties.mlPipelineId', 'type': 'object'},
        'experiment_name': {'key': 'typeProperties.experimentName', 'type': 'object'},
        'ml_pipeline_parameters': {'key': 'typeProperties.mlPipelineParameters', 'type': 'object'},
        'ml_parent_run_id': {'key': 'typeProperties.mlParentRunId', 'type': 'object'},
        'continue_on_step_failure': {'key': 'typeProperties.continueOnStepFailure', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        ml_pipeline_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        experiment_name: Optional[Any] = None,
        ml_pipeline_parameters: Optional[Any] = None,
        ml_parent_run_id: Optional[Any] = None,
        continue_on_step_failure: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMLExecutePipelineActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'AzureMLExecutePipeline'  # type: str
        self.ml_pipeline_id = ml_pipeline_id
        self.experiment_name = experiment_name
        self.ml_pipeline_parameters = ml_pipeline_parameters
        self.ml_parent_run_id = ml_parent_run_id
        self.continue_on_step_failure = continue_on_step_failure


class AzureMLLinkedService(LinkedService):
    """Azure ML Studio Web Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param ml_endpoint: Required. The Batch Execution REST URL for an Azure ML Studio Web Service
     endpoint. Type: string (or Expression with resultType string).
    :type ml_endpoint: any
    :param api_key: Required. The API key for accessing the Azure ML model endpoint.
    :type api_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param update_resource_endpoint: The Update Resource REST URL for an Azure ML Studio Web
     Service endpoint. Type: string (or Expression with resultType string).
    :type update_resource_endpoint: any
    :param service_principal_id: The ID of the service principal used to authenticate against the
     ARM-based updateResourceEndpoint of an Azure ML Studio web service. Type: string (or Expression
     with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The key of the service principal used to authenticate against the
     ARM-based updateResourceEndpoint of an Azure ML Studio web service.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'ml_endpoint': {'required': True},
        'api_key': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'ml_endpoint': {'key': 'typeProperties.mlEndpoint', 'type': 'object'},
        'api_key': {'key': 'typeProperties.apiKey', 'type': 'SecretBase'},
        'update_resource_endpoint': {'key': 'typeProperties.updateResourceEndpoint', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        ml_endpoint: Any,
        api_key: "SecretBase",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        update_resource_endpoint: Optional[Any] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMLLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureML'  # type: str
        self.ml_endpoint = ml_endpoint
        self.api_key = api_key
        self.update_resource_endpoint = update_resource_endpoint
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.encrypted_credential = encrypted_credential


class AzureMLServiceLinkedService(LinkedService):
    """Azure ML Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param subscription_id: Required. Azure ML Service workspace subscription ID. Type: string (or
     Expression with resultType string).
    :type subscription_id: any
    :param resource_group_name: Required. Azure ML Service workspace resource group name. Type:
     string (or Expression with resultType string).
    :type resource_group_name: any
    :param ml_workspace_name: Required. Azure ML Service workspace name. Type: string (or
     Expression with resultType string).
    :type ml_workspace_name: any
    :param service_principal_id: The ID of the service principal used to authenticate against the
     endpoint of a published Azure ML Service pipeline. Type: string (or Expression with resultType
     string).
    :type service_principal_id: any
    :param service_principal_key: The key of the service principal used to authenticate against the
     endpoint of a published Azure ML Service pipeline.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'subscription_id': {'required': True},
        'resource_group_name': {'required': True},
        'ml_workspace_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'subscription_id': {'key': 'typeProperties.subscriptionId', 'type': 'object'},
        'resource_group_name': {'key': 'typeProperties.resourceGroupName', 'type': 'object'},
        'ml_workspace_name': {'key': 'typeProperties.mlWorkspaceName', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        subscription_id: Any,
        resource_group_name: Any,
        ml_workspace_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMLServiceLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureMLService'  # type: str
        self.subscription_id = subscription_id
        self.resource_group_name = resource_group_name
        self.ml_workspace_name = ml_workspace_name
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.encrypted_credential = encrypted_credential


class AzureMLUpdateResourceActivity(ExecutionActivity):
    """Azure ML Update Resource management activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param trained_model_name: Required. Name of the Trained Model module in the Web Service
     experiment to be updated. Type: string (or Expression with resultType string).
    :type trained_model_name: any
    :param trained_model_linked_service_name: Required. Name of Azure Storage linked service
     holding the .ilearner file that will be uploaded by the update operation.
    :type trained_model_linked_service_name:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param trained_model_file_path: Required. The relative file path in trainedModelLinkedService
     to represent the .ilearner file that will be uploaded by the update operation.  Type: string
     (or Expression with resultType string).
    :type trained_model_file_path: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'trained_model_name': {'required': True},
        'trained_model_linked_service_name': {'required': True},
        'trained_model_file_path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'trained_model_name': {'key': 'typeProperties.trainedModelName', 'type': 'object'},
        'trained_model_linked_service_name': {'key': 'typeProperties.trainedModelLinkedServiceName', 'type': 'LinkedServiceReference'},
        'trained_model_file_path': {'key': 'typeProperties.trainedModelFilePath', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        trained_model_name: Any,
        trained_model_linked_service_name: "LinkedServiceReference",
        trained_model_file_path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        **kwargs
    ):
        super(AzureMLUpdateResourceActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'AzureMLUpdateResource'  # type: str
        self.trained_model_name = trained_model_name
        self.trained_model_linked_service_name = trained_model_linked_service_name
        self.trained_model_file_path = trained_model_file_path


class AzureMLWebServiceFile(msrest.serialization.Model):
    """Azure ML WebService Input/Output file.

    All required parameters must be populated in order to send to Azure.

    :param file_path: Required. The relative file path, including container name, in the Azure Blob
     Storage specified by the LinkedService. Type: string (or Expression with resultType string).
    :type file_path: any
    :param linked_service_name: Required. Reference to an Azure Storage LinkedService, where Azure
     ML WebService Input/Output file located.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    """

    _validation = {
        'file_path': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'file_path': {'key': 'filePath', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
    }

    def __init__(
        self,
        *,
        file_path: Any,
        linked_service_name: "LinkedServiceReference",
        **kwargs
    ):
        super(AzureMLWebServiceFile, self).__init__(**kwargs)
        self.file_path = file_path
        self.linked_service_name = linked_service_name


class AzureMySqlLinkedService(LinkedService):
    """Azure MySQL database linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMySqlLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureMySql'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.encrypted_credential = encrypted_credential


class AzureMySqlSink(CopySink):
    """A copy activity Azure MySql sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: A query to execute before starting the copy. Type: string (or
     Expression with resultType string).
    :type pre_copy_script: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMySqlSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureMySqlSink'  # type: str
        self.pre_copy_script = pre_copy_script


class AzureMySqlSource(TabularSource):
    """A copy activity Azure MySQL source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMySqlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AzureMySqlSource'  # type: str
        self.query = query


class AzureMySqlTableDataset(Dataset):
    """The Azure MySQL database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The Azure MySQL database table name. Type: string (or Expression with
     resultType string).
    :type table_name: any
    :param table: The name of Azure MySQL database table. Type: string (or Expression with
     resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(AzureMySqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureMySqlTable'  # type: str
        self.table_name = table_name
        self.table = table


class AzurePostgreSqlLinkedService(LinkedService):
    """Azure PostgreSQL linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzurePostgreSqlLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzurePostgreSql'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.encrypted_credential = encrypted_credential


class AzurePostgreSqlSink(CopySink):
    """A copy activity Azure PostgreSQL sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: A query to execute before starting the copy. Type: string (or
     Expression with resultType string).
    :type pre_copy_script: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        **kwargs
    ):
        super(AzurePostgreSqlSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzurePostgreSqlSink'  # type: str
        self.pre_copy_script = pre_copy_script


class AzurePostgreSqlSource(TabularSource):
    """A copy activity Azure PostgreSQL source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(AzurePostgreSqlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AzurePostgreSqlSource'  # type: str
        self.query = query


class AzurePostgreSqlTableDataset(Dataset):
    """Azure PostgreSQL dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name of the Azure PostgreSQL database which includes both schema
     and table. Type: string (or Expression with resultType string).
    :type table_name: any
    :param table: The table name of the Azure PostgreSQL database. Type: string (or Expression with
     resultType string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Azure PostgreSQL database. Type:
     string (or Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(AzurePostgreSqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzurePostgreSqlTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class AzureQueueSink(CopySink):
    """A copy activity Azure Queue sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        **kwargs
    ):
        super(AzureQueueSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureQueueSink'  # type: str


class AzureSearchIndexDataset(Dataset):
    """The Azure Search Index.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param index_name: Required. The name of the Azure Search Index. Type: string (or Expression
     with resultType string).
    :type index_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'index_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'index_name': {'key': 'typeProperties.indexName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        index_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(AzureSearchIndexDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureSearchIndex'  # type: str
        self.index_name = index_name


class AzureSearchIndexSink(CopySink):
    """A copy activity Azure Search Index sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: Specify the write behavior when upserting documents into Azure Search
     Index. Possible values include: "Merge", "Upload".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.AzureSearchIndexWriteBehaviorType
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        write_behavior: Optional[Union[str, "AzureSearchIndexWriteBehaviorType"]] = None,
        **kwargs
    ):
        super(AzureSearchIndexSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureSearchIndexSink'  # type: str
        self.write_behavior = write_behavior


class AzureSearchLinkedService(LinkedService):
    """Linked service for Windows Azure Search Service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. URL for Azure Search service. Type: string (or Expression with resultType
     string).
    :type url: any
    :param key: Admin Key for Azure Search service.
    :type key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'key': {'key': 'typeProperties.key', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        key: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSearchLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureSearch'  # type: str
        self.url = url
        self.key = key
        self.encrypted_credential = encrypted_credential


class AzureSqlDatabaseLinkedService(LinkedService):
    """Microsoft Azure SQL Database linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param service_principal_id: The ID of the service principal used to authenticate against Azure
     SQL Database. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The key of the service principal used to authenticate against
     Azure SQL Database.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlDatabaseLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureSqlDatabase'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.encrypted_credential = encrypted_credential


class AzureSqlDWLinkedService(LinkedService):
    """Azure SQL Data Warehouse linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference. Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param service_principal_id: The ID of the service principal used to authenticate against Azure
     SQL Data Warehouse. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The key of the service principal used to authenticate against
     Azure SQL Data Warehouse.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlDWLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureSqlDW'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.encrypted_credential = encrypted_credential


class AzureSqlDWTableDataset(Dataset):
    """The Azure SQL Data Warehouse dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param schema_type_properties_schema: The schema name of the Azure SQL Data Warehouse. Type:
     string (or Expression with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of the Azure SQL Data Warehouse. Type: string (or Expression with
     resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlDWTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureSqlDWTable'  # type: str
        self.table_name = table_name
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class AzureSqlMILinkedService(LinkedService):
    """Azure SQL Managed Instance linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param service_principal_id: The ID of the service principal used to authenticate against Azure
     SQL Managed Instance. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The key of the service principal used to authenticate against
     Azure SQL Managed Instance.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlMILinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureSqlMI'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.encrypted_credential = encrypted_credential


class AzureSqlMITableDataset(Dataset):
    """The Azure SQL Managed Instance dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param schema_type_properties_schema: The schema name of the Azure SQL Managed Instance. Type:
     string (or Expression with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of the Azure SQL Managed Instance dataset. Type: string (or
     Expression with resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlMITableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureSqlMITable'  # type: str
        self.table_name = table_name
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class AzureSqlSink(CopySink):
    """A copy activity Azure SQL sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param sql_writer_stored_procedure_name: SQL writer stored procedure name. Type: string (or
     Expression with resultType string).
    :type sql_writer_stored_procedure_name: any
    :param sql_writer_table_type: SQL writer table type. Type: string (or Expression with
     resultType string).
    :type sql_writer_table_type: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param stored_procedure_parameters: SQL stored procedure parameters.
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param stored_procedure_table_type_parameter_name: The stored procedure parameter name of the
     table type. Type: string (or Expression with resultType string).
    :type stored_procedure_table_type_parameter_name: any
    :param table_option: The option to handle sink table, such as autoCreate. For now only
     'autoCreate' value is supported. Type: string (or Expression with resultType string).
    :type table_option: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'sql_writer_stored_procedure_name': {'key': 'sqlWriterStoredProcedureName', 'type': 'object'},
        'sql_writer_table_type': {'key': 'sqlWriterTableType', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'stored_procedure_table_type_parameter_name': {'key': 'storedProcedureTableTypeParameterName', 'type': 'object'},
        'table_option': {'key': 'tableOption', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        sql_writer_stored_procedure_name: Optional[Any] = None,
        sql_writer_table_type: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        stored_procedure_table_type_parameter_name: Optional[Any] = None,
        table_option: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureSqlSink'  # type: str
        self.sql_writer_stored_procedure_name = sql_writer_stored_procedure_name
        self.sql_writer_table_type = sql_writer_table_type
        self.pre_copy_script = pre_copy_script
        self.stored_procedure_parameters = stored_procedure_parameters
        self.stored_procedure_table_type_parameter_name = stored_procedure_table_type_parameter_name
        self.table_option = table_option


class AzureSqlSource(TabularSource):
    """A copy activity Azure SQL source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param sql_reader_query: SQL reader query. Type: string (or Expression with resultType string).
    :type sql_reader_query: any
    :param sql_reader_stored_procedure_name: Name of the stored procedure for a SQL Database
     source. This cannot be used at the same time as SqlReaderQuery. Type: string (or Expression
     with resultType string).
    :type sql_reader_stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}".
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param produce_additional_types: Which additional types to produce.
    :type produce_additional_types: any
    :param partition_option: The partition mechanism that will be used for Sql read in parallel.
     Possible values include: "None", "PhysicalPartitionsOfTable", "DynamicRange".
    :type partition_option: any
    :param partition_settings: The settings that will be leveraged for Sql source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SqlPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'sql_reader_query': {'key': 'sqlReaderQuery', 'type': 'object'},
        'sql_reader_stored_procedure_name': {'key': 'sqlReaderStoredProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'produce_additional_types': {'key': 'produceAdditionalTypes', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'object'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SqlPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        sql_reader_query: Optional[Any] = None,
        sql_reader_stored_procedure_name: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        produce_additional_types: Optional[Any] = None,
        partition_option: Optional[Any] = None,
        partition_settings: Optional["SqlPartitionSettings"] = None,
        **kwargs
    ):
        super(AzureSqlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AzureSqlSource'  # type: str
        self.sql_reader_query = sql_reader_query
        self.sql_reader_stored_procedure_name = sql_reader_stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters
        self.produce_additional_types = produce_additional_types
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class AzureSqlTableDataset(Dataset):
    """The Azure SQL Server database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param schema_type_properties_schema: The schema name of the Azure SQL database. Type: string
     (or Expression with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of the Azure SQL database. Type: string (or Expression with
     resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(AzureSqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureSqlTable'  # type: str
        self.table_name = table_name
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class AzureStorageLinkedService(LinkedService):
    """The storage account linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: The connection string. It is mutually exclusive with sasUri property.
     Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param account_key: The Azure key vault secret reference of accountKey in connection string.
    :type account_key: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param sas_uri: SAS URI of the Azure Storage resource. It is mutually exclusive with
     connectionString property. Type: string, SecureString or AzureKeyVaultSecretReference.
    :type sas_uri: any
    :param sas_token: The Azure key vault secret reference of sasToken in sas uri.
    :type sas_token: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'account_key': {'key': 'typeProperties.accountKey', 'type': 'AzureKeyVaultSecretReference'},
        'sas_uri': {'key': 'typeProperties.sasUri', 'type': 'object'},
        'sas_token': {'key': 'typeProperties.sasToken', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        account_key: Optional["AzureKeyVaultSecretReference"] = None,
        sas_uri: Optional[Any] = None,
        sas_token: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[str] = None,
        **kwargs
    ):
        super(AzureStorageLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureStorage'  # type: str
        self.connection_string = connection_string
        self.account_key = account_key
        self.sas_uri = sas_uri
        self.sas_token = sas_token
        self.encrypted_credential = encrypted_credential


class AzureTableDataset(Dataset):
    """The Azure Table storage dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: Required. The table name of the Azure Table storage. Type: string (or
     Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'table_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        table_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(AzureTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'AzureTable'  # type: str
        self.table_name = table_name


class AzureTableSink(CopySink):
    """A copy activity Azure Table sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param azure_table_default_partition_key_value: Azure Table default partition key value. Type:
     string (or Expression with resultType string).
    :type azure_table_default_partition_key_value: any
    :param azure_table_partition_key_name: Azure Table partition key name. Type: string (or
     Expression with resultType string).
    :type azure_table_partition_key_name: any
    :param azure_table_row_key_name: Azure Table row key name. Type: string (or Expression with
     resultType string).
    :type azure_table_row_key_name: any
    :param azure_table_insert_type: Azure Table insert type. Type: string (or Expression with
     resultType string).
    :type azure_table_insert_type: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'azure_table_default_partition_key_value': {'key': 'azureTableDefaultPartitionKeyValue', 'type': 'object'},
        'azure_table_partition_key_name': {'key': 'azureTablePartitionKeyName', 'type': 'object'},
        'azure_table_row_key_name': {'key': 'azureTableRowKeyName', 'type': 'object'},
        'azure_table_insert_type': {'key': 'azureTableInsertType', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        azure_table_default_partition_key_value: Optional[Any] = None,
        azure_table_partition_key_name: Optional[Any] = None,
        azure_table_row_key_name: Optional[Any] = None,
        azure_table_insert_type: Optional[Any] = None,
        **kwargs
    ):
        super(AzureTableSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'AzureTableSink'  # type: str
        self.azure_table_default_partition_key_value = azure_table_default_partition_key_value
        self.azure_table_partition_key_name = azure_table_partition_key_name
        self.azure_table_row_key_name = azure_table_row_key_name
        self.azure_table_insert_type = azure_table_insert_type


class AzureTableSource(TabularSource):
    """A copy activity Azure Table source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param azure_table_source_query: Azure Table source query. Type: string (or Expression with
     resultType string).
    :type azure_table_source_query: any
    :param azure_table_source_ignore_table_not_found: Azure Table source ignore table not found.
     Type: boolean (or Expression with resultType boolean).
    :type azure_table_source_ignore_table_not_found: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'azure_table_source_query': {'key': 'azureTableSourceQuery', 'type': 'object'},
        'azure_table_source_ignore_table_not_found': {'key': 'azureTableSourceIgnoreTableNotFound', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        azure_table_source_query: Optional[Any] = None,
        azure_table_source_ignore_table_not_found: Optional[Any] = None,
        **kwargs
    ):
        super(AzureTableSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'AzureTableSource'  # type: str
        self.azure_table_source_query = azure_table_source_query
        self.azure_table_source_ignore_table_not_found = azure_table_source_ignore_table_not_found


class AzureTableStorageLinkedService(LinkedService):
    """The azure table storage linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: The connection string. It is mutually exclusive with sasUri property.
     Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param account_key: The Azure key vault secret reference of accountKey in connection string.
    :type account_key: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param sas_uri: SAS URI of the Azure Storage resource. It is mutually exclusive with
     connectionString property. Type: string, SecureString or AzureKeyVaultSecretReference.
    :type sas_uri: any
    :param sas_token: The Azure key vault secret reference of sasToken in sas uri.
    :type sas_token: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'account_key': {'key': 'typeProperties.accountKey', 'type': 'AzureKeyVaultSecretReference'},
        'sas_uri': {'key': 'typeProperties.sasUri', 'type': 'object'},
        'sas_token': {'key': 'typeProperties.sasToken', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        account_key: Optional["AzureKeyVaultSecretReference"] = None,
        sas_uri: Optional[Any] = None,
        sas_token: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[str] = None,
        **kwargs
    ):
        super(AzureTableStorageLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureTableStorage'  # type: str
        self.connection_string = connection_string
        self.account_key = account_key
        self.sas_uri = sas_uri
        self.sas_token = sas_token
        self.encrypted_credential = encrypted_credential


class BigDataPoolReference(msrest.serialization.Model):
    """Big data pool reference.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Big data pool reference type. Possible values include:
     "BigDataPoolReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.BigDataPoolReferenceType
    :param reference_name: Required. Reference big data pool name.
    :type reference_name: str
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "BigDataPoolReferenceType"],
        reference_name: str,
        **kwargs
    ):
        super(BigDataPoolReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name


class TrackedResource(Resource):
    """The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :param tags: A set of tags. Resource tags.
    :type tags: dict[str, str]
    :param location: Required. The geo-location where the resource lives.
    :type location: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'location': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'tags': {'key': 'tags', 'type': '{str}'},
        'location': {'key': 'location', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        location: str,
        tags: Optional[Dict[str, str]] = None,
        **kwargs
    ):
        super(TrackedResource, self).__init__(**kwargs)
        self.tags = tags
        self.location = location


class BigDataPoolResourceInfo(TrackedResource):
    """A Big Data pool.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :param tags: A set of tags. Resource tags.
    :type tags: dict[str, str]
    :param location: Required. The geo-location where the resource lives.
    :type location: str
    :param provisioning_state: The state of the Big Data pool.
    :type provisioning_state: str
    :param auto_scale: Auto-scaling properties.
    :type auto_scale: ~azure.synapse.artifacts.v2020_12_01.models.AutoScaleProperties
    :param creation_date: The time when the Big Data pool was created.
    :type creation_date: ~datetime.datetime
    :param auto_pause: Auto-pausing properties.
    :type auto_pause: ~azure.synapse.artifacts.v2020_12_01.models.AutoPauseProperties
    :param is_compute_isolation_enabled: Whether compute isolation is required or not.
    :type is_compute_isolation_enabled: bool
    :param session_level_packages_enabled: Whether session level packages enabled.
    :type session_level_packages_enabled: bool
    :param cache_size: The cache size.
    :type cache_size: int
    :param dynamic_executor_allocation: Dynamic Executor Allocation.
    :type dynamic_executor_allocation:
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicExecutorAllocation
    :param spark_events_folder: The Spark events folder.
    :type spark_events_folder: str
    :param node_count: The number of nodes in the Big Data pool.
    :type node_count: int
    :param library_requirements: Library version requirements.
    :type library_requirements: ~azure.synapse.artifacts.v2020_12_01.models.LibraryRequirements
    :param custom_libraries: List of custom libraries/packages associated with the spark pool.
    :type custom_libraries: list[~azure.synapse.artifacts.v2020_12_01.models.LibraryInfo]
    :param spark_config_properties: Spark configuration file to specify additional properties.
    :type spark_config_properties: ~azure.synapse.artifacts.v2020_12_01.models.LibraryRequirements
    :param spark_version: The Apache Spark version.
    :type spark_version: str
    :param default_spark_log_folder: The default folder where Spark logs will be written.
    :type default_spark_log_folder: str
    :param node_size: The level of compute power that each node in the Big Data pool has. Possible
     values include: "None", "Small", "Medium", "Large", "XLarge", "XXLarge", "XXXLarge".
    :type node_size: str or ~azure.synapse.artifacts.v2020_12_01.models.NodeSize
    :param node_size_family: The kind of nodes that the Big Data pool provides. Possible values
     include: "None", "MemoryOptimized".
    :type node_size_family: str or ~azure.synapse.artifacts.v2020_12_01.models.NodeSizeFamily
    :ivar last_succeeded_timestamp: The time when the Big Data pool was updated successfully.
    :vartype last_succeeded_timestamp: ~datetime.datetime
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'location': {'required': True},
        'last_succeeded_timestamp': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'tags': {'key': 'tags', 'type': '{str}'},
        'location': {'key': 'location', 'type': 'str'},
        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
        'auto_scale': {'key': 'properties.autoScale', 'type': 'AutoScaleProperties'},
        'creation_date': {'key': 'properties.creationDate', 'type': 'iso-8601'},
        'auto_pause': {'key': 'properties.autoPause', 'type': 'AutoPauseProperties'},
        'is_compute_isolation_enabled': {'key': 'properties.isComputeIsolationEnabled', 'type': 'bool'},
        'session_level_packages_enabled': {'key': 'properties.sessionLevelPackagesEnabled', 'type': 'bool'},
        'cache_size': {'key': 'properties.cacheSize', 'type': 'int'},
        'dynamic_executor_allocation': {'key': 'properties.dynamicExecutorAllocation', 'type': 'DynamicExecutorAllocation'},
        'spark_events_folder': {'key': 'properties.sparkEventsFolder', 'type': 'str'},
        'node_count': {'key': 'properties.nodeCount', 'type': 'int'},
        'library_requirements': {'key': 'properties.libraryRequirements', 'type': 'LibraryRequirements'},
        'custom_libraries': {'key': 'properties.customLibraries', 'type': '[LibraryInfo]'},
        'spark_config_properties': {'key': 'properties.sparkConfigProperties', 'type': 'LibraryRequirements'},
        'spark_version': {'key': 'properties.sparkVersion', 'type': 'str'},
        'default_spark_log_folder': {'key': 'properties.defaultSparkLogFolder', 'type': 'str'},
        'node_size': {'key': 'properties.nodeSize', 'type': 'str'},
        'node_size_family': {'key': 'properties.nodeSizeFamily', 'type': 'str'},
        'last_succeeded_timestamp': {'key': 'properties.lastSucceededTimestamp', 'type': 'iso-8601'},
    }

    def __init__(
        self,
        *,
        location: str,
        tags: Optional[Dict[str, str]] = None,
        provisioning_state: Optional[str] = None,
        auto_scale: Optional["AutoScaleProperties"] = None,
        creation_date: Optional[datetime.datetime] = None,
        auto_pause: Optional["AutoPauseProperties"] = None,
        is_compute_isolation_enabled: Optional[bool] = None,
        session_level_packages_enabled: Optional[bool] = None,
        cache_size: Optional[int] = None,
        dynamic_executor_allocation: Optional["DynamicExecutorAllocation"] = None,
        spark_events_folder: Optional[str] = None,
        node_count: Optional[int] = None,
        library_requirements: Optional["LibraryRequirements"] = None,
        custom_libraries: Optional[List["LibraryInfo"]] = None,
        spark_config_properties: Optional["LibraryRequirements"] = None,
        spark_version: Optional[str] = None,
        default_spark_log_folder: Optional[str] = None,
        node_size: Optional[Union[str, "NodeSize"]] = None,
        node_size_family: Optional[Union[str, "NodeSizeFamily"]] = None,
        **kwargs
    ):
        super(BigDataPoolResourceInfo, self).__init__(tags=tags, location=location, **kwargs)
        self.provisioning_state = provisioning_state
        self.auto_scale = auto_scale
        self.creation_date = creation_date
        self.auto_pause = auto_pause
        self.is_compute_isolation_enabled = is_compute_isolation_enabled
        self.session_level_packages_enabled = session_level_packages_enabled
        self.cache_size = cache_size
        self.dynamic_executor_allocation = dynamic_executor_allocation
        self.spark_events_folder = spark_events_folder
        self.node_count = node_count
        self.library_requirements = library_requirements
        self.custom_libraries = custom_libraries
        self.spark_config_properties = spark_config_properties
        self.spark_version = spark_version
        self.default_spark_log_folder = default_spark_log_folder
        self.node_size = node_size
        self.node_size_family = node_size_family
        self.last_succeeded_timestamp = None


class BigDataPoolResourceInfoListResult(msrest.serialization.Model):
    """Collection of Big Data pool information.

    :param next_link: Link to the next page of results.
    :type next_link: str
    :param value: List of Big Data pools.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.BigDataPoolResourceInfo]
    """

    _attribute_map = {
        'next_link': {'key': 'nextLink', 'type': 'str'},
        'value': {'key': 'value', 'type': '[BigDataPoolResourceInfo]'},
    }

    def __init__(
        self,
        *,
        next_link: Optional[str] = None,
        value: Optional[List["BigDataPoolResourceInfo"]] = None,
        **kwargs
    ):
        super(BigDataPoolResourceInfoListResult, self).__init__(**kwargs)
        self.next_link = next_link
        self.value = value


class BinaryDataset(Dataset):
    """Binary dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the Binary storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param compression: The data compression method used for the binary dataset.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(BinaryDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Binary'  # type: str
        self.location = location
        self.compression = compression


class FormatReadSettings(msrest.serialization.Model):
    """Format read settings.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: BinaryReadSettings, DelimitedTextReadSettings, JsonReadSettings, XmlReadSettings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'BinaryReadSettings': 'BinaryReadSettings', 'DelimitedTextReadSettings': 'DelimitedTextReadSettings', 'JsonReadSettings': 'JsonReadSettings', 'XmlReadSettings': 'XmlReadSettings'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(FormatReadSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'FormatReadSettings'  # type: str


class BinaryReadSettings(FormatReadSettings):
    """Binary read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param compression_properties: Compression settings.
    :type compression_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.CompressionReadSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'compression_properties': {'key': 'compressionProperties', 'type': 'CompressionReadSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        compression_properties: Optional["CompressionReadSettings"] = None,
        **kwargs
    ):
        super(BinaryReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'BinaryReadSettings'  # type: str
        self.compression_properties = compression_properties


class BinarySink(CopySink):
    """A copy activity Binary sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Binary store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreWriteSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreWriteSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreWriteSettings"] = None,
        **kwargs
    ):
        super(BinarySink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'BinarySink'  # type: str
        self.store_settings = store_settings


class BinarySource(CopySource):
    """A copy activity Binary source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Binary store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param format_settings: Binary format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.BinaryReadSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'BinaryReadSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        format_settings: Optional["BinaryReadSettings"] = None,
        **kwargs
    ):
        super(BinarySource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'BinarySource'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings


class Trigger(msrest.serialization.Model):
    """Azure Synapse nested object which contains information about creating pipeline run.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: ChainingTrigger, MultiplePipelineTrigger, RerunTumblingWindowTrigger, TumblingWindowTrigger.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
    }

    _subtype_map = {
        'type': {'ChainingTrigger': 'ChainingTrigger', 'MultiplePipelineTrigger': 'MultiplePipelineTrigger', 'RerunTumblingWindowTrigger': 'RerunTumblingWindowTrigger', 'TumblingWindowTrigger': 'TumblingWindowTrigger'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(Trigger, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'Trigger'  # type: str
        self.description = description
        self.runtime_state = None
        self.annotations = annotations


class MultiplePipelineTrigger(Trigger):
    """Base class for all triggers that support one to many model for trigger to pipeline.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: BlobEventsTrigger, BlobTrigger, CustomEventsTrigger, ScheduleTrigger.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipelines: Pipelines that need to be started.
    :type pipelines: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference]
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipelines': {'key': 'pipelines', 'type': '[TriggerPipelineReference]'},
    }

    _subtype_map = {
        'type': {'BlobEventsTrigger': 'BlobEventsTrigger', 'BlobTrigger': 'BlobTrigger', 'CustomEventsTrigger': 'CustomEventsTrigger', 'ScheduleTrigger': 'ScheduleTrigger'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        pipelines: Optional[List["TriggerPipelineReference"]] = None,
        **kwargs
    ):
        super(MultiplePipelineTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, **kwargs)
        self.type = 'MultiplePipelineTrigger'  # type: str
        self.pipelines = pipelines


class BlobEventsTrigger(MultiplePipelineTrigger):
    """Trigger that runs every time a Blob event occurs.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipelines: Pipelines that need to be started.
    :type pipelines: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference]
    :param blob_path_begins_with: The blob path must begin with the pattern provided for trigger to
     fire. For example, '/records/blobs/december/' will only fire the trigger for blobs in the
     december folder under the records container. At least one of these must be provided:
     blobPathBeginsWith, blobPathEndsWith.
    :type blob_path_begins_with: str
    :param blob_path_ends_with: The blob path must end with the pattern provided for trigger to
     fire. For example, 'december/boxes.csv' will only fire the trigger for blobs named boxes in a
     december folder. At least one of these must be provided: blobPathBeginsWith, blobPathEndsWith.
    :type blob_path_ends_with: str
    :param ignore_empty_blobs: If set to true, blobs with zero bytes will be ignored.
    :type ignore_empty_blobs: bool
    :param events: Required. The type of events that cause this trigger to fire.
    :type events: list[str or ~azure.synapse.artifacts.v2020_12_01.models.BlobEventType]
    :param scope: Required. The ARM resource ID of the Storage Account.
    :type scope: str
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'events': {'required': True},
        'scope': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipelines': {'key': 'pipelines', 'type': '[TriggerPipelineReference]'},
        'blob_path_begins_with': {'key': 'typeProperties.blobPathBeginsWith', 'type': 'str'},
        'blob_path_ends_with': {'key': 'typeProperties.blobPathEndsWith', 'type': 'str'},
        'ignore_empty_blobs': {'key': 'typeProperties.ignoreEmptyBlobs', 'type': 'bool'},
        'events': {'key': 'typeProperties.events', 'type': '[str]'},
        'scope': {'key': 'typeProperties.scope', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        events: List[Union[str, "BlobEventType"]],
        scope: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        pipelines: Optional[List["TriggerPipelineReference"]] = None,
        blob_path_begins_with: Optional[str] = None,
        blob_path_ends_with: Optional[str] = None,
        ignore_empty_blobs: Optional[bool] = None,
        **kwargs
    ):
        super(BlobEventsTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, pipelines=pipelines, **kwargs)
        self.type = 'BlobEventsTrigger'  # type: str
        self.blob_path_begins_with = blob_path_begins_with
        self.blob_path_ends_with = blob_path_ends_with
        self.ignore_empty_blobs = ignore_empty_blobs
        self.events = events
        self.scope = scope


class BlobSink(CopySink):
    """A copy activity Azure Blob sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param blob_writer_overwrite_files: Blob writer overwrite files. Type: boolean (or Expression
     with resultType boolean).
    :type blob_writer_overwrite_files: any
    :param blob_writer_date_time_format: Blob writer date time format. Type: string (or Expression
     with resultType string).
    :type blob_writer_date_time_format: any
    :param blob_writer_add_header: Blob writer add header. Type: boolean (or Expression with
     resultType boolean).
    :type blob_writer_add_header: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'blob_writer_overwrite_files': {'key': 'blobWriterOverwriteFiles', 'type': 'object'},
        'blob_writer_date_time_format': {'key': 'blobWriterDateTimeFormat', 'type': 'object'},
        'blob_writer_add_header': {'key': 'blobWriterAddHeader', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        blob_writer_overwrite_files: Optional[Any] = None,
        blob_writer_date_time_format: Optional[Any] = None,
        blob_writer_add_header: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(BlobSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'BlobSink'  # type: str
        self.blob_writer_overwrite_files = blob_writer_overwrite_files
        self.blob_writer_date_time_format = blob_writer_date_time_format
        self.blob_writer_add_header = blob_writer_add_header
        self.copy_behavior = copy_behavior


class BlobSource(CopySource):
    """A copy activity Azure Blob source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param treat_empty_as_null: Treat empty as null. Type: boolean (or Expression with resultType
     boolean).
    :type treat_empty_as_null: any
    :param skip_header_line_count: Number of header lines to skip from each blob. Type: integer (or
     Expression with resultType integer).
    :type skip_header_line_count: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'treat_empty_as_null': {'key': 'treatEmptyAsNull', 'type': 'object'},
        'skip_header_line_count': {'key': 'skipHeaderLineCount', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        treat_empty_as_null: Optional[Any] = None,
        skip_header_line_count: Optional[Any] = None,
        recursive: Optional[Any] = None,
        **kwargs
    ):
        super(BlobSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'BlobSource'  # type: str
        self.treat_empty_as_null = treat_empty_as_null
        self.skip_header_line_count = skip_header_line_count
        self.recursive = recursive


class BlobTrigger(MultiplePipelineTrigger):
    """Trigger that runs every time the selected Blob container changes.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipelines: Pipelines that need to be started.
    :type pipelines: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference]
    :param folder_path: Required. The path of the container/folder that will trigger the pipeline.
    :type folder_path: str
    :param max_concurrency: Required. The max number of parallel files to handle when it is
     triggered.
    :type max_concurrency: int
    :param linked_service: Required. The Azure Storage linked service reference.
    :type linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'folder_path': {'required': True},
        'max_concurrency': {'required': True},
        'linked_service': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipelines': {'key': 'pipelines', 'type': '[TriggerPipelineReference]'},
        'folder_path': {'key': 'typeProperties.folderPath', 'type': 'str'},
        'max_concurrency': {'key': 'typeProperties.maxConcurrency', 'type': 'int'},
        'linked_service': {'key': 'typeProperties.linkedService', 'type': 'LinkedServiceReference'},
    }

    def __init__(
        self,
        *,
        folder_path: str,
        max_concurrency: int,
        linked_service: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        pipelines: Optional[List["TriggerPipelineReference"]] = None,
        **kwargs
    ):
        super(BlobTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, pipelines=pipelines, **kwargs)
        self.type = 'BlobTrigger'  # type: str
        self.folder_path = folder_path
        self.max_concurrency = max_concurrency
        self.linked_service = linked_service


class CassandraLinkedService(LinkedService):
    """Linked service for Cassandra data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. Host name for connection. Type: string (or Expression with resultType
     string).
    :type host: any
    :param authentication_type: AuthenticationType to be used for connection. Type: string (or
     Expression with resultType string).
    :type authentication_type: any
    :param port: The port for the connection. Type: integer (or Expression with resultType
     integer).
    :type port: any
    :param username: Username for authentication. Type: string (or Expression with resultType
     string).
    :type username: any
    :param password: Password for authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Any] = None,
        port: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(CassandraLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Cassandra'  # type: str
        self.host = host
        self.authentication_type = authentication_type
        self.port = port
        self.username = username
        self.password = password
        self.encrypted_credential = encrypted_credential


class CassandraSource(TabularSource):
    """A copy activity source for a Cassandra database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Should be a SQL-92 query expression or Cassandra Query Language
     (CQL) command. Type: string (or Expression with resultType string).
    :type query: any
    :param consistency_level: The consistency level specifies how many Cassandra servers must
     respond to a read request before returning data to the client application. Cassandra checks the
     specified number of Cassandra servers for data to satisfy the read request. Must be one of
     cassandraSourceReadConsistencyLevels. The default value is 'ONE'. It is case-insensitive.
     Possible values include: "ALL", "EACH_QUORUM", "QUORUM", "LOCAL_QUORUM", "ONE", "TWO", "THREE",
     "LOCAL_ONE", "SERIAL", "LOCAL_SERIAL".
    :type consistency_level: str or
     ~azure.synapse.artifacts.v2020_12_01.models.CassandraSourceReadConsistencyLevels
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'consistency_level': {'key': 'consistencyLevel', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        consistency_level: Optional[Union[str, "CassandraSourceReadConsistencyLevels"]] = None,
        **kwargs
    ):
        super(CassandraSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'CassandraSource'  # type: str
        self.query = query
        self.consistency_level = consistency_level


class CassandraTableDataset(Dataset):
    """The Cassandra database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name of the Cassandra database. Type: string (or Expression with
     resultType string).
    :type table_name: any
    :param keyspace: The keyspace of the Cassandra database. Type: string (or Expression with
     resultType string).
    :type keyspace: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'keyspace': {'key': 'typeProperties.keyspace', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        keyspace: Optional[Any] = None,
        **kwargs
    ):
        super(CassandraTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'CassandraTable'  # type: str
        self.table_name = table_name
        self.keyspace = keyspace


class ChainingTrigger(Trigger):
    """Trigger that allows the referenced pipeline to depend on other pipeline runs based on runDimension Name/Value pairs. Upstream pipelines should declare the same runDimension Name and their runs should have the values for those runDimensions. The referenced pipeline run would be triggered if the values for the runDimension match for all upstream pipeline runs.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipeline: Required. Pipeline for which runs are created when all upstream pipelines
     complete successfully.
    :type pipeline: ~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference
    :param depends_on: Required. Upstream Pipelines.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.PipelineReference]
    :param run_dimension: Required. Run Dimension property that needs to be emitted by upstream
     pipelines.
    :type run_dimension: str
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'pipeline': {'required': True},
        'depends_on': {'required': True},
        'run_dimension': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipeline': {'key': 'pipeline', 'type': 'TriggerPipelineReference'},
        'depends_on': {'key': 'typeProperties.dependsOn', 'type': '[PipelineReference]'},
        'run_dimension': {'key': 'typeProperties.runDimension', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        pipeline: "TriggerPipelineReference",
        depends_on: List["PipelineReference"],
        run_dimension: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(ChainingTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, **kwargs)
        self.type = 'ChainingTrigger'  # type: str
        self.pipeline = pipeline
        self.depends_on = depends_on
        self.run_dimension = run_dimension


class CloudError(msrest.serialization.Model):
    """The object that defines the structure of an Azure Synapse error response.

    All required parameters must be populated in order to send to Azure.

    :param code: Required. Error code.
    :type code: str
    :param message: Required. Error message.
    :type message: str
    :param target: Property name/path in request associated with error.
    :type target: str
    :param details: Array with additional error details.
    :type details: list[~azure.synapse.artifacts.v2020_12_01.models.CloudError]
    """

    _validation = {
        'code': {'required': True},
        'message': {'required': True},
    }

    _attribute_map = {
        'code': {'key': 'error.code', 'type': 'str'},
        'message': {'key': 'error.message', 'type': 'str'},
        'target': {'key': 'error.target', 'type': 'str'},
        'details': {'key': 'error.details', 'type': '[CloudError]'},
    }

    def __init__(
        self,
        *,
        code: str,
        message: str,
        target: Optional[str] = None,
        details: Optional[List["CloudError"]] = None,
        **kwargs
    ):
        super(CloudError, self).__init__(**kwargs)
        self.code = code
        self.message = message
        self.target = target
        self.details = details


class CommonDataServiceForAppsEntityDataset(Dataset):
    """The Common Data Service for Apps entity dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param entity_name: The logical name of the entity. Type: string (or Expression with resultType
     string).
    :type entity_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'entity_name': {'key': 'typeProperties.entityName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        entity_name: Optional[Any] = None,
        **kwargs
    ):
        super(CommonDataServiceForAppsEntityDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'CommonDataServiceForAppsEntity'  # type: str
        self.entity_name = entity_name


class CommonDataServiceForAppsLinkedService(LinkedService):
    """Common Data Service for Apps linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param deployment_type: Required. The deployment type of the Common Data Service for Apps
     instance. 'Online' for Common Data Service for Apps Online and 'OnPremisesWithIfd' for Common
     Data Service for Apps on-premises with Ifd. Type: string (or Expression with resultType
     string). Possible values include: "Online", "OnPremisesWithIfd".
    :type deployment_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsDeploymentType
    :param host_name: The host name of the on-premises Common Data Service for Apps server. The
     property is required for on-prem and not allowed for online. Type: string (or Expression with
     resultType string).
    :type host_name: any
    :param port: The port of on-premises Common Data Service for Apps server. The property is
     required for on-prem and not allowed for online. Default is 443. Type: integer (or Expression
     with resultType integer), minimum: 0.
    :type port: any
    :param service_uri: The URL to the Microsoft Common Data Service for Apps server. The property
     is required for on-line and not allowed for on-prem. Type: string (or Expression with
     resultType string).
    :type service_uri: any
    :param organization_name: The organization name of the Common Data Service for Apps instance.
     The property is required for on-prem and required for online when there are more than one
     Common Data Service for Apps instances associated with the user. Type: string (or Expression
     with resultType string).
    :type organization_name: any
    :param authentication_type: Required. The authentication type to connect to Common Data Service
     for Apps server. 'Office365' for online scenario, 'Ifd' for on-premises with Ifd scenario.
     'AADServicePrincipal' for Server-To-Server authentication in online scenario. Type: string (or
     Expression with resultType string). Possible values include: "Office365", "Ifd",
     "AADServicePrincipal".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsAuthenticationType
    :param username: User name to access the Common Data Service for Apps instance. Type: string
     (or Expression with resultType string).
    :type username: any
    :param password: Password to access the Common Data Service for Apps instance.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_principal_id: The client ID of the application in Azure Active Directory used
     for Server-To-Server authentication. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_credential_type: A string from ServicePrincipalCredentialEnum or an
     expression.
    :type service_principal_credential_type: any
    :param service_principal_credential: The credential of the service principal object in Azure
     Active Directory. If servicePrincipalCredentialType is 'ServicePrincipalKey',
     servicePrincipalCredential can be SecureString or AzureKeyVaultSecretReference. If
     servicePrincipalCredentialType is 'ServicePrincipalCert', servicePrincipalCredential can only
     be AzureKeyVaultSecretReference.
    :type service_principal_credential: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'deployment_type': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'deployment_type': {'key': 'typeProperties.deploymentType', 'type': 'str'},
        'host_name': {'key': 'typeProperties.hostName', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'service_uri': {'key': 'typeProperties.serviceUri', 'type': 'object'},
        'organization_name': {'key': 'typeProperties.organizationName', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_credential_type': {'key': 'typeProperties.servicePrincipalCredentialType', 'type': 'object'},
        'service_principal_credential': {'key': 'typeProperties.servicePrincipalCredential', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        deployment_type: Union[str, "DynamicsDeploymentType"],
        authentication_type: Union[str, "DynamicsAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        host_name: Optional[Any] = None,
        port: Optional[Any] = None,
        service_uri: Optional[Any] = None,
        organization_name: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_credential_type: Optional[Any] = None,
        service_principal_credential: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(CommonDataServiceForAppsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'CommonDataServiceForApps'  # type: str
        self.deployment_type = deployment_type
        self.host_name = host_name
        self.port = port
        self.service_uri = service_uri
        self.organization_name = organization_name
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_credential_type = service_principal_credential_type
        self.service_principal_credential = service_principal_credential
        self.encrypted_credential = encrypted_credential


class CommonDataServiceForAppsSink(CopySink):
    """A copy activity Common Data Service for Apps sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: Required. The write behavior for the operation. Possible values include:
     "Upsert".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsSinkWriteBehavior
    :param ignore_null_values: The flag indicating whether to ignore null values from input dataset
     (except key fields) during write operation. Default is false. Type: boolean (or Expression with
     resultType boolean).
    :type ignore_null_values: any
    :param alternate_key_name: The logical name of the alternate key which will be used when
     upserting records. Type: string (or Expression with resultType string).
    :type alternate_key_name: any
    """

    _validation = {
        'type': {'required': True},
        'write_behavior': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
        'ignore_null_values': {'key': 'ignoreNullValues', 'type': 'object'},
        'alternate_key_name': {'key': 'alternateKeyName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        write_behavior: Union[str, "DynamicsSinkWriteBehavior"],
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        ignore_null_values: Optional[Any] = None,
        alternate_key_name: Optional[Any] = None,
        **kwargs
    ):
        super(CommonDataServiceForAppsSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'CommonDataServiceForAppsSink'  # type: str
        self.write_behavior = write_behavior
        self.ignore_null_values = ignore_null_values
        self.alternate_key_name = alternate_key_name


class CommonDataServiceForAppsSource(CopySource):
    """A copy activity Common Data Service for Apps source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: FetchXML is a proprietary query language that is used in Microsoft Common Data
     Service for Apps (online & on-premises). Type: string (or Expression with resultType string).
    :type query: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(CommonDataServiceForAppsSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'CommonDataServiceForAppsSource'  # type: str
        self.query = query
        self.additional_columns = additional_columns


class CompressionReadSettings(msrest.serialization.Model):
    """Compression read settings.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: TarGZipReadSettings, TarReadSettings, ZipDeflateReadSettings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The Compression setting type.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'TarGZipReadSettings': 'TarGZipReadSettings', 'TarReadSettings': 'TarReadSettings', 'ZipDeflateReadSettings': 'ZipDeflateReadSettings'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(CompressionReadSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'CompressionReadSettings'  # type: str


class ConcurLinkedService(LinkedService):
    """Concur Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_properties: Properties used to connect to Concur. It is mutually exclusive
     with any other properties in the linked service. Type: object.
    :type connection_properties: any
    :param client_id: Required. Application client_id supplied by Concur App Management.
    :type client_id: any
    :param username: Required. The user name that you use to access Concur Service.
    :type username: any
    :param password: The password corresponding to the user name that you provided in the username
     field.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'client_id': {'required': True},
        'username': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_properties': {'key': 'typeProperties.connectionProperties', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        client_id: Any,
        username: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_properties: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ConcurLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Concur'  # type: str
        self.connection_properties = connection_properties
        self.client_id = client_id
        self.username = username
        self.password = password
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class ConcurObjectDataset(Dataset):
    """Concur Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(ConcurObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ConcurObject'  # type: str
        self.table_name = table_name


class ConcurSource(TabularSource):
    """A copy activity Concur Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(ConcurSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'ConcurSource'  # type: str
        self.query = query


class CopyActivity(ExecutionActivity):
    """Copy activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param inputs: List of inputs for the activity.
    :type inputs: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetReference]
    :param outputs: List of outputs for the activity.
    :type outputs: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetReference]
    :param source: Required. Copy activity source.
    :type source: ~azure.synapse.artifacts.v2020_12_01.models.CopySource
    :param sink: Required. Copy activity sink.
    :type sink: ~azure.synapse.artifacts.v2020_12_01.models.CopySink
    :param translator: Copy activity translator. If not specified, tabular translator is used.
    :type translator: any
    :param enable_staging: Specifies whether to copy data via an interim staging. Default value is
     false. Type: boolean (or Expression with resultType boolean).
    :type enable_staging: any
    :param staging_settings: Specifies interim staging settings when EnableStaging is true.
    :type staging_settings: ~azure.synapse.artifacts.v2020_12_01.models.StagingSettings
    :param parallel_copies: Maximum number of concurrent sessions opened on the source or sink to
     avoid overloading the data store. Type: integer (or Expression with resultType integer),
     minimum: 0.
    :type parallel_copies: any
    :param data_integration_units: Maximum number of data integration units that can be used to
     perform this data movement. Type: integer (or Expression with resultType integer), minimum: 0.
    :type data_integration_units: any
    :param enable_skip_incompatible_row: Whether to skip incompatible row. Default value is false.
     Type: boolean (or Expression with resultType boolean).
    :type enable_skip_incompatible_row: any
    :param redirect_incompatible_row_settings: Redirect incompatible row settings when
     EnableSkipIncompatibleRow is true.
    :type redirect_incompatible_row_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.RedirectIncompatibleRowSettings
    :param log_storage_settings: (Deprecated. Please use LogSettings) Log storage settings customer
     need to provide when enabling session log.
    :type log_storage_settings: ~azure.synapse.artifacts.v2020_12_01.models.LogStorageSettings
    :param log_settings: Log settings customer needs provide when enabling log.
    :type log_settings: ~azure.synapse.artifacts.v2020_12_01.models.LogSettings
    :param preserve_rules: Preserve Rules.
    :type preserve_rules: list[any]
    :param preserve: Preserve rules.
    :type preserve: list[any]
    :param validate_data_consistency: Whether to enable Data Consistency validation. Type: boolean
     (or Expression with resultType boolean).
    :type validate_data_consistency: any
    :param skip_error_file: Specify the fault tolerance for data consistency.
    :type skip_error_file: ~azure.synapse.artifacts.v2020_12_01.models.SkipErrorFile
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'source': {'required': True},
        'sink': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'inputs': {'key': 'inputs', 'type': '[DatasetReference]'},
        'outputs': {'key': 'outputs', 'type': '[DatasetReference]'},
        'source': {'key': 'typeProperties.source', 'type': 'CopySource'},
        'sink': {'key': 'typeProperties.sink', 'type': 'CopySink'},
        'translator': {'key': 'typeProperties.translator', 'type': 'object'},
        'enable_staging': {'key': 'typeProperties.enableStaging', 'type': 'object'},
        'staging_settings': {'key': 'typeProperties.stagingSettings', 'type': 'StagingSettings'},
        'parallel_copies': {'key': 'typeProperties.parallelCopies', 'type': 'object'},
        'data_integration_units': {'key': 'typeProperties.dataIntegrationUnits', 'type': 'object'},
        'enable_skip_incompatible_row': {'key': 'typeProperties.enableSkipIncompatibleRow', 'type': 'object'},
        'redirect_incompatible_row_settings': {'key': 'typeProperties.redirectIncompatibleRowSettings', 'type': 'RedirectIncompatibleRowSettings'},
        'log_storage_settings': {'key': 'typeProperties.logStorageSettings', 'type': 'LogStorageSettings'},
        'log_settings': {'key': 'typeProperties.logSettings', 'type': 'LogSettings'},
        'preserve_rules': {'key': 'typeProperties.preserveRules', 'type': '[object]'},
        'preserve': {'key': 'typeProperties.preserve', 'type': '[object]'},
        'validate_data_consistency': {'key': 'typeProperties.validateDataConsistency', 'type': 'object'},
        'skip_error_file': {'key': 'typeProperties.skipErrorFile', 'type': 'SkipErrorFile'},
    }

    def __init__(
        self,
        *,
        name: str,
        source: "CopySource",
        sink: "CopySink",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        inputs: Optional[List["DatasetReference"]] = None,
        outputs: Optional[List["DatasetReference"]] = None,
        translator: Optional[Any] = None,
        enable_staging: Optional[Any] = None,
        staging_settings: Optional["StagingSettings"] = None,
        parallel_copies: Optional[Any] = None,
        data_integration_units: Optional[Any] = None,
        enable_skip_incompatible_row: Optional[Any] = None,
        redirect_incompatible_row_settings: Optional["RedirectIncompatibleRowSettings"] = None,
        log_storage_settings: Optional["LogStorageSettings"] = None,
        log_settings: Optional["LogSettings"] = None,
        preserve_rules: Optional[List[Any]] = None,
        preserve: Optional[List[Any]] = None,
        validate_data_consistency: Optional[Any] = None,
        skip_error_file: Optional["SkipErrorFile"] = None,
        **kwargs
    ):
        super(CopyActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'Copy'  # type: str
        self.inputs = inputs
        self.outputs = outputs
        self.source = source
        self.sink = sink
        self.translator = translator
        self.enable_staging = enable_staging
        self.staging_settings = staging_settings
        self.parallel_copies = parallel_copies
        self.data_integration_units = data_integration_units
        self.enable_skip_incompatible_row = enable_skip_incompatible_row
        self.redirect_incompatible_row_settings = redirect_incompatible_row_settings
        self.log_storage_settings = log_storage_settings
        self.log_settings = log_settings
        self.preserve_rules = preserve_rules
        self.preserve = preserve
        self.validate_data_consistency = validate_data_consistency
        self.skip_error_file = skip_error_file


class CopyActivityLogSettings(msrest.serialization.Model):
    """Settings for copy activity log.

    :param log_level: Gets or sets the log level, support: Info, Warning. Type: string (or
     Expression with resultType string).
    :type log_level: any
    :param enable_reliable_logging: Specifies whether to enable reliable logging. Type: boolean (or
     Expression with resultType boolean).
    :type enable_reliable_logging: any
    """

    _attribute_map = {
        'log_level': {'key': 'logLevel', 'type': 'object'},
        'enable_reliable_logging': {'key': 'enableReliableLogging', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        log_level: Optional[Any] = None,
        enable_reliable_logging: Optional[Any] = None,
        **kwargs
    ):
        super(CopyActivityLogSettings, self).__init__(**kwargs)
        self.log_level = log_level
        self.enable_reliable_logging = enable_reliable_logging


class CopyTranslator(msrest.serialization.Model):
    """A copy activity translator.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: TabularTranslator.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy translator type.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'TabularTranslator': 'TabularTranslator'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(CopyTranslator, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'CopyTranslator'  # type: str


class CosmosDbLinkedService(LinkedService):
    """Microsoft Azure Cosmos Database (CosmosDB) linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param account_endpoint: The endpoint of the Azure CosmosDB account. Type: string (or
     Expression with resultType string).
    :type account_endpoint: any
    :param database: The name of the database. Type: string (or Expression with resultType string).
    :type database: any
    :param account_key: The account key of the Azure CosmosDB account. Type: SecureString or
     AzureKeyVaultSecretReference.
    :type account_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'account_endpoint': {'key': 'typeProperties.accountEndpoint', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
        'account_key': {'key': 'typeProperties.accountKey', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        account_endpoint: Optional[Any] = None,
        database: Optional[Any] = None,
        account_key: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(CosmosDbLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'CosmosDb'  # type: str
        self.connection_string = connection_string
        self.account_endpoint = account_endpoint
        self.database = database
        self.account_key = account_key
        self.encrypted_credential = encrypted_credential


class CosmosDbMongoDbApiCollectionDataset(Dataset):
    """The CosmosDB (MongoDB API) database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param collection: Required. The collection name of the CosmosDB (MongoDB API) database. Type:
     string (or Expression with resultType string).
    :type collection: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'collection': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'collection': {'key': 'typeProperties.collection', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        collection: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(CosmosDbMongoDbApiCollectionDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'CosmosDbMongoDbApiCollection'  # type: str
        self.collection = collection


class CosmosDbMongoDbApiLinkedService(LinkedService):
    """Linked service for CosmosDB (MongoDB API) data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The CosmosDB (MongoDB API) connection string. Type: string,
     SecureString or AzureKeyVaultSecretReference. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param database: Required. The name of the CosmosDB (MongoDB API) database that you want to
     access. Type: string (or Expression with resultType string).
    :type database: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
        'database': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        database: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(CosmosDbMongoDbApiLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'CosmosDbMongoDbApi'  # type: str
        self.connection_string = connection_string
        self.database = database


class CosmosDbMongoDbApiSink(CopySink):
    """A copy activity sink for a CosmosDB (MongoDB API) database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: Specifies whether the document with same key to be overwritten (upsert)
     rather than throw exception (insert). The default value is "insert". Type: string (or
     Expression with resultType string). Type: string (or Expression with resultType string).
    :type write_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        write_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(CosmosDbMongoDbApiSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'CosmosDbMongoDbApiSink'  # type: str
        self.write_behavior = write_behavior


class CosmosDbMongoDbApiSource(CopySource):
    """A copy activity source for a CosmosDB (MongoDB API) database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param filter: Specifies selection filter using query operators. To return all documents in a
     collection, omit this parameter or pass an empty document ({}). Type: string (or Expression
     with resultType string).
    :type filter: any
    :param cursor_methods: Cursor methods for Mongodb query.
    :type cursor_methods:
     ~azure.synapse.artifacts.v2020_12_01.models.MongoDbCursorMethodsProperties
    :param batch_size: Specifies the number of documents to return in each batch of the response
     from MongoDB instance. In most cases, modifying the batch size will not affect the user or the
     application. This property's main purpose is to avoid hit the limitation of response size.
     Type: integer (or Expression with resultType integer).
    :type batch_size: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'filter': {'key': 'filter', 'type': 'object'},
        'cursor_methods': {'key': 'cursorMethods', 'type': 'MongoDbCursorMethodsProperties'},
        'batch_size': {'key': 'batchSize', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        filter: Optional[Any] = None,
        cursor_methods: Optional["MongoDbCursorMethodsProperties"] = None,
        batch_size: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(CosmosDbMongoDbApiSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'CosmosDbMongoDbApiSource'  # type: str
        self.filter = filter
        self.cursor_methods = cursor_methods
        self.batch_size = batch_size
        self.query_timeout = query_timeout
        self.additional_columns = additional_columns


class CosmosDbSqlApiCollectionDataset(Dataset):
    """Microsoft Azure CosmosDB (SQL API) Collection dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param collection_name: Required. CosmosDB (SQL API) collection name. Type: string (or
     Expression with resultType string).
    :type collection_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'collection_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'collection_name': {'key': 'typeProperties.collectionName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        collection_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(CosmosDbSqlApiCollectionDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'CosmosDbSqlApiCollection'  # type: str
        self.collection_name = collection_name


class CosmosDbSqlApiSink(CopySink):
    """A copy activity Azure CosmosDB (SQL API) Collection sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: Describes how to write data to Azure Cosmos DB. Type: string (or
     Expression with resultType string). Allowed values: insert and upsert.
    :type write_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        write_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(CosmosDbSqlApiSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'CosmosDbSqlApiSink'  # type: str
        self.write_behavior = write_behavior


class CosmosDbSqlApiSource(CopySource):
    """A copy activity Azure CosmosDB (SQL API) Collection source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: SQL API query. Type: string (or Expression with resultType string).
    :type query: any
    :param page_size: Page size of the result. Type: integer (or Expression with resultType
     integer).
    :type page_size: any
    :param preferred_regions: Preferred regions. Type: array of strings (or Expression with
     resultType array of strings).
    :type preferred_regions: any
    :param detect_datetime: Whether detect primitive values as datetime values. Type: boolean (or
     Expression with resultType boolean).
    :type detect_datetime: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'page_size': {'key': 'pageSize', 'type': 'object'},
        'preferred_regions': {'key': 'preferredRegions', 'type': 'object'},
        'detect_datetime': {'key': 'detectDatetime', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        page_size: Optional[Any] = None,
        preferred_regions: Optional[Any] = None,
        detect_datetime: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(CosmosDbSqlApiSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'CosmosDbSqlApiSource'  # type: str
        self.query = query
        self.page_size = page_size
        self.preferred_regions = preferred_regions
        self.detect_datetime = detect_datetime
        self.additional_columns = additional_columns


class CouchbaseLinkedService(LinkedService):
    """Couchbase server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param cred_string: The Azure key vault secret reference of credString in connection string.
    :type cred_string: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'cred_string': {'key': 'typeProperties.credString', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        cred_string: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(CouchbaseLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Couchbase'  # type: str
        self.connection_string = connection_string
        self.cred_string = cred_string
        self.encrypted_credential = encrypted_credential


class CouchbaseSource(TabularSource):
    """A copy activity Couchbase server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(CouchbaseSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'CouchbaseSource'  # type: str
        self.query = query


class CouchbaseTableDataset(Dataset):
    """Couchbase server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(CouchbaseTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'CouchbaseTable'  # type: str
        self.table_name = table_name


class CreateDataFlowDebugSessionRequest(msrest.serialization.Model):
    """Request body structure for creating data flow debug session.

    :param data_flow_name: The name of the data flow.
    :type data_flow_name: str
    :param existing_cluster_id: The ID of existing Databricks cluster.
    :type existing_cluster_id: str
    :param cluster_timeout: Timeout setting for Databricks cluster.
    :type cluster_timeout: int
    :param new_cluster_name: The name of new Databricks cluster.
    :type new_cluster_name: str
    :param new_cluster_node_type: The type of new Databricks cluster.
    :type new_cluster_node_type: str
    :param data_bricks_linked_service: Data bricks linked service.
    :type data_bricks_linked_service:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceResource
    """

    _attribute_map = {
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
        'existing_cluster_id': {'key': 'existingClusterId', 'type': 'str'},
        'cluster_timeout': {'key': 'clusterTimeout', 'type': 'int'},
        'new_cluster_name': {'key': 'newClusterName', 'type': 'str'},
        'new_cluster_node_type': {'key': 'newClusterNodeType', 'type': 'str'},
        'data_bricks_linked_service': {'key': 'dataBricksLinkedService', 'type': 'LinkedServiceResource'},
    }

    def __init__(
        self,
        *,
        data_flow_name: Optional[str] = None,
        existing_cluster_id: Optional[str] = None,
        cluster_timeout: Optional[int] = None,
        new_cluster_name: Optional[str] = None,
        new_cluster_node_type: Optional[str] = None,
        data_bricks_linked_service: Optional["LinkedServiceResource"] = None,
        **kwargs
    ):
        super(CreateDataFlowDebugSessionRequest, self).__init__(**kwargs)
        self.data_flow_name = data_flow_name
        self.existing_cluster_id = existing_cluster_id
        self.cluster_timeout = cluster_timeout
        self.new_cluster_name = new_cluster_name
        self.new_cluster_node_type = new_cluster_node_type
        self.data_bricks_linked_service = data_bricks_linked_service


class CreateDataFlowDebugSessionResponse(msrest.serialization.Model):
    """Response body structure for creating data flow debug session.

    :param session_id: The ID of data flow debug session.
    :type session_id: str
    """

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        session_id: Optional[str] = None,
        **kwargs
    ):
        super(CreateDataFlowDebugSessionResponse, self).__init__(**kwargs)
        self.session_id = session_id


class CreateRunResponse(msrest.serialization.Model):
    """Response body with a run identifier.

    All required parameters must be populated in order to send to Azure.

    :param run_id: Required. Identifier of a run.
    :type run_id: str
    """

    _validation = {
        'run_id': {'required': True},
    }

    _attribute_map = {
        'run_id': {'key': 'runId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        run_id: str,
        **kwargs
    ):
        super(CreateRunResponse, self).__init__(**kwargs)
        self.run_id = run_id


class CustomActivity(ExecutionActivity):
    """Custom activity type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param command: Required. Command for custom activity Type: string (or Expression with
     resultType string).
    :type command: any
    :param resource_linked_service: Resource linked service reference.
    :type resource_linked_service:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param folder_path: Folder path for resource files Type: string (or Expression with resultType
     string).
    :type folder_path: any
    :param reference_objects: Reference objects.
    :type reference_objects:
     ~azure.synapse.artifacts.v2020_12_01.models.CustomActivityReferenceObject
    :param extended_properties: User defined property bag. There is no restriction on the keys or
     values that can be used. The user specified custom activity has the full responsibility to
     consume and interpret the content defined.
    :type extended_properties: dict[str, any]
    :param retention_time_in_days: The retention time for the files submitted for custom activity.
     Type: double (or Expression with resultType double).
    :type retention_time_in_days: any
    :param auto_user_specification: Elevation level and scope for the user, default is nonadmin
     task. Type: string (or Expression with resultType double).
    :type auto_user_specification: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'command': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'command': {'key': 'typeProperties.command', 'type': 'object'},
        'resource_linked_service': {'key': 'typeProperties.resourceLinkedService', 'type': 'LinkedServiceReference'},
        'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
        'reference_objects': {'key': 'typeProperties.referenceObjects', 'type': 'CustomActivityReferenceObject'},
        'extended_properties': {'key': 'typeProperties.extendedProperties', 'type': '{object}'},
        'retention_time_in_days': {'key': 'typeProperties.retentionTimeInDays', 'type': 'object'},
        'auto_user_specification': {'key': 'typeProperties.autoUserSpecification', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        command: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        resource_linked_service: Optional["LinkedServiceReference"] = None,
        folder_path: Optional[Any] = None,
        reference_objects: Optional["CustomActivityReferenceObject"] = None,
        extended_properties: Optional[Dict[str, Any]] = None,
        retention_time_in_days: Optional[Any] = None,
        auto_user_specification: Optional[Any] = None,
        **kwargs
    ):
        super(CustomActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'Custom'  # type: str
        self.command = command
        self.resource_linked_service = resource_linked_service
        self.folder_path = folder_path
        self.reference_objects = reference_objects
        self.extended_properties = extended_properties
        self.retention_time_in_days = retention_time_in_days
        self.auto_user_specification = auto_user_specification


class CustomActivityReferenceObject(msrest.serialization.Model):
    """Reference objects for custom activity.

    :param linked_services: Linked service references.
    :type linked_services: list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param datasets: Dataset references.
    :type datasets: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetReference]
    """

    _attribute_map = {
        'linked_services': {'key': 'linkedServices', 'type': '[LinkedServiceReference]'},
        'datasets': {'key': 'datasets', 'type': '[DatasetReference]'},
    }

    def __init__(
        self,
        *,
        linked_services: Optional[List["LinkedServiceReference"]] = None,
        datasets: Optional[List["DatasetReference"]] = None,
        **kwargs
    ):
        super(CustomActivityReferenceObject, self).__init__(**kwargs)
        self.linked_services = linked_services
        self.datasets = datasets


class CustomDataset(Dataset):
    """The custom dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param type_properties: Custom dataset properties.
    :type type_properties: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'type_properties': {'key': 'typeProperties', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        type_properties: Optional[Any] = None,
        **kwargs
    ):
        super(CustomDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'CustomDataset'  # type: str
        self.type_properties = type_properties


class CustomDataSourceLinkedService(LinkedService):
    """Custom linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param type_properties: Required. Custom linked service properties.
    :type type_properties: any
    """

    _validation = {
        'type': {'required': True},
        'type_properties': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'type_properties': {'key': 'typeProperties', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        type_properties: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(CustomDataSourceLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'CustomDataSource'  # type: str
        self.type_properties = type_properties


class CustomerManagedKeyDetails(msrest.serialization.Model):
    """Details of the customer managed key associated with the workspace.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar status: The customer managed key status on the workspace.
    :vartype status: str
    :param key: The key object of the workspace.
    :type key: ~azure.synapse.artifacts.v2020_12_01.models.WorkspaceKeyDetails
    """

    _validation = {
        'status': {'readonly': True},
    }

    _attribute_map = {
        'status': {'key': 'status', 'type': 'str'},
        'key': {'key': 'key', 'type': 'WorkspaceKeyDetails'},
    }

    def __init__(
        self,
        *,
        key: Optional["WorkspaceKeyDetails"] = None,
        **kwargs
    ):
        super(CustomerManagedKeyDetails, self).__init__(**kwargs)
        self.status = None
        self.key = key


class CustomEventsTrigger(MultiplePipelineTrigger):
    """Trigger that runs every time a custom event is received.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipelines: Pipelines that need to be started.
    :type pipelines: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference]
    :param subject_begins_with: The event subject must begin with the pattern provided for trigger
     to fire. At least one of these must be provided: subjectBeginsWith, subjectEndsWith.
    :type subject_begins_with: str
    :param subject_ends_with: The event subject must end with the pattern provided for trigger to
     fire. At least one of these must be provided: subjectBeginsWith, subjectEndsWith.
    :type subject_ends_with: str
    :param events: Required. The list of event types that cause this trigger to fire.
    :type events: list[any]
    :param scope: Required. The ARM resource ID of the Azure Event Grid Topic.
    :type scope: str
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'events': {'required': True},
        'scope': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipelines': {'key': 'pipelines', 'type': '[TriggerPipelineReference]'},
        'subject_begins_with': {'key': 'typeProperties.subjectBeginsWith', 'type': 'str'},
        'subject_ends_with': {'key': 'typeProperties.subjectEndsWith', 'type': 'str'},
        'events': {'key': 'typeProperties.events', 'type': '[object]'},
        'scope': {'key': 'typeProperties.scope', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        events: List[Any],
        scope: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        pipelines: Optional[List["TriggerPipelineReference"]] = None,
        subject_begins_with: Optional[str] = None,
        subject_ends_with: Optional[str] = None,
        **kwargs
    ):
        super(CustomEventsTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, pipelines=pipelines, **kwargs)
        self.type = 'CustomEventsTrigger'  # type: str
        self.subject_begins_with = subject_begins_with
        self.subject_ends_with = subject_ends_with
        self.events = events
        self.scope = scope


class CustomSetupBase(msrest.serialization.Model):
    """The base definition of the custom setup.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: .

    All required parameters must be populated in order to send to Azure.

    :param type: Required. The type of custom setup.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {}
    }

    def __init__(
        self,
        **kwargs
    ):
        super(CustomSetupBase, self).__init__(**kwargs)
        self.type = None  # type: Optional[str]


class DatabricksNotebookActivity(ExecutionActivity):
    """DatabricksNotebook activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param notebook_path: Required. The absolute path of the notebook to be run in the Databricks
     Workspace. This path must begin with a slash. Type: string (or Expression with resultType
     string).
    :type notebook_path: any
    :param base_parameters: Base parameters to be used for each run of this job.If the notebook
     takes a parameter that is not specified, the default value from the notebook will be used.
    :type base_parameters: dict[str, any]
    :param libraries: A list of libraries to be installed on the cluster that will execute the job.
    :type libraries: list[dict[str, any]]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'notebook_path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'notebook_path': {'key': 'typeProperties.notebookPath', 'type': 'object'},
        'base_parameters': {'key': 'typeProperties.baseParameters', 'type': '{object}'},
        'libraries': {'key': 'typeProperties.libraries', 'type': '[{object}]'},
    }

    def __init__(
        self,
        *,
        name: str,
        notebook_path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        base_parameters: Optional[Dict[str, Any]] = None,
        libraries: Optional[List[Dict[str, Any]]] = None,
        **kwargs
    ):
        super(DatabricksNotebookActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'DatabricksNotebook'  # type: str
        self.notebook_path = notebook_path
        self.base_parameters = base_parameters
        self.libraries = libraries


class DatabricksSparkJarActivity(ExecutionActivity):
    """DatabricksSparkJar activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param main_class_name: Required. The full name of the class containing the main method to be
     executed. This class must be contained in a JAR provided as a library. Type: string (or
     Expression with resultType string).
    :type main_class_name: any
    :param parameters: Parameters that will be passed to the main method.
    :type parameters: list[any]
    :param libraries: A list of libraries to be installed on the cluster that will execute the job.
    :type libraries: list[dict[str, any]]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'main_class_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'main_class_name': {'key': 'typeProperties.mainClassName', 'type': 'object'},
        'parameters': {'key': 'typeProperties.parameters', 'type': '[object]'},
        'libraries': {'key': 'typeProperties.libraries', 'type': '[{object}]'},
    }

    def __init__(
        self,
        *,
        name: str,
        main_class_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        parameters: Optional[List[Any]] = None,
        libraries: Optional[List[Dict[str, Any]]] = None,
        **kwargs
    ):
        super(DatabricksSparkJarActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'DatabricksSparkJar'  # type: str
        self.main_class_name = main_class_name
        self.parameters = parameters
        self.libraries = libraries


class DatabricksSparkPythonActivity(ExecutionActivity):
    """DatabricksSparkPython activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param python_file: Required. The URI of the Python file to be executed. DBFS paths are
     supported. Type: string (or Expression with resultType string).
    :type python_file: any
    :param parameters: Command line parameters that will be passed to the Python file.
    :type parameters: list[any]
    :param libraries: A list of libraries to be installed on the cluster that will execute the job.
    :type libraries: list[dict[str, any]]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'python_file': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'python_file': {'key': 'typeProperties.pythonFile', 'type': 'object'},
        'parameters': {'key': 'typeProperties.parameters', 'type': '[object]'},
        'libraries': {'key': 'typeProperties.libraries', 'type': '[{object}]'},
    }

    def __init__(
        self,
        *,
        name: str,
        python_file: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        parameters: Optional[List[Any]] = None,
        libraries: Optional[List[Dict[str, Any]]] = None,
        **kwargs
    ):
        super(DatabricksSparkPythonActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'DatabricksSparkPython'  # type: str
        self.python_file = python_file
        self.parameters = parameters
        self.libraries = libraries


class DataFlow(msrest.serialization.Model):
    """Azure Synapse nested object which contains a flow with data movements and transformations.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: MappingDataFlow.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Type of data flow.Constant filled by server.
    :type type: str
    :param description: The description of the data flow.
    :type description: str
    :param annotations: List of tags that can be used for describing the data flow.
    :type annotations: list[any]
    :param folder: The folder that this data flow is in. If not specified, Data flow will appear at
     the root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowFolder
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DataFlowFolder'},
    }

    _subtype_map = {
        'type': {'MappingDataFlow': 'MappingDataFlow'}
    }

    def __init__(
        self,
        *,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DataFlowFolder"] = None,
        **kwargs
    ):
        super(DataFlow, self).__init__(**kwargs)
        self.type = None  # type: Optional[str]
        self.description = description
        self.annotations = annotations
        self.folder = folder


class DataFlowDebugCommandRequest(msrest.serialization.Model):
    """Request body structure for data flow expression preview.

    All required parameters must be populated in order to send to Azure.

    :param session_id: Required. The ID of data flow debug session.
    :type session_id: str
    :param data_flow_name: The data flow which contains the debug session.
    :type data_flow_name: str
    :param command_name: The command name.
    :type command_name: str
    :param command_payload: Required. The command payload object.
    :type command_payload: any
    """

    _validation = {
        'session_id': {'required': True},
        'command_payload': {'required': True},
    }

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
        'command_name': {'key': 'commandName', 'type': 'str'},
        'command_payload': {'key': 'commandPayload', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        session_id: str,
        command_payload: Any,
        data_flow_name: Optional[str] = None,
        command_name: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowDebugCommandRequest, self).__init__(**kwargs)
        self.session_id = session_id
        self.data_flow_name = data_flow_name
        self.command_name = command_name
        self.command_payload = command_payload


class DataFlowDebugCommandResponse(msrest.serialization.Model):
    """Response body structure of data flow result for data preview, statistics or expression preview.

    :param status: The run status of data preview, statistics or expression preview.
    :type status: str
    :param data: The result data of data preview, statistics or expression preview.
    :type data: str
    """

    _attribute_map = {
        'status': {'key': 'status', 'type': 'str'},
        'data': {'key': 'data', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        status: Optional[str] = None,
        data: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowDebugCommandResponse, self).__init__(**kwargs)
        self.status = status
        self.data = data


class DataFlowDebugPackage(msrest.serialization.Model):
    """Request body structure for starting data flow debug session.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param data_flow: Data flow instance.
    :type data_flow: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowDebugResource
    :param datasets: List of datasets.
    :type datasets: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetDebugResource]
    :param linked_services: List of linked services.
    :type linked_services:
     list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceDebugResource]
    :param staging: Staging info for debug session.
    :type staging: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowStagingInfo
    :param debug_settings: Data flow debug settings.
    :type debug_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.DataFlowDebugPackageDebugSettings
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow': {'key': 'dataFlow', 'type': 'DataFlowDebugResource'},
        'datasets': {'key': 'datasets', 'type': '[DatasetDebugResource]'},
        'linked_services': {'key': 'linkedServices', 'type': '[LinkedServiceDebugResource]'},
        'staging': {'key': 'staging', 'type': 'DataFlowStagingInfo'},
        'debug_settings': {'key': 'debugSettings', 'type': 'DataFlowDebugPackageDebugSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        session_id: Optional[str] = None,
        data_flow: Optional["DataFlowDebugResource"] = None,
        datasets: Optional[List["DatasetDebugResource"]] = None,
        linked_services: Optional[List["LinkedServiceDebugResource"]] = None,
        staging: Optional["DataFlowStagingInfo"] = None,
        debug_settings: Optional["DataFlowDebugPackageDebugSettings"] = None,
        **kwargs
    ):
        super(DataFlowDebugPackage, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.session_id = session_id
        self.data_flow = data_flow
        self.datasets = datasets
        self.linked_services = linked_services
        self.staging = staging
        self.debug_settings = debug_settings


class DataFlowDebugPackageDebugSettings(msrest.serialization.Model):
    """Data flow debug settings.

    :param source_settings: Source setting for data flow debug.
    :type source_settings: list[~azure.synapse.artifacts.v2020_12_01.models.DataFlowSourceSetting]
    :param parameters: Data flow parameters.
    :type parameters: dict[str, any]
    :param dataset_parameters: Parameters for dataset.
    :type dataset_parameters: any
    """

    _attribute_map = {
        'source_settings': {'key': 'sourceSettings', 'type': '[DataFlowSourceSetting]'},
        'parameters': {'key': 'parameters', 'type': '{object}'},
        'dataset_parameters': {'key': 'datasetParameters', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        source_settings: Optional[List["DataFlowSourceSetting"]] = None,
        parameters: Optional[Dict[str, Any]] = None,
        dataset_parameters: Optional[Any] = None,
        **kwargs
    ):
        super(DataFlowDebugPackageDebugSettings, self).__init__(**kwargs)
        self.source_settings = source_settings
        self.parameters = parameters
        self.dataset_parameters = dataset_parameters


class DataFlowDebugPreviewDataRequest(msrest.serialization.Model):
    """Request body structure for data flow preview data.

    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param data_flow_name: The data flow which contains the debug session.
    :type data_flow_name: str
    :param stream_name: The output stream name.
    :type stream_name: str
    :param row_limits: The row limit for preview request.
    :type row_limits: int
    """

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
        'stream_name': {'key': 'streamName', 'type': 'str'},
        'row_limits': {'key': 'rowLimits', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        session_id: Optional[str] = None,
        data_flow_name: Optional[str] = None,
        stream_name: Optional[str] = None,
        row_limits: Optional[int] = None,
        **kwargs
    ):
        super(DataFlowDebugPreviewDataRequest, self).__init__(**kwargs)
        self.session_id = session_id
        self.data_flow_name = data_flow_name
        self.stream_name = stream_name
        self.row_limits = row_limits


class DataFlowDebugQueryResponse(msrest.serialization.Model):
    """Response body structure of data flow query for data preview, statistics or expression preview.

    :param run_id: The run ID of data flow debug session.
    :type run_id: str
    """

    _attribute_map = {
        'run_id': {'key': 'runId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        run_id: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowDebugQueryResponse, self).__init__(**kwargs)
        self.run_id = run_id


class SubResourceDebugResource(msrest.serialization.Model):
    """Azure Synapse nested debug resource.

    :param name: The resource name.
    :type name: str
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        **kwargs
    ):
        super(SubResourceDebugResource, self).__init__(**kwargs)
        self.name = name


class DataFlowDebugResource(SubResourceDebugResource):
    """Data flow debug resource.

    All required parameters must be populated in order to send to Azure.

    :param name: The resource name.
    :type name: str
    :param properties: Required. Data flow properties.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.DataFlow
    """

    _validation = {
        'properties': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'DataFlow'},
    }

    def __init__(
        self,
        *,
        properties: "DataFlow",
        name: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowDebugResource, self).__init__(name=name, **kwargs)
        self.properties = properties


class DataFlowDebugResultResponse(msrest.serialization.Model):
    """Response body structure of data flow result for data preview, statistics or expression preview.

    :param status: The run status of data preview, statistics or expression preview.
    :type status: str
    :param data: The result data of data preview, statistics or expression preview.
    :type data: str
    """

    _attribute_map = {
        'status': {'key': 'status', 'type': 'str'},
        'data': {'key': 'data', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        status: Optional[str] = None,
        data: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowDebugResultResponse, self).__init__(**kwargs)
        self.status = status
        self.data = data


class DataFlowDebugSessionInfo(msrest.serialization.Model):
    """Data flow debug session info.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param data_flow_name: The name of the data flow.
    :type data_flow_name: str
    :param compute_type: Compute type of the cluster.
    :type compute_type: str
    :param core_count: Core count of the cluster.
    :type core_count: int
    :param node_count: Node count of the cluster. (deprecated property).
    :type node_count: int
    :param integration_runtime_name: Attached integration runtime name of data flow debug session.
    :type integration_runtime_name: str
    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param start_time: Start time of data flow debug session.
    :type start_time: str
    :param time_to_live_in_minutes: Compute type of the cluster.
    :type time_to_live_in_minutes: int
    :param last_activity_time: Last activity time of data flow debug session.
    :type last_activity_time: str
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
        'compute_type': {'key': 'computeType', 'type': 'str'},
        'core_count': {'key': 'coreCount', 'type': 'int'},
        'node_count': {'key': 'nodeCount', 'type': 'int'},
        'integration_runtime_name': {'key': 'integrationRuntimeName', 'type': 'str'},
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'start_time': {'key': 'startTime', 'type': 'str'},
        'time_to_live_in_minutes': {'key': 'timeToLiveInMinutes', 'type': 'int'},
        'last_activity_time': {'key': 'lastActivityTime', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        data_flow_name: Optional[str] = None,
        compute_type: Optional[str] = None,
        core_count: Optional[int] = None,
        node_count: Optional[int] = None,
        integration_runtime_name: Optional[str] = None,
        session_id: Optional[str] = None,
        start_time: Optional[str] = None,
        time_to_live_in_minutes: Optional[int] = None,
        last_activity_time: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowDebugSessionInfo, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.data_flow_name = data_flow_name
        self.compute_type = compute_type
        self.core_count = core_count
        self.node_count = node_count
        self.integration_runtime_name = integration_runtime_name
        self.session_id = session_id
        self.start_time = start_time
        self.time_to_live_in_minutes = time_to_live_in_minutes
        self.last_activity_time = last_activity_time


class DataFlowDebugStatisticsRequest(msrest.serialization.Model):
    """Request body structure for data flow statistics.

    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param data_flow_name: The data flow which contains the debug session.
    :type data_flow_name: str
    :param stream_name: The output stream name.
    :type stream_name: str
    :param columns: List of column names.
    :type columns: list[str]
    """

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
        'stream_name': {'key': 'streamName', 'type': 'str'},
        'columns': {'key': 'columns', 'type': '[str]'},
    }

    def __init__(
        self,
        *,
        session_id: Optional[str] = None,
        data_flow_name: Optional[str] = None,
        stream_name: Optional[str] = None,
        columns: Optional[List[str]] = None,
        **kwargs
    ):
        super(DataFlowDebugStatisticsRequest, self).__init__(**kwargs)
        self.session_id = session_id
        self.data_flow_name = data_flow_name
        self.stream_name = stream_name
        self.columns = columns


class DataFlowFolder(msrest.serialization.Model):
    """The folder that this data flow is in. If not specified, Data flow will appear at the root level.

    :param name: The name of the folder that this data flow is in.
    :type name: str
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowFolder, self).__init__(**kwargs)
        self.name = name


class DataFlowListResponse(msrest.serialization.Model):
    """A list of data flow resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of data flows.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.DataFlowResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[DataFlowResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["DataFlowResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class DataFlowReference(msrest.serialization.Model):
    """Data flow reference type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Data flow reference type. Possible values include: "DataFlowReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.DataFlowReferenceType
    :param reference_name: Required. Reference data flow name.
    :type reference_name: str
    :param dataset_parameters: Reference data flow parameters from dataset.
    :type dataset_parameters: any
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
        'dataset_parameters': {'key': 'datasetParameters', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "DataFlowReferenceType"],
        reference_name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        dataset_parameters: Optional[Any] = None,
        **kwargs
    ):
        super(DataFlowReference, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = type
        self.reference_name = reference_name
        self.dataset_parameters = dataset_parameters


class SubResource(AzureEntityResource):
    """Azure Synapse nested resource, which belongs to a workspace.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(SubResource, self).__init__(**kwargs)


class DataFlowResource(SubResource):
    """Data flow resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Data flow properties.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.DataFlow
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'DataFlow'},
    }

    def __init__(
        self,
        *,
        properties: "DataFlow",
        **kwargs
    ):
        super(DataFlowResource, self).__init__(**kwargs)
        self.properties = properties


class Transformation(msrest.serialization.Model):
    """A data flow transformation.

    All required parameters must be populated in order to send to Azure.

    :param name: Required. Transformation name.
    :type name: str
    :param description: Transformation description.
    :type description: str
    """

    _validation = {
        'name': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: str,
        description: Optional[str] = None,
        **kwargs
    ):
        super(Transformation, self).__init__(**kwargs)
        self.name = name
        self.description = description


class DataFlowSink(Transformation):
    """Transformation for data flow sink.

    All required parameters must be populated in order to send to Azure.

    :param name: Required. Transformation name.
    :type name: str
    :param description: Transformation description.
    :type description: str
    :param dataset: Dataset reference.
    :type dataset: ~azure.synapse.artifacts.v2020_12_01.models.DatasetReference
    :param linked_service: Linked service reference.
    :type linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param schema_linked_service: Schema linked service reference.
    :type schema_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    """

    _validation = {
        'name': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'dataset': {'key': 'dataset', 'type': 'DatasetReference'},
        'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
        'schema_linked_service': {'key': 'schemaLinkedService', 'type': 'LinkedServiceReference'},
    }

    def __init__(
        self,
        *,
        name: str,
        description: Optional[str] = None,
        dataset: Optional["DatasetReference"] = None,
        linked_service: Optional["LinkedServiceReference"] = None,
        schema_linked_service: Optional["LinkedServiceReference"] = None,
        **kwargs
    ):
        super(DataFlowSink, self).__init__(name=name, description=description, **kwargs)
        self.dataset = dataset
        self.linked_service = linked_service
        self.schema_linked_service = schema_linked_service


class DataFlowSource(Transformation):
    """Transformation for data flow source.

    All required parameters must be populated in order to send to Azure.

    :param name: Required. Transformation name.
    :type name: str
    :param description: Transformation description.
    :type description: str
    :param dataset: Dataset reference.
    :type dataset: ~azure.synapse.artifacts.v2020_12_01.models.DatasetReference
    :param linked_service: Linked service reference.
    :type linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param schema_linked_service: Schema linked service reference.
    :type schema_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    """

    _validation = {
        'name': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'dataset': {'key': 'dataset', 'type': 'DatasetReference'},
        'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
        'schema_linked_service': {'key': 'schemaLinkedService', 'type': 'LinkedServiceReference'},
    }

    def __init__(
        self,
        *,
        name: str,
        description: Optional[str] = None,
        dataset: Optional["DatasetReference"] = None,
        linked_service: Optional["LinkedServiceReference"] = None,
        schema_linked_service: Optional["LinkedServiceReference"] = None,
        **kwargs
    ):
        super(DataFlowSource, self).__init__(name=name, description=description, **kwargs)
        self.dataset = dataset
        self.linked_service = linked_service
        self.schema_linked_service = schema_linked_service


class DataFlowSourceSetting(msrest.serialization.Model):
    """Definition of data flow source setting for debug.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param source_name: The data flow source name.
    :type source_name: str
    :param row_limit: Defines the row limit of data flow source in debug.
    :type row_limit: int
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'source_name': {'key': 'sourceName', 'type': 'str'},
        'row_limit': {'key': 'rowLimit', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_name: Optional[str] = None,
        row_limit: Optional[int] = None,
        **kwargs
    ):
        super(DataFlowSourceSetting, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.source_name = source_name
        self.row_limit = row_limit


class DataFlowStagingInfo(msrest.serialization.Model):
    """Staging info for execute data flow activity.

    :param linked_service: Staging linked service reference.
    :type linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param folder_path: Folder path for staging blob.
    :type folder_path: str
    """

    _attribute_map = {
        'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
        'folder_path': {'key': 'folderPath', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        linked_service: Optional["LinkedServiceReference"] = None,
        folder_path: Optional[str] = None,
        **kwargs
    ):
        super(DataFlowStagingInfo, self).__init__(**kwargs)
        self.linked_service = linked_service
        self.folder_path = folder_path


class DataLakeAnalyticsUSQLActivity(ExecutionActivity):
    """Data Lake Analytics U-SQL activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param script_path: Required. Case-sensitive path to folder that contains the U-SQL script.
     Type: string (or Expression with resultType string).
    :type script_path: any
    :param script_linked_service: Required. Script linked service reference.
    :type script_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param degree_of_parallelism: The maximum number of nodes simultaneously used to run the job.
     Default value is 1. Type: integer (or Expression with resultType integer), minimum: 1.
    :type degree_of_parallelism: any
    :param priority: Determines which jobs out of all that are queued should be selected to run
     first. The lower the number, the higher the priority. Default value is 1000. Type: integer (or
     Expression with resultType integer), minimum: 1.
    :type priority: any
    :param parameters: Parameters for U-SQL job request.
    :type parameters: dict[str, any]
    :param runtime_version: Runtime version of the U-SQL engine to use. Type: string (or Expression
     with resultType string).
    :type runtime_version: any
    :param compilation_mode: Compilation mode of U-SQL. Must be one of these values : Semantic,
     Full and SingleBox. Type: string (or Expression with resultType string).
    :type compilation_mode: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'script_path': {'required': True},
        'script_linked_service': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'script_path': {'key': 'typeProperties.scriptPath', 'type': 'object'},
        'script_linked_service': {'key': 'typeProperties.scriptLinkedService', 'type': 'LinkedServiceReference'},
        'degree_of_parallelism': {'key': 'typeProperties.degreeOfParallelism', 'type': 'object'},
        'priority': {'key': 'typeProperties.priority', 'type': 'object'},
        'parameters': {'key': 'typeProperties.parameters', 'type': '{object}'},
        'runtime_version': {'key': 'typeProperties.runtimeVersion', 'type': 'object'},
        'compilation_mode': {'key': 'typeProperties.compilationMode', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        script_path: Any,
        script_linked_service: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        degree_of_parallelism: Optional[Any] = None,
        priority: Optional[Any] = None,
        parameters: Optional[Dict[str, Any]] = None,
        runtime_version: Optional[Any] = None,
        compilation_mode: Optional[Any] = None,
        **kwargs
    ):
        super(DataLakeAnalyticsUSQLActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'DataLakeAnalyticsU-SQL'  # type: str
        self.script_path = script_path
        self.script_linked_service = script_linked_service
        self.degree_of_parallelism = degree_of_parallelism
        self.priority = priority
        self.parameters = parameters
        self.runtime_version = runtime_version
        self.compilation_mode = compilation_mode


class DataLakeStorageAccountDetails(msrest.serialization.Model):
    """Details of the data lake storage account associated with the workspace.

    :param account_url: Account URL.
    :type account_url: str
    :param filesystem: Filesystem name.
    :type filesystem: str
    """

    _attribute_map = {
        'account_url': {'key': 'accountUrl', 'type': 'str'},
        'filesystem': {'key': 'filesystem', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        account_url: Optional[str] = None,
        filesystem: Optional[str] = None,
        **kwargs
    ):
        super(DataLakeStorageAccountDetails, self).__init__(**kwargs)
        self.account_url = account_url
        self.filesystem = filesystem


class DatasetCompression(msrest.serialization.Model):
    """The compression method used on a dataset.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: DatasetBZip2Compression, DatasetDeflateCompression, DatasetGZipCompression, DatasetTarCompression, DatasetTarGZipCompression, DatasetZipDeflateCompression.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
    }

    _subtype_map = {
        'type': {'BZip2': 'DatasetBZip2Compression', 'Deflate': 'DatasetDeflateCompression', 'GZip': 'DatasetGZipCompression', 'Tar': 'DatasetTarCompression', 'TarGZip': 'DatasetTarGZipCompression', 'ZipDeflate': 'DatasetZipDeflateCompression'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(DatasetCompression, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'DatasetCompression'  # type: str


class DatasetBZip2Compression(DatasetCompression):
    """The BZip2 compression method used on a dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(DatasetBZip2Compression, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'BZip2'  # type: str


class DatasetDataElement(msrest.serialization.Model):
    """Columns that define the structure of the dataset.

    :param name: Name of the column. Type: string (or Expression with resultType string).
    :type name: any
    :param type: Type of the column. Type: string (or Expression with resultType string).
    :type type: any
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'object'},
        'type': {'key': 'type', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: Optional[Any] = None,
        type: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetDataElement, self).__init__(**kwargs)
        self.name = name
        self.type = type


class DatasetDebugResource(SubResourceDebugResource):
    """Dataset debug resource.

    All required parameters must be populated in order to send to Azure.

    :param name: The resource name.
    :type name: str
    :param properties: Required. Dataset properties.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.Dataset
    """

    _validation = {
        'properties': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'Dataset'},
    }

    def __init__(
        self,
        *,
        properties: "Dataset",
        name: Optional[str] = None,
        **kwargs
    ):
        super(DatasetDebugResource, self).__init__(name=name, **kwargs)
        self.properties = properties


class DatasetDeflateCompression(DatasetCompression):
    """The Deflate compression method used on a dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    :param level: The Deflate compression level.
    :type level: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
        'level': {'key': 'level', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        level: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetDeflateCompression, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'Deflate'  # type: str
        self.level = level


class DatasetFolder(msrest.serialization.Model):
    """The folder that this Dataset is in. If not specified, Dataset will appear at the root level.

    :param name: The name of the folder that this Dataset is in.
    :type name: str
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        **kwargs
    ):
        super(DatasetFolder, self).__init__(**kwargs)
        self.name = name


class DatasetGZipCompression(DatasetCompression):
    """The GZip compression method used on a dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    :param level: The GZip compression level.
    :type level: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
        'level': {'key': 'level', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        level: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetGZipCompression, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'GZip'  # type: str
        self.level = level


class DatasetListResponse(msrest.serialization.Model):
    """A list of dataset resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of datasets.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[DatasetResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["DatasetResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(DatasetListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class DatasetReference(msrest.serialization.Model):
    """Dataset reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Dataset reference type. Possible values include: "DatasetReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.DatasetReferenceType
    :param reference_name: Required. Reference dataset name.
    :type reference_name: str
    :param parameters: Arguments for dataset.
    :type parameters: dict[str, any]
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "DatasetReferenceType"],
        reference_name: str,
        parameters: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(DatasetReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name
        self.parameters = parameters


class DatasetResource(SubResource):
    """Dataset resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Dataset properties.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.Dataset
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'Dataset'},
    }

    def __init__(
        self,
        *,
        properties: "Dataset",
        **kwargs
    ):
        super(DatasetResource, self).__init__(**kwargs)
        self.properties = properties


class DatasetSchemaDataElement(msrest.serialization.Model):
    """Columns that define the physical type schema of the dataset.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Name of the schema column. Type: string (or Expression with resultType string).
    :type name: any
    :param type: Type of the schema column. Type: string (or Expression with resultType string).
    :type type: any
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'object'},
        'type': {'key': 'type', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        name: Optional[Any] = None,
        type: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetSchemaDataElement, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.name = name
        self.type = type


class DatasetTarCompression(DatasetCompression):
    """The Tar archive method used on a dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(DatasetTarCompression, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'Tar'  # type: str


class DatasetTarGZipCompression(DatasetCompression):
    """The TarGZip compression method used on a dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    :param level: The TarGZip compression level.
    :type level: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
        'level': {'key': 'level', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        level: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetTarGZipCompression, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'TarGZip'  # type: str
        self.level = level


class DatasetZipDeflateCompression(DatasetCompression):
    """The ZipDeflate compression method used on a dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset compression. Type: string (or Expression with resultType
     string).Constant filled by server.
    :type type: any
    :param level: The ZipDeflate compression level.
    :type level: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'object'},
        'level': {'key': 'level', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        level: Optional[Any] = None,
        **kwargs
    ):
        super(DatasetZipDeflateCompression, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'ZipDeflate'  # type: str
        self.level = level


class Db2LinkedService(LinkedService):
    """Linked service for DB2 data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: The connection string. It is mutually exclusive with server,
     database, authenticationType, userName, packageCollection and certificateCommonName property.
     Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param server: Required. Server name for connection. It is mutually exclusive with
     connectionString property. Type: string (or Expression with resultType string).
    :type server: any
    :param database: Required. Database name for connection. It is mutually exclusive with
     connectionString property. Type: string (or Expression with resultType string).
    :type database: any
    :param authentication_type: AuthenticationType to be used for connection. It is mutually
     exclusive with connectionString property. Possible values include: "Basic".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.Db2AuthenticationType
    :param username: Username for authentication. It is mutually exclusive with connectionString
     property. Type: string (or Expression with resultType string).
    :type username: any
    :param password: Password for authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param package_collection: Under where packages are created when querying database. It is
     mutually exclusive with connectionString property. Type: string (or Expression with resultType
     string).
    :type package_collection: any
    :param certificate_common_name: Certificate Common Name when TLS is enabled. It is mutually
     exclusive with connectionString property. Type: string (or Expression with resultType string).
    :type certificate_common_name: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. It is mutually exclusive with
     connectionString property. Type: string (or Expression with resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
        'database': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'package_collection': {'key': 'typeProperties.packageCollection', 'type': 'object'},
        'certificate_common_name': {'key': 'typeProperties.certificateCommonName', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        database: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        authentication_type: Optional[Union[str, "Db2AuthenticationType"]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        package_collection: Optional[Any] = None,
        certificate_common_name: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(Db2LinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Db2'  # type: str
        self.connection_string = connection_string
        self.server = server
        self.database = database
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.package_collection = package_collection
        self.certificate_common_name = certificate_common_name
        self.encrypted_credential = encrypted_credential


class Db2Source(TabularSource):
    """A copy activity source for Db2 databases.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(Db2Source, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'Db2Source'  # type: str
        self.query = query


class Db2TableDataset(Dataset):
    """The Db2 table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param schema_type_properties_schema: The Db2 schema name. Type: string (or Expression with
     resultType string).
    :type schema_type_properties_schema: any
    :param table: The Db2 table name. Type: string (or Expression with resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(Db2TableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Db2Table'  # type: str
        self.table_name = table_name
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class DeleteActivity(ExecutionActivity):
    """Delete activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param recursive: If true, files or sub-folders under current folder path will be deleted
     recursively. Default is false. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param max_concurrent_connections: The max concurrent connections to connect data source at the
     same time.
    :type max_concurrent_connections: int
    :param enable_logging: Whether to record detailed logs of delete-activity execution. Default
     value is false. Type: boolean (or Expression with resultType boolean).
    :type enable_logging: any
    :param log_storage_settings: Log storage settings customer need to provide when enableLogging
     is true.
    :type log_storage_settings: ~azure.synapse.artifacts.v2020_12_01.models.LogStorageSettings
    :param dataset: Required. Delete activity dataset reference.
    :type dataset: ~azure.synapse.artifacts.v2020_12_01.models.DatasetReference
    :param store_settings: Delete activity store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'max_concurrent_connections': {'minimum': 1},
        'dataset': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'recursive': {'key': 'typeProperties.recursive', 'type': 'object'},
        'max_concurrent_connections': {'key': 'typeProperties.maxConcurrentConnections', 'type': 'int'},
        'enable_logging': {'key': 'typeProperties.enableLogging', 'type': 'object'},
        'log_storage_settings': {'key': 'typeProperties.logStorageSettings', 'type': 'LogStorageSettings'},
        'dataset': {'key': 'typeProperties.dataset', 'type': 'DatasetReference'},
        'store_settings': {'key': 'typeProperties.storeSettings', 'type': 'StoreReadSettings'},
    }

    def __init__(
        self,
        *,
        name: str,
        dataset: "DatasetReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        recursive: Optional[Any] = None,
        max_concurrent_connections: Optional[int] = None,
        enable_logging: Optional[Any] = None,
        log_storage_settings: Optional["LogStorageSettings"] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        **kwargs
    ):
        super(DeleteActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'Delete'  # type: str
        self.recursive = recursive
        self.max_concurrent_connections = max_concurrent_connections
        self.enable_logging = enable_logging
        self.log_storage_settings = log_storage_settings
        self.dataset = dataset
        self.store_settings = store_settings


class DeleteDataFlowDebugSessionRequest(msrest.serialization.Model):
    """Request body structure for deleting data flow debug session.

    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param data_flow_name: The data flow which contains the debug session.
    :type data_flow_name: str
    """

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        session_id: Optional[str] = None,
        data_flow_name: Optional[str] = None,
        **kwargs
    ):
        super(DeleteDataFlowDebugSessionRequest, self).__init__(**kwargs)
        self.session_id = session_id
        self.data_flow_name = data_flow_name


class DelimitedTextDataset(Dataset):
    """Delimited text dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the delimited text storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param column_delimiter: The column delimiter. Type: string (or Expression with resultType
     string).
    :type column_delimiter: any
    :param row_delimiter: The row delimiter. Type: string (or Expression with resultType string).
    :type row_delimiter: any
    :param encoding_name: The code page name of the preferred encoding. If miss, the default value
     is UTF-8, unless BOM denotes another Unicode encoding. Refer to the name column of the table in
     the following link to set supported values:
     https://msdn.microsoft.com/library/system.text.encoding.aspx. Type: string (or Expression with
     resultType string).
    :type encoding_name: any
    :param compression_codec:  Possible values include: "bzip2", "gzip", "deflate", "zipDeflate",
     "snappy", "lz4", "tar", "tarGZip".
    :type compression_codec: str or ~azure.synapse.artifacts.v2020_12_01.models.CompressionCodec
    :param compression_level: The data compression method used for DelimitedText.
    :type compression_level: any
    :param quote_char: The quote character. Type: string (or Expression with resultType string).
    :type quote_char: any
    :param escape_char: The escape character. Type: string (or Expression with resultType string).
    :type escape_char: any
    :param first_row_as_header: When used as input, treat the first row of data as headers. When
     used as output,write the headers into the output as the first row of data. The default value is
     false. Type: boolean (or Expression with resultType boolean).
    :type first_row_as_header: any
    :param null_value: The null value string. Type: string (or Expression with resultType string).
    :type null_value: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'column_delimiter': {'key': 'typeProperties.columnDelimiter', 'type': 'object'},
        'row_delimiter': {'key': 'typeProperties.rowDelimiter', 'type': 'object'},
        'encoding_name': {'key': 'typeProperties.encodingName', 'type': 'object'},
        'compression_codec': {'key': 'typeProperties.compressionCodec', 'type': 'str'},
        'compression_level': {'key': 'typeProperties.compressionLevel', 'type': 'object'},
        'quote_char': {'key': 'typeProperties.quoteChar', 'type': 'object'},
        'escape_char': {'key': 'typeProperties.escapeChar', 'type': 'object'},
        'first_row_as_header': {'key': 'typeProperties.firstRowAsHeader', 'type': 'object'},
        'null_value': {'key': 'typeProperties.nullValue', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        column_delimiter: Optional[Any] = None,
        row_delimiter: Optional[Any] = None,
        encoding_name: Optional[Any] = None,
        compression_codec: Optional[Union[str, "CompressionCodec"]] = None,
        compression_level: Optional[Any] = None,
        quote_char: Optional[Any] = None,
        escape_char: Optional[Any] = None,
        first_row_as_header: Optional[Any] = None,
        null_value: Optional[Any] = None,
        **kwargs
    ):
        super(DelimitedTextDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'DelimitedText'  # type: str
        self.location = location
        self.column_delimiter = column_delimiter
        self.row_delimiter = row_delimiter
        self.encoding_name = encoding_name
        self.compression_codec = compression_codec
        self.compression_level = compression_level
        self.quote_char = quote_char
        self.escape_char = escape_char
        self.first_row_as_header = first_row_as_header
        self.null_value = null_value


class DelimitedTextReadSettings(FormatReadSettings):
    """Delimited text read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param skip_line_count: Indicates the number of non-empty rows to skip when reading data from
     input files. Type: integer (or Expression with resultType integer).
    :type skip_line_count: any
    :param compression_properties: Compression settings.
    :type compression_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.CompressionReadSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'skip_line_count': {'key': 'skipLineCount', 'type': 'object'},
        'compression_properties': {'key': 'compressionProperties', 'type': 'CompressionReadSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        skip_line_count: Optional[Any] = None,
        compression_properties: Optional["CompressionReadSettings"] = None,
        **kwargs
    ):
        super(DelimitedTextReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'DelimitedTextReadSettings'  # type: str
        self.skip_line_count = skip_line_count
        self.compression_properties = compression_properties


class DelimitedTextSink(CopySink):
    """A copy activity DelimitedText sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: DelimitedText store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreWriteSettings
    :param format_settings: DelimitedText format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.DelimitedTextWriteSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreWriteSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'DelimitedTextWriteSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreWriteSettings"] = None,
        format_settings: Optional["DelimitedTextWriteSettings"] = None,
        **kwargs
    ):
        super(DelimitedTextSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DelimitedTextSink'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings


class DelimitedTextSource(CopySource):
    """A copy activity DelimitedText source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: DelimitedText store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param format_settings: DelimitedText format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.DelimitedTextReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'DelimitedTextReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        format_settings: Optional["DelimitedTextReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(DelimitedTextSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DelimitedTextSource'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings
        self.additional_columns = additional_columns


class DelimitedTextWriteSettings(FormatWriteSettings):
    """Delimited text write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param quote_all_text: Indicates whether string values should always be enclosed with quotes.
     Type: boolean (or Expression with resultType boolean).
    :type quote_all_text: any
    :param file_extension: Required. The file extension used to create the files. Type: string (or
     Expression with resultType string).
    :type file_extension: any
    :param max_rows_per_file: Limit the written file's row count to be smaller than or equal to the
     specified count. Type: integer (or Expression with resultType integer).
    :type max_rows_per_file: any
    :param file_name_prefix: Specifies the file name pattern
     :code:`<fileNamePrefix>`_:code:`<fileIndex>`.:code:`<fileExtension>` when copy from non-file
     based store without partitionOptions. Type: string (or Expression with resultType string).
    :type file_name_prefix: any
    """

    _validation = {
        'type': {'required': True},
        'file_extension': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'quote_all_text': {'key': 'quoteAllText', 'type': 'object'},
        'file_extension': {'key': 'fileExtension', 'type': 'object'},
        'max_rows_per_file': {'key': 'maxRowsPerFile', 'type': 'object'},
        'file_name_prefix': {'key': 'fileNamePrefix', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        file_extension: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        quote_all_text: Optional[Any] = None,
        max_rows_per_file: Optional[Any] = None,
        file_name_prefix: Optional[Any] = None,
        **kwargs
    ):
        super(DelimitedTextWriteSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'DelimitedTextWriteSettings'  # type: str
        self.quote_all_text = quote_all_text
        self.file_extension = file_extension
        self.max_rows_per_file = max_rows_per_file
        self.file_name_prefix = file_name_prefix


class DependencyReference(msrest.serialization.Model):
    """Referenced dependency.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: SelfDependencyTumblingWindowTriggerReference, TriggerDependencyReference.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. The type of dependency reference.Constant filled by server.
    :type type: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'SelfDependencyTumblingWindowTriggerReference': 'SelfDependencyTumblingWindowTriggerReference', 'TriggerDependencyReference': 'TriggerDependencyReference'}
    }

    def __init__(
        self,
        **kwargs
    ):
        super(DependencyReference, self).__init__(**kwargs)
        self.type = None  # type: Optional[str]


class DistcpSettings(msrest.serialization.Model):
    """Distcp settings.

    All required parameters must be populated in order to send to Azure.

    :param resource_manager_endpoint: Required. Specifies the Yarn ResourceManager endpoint. Type:
     string (or Expression with resultType string).
    :type resource_manager_endpoint: any
    :param temp_script_path: Required. Specifies an existing folder path which will be used to
     store temp Distcp command script. The script file is generated by ADF and will be removed after
     Copy job finished. Type: string (or Expression with resultType string).
    :type temp_script_path: any
    :param distcp_options: Specifies the Distcp options. Type: string (or Expression with
     resultType string).
    :type distcp_options: any
    """

    _validation = {
        'resource_manager_endpoint': {'required': True},
        'temp_script_path': {'required': True},
    }

    _attribute_map = {
        'resource_manager_endpoint': {'key': 'resourceManagerEndpoint', 'type': 'object'},
        'temp_script_path': {'key': 'tempScriptPath', 'type': 'object'},
        'distcp_options': {'key': 'distcpOptions', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        resource_manager_endpoint: Any,
        temp_script_path: Any,
        distcp_options: Optional[Any] = None,
        **kwargs
    ):
        super(DistcpSettings, self).__init__(**kwargs)
        self.resource_manager_endpoint = resource_manager_endpoint
        self.temp_script_path = temp_script_path
        self.distcp_options = distcp_options


class DocumentDbCollectionDataset(Dataset):
    """Microsoft Azure Document Database Collection dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param collection_name: Required. Document Database collection name. Type: string (or
     Expression with resultType string).
    :type collection_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'collection_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'collection_name': {'key': 'typeProperties.collectionName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        collection_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(DocumentDbCollectionDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'DocumentDbCollection'  # type: str
        self.collection_name = collection_name


class DocumentDbCollectionSink(CopySink):
    """A copy activity Document Database Collection sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param nesting_separator: Nested properties separator. Default is . (dot). Type: string (or
     Expression with resultType string).
    :type nesting_separator: any
    :param write_behavior: Describes how to write data to Azure Cosmos DB. Type: string (or
     Expression with resultType string). Allowed values: insert and upsert.
    :type write_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'nesting_separator': {'key': 'nestingSeparator', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        nesting_separator: Optional[Any] = None,
        write_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(DocumentDbCollectionSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DocumentDbCollectionSink'  # type: str
        self.nesting_separator = nesting_separator
        self.write_behavior = write_behavior


class DocumentDbCollectionSource(CopySource):
    """A copy activity Document Database Collection source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Documents query. Type: string (or Expression with resultType string).
    :type query: any
    :param nesting_separator: Nested properties separator. Type: string (or Expression with
     resultType string).
    :type nesting_separator: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'nesting_separator': {'key': 'nestingSeparator', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        nesting_separator: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(DocumentDbCollectionSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DocumentDbCollectionSource'  # type: str
        self.query = query
        self.nesting_separator = nesting_separator
        self.query_timeout = query_timeout
        self.additional_columns = additional_columns


class DrillLinkedService(LinkedService):
    """Drill server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param pwd: The Azure key vault secret reference of password in connection string.
    :type pwd: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'pwd': {'key': 'typeProperties.pwd', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        pwd: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(DrillLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Drill'  # type: str
        self.connection_string = connection_string
        self.pwd = pwd
        self.encrypted_credential = encrypted_credential


class DrillSource(TabularSource):
    """A copy activity Drill server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(DrillSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'DrillSource'  # type: str
        self.query = query


class DrillTableDataset(Dataset):
    """Drill server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Drill. Type: string (or Expression with resultType string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Drill. Type: string (or Expression
     with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(DrillTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'DrillTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class DWCopyCommandDefaultValue(msrest.serialization.Model):
    """Default value.

    :param column_name: Column name. Type: object (or Expression with resultType string).
    :type column_name: any
    :param default_value: The default value of the column. Type: object (or Expression with
     resultType string).
    :type default_value: any
    """

    _attribute_map = {
        'column_name': {'key': 'columnName', 'type': 'object'},
        'default_value': {'key': 'defaultValue', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        column_name: Optional[Any] = None,
        default_value: Optional[Any] = None,
        **kwargs
    ):
        super(DWCopyCommandDefaultValue, self).__init__(**kwargs)
        self.column_name = column_name
        self.default_value = default_value


class DWCopyCommandSettings(msrest.serialization.Model):
    """DW Copy Command settings.

    :param default_values: Specifies the default values for each target column in SQL DW. The
     default values in the property overwrite the DEFAULT constraint set in the DB, and identity
     column cannot have a default value. Type: array of objects (or Expression with resultType array
     of objects).
    :type default_values:
     list[~azure.synapse.artifacts.v2020_12_01.models.DWCopyCommandDefaultValue]
    :param additional_options: Additional options directly passed to SQL DW in Copy Command. Type:
     key value pairs (value should be string type) (or Expression with resultType object). Example:
     "additionalOptions": { "MAXERRORS": "1000", "DATEFORMAT": "'ymd'" }.
    :type additional_options: dict[str, str]
    """

    _attribute_map = {
        'default_values': {'key': 'defaultValues', 'type': '[DWCopyCommandDefaultValue]'},
        'additional_options': {'key': 'additionalOptions', 'type': '{str}'},
    }

    def __init__(
        self,
        *,
        default_values: Optional[List["DWCopyCommandDefaultValue"]] = None,
        additional_options: Optional[Dict[str, str]] = None,
        **kwargs
    ):
        super(DWCopyCommandSettings, self).__init__(**kwargs)
        self.default_values = default_values
        self.additional_options = additional_options


class DynamicExecutorAllocation(msrest.serialization.Model):
    """Dynamic Executor Allocation Properties.

    :param enabled: Indicates whether Dynamic Executor Allocation is enabled or not.
    :type enabled: bool
    """

    _attribute_map = {
        'enabled': {'key': 'enabled', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        enabled: Optional[bool] = None,
        **kwargs
    ):
        super(DynamicExecutorAllocation, self).__init__(**kwargs)
        self.enabled = enabled


class DynamicsAXLinkedService(LinkedService):
    """Dynamics AX linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The Dynamics AX (or Dynamics 365 Finance and Operations) instance OData
     endpoint.
    :type url: any
    :param service_principal_id: Required. Specify the application's client ID. Type: string (or
     Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: Required. Specify the application's key. Mark this field as a
     SecureString to store it securely in Data Factory, or reference a secret stored in Azure Key
     Vault. Type: string (or Expression with resultType string).
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: Required. Specify the tenant information (domain name or tenant ID) under which
     your application resides. Retrieve it by hovering the mouse in the top-right corner of the
     Azure portal. Type: string (or Expression with resultType string).
    :type tenant: any
    :param aad_resource_id: Required. Specify the resource you are requesting authorization. Type:
     string (or Expression with resultType string).
    :type aad_resource_id: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
        'service_principal_id': {'required': True},
        'service_principal_key': {'required': True},
        'tenant': {'required': True},
        'aad_resource_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'aad_resource_id': {'key': 'typeProperties.aadResourceId', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        service_principal_id: Any,
        service_principal_key: "SecretBase",
        tenant: Any,
        aad_resource_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsAXLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'DynamicsAX'  # type: str
        self.url = url
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.aad_resource_id = aad_resource_id
        self.encrypted_credential = encrypted_credential


class DynamicsAXResourceDataset(Dataset):
    """The path of the Dynamics AX OData entity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param path: Required. The path of the Dynamics AX OData entity. Type: string (or Expression
     with resultType string).
    :type path: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'path': {'key': 'typeProperties.path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(DynamicsAXResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'DynamicsAXResource'  # type: str
        self.path = path


class DynamicsAXSource(TabularSource):
    """A copy activity Dynamics AX source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:05:00. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsAXSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'DynamicsAXSource'  # type: str
        self.query = query
        self.http_request_timeout = http_request_timeout


class DynamicsCrmEntityDataset(Dataset):
    """The Dynamics CRM entity dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param entity_name: The logical name of the entity. Type: string (or Expression with resultType
     string).
    :type entity_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'entity_name': {'key': 'typeProperties.entityName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        entity_name: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsCrmEntityDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'DynamicsCrmEntity'  # type: str
        self.entity_name = entity_name


class DynamicsCrmLinkedService(LinkedService):
    """Dynamics CRM linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param deployment_type: Required. The deployment type of the Dynamics CRM instance. 'Online'
     for Dynamics CRM Online and 'OnPremisesWithIfd' for Dynamics CRM on-premises with Ifd. Type:
     string (or Expression with resultType string). Possible values include: "Online",
     "OnPremisesWithIfd".
    :type deployment_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsDeploymentType
    :param host_name: The host name of the on-premises Dynamics CRM server. The property is
     required for on-prem and not allowed for online. Type: string (or Expression with resultType
     string).
    :type host_name: any
    :param port: The port of on-premises Dynamics CRM server. The property is required for on-prem
     and not allowed for online. Default is 443. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type port: any
    :param service_uri: The URL to the Microsoft Dynamics CRM server. The property is required for
     on-line and not allowed for on-prem. Type: string (or Expression with resultType string).
    :type service_uri: any
    :param organization_name: The organization name of the Dynamics CRM instance. The property is
     required for on-prem and required for online when there are more than one Dynamics CRM
     instances associated with the user. Type: string (or Expression with resultType string).
    :type organization_name: any
    :param authentication_type: Required. The authentication type to connect to Dynamics CRM
     server. 'Office365' for online scenario, 'Ifd' for on-premises with Ifd scenario,
     'AADServicePrincipal' for Server-To-Server authentication in online scenario. Type: string (or
     Expression with resultType string). Possible values include: "Office365", "Ifd",
     "AADServicePrincipal".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsAuthenticationType
    :param username: User name to access the Dynamics CRM instance. Type: string (or Expression
     with resultType string).
    :type username: any
    :param password: Password to access the Dynamics CRM instance.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_principal_id: The client ID of the application in Azure Active Directory used
     for Server-To-Server authentication. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_credential_type: A string from ServicePrincipalCredentialEnum or an
     expression.
    :type service_principal_credential_type: any
    :param service_principal_credential: The credential of the service principal object in Azure
     Active Directory. If servicePrincipalCredentialType is 'ServicePrincipalKey',
     servicePrincipalCredential can be SecureString or AzureKeyVaultSecretReference. If
     servicePrincipalCredentialType is 'ServicePrincipalCert', servicePrincipalCredential can only
     be AzureKeyVaultSecretReference.
    :type service_principal_credential: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'deployment_type': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'deployment_type': {'key': 'typeProperties.deploymentType', 'type': 'str'},
        'host_name': {'key': 'typeProperties.hostName', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'service_uri': {'key': 'typeProperties.serviceUri', 'type': 'object'},
        'organization_name': {'key': 'typeProperties.organizationName', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_credential_type': {'key': 'typeProperties.servicePrincipalCredentialType', 'type': 'object'},
        'service_principal_credential': {'key': 'typeProperties.servicePrincipalCredential', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        deployment_type: Union[str, "DynamicsDeploymentType"],
        authentication_type: Union[str, "DynamicsAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        host_name: Optional[Any] = None,
        port: Optional[Any] = None,
        service_uri: Optional[Any] = None,
        organization_name: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_credential_type: Optional[Any] = None,
        service_principal_credential: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsCrmLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'DynamicsCrm'  # type: str
        self.deployment_type = deployment_type
        self.host_name = host_name
        self.port = port
        self.service_uri = service_uri
        self.organization_name = organization_name
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_credential_type = service_principal_credential_type
        self.service_principal_credential = service_principal_credential
        self.encrypted_credential = encrypted_credential


class DynamicsCrmSink(CopySink):
    """A copy activity Dynamics CRM sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: Required. The write behavior for the operation. Possible values include:
     "Upsert".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsSinkWriteBehavior
    :param ignore_null_values: The flag indicating whether to ignore null values from input dataset
     (except key fields) during write operation. Default is false. Type: boolean (or Expression with
     resultType boolean).
    :type ignore_null_values: any
    :param alternate_key_name: The logical name of the alternate key which will be used when
     upserting records. Type: string (or Expression with resultType string).
    :type alternate_key_name: any
    """

    _validation = {
        'type': {'required': True},
        'write_behavior': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
        'ignore_null_values': {'key': 'ignoreNullValues', 'type': 'object'},
        'alternate_key_name': {'key': 'alternateKeyName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        write_behavior: Union[str, "DynamicsSinkWriteBehavior"],
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        ignore_null_values: Optional[Any] = None,
        alternate_key_name: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsCrmSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DynamicsCrmSink'  # type: str
        self.write_behavior = write_behavior
        self.ignore_null_values = ignore_null_values
        self.alternate_key_name = alternate_key_name


class DynamicsCrmSource(CopySource):
    """A copy activity Dynamics CRM source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: FetchXML is a proprietary query language that is used in Microsoft Dynamics CRM
     (online & on-premises). Type: string (or Expression with resultType string).
    :type query: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsCrmSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DynamicsCrmSource'  # type: str
        self.query = query
        self.additional_columns = additional_columns


class DynamicsEntityDataset(Dataset):
    """The Dynamics entity dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param entity_name: The logical name of the entity. Type: string (or Expression with resultType
     string).
    :type entity_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'entity_name': {'key': 'typeProperties.entityName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        entity_name: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsEntityDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'DynamicsEntity'  # type: str
        self.entity_name = entity_name


class DynamicsLinkedService(LinkedService):
    """Dynamics linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param deployment_type: Required. The deployment type of the Dynamics instance. 'Online' for
     Dynamics Online and 'OnPremisesWithIfd' for Dynamics on-premises with Ifd. Type: string (or
     Expression with resultType string). Possible values include: "Online", "OnPremisesWithIfd".
    :type deployment_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsDeploymentType
    :param host_name: The host name of the on-premises Dynamics server. The property is required
     for on-prem and not allowed for online. Type: string (or Expression with resultType string).
    :type host_name: any
    :param port: The port of on-premises Dynamics server. The property is required for on-prem and
     not allowed for online. Default is 443. Type: integer (or Expression with resultType integer),
     minimum: 0.
    :type port: any
    :param service_uri: The URL to the Microsoft Dynamics server. The property is required for
     on-line and not allowed for on-prem. Type: string (or Expression with resultType string).
    :type service_uri: any
    :param organization_name: The organization name of the Dynamics instance. The property is
     required for on-prem and required for online when there are more than one Dynamics instances
     associated with the user. Type: string (or Expression with resultType string).
    :type organization_name: any
    :param authentication_type: Required. The authentication type to connect to Dynamics server.
     'Office365' for online scenario, 'Ifd' for on-premises with Ifd scenario, 'AADServicePrincipal'
     for Server-To-Server authentication in online scenario. Type: string (or Expression with
     resultType string). Possible values include: "Office365", "Ifd", "AADServicePrincipal".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsAuthenticationType
    :param username: User name to access the Dynamics instance. Type: string (or Expression with
     resultType string).
    :type username: any
    :param password: Password to access the Dynamics instance.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_principal_id: The client ID of the application in Azure Active Directory used
     for Server-To-Server authentication. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_credential_type: The service principal credential type to use in
     Server-To-Server authentication. 'ServicePrincipalKey' for key/secret, 'ServicePrincipalCert'
     for certificate. Type: string (or Expression with resultType string). Possible values include:
     "ServicePrincipalKey", "ServicePrincipalCert".
    :type service_principal_credential_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsServicePrincipalCredentialType
    :param service_principal_credential: The credential of the service principal object in Azure
     Active Directory. If servicePrincipalCredentialType is 'ServicePrincipalKey',
     servicePrincipalCredential can be SecureString or AzureKeyVaultSecretReference. If
     servicePrincipalCredentialType is 'ServicePrincipalCert', servicePrincipalCredential can only
     be AzureKeyVaultSecretReference.
    :type service_principal_credential: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'deployment_type': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'deployment_type': {'key': 'typeProperties.deploymentType', 'type': 'str'},
        'host_name': {'key': 'typeProperties.hostName', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'service_uri': {'key': 'typeProperties.serviceUri', 'type': 'object'},
        'organization_name': {'key': 'typeProperties.organizationName', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_credential_type': {'key': 'typeProperties.servicePrincipalCredentialType', 'type': 'str'},
        'service_principal_credential': {'key': 'typeProperties.servicePrincipalCredential', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        deployment_type: Union[str, "DynamicsDeploymentType"],
        authentication_type: Union[str, "DynamicsAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        host_name: Optional[Any] = None,
        port: Optional[Any] = None,
        service_uri: Optional[Any] = None,
        organization_name: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_credential_type: Optional[Union[str, "DynamicsServicePrincipalCredentialType"]] = None,
        service_principal_credential: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Dynamics'  # type: str
        self.deployment_type = deployment_type
        self.host_name = host_name
        self.port = port
        self.service_uri = service_uri
        self.organization_name = organization_name
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_credential_type = service_principal_credential_type
        self.service_principal_credential = service_principal_credential
        self.encrypted_credential = encrypted_credential


class DynamicsSink(CopySink):
    """A copy activity Dynamics sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: Required. The write behavior for the operation. Possible values include:
     "Upsert".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.DynamicsSinkWriteBehavior
    :param ignore_null_values: The flag indicating whether ignore null values from input dataset
     (except key fields) during write operation. Default is false. Type: boolean (or Expression with
     resultType boolean).
    :type ignore_null_values: any
    :param alternate_key_name: The logical name of the alternate key which will be used when
     upserting records. Type: string (or Expression with resultType string).
    :type alternate_key_name: any
    """

    _validation = {
        'type': {'required': True},
        'write_behavior': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
        'ignore_null_values': {'key': 'ignoreNullValues', 'type': 'object'},
        'alternate_key_name': {'key': 'alternateKeyName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        write_behavior: Union[str, "DynamicsSinkWriteBehavior"],
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        ignore_null_values: Optional[Any] = None,
        alternate_key_name: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DynamicsSink'  # type: str
        self.write_behavior = write_behavior
        self.ignore_null_values = ignore_null_values
        self.alternate_key_name = alternate_key_name


class DynamicsSource(CopySource):
    """A copy activity Dynamics source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: FetchXML is a proprietary query language that is used in Microsoft Dynamics
     (online & on-premises). Type: string (or Expression with resultType string).
    :type query: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(DynamicsSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'DynamicsSource'  # type: str
        self.query = query
        self.additional_columns = additional_columns


class EloquaLinkedService(LinkedService):
    """Eloqua server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param endpoint: Required. The endpoint of the Eloqua server. (i.e. eloqua.example.com).
    :type endpoint: any
    :param username: Required. The site name and user name of your Eloqua account in the form:
     sitename/username. (i.e. Eloqua/Alice).
    :type username: any
    :param password: The password corresponding to the user name.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'username': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        username: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(EloquaLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Eloqua'  # type: str
        self.endpoint = endpoint
        self.username = username
        self.password = password
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class EloquaObjectDataset(Dataset):
    """Eloqua server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(EloquaObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'EloquaObject'  # type: str
        self.table_name = table_name


class EloquaSource(TabularSource):
    """A copy activity Eloqua server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(EloquaSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'EloquaSource'  # type: str
        self.query = query


class EncryptionDetails(msrest.serialization.Model):
    """Details of the encryption associated with the workspace.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar double_encryption_enabled: Double Encryption enabled.
    :vartype double_encryption_enabled: bool
    :param cmk: Customer Managed Key Details.
    :type cmk: ~azure.synapse.artifacts.v2020_12_01.models.CustomerManagedKeyDetails
    """

    _validation = {
        'double_encryption_enabled': {'readonly': True},
    }

    _attribute_map = {
        'double_encryption_enabled': {'key': 'doubleEncryptionEnabled', 'type': 'bool'},
        'cmk': {'key': 'cmk', 'type': 'CustomerManagedKeyDetails'},
    }

    def __init__(
        self,
        *,
        cmk: Optional["CustomerManagedKeyDetails"] = None,
        **kwargs
    ):
        super(EncryptionDetails, self).__init__(**kwargs)
        self.double_encryption_enabled = None
        self.cmk = cmk


class EntityReference(msrest.serialization.Model):
    """The entity reference.

    :param type: The type of this referenced entity. Possible values include:
     "IntegrationRuntimeReference", "LinkedServiceReference".
    :type type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeEntityReferenceType
    :param reference_name: The name of this referenced entity.
    :type reference_name: str
    """

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Optional[Union[str, "IntegrationRuntimeEntityReferenceType"]] = None,
        reference_name: Optional[str] = None,
        **kwargs
    ):
        super(EntityReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name


class ErrorAdditionalInfo(msrest.serialization.Model):
    """The resource management error additional info.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar type: The additional info type.
    :vartype type: str
    :ivar info: The additional info.
    :vartype info: any
    """

    _validation = {
        'type': {'readonly': True},
        'info': {'readonly': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'info': {'key': 'info', 'type': 'object'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(ErrorAdditionalInfo, self).__init__(**kwargs)
        self.type = None
        self.info = None


class ErrorContract(msrest.serialization.Model):
    """Contains details when the response code indicates an error.

    :param error: The error details.
    :type error: ~azure.synapse.artifacts.v2020_12_01.models.ErrorResponse
    """

    _attribute_map = {
        'error': {'key': 'error', 'type': 'ErrorResponse'},
    }

    def __init__(
        self,
        *,
        error: Optional["ErrorResponse"] = None,
        **kwargs
    ):
        super(ErrorContract, self).__init__(**kwargs)
        self.error = error


class ErrorResponse(msrest.serialization.Model):
    """Common error response for all Azure Resource Manager APIs to return error details for failed operations. (This also follows the OData error response format.).

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar code: The error code.
    :vartype code: str
    :ivar message: The error message.
    :vartype message: str
    :ivar target: The error target.
    :vartype target: str
    :ivar details: The error details.
    :vartype details: list[~azure.synapse.artifacts.v2020_12_01.models.ErrorResponse]
    :ivar additional_info: The error additional info.
    :vartype additional_info: list[~azure.synapse.artifacts.v2020_12_01.models.ErrorAdditionalInfo]
    """

    _validation = {
        'code': {'readonly': True},
        'message': {'readonly': True},
        'target': {'readonly': True},
        'details': {'readonly': True},
        'additional_info': {'readonly': True},
    }

    _attribute_map = {
        'code': {'key': 'code', 'type': 'str'},
        'message': {'key': 'message', 'type': 'str'},
        'target': {'key': 'target', 'type': 'str'},
        'details': {'key': 'details', 'type': '[ErrorResponse]'},
        'additional_info': {'key': 'additionalInfo', 'type': '[ErrorAdditionalInfo]'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(ErrorResponse, self).__init__(**kwargs)
        self.code = None
        self.message = None
        self.target = None
        self.details = None
        self.additional_info = None


class EvaluateDataFlowExpressionRequest(msrest.serialization.Model):
    """Request body structure for data flow expression preview.

    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param data_flow_name: The data flow which contains the debug session.
    :type data_flow_name: str
    :param stream_name: The output stream name.
    :type stream_name: str
    :param row_limits: The row limit for preview request.
    :type row_limits: int
    :param expression: The expression for preview.
    :type expression: str
    """

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow_name': {'key': 'dataFlowName', 'type': 'str'},
        'stream_name': {'key': 'streamName', 'type': 'str'},
        'row_limits': {'key': 'rowLimits', 'type': 'int'},
        'expression': {'key': 'expression', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        session_id: Optional[str] = None,
        data_flow_name: Optional[str] = None,
        stream_name: Optional[str] = None,
        row_limits: Optional[int] = None,
        expression: Optional[str] = None,
        **kwargs
    ):
        super(EvaluateDataFlowExpressionRequest, self).__init__(**kwargs)
        self.session_id = session_id
        self.data_flow_name = data_flow_name
        self.stream_name = stream_name
        self.row_limits = row_limits
        self.expression = expression


class ExcelDataset(Dataset):
    """Excel dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the excel storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param sheet_name: The sheet of excel file. Type: string (or Expression with resultType
     string).
    :type sheet_name: any
    :param range: The partial data of one sheet. Type: string (or Expression with resultType
     string).
    :type range: any
    :param first_row_as_header: When used as input, treat the first row of data as headers. When
     used as output,write the headers into the output as the first row of data. The default value is
     false. Type: boolean (or Expression with resultType boolean).
    :type first_row_as_header: any
    :param compression: The data compression method used for the json dataset.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    :param null_value: The null value string. Type: string (or Expression with resultType string).
    :type null_value: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'sheet_name': {'key': 'typeProperties.sheetName', 'type': 'object'},
        'range': {'key': 'typeProperties.range', 'type': 'object'},
        'first_row_as_header': {'key': 'typeProperties.firstRowAsHeader', 'type': 'object'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
        'null_value': {'key': 'typeProperties.nullValue', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        sheet_name: Optional[Any] = None,
        range: Optional[Any] = None,
        first_row_as_header: Optional[Any] = None,
        compression: Optional["DatasetCompression"] = None,
        null_value: Optional[Any] = None,
        **kwargs
    ):
        super(ExcelDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Excel'  # type: str
        self.location = location
        self.sheet_name = sheet_name
        self.range = range
        self.first_row_as_header = first_row_as_header
        self.compression = compression
        self.null_value = null_value


class ExcelSource(CopySource):
    """A copy activity excel source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Excel store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(ExcelSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'ExcelSource'  # type: str
        self.store_settings = store_settings
        self.additional_columns = additional_columns


class ExecuteDataFlowActivity(ExecutionActivity):
    """Execute data flow activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param dataflow: Required. Data flow reference.
    :type dataflow: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowReference
    :param staging: Staging info for execute data flow activity.
    :type staging: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowStagingInfo
    :param integration_runtime: The integration runtime reference.
    :type integration_runtime:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param compute: Compute properties for data flow activity.
    :type compute:
     ~azure.synapse.artifacts.v2020_12_01.models.ExecuteDataFlowActivityTypePropertiesCompute
    :param trace_level: Trace level setting used for data flow monitoring output. Supported values
     are: 'coarse', 'fine', and 'none'. Type: string (or Expression with resultType string).
    :type trace_level: any
    :param continue_on_error: Continue on error setting used for data flow execution. Enables
     processing to continue if a sink fails. Type: boolean (or Expression with resultType boolean).
    :type continue_on_error: any
    :param run_concurrently: Concurrent run setting used for data flow execution. Allows sinks with
     the same save order to be processed concurrently. Type: boolean (or Expression with resultType
     boolean).
    :type run_concurrently: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'dataflow': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'dataflow': {'key': 'typeProperties.dataflow', 'type': 'DataFlowReference'},
        'staging': {'key': 'typeProperties.staging', 'type': 'DataFlowStagingInfo'},
        'integration_runtime': {'key': 'typeProperties.integrationRuntime', 'type': 'IntegrationRuntimeReference'},
        'compute': {'key': 'typeProperties.compute', 'type': 'ExecuteDataFlowActivityTypePropertiesCompute'},
        'trace_level': {'key': 'typeProperties.traceLevel', 'type': 'object'},
        'continue_on_error': {'key': 'typeProperties.continueOnError', 'type': 'object'},
        'run_concurrently': {'key': 'typeProperties.runConcurrently', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        dataflow: "DataFlowReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        staging: Optional["DataFlowStagingInfo"] = None,
        integration_runtime: Optional["IntegrationRuntimeReference"] = None,
        compute: Optional["ExecuteDataFlowActivityTypePropertiesCompute"] = None,
        trace_level: Optional[Any] = None,
        continue_on_error: Optional[Any] = None,
        run_concurrently: Optional[Any] = None,
        **kwargs
    ):
        super(ExecuteDataFlowActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'ExecuteDataFlow'  # type: str
        self.dataflow = dataflow
        self.staging = staging
        self.integration_runtime = integration_runtime
        self.compute = compute
        self.trace_level = trace_level
        self.continue_on_error = continue_on_error
        self.run_concurrently = run_concurrently


class ExecuteDataFlowActivityTypePropertiesCompute(msrest.serialization.Model):
    """Compute properties for data flow activity.

    :param compute_type: Compute type of the cluster which will execute data flow job. Possible
     values include: "General", "MemoryOptimized", "ComputeOptimized".
    :type compute_type: str or ~azure.synapse.artifacts.v2020_12_01.models.DataFlowComputeType
    :param core_count: Core count of the cluster which will execute data flow job. Supported values
     are: 8, 16, 32, 48, 80, 144 and 272.
    :type core_count: int
    """

    _attribute_map = {
        'compute_type': {'key': 'computeType', 'type': 'str'},
        'core_count': {'key': 'coreCount', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        compute_type: Optional[Union[str, "DataFlowComputeType"]] = None,
        core_count: Optional[int] = None,
        **kwargs
    ):
        super(ExecuteDataFlowActivityTypePropertiesCompute, self).__init__(**kwargs)
        self.compute_type = compute_type
        self.core_count = core_count


class ExecutePipelineActivity(ControlActivity):
    """Execute pipeline activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param pipeline: Required. Pipeline reference.
    :type pipeline: ~azure.synapse.artifacts.v2020_12_01.models.PipelineReference
    :param parameters: Pipeline parameters.
    :type parameters: dict[str, any]
    :param wait_on_completion: Defines whether activity execution will wait for the dependent
     pipeline execution to finish. Default is false.
    :type wait_on_completion: bool
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'pipeline': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'pipeline': {'key': 'typeProperties.pipeline', 'type': 'PipelineReference'},
        'parameters': {'key': 'typeProperties.parameters', 'type': '{object}'},
        'wait_on_completion': {'key': 'typeProperties.waitOnCompletion', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        name: str,
        pipeline: "PipelineReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        parameters: Optional[Dict[str, Any]] = None,
        wait_on_completion: Optional[bool] = None,
        **kwargs
    ):
        super(ExecutePipelineActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'ExecutePipeline'  # type: str
        self.pipeline = pipeline
        self.parameters = parameters
        self.wait_on_completion = wait_on_completion


class ExecuteSSISPackageActivity(ExecutionActivity):
    """Execute SSIS package activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param package_location: Required. SSIS package location.
    :type package_location: ~azure.synapse.artifacts.v2020_12_01.models.SSISPackageLocation
    :param runtime: Specifies the runtime to execute SSIS package. The value should be "x86" or
     "x64". Type: string (or Expression with resultType string).
    :type runtime: any
    :param logging_level: The logging level of SSIS package execution. Type: string (or Expression
     with resultType string).
    :type logging_level: any
    :param environment_path: The environment path to execute the SSIS package. Type: string (or
     Expression with resultType string).
    :type environment_path: any
    :param execution_credential: The package execution credential.
    :type execution_credential: ~azure.synapse.artifacts.v2020_12_01.models.SSISExecutionCredential
    :param connect_via: Required. The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param project_parameters: The project level parameters to execute the SSIS package.
    :type project_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.SSISExecutionParameter]
    :param package_parameters: The package level parameters to execute the SSIS package.
    :type package_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.SSISExecutionParameter]
    :param project_connection_managers: The project level connection managers to execute the SSIS
     package.
    :type project_connection_managers: dict[str, dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.SSISExecutionParameter]]
    :param package_connection_managers: The package level connection managers to execute the SSIS
     package.
    :type package_connection_managers: dict[str, dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.SSISExecutionParameter]]
    :param property_overrides: The property overrides to execute the SSIS package.
    :type property_overrides: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.SSISPropertyOverride]
    :param log_location: SSIS package execution log location.
    :type log_location: ~azure.synapse.artifacts.v2020_12_01.models.SSISLogLocation
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'package_location': {'required': True},
        'connect_via': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'package_location': {'key': 'typeProperties.packageLocation', 'type': 'SSISPackageLocation'},
        'runtime': {'key': 'typeProperties.runtime', 'type': 'object'},
        'logging_level': {'key': 'typeProperties.loggingLevel', 'type': 'object'},
        'environment_path': {'key': 'typeProperties.environmentPath', 'type': 'object'},
        'execution_credential': {'key': 'typeProperties.executionCredential', 'type': 'SSISExecutionCredential'},
        'connect_via': {'key': 'typeProperties.connectVia', 'type': 'IntegrationRuntimeReference'},
        'project_parameters': {'key': 'typeProperties.projectParameters', 'type': '{SSISExecutionParameter}'},
        'package_parameters': {'key': 'typeProperties.packageParameters', 'type': '{SSISExecutionParameter}'},
        'project_connection_managers': {'key': 'typeProperties.projectConnectionManagers', 'type': '{{SSISExecutionParameter}}'},
        'package_connection_managers': {'key': 'typeProperties.packageConnectionManagers', 'type': '{{SSISExecutionParameter}}'},
        'property_overrides': {'key': 'typeProperties.propertyOverrides', 'type': '{SSISPropertyOverride}'},
        'log_location': {'key': 'typeProperties.logLocation', 'type': 'SSISLogLocation'},
    }

    def __init__(
        self,
        *,
        name: str,
        package_location: "SSISPackageLocation",
        connect_via: "IntegrationRuntimeReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        runtime: Optional[Any] = None,
        logging_level: Optional[Any] = None,
        environment_path: Optional[Any] = None,
        execution_credential: Optional["SSISExecutionCredential"] = None,
        project_parameters: Optional[Dict[str, "SSISExecutionParameter"]] = None,
        package_parameters: Optional[Dict[str, "SSISExecutionParameter"]] = None,
        project_connection_managers: Optional[Dict[str, Dict[str, "SSISExecutionParameter"]]] = None,
        package_connection_managers: Optional[Dict[str, Dict[str, "SSISExecutionParameter"]]] = None,
        property_overrides: Optional[Dict[str, "SSISPropertyOverride"]] = None,
        log_location: Optional["SSISLogLocation"] = None,
        **kwargs
    ):
        super(ExecuteSSISPackageActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'ExecuteSSISPackage'  # type: str
        self.package_location = package_location
        self.runtime = runtime
        self.logging_level = logging_level
        self.environment_path = environment_path
        self.execution_credential = execution_credential
        self.connect_via = connect_via
        self.project_parameters = project_parameters
        self.package_parameters = package_parameters
        self.project_connection_managers = project_connection_managers
        self.package_connection_managers = package_connection_managers
        self.property_overrides = property_overrides
        self.log_location = log_location


class ExposureControlRequest(msrest.serialization.Model):
    """The exposure control request.

    :param feature_name: The feature name.
    :type feature_name: str
    :param feature_type: The feature type.
    :type feature_type: str
    """

    _attribute_map = {
        'feature_name': {'key': 'featureName', 'type': 'str'},
        'feature_type': {'key': 'featureType', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        feature_name: Optional[str] = None,
        feature_type: Optional[str] = None,
        **kwargs
    ):
        super(ExposureControlRequest, self).__init__(**kwargs)
        self.feature_name = feature_name
        self.feature_type = feature_type


class ExposureControlResponse(msrest.serialization.Model):
    """The exposure control response.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar feature_name: The feature name.
    :vartype feature_name: str
    :ivar value: The feature value.
    :vartype value: str
    """

    _validation = {
        'feature_name': {'readonly': True},
        'value': {'readonly': True},
    }

    _attribute_map = {
        'feature_name': {'key': 'featureName', 'type': 'str'},
        'value': {'key': 'value', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(ExposureControlResponse, self).__init__(**kwargs)
        self.feature_name = None
        self.value = None


class Expression(msrest.serialization.Model):
    """Azure Synapse expression definition.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Expression type. Possible values include: "Expression".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.ExpressionType
    :param value: Required. Expression value.
    :type value: str
    """

    _validation = {
        'type': {'required': True},
        'value': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'value': {'key': 'value', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "ExpressionType"],
        value: str,
        **kwargs
    ):
        super(Expression, self).__init__(**kwargs)
        self.type = type
        self.value = value


class FileServerLinkedService(LinkedService):
    """File system linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. Host name of the server. Type: string (or Expression with resultType
     string).
    :type host: any
    :param user_id: User ID to logon the server. Type: string (or Expression with resultType
     string).
    :type user_id: any
    :param password: Password to logon the server.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'user_id': {'key': 'typeProperties.userId', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        user_id: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(FileServerLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'FileServer'  # type: str
        self.host = host
        self.user_id = user_id
        self.password = password
        self.encrypted_credential = encrypted_credential


class FileServerLocation(DatasetLocation):
    """The location of file server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(FileServerLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'FileServerLocation'  # type: str


class FileServerReadSettings(StoreReadSettings):
    """File server read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: FileServer wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: FileServer wildcardFileName. Type: string (or Expression with
     resultType string).
    :type wildcard_file_name: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    :param file_filter: Specify a filter to be used to select a subset of files in the folderPath
     rather than all files. Type: string (or Expression with resultType string).
    :type file_filter: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
        'file_filter': {'key': 'fileFilter', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        file_filter: Optional[Any] = None,
        **kwargs
    ):
        super(FileServerReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'FileServerReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end
        self.file_filter = file_filter


class FileServerWriteSettings(StoreWriteSettings):
    """File server write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(FileServerWriteSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, copy_behavior=copy_behavior, **kwargs)
        self.type = 'FileServerWriteSettings'  # type: str


class FileShareDataset(Dataset):
    """An on-premises file system dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param folder_path: The path of the on-premises file system. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: The name of the on-premises file system. Type: string (or Expression with
     resultType string).
    :type file_name: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    :param format: The format of the files.
    :type format: ~azure.synapse.artifacts.v2020_12_01.models.DatasetStorageFormat
    :param file_filter: Specify a filter to be used to select a subset of files in the folderPath
     rather than all files. Type: string (or Expression with resultType string).
    :type file_filter: any
    :param compression: The data compression method used for the file system.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
        'file_name': {'key': 'typeProperties.fileName', 'type': 'object'},
        'modified_datetime_start': {'key': 'typeProperties.modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'typeProperties.modifiedDatetimeEnd', 'type': 'object'},
        'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
        'file_filter': {'key': 'typeProperties.fileFilter', 'type': 'object'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        format: Optional["DatasetStorageFormat"] = None,
        file_filter: Optional[Any] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(FileShareDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'FileShare'  # type: str
        self.folder_path = folder_path
        self.file_name = file_name
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end
        self.format = format
        self.file_filter = file_filter
        self.compression = compression


class FileSystemSink(CopySink):
    """A copy activity file system sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        **kwargs
    ):
        super(FileSystemSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'FileSystemSink'  # type: str
        self.copy_behavior = copy_behavior


class FileSystemSource(CopySource):
    """A copy activity file system source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(FileSystemSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'FileSystemSource'  # type: str
        self.recursive = recursive
        self.additional_columns = additional_columns


class FilterActivity(ControlActivity):
    """Filter and return results from input array based on the conditions.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param items: Required. Input array on which filter should be applied.
    :type items: ~azure.synapse.artifacts.v2020_12_01.models.Expression
    :param condition: Required. Condition to be used for filtering the input.
    :type condition: ~azure.synapse.artifacts.v2020_12_01.models.Expression
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'items': {'required': True},
        'condition': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'items': {'key': 'typeProperties.items', 'type': 'Expression'},
        'condition': {'key': 'typeProperties.condition', 'type': 'Expression'},
    }

    def __init__(
        self,
        *,
        name: str,
        items: "Expression",
        condition: "Expression",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        **kwargs
    ):
        super(FilterActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Filter'  # type: str
        self.items = items
        self.condition = condition


class ForEachActivity(ControlActivity):
    """This activity is used for iterating over a collection and execute given activities.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param is_sequential: Should the loop be executed in sequence or in parallel (max 50).
    :type is_sequential: bool
    :param batch_count: Batch count to be used for controlling the number of parallel execution
     (when isSequential is set to false).
    :type batch_count: int
    :param items: Required. Collection to iterate.
    :type items: ~azure.synapse.artifacts.v2020_12_01.models.Expression
    :param activities: Required. List of activities to execute .
    :type activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'batch_count': {'maximum': 50},
        'items': {'required': True},
        'activities': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'is_sequential': {'key': 'typeProperties.isSequential', 'type': 'bool'},
        'batch_count': {'key': 'typeProperties.batchCount', 'type': 'int'},
        'items': {'key': 'typeProperties.items', 'type': 'Expression'},
        'activities': {'key': 'typeProperties.activities', 'type': '[Activity]'},
    }

    def __init__(
        self,
        *,
        name: str,
        items: "Expression",
        activities: List["Activity"],
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        is_sequential: Optional[bool] = None,
        batch_count: Optional[int] = None,
        **kwargs
    ):
        super(ForEachActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'ForEach'  # type: str
        self.is_sequential = is_sequential
        self.batch_count = batch_count
        self.items = items
        self.activities = activities


class FtpReadSettings(StoreReadSettings):
    """Ftp read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: Ftp wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: Ftp wildcardFileName. Type: string (or Expression with resultType
     string).
    :type wildcard_file_name: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param use_binary_transfer: Specify whether to use binary transfer mode for FTP stores.
    :type use_binary_transfer: bool
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'use_binary_transfer': {'key': 'useBinaryTransfer', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        use_binary_transfer: Optional[bool] = None,
        **kwargs
    ):
        super(FtpReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'FtpReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.file_list_path = file_list_path
        self.use_binary_transfer = use_binary_transfer


class FtpServerLinkedService(LinkedService):
    """A FTP server Linked Service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. Host name of the FTP server. Type: string (or Expression with resultType
     string).
    :type host: any
    :param port: The TCP port number that the FTP server uses to listen for client connections.
     Default value is 21. Type: integer (or Expression with resultType integer), minimum: 0.
    :type port: any
    :param authentication_type: The authentication type to be used to connect to the FTP server.
     Possible values include: "Basic", "Anonymous".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.FtpAuthenticationType
    :param user_name: Username to logon the FTP server. Type: string (or Expression with resultType
     string).
    :type user_name: any
    :param password: Password to logon the FTP server.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param enable_ssl: If true, connect to the FTP server over SSL/TLS channel. Default value is
     true. Type: boolean (or Expression with resultType boolean).
    :type enable_ssl: any
    :param enable_server_certificate_validation: If true, validate the FTP server SSL certificate
     when connect over SSL/TLS channel. Default value is true. Type: boolean (or Expression with
     resultType boolean).
    :type enable_server_certificate_validation: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'enable_server_certificate_validation': {'key': 'typeProperties.enableServerCertificateValidation', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        authentication_type: Optional[Union[str, "FtpAuthenticationType"]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        enable_ssl: Optional[Any] = None,
        enable_server_certificate_validation: Optional[Any] = None,
        **kwargs
    ):
        super(FtpServerLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'FtpServer'  # type: str
        self.host = host
        self.port = port
        self.authentication_type = authentication_type
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential
        self.enable_ssl = enable_ssl
        self.enable_server_certificate_validation = enable_server_certificate_validation


class FtpServerLocation(DatasetLocation):
    """The location of ftp server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(FtpServerLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'FtpServerLocation'  # type: str


class GetMetadataActivity(ExecutionActivity):
    """Activity to get metadata of dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param dataset: Required. GetMetadata activity dataset reference.
    :type dataset: ~azure.synapse.artifacts.v2020_12_01.models.DatasetReference
    :param field_list: Fields of metadata to get from dataset.
    :type field_list: list[any]
    :param store_settings: GetMetadata activity store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param format_settings: GetMetadata activity format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.FormatReadSettings
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'dataset': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'dataset': {'key': 'typeProperties.dataset', 'type': 'DatasetReference'},
        'field_list': {'key': 'typeProperties.fieldList', 'type': '[object]'},
        'store_settings': {'key': 'typeProperties.storeSettings', 'type': 'StoreReadSettings'},
        'format_settings': {'key': 'typeProperties.formatSettings', 'type': 'FormatReadSettings'},
    }

    def __init__(
        self,
        *,
        name: str,
        dataset: "DatasetReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        field_list: Optional[List[Any]] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        format_settings: Optional["FormatReadSettings"] = None,
        **kwargs
    ):
        super(GetMetadataActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'GetMetadata'  # type: str
        self.dataset = dataset
        self.field_list = field_list
        self.store_settings = store_settings
        self.format_settings = format_settings


class GetSsisObjectMetadataRequest(msrest.serialization.Model):
    """The request payload of get SSIS object metadata.

    :param metadata_path: Metadata path.
    :type metadata_path: str
    """

    _attribute_map = {
        'metadata_path': {'key': 'metadataPath', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        metadata_path: Optional[str] = None,
        **kwargs
    ):
        super(GetSsisObjectMetadataRequest, self).__init__(**kwargs)
        self.metadata_path = metadata_path


class GitHubAccessTokenRequest(msrest.serialization.Model):
    """GitHubAccessTokenRequest.

    All required parameters must be populated in order to send to Azure.

    :param git_hub_client_id: Required. The GitHub Client Id.
    :type git_hub_client_id: str
    :param git_hub_access_code: Required. The GitHub Access code.
    :type git_hub_access_code: str
    :param git_hub_access_token_base_url: Required. The GitHub access token base URL.
    :type git_hub_access_token_base_url: str
    """

    _validation = {
        'git_hub_client_id': {'required': True},
        'git_hub_access_code': {'required': True},
        'git_hub_access_token_base_url': {'required': True},
    }

    _attribute_map = {
        'git_hub_client_id': {'key': 'gitHubClientId', 'type': 'str'},
        'git_hub_access_code': {'key': 'gitHubAccessCode', 'type': 'str'},
        'git_hub_access_token_base_url': {'key': 'gitHubAccessTokenBaseUrl', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        git_hub_client_id: str,
        git_hub_access_code: str,
        git_hub_access_token_base_url: str,
        **kwargs
    ):
        super(GitHubAccessTokenRequest, self).__init__(**kwargs)
        self.git_hub_client_id = git_hub_client_id
        self.git_hub_access_code = git_hub_access_code
        self.git_hub_access_token_base_url = git_hub_access_token_base_url


class GitHubAccessTokenResponse(msrest.serialization.Model):
    """GitHubAccessTokenResponse.

    :param git_hub_access_token:
    :type git_hub_access_token: str
    """

    _attribute_map = {
        'git_hub_access_token': {'key': 'gitHubAccessToken', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        git_hub_access_token: Optional[str] = None,
        **kwargs
    ):
        super(GitHubAccessTokenResponse, self).__init__(**kwargs)
        self.git_hub_access_token = git_hub_access_token


class GitHubClientSecret(msrest.serialization.Model):
    """Client secret information for factory's bring your own app repository configuration.

    :param byoa_secret_akv_url: Bring your own app client secret AKV URL.
    :type byoa_secret_akv_url: str
    :param byoa_secret_name: Bring your own app client secret name in AKV.
    :type byoa_secret_name: str
    """

    _attribute_map = {
        'byoa_secret_akv_url': {'key': 'byoaSecretAkvUrl', 'type': 'str'},
        'byoa_secret_name': {'key': 'byoaSecretName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        byoa_secret_akv_url: Optional[str] = None,
        byoa_secret_name: Optional[str] = None,
        **kwargs
    ):
        super(GitHubClientSecret, self).__init__(**kwargs)
        self.byoa_secret_akv_url = byoa_secret_akv_url
        self.byoa_secret_name = byoa_secret_name


class GoogleAdWordsLinkedService(LinkedService):
    """Google AdWords service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param client_customer_id: Required. The Client customer ID of the AdWords account that you
     want to fetch report data for.
    :type client_customer_id: any
    :param developer_token: Required. The developer token associated with the manager account that
     you use to grant access to the AdWords API.
    :type developer_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param authentication_type: Required. The OAuth 2.0 authentication mechanism used for
     authentication. ServiceAuthentication can only be used on self-hosted IR. Possible values
     include: "ServiceAuthentication", "UserAuthentication".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.GoogleAdWordsAuthenticationType
    :param refresh_token: The refresh token obtained from Google for authorizing access to AdWords
     for UserAuthentication.
    :type refresh_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param client_id: The client id of the google application used to acquire the refresh token.
     Type: string (or Expression with resultType string).
    :type client_id: any
    :param client_secret: The client secret of the google application used to acquire the refresh
     token.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param email: The service account email ID that is used for ServiceAuthentication and can only
     be used on self-hosted IR.
    :type email: any
    :param key_file_path: The full path to the .p12 key file that is used to authenticate the
     service account email address and can only be used on self-hosted IR.
    :type key_file_path: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'client_customer_id': {'required': True},
        'developer_token': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'client_customer_id': {'key': 'typeProperties.clientCustomerID', 'type': 'object'},
        'developer_token': {'key': 'typeProperties.developerToken', 'type': 'SecretBase'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'refresh_token': {'key': 'typeProperties.refreshToken', 'type': 'SecretBase'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'email': {'key': 'typeProperties.email', 'type': 'object'},
        'key_file_path': {'key': 'typeProperties.keyFilePath', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        client_customer_id: Any,
        developer_token: "SecretBase",
        authentication_type: Union[str, "GoogleAdWordsAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        refresh_token: Optional["SecretBase"] = None,
        client_id: Optional[Any] = None,
        client_secret: Optional["SecretBase"] = None,
        email: Optional[Any] = None,
        key_file_path: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleAdWordsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'GoogleAdWords'  # type: str
        self.client_customer_id = client_customer_id
        self.developer_token = developer_token
        self.authentication_type = authentication_type
        self.refresh_token = refresh_token
        self.client_id = client_id
        self.client_secret = client_secret
        self.email = email
        self.key_file_path = key_file_path
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.encrypted_credential = encrypted_credential


class GoogleAdWordsObjectDataset(Dataset):
    """Google AdWords service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleAdWordsObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'GoogleAdWordsObject'  # type: str
        self.table_name = table_name


class GoogleAdWordsSource(TabularSource):
    """A copy activity Google AdWords service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleAdWordsSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'GoogleAdWordsSource'  # type: str
        self.query = query


class GoogleBigQueryLinkedService(LinkedService):
    """Google BigQuery service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param project: Required. The default BigQuery project to query against.
    :type project: any
    :param additional_projects: A comma-separated list of public BigQuery projects to access.
    :type additional_projects: any
    :param request_google_drive_scope: Whether to request access to Google Drive. Allowing Google
     Drive access enables support for federated tables that combine BigQuery data with data from
     Google Drive. The default value is false.
    :type request_google_drive_scope: any
    :param authentication_type: Required. The OAuth 2.0 authentication mechanism used for
     authentication. ServiceAuthentication can only be used on self-hosted IR. Possible values
     include: "ServiceAuthentication", "UserAuthentication".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.GoogleBigQueryAuthenticationType
    :param refresh_token: The refresh token obtained from Google for authorizing access to BigQuery
     for UserAuthentication.
    :type refresh_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param client_id: The client id of the google application used to acquire the refresh token.
     Type: string (or Expression with resultType string).
    :type client_id: any
    :param client_secret: The client secret of the google application used to acquire the refresh
     token.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param email: The service account email ID that is used for ServiceAuthentication and can only
     be used on self-hosted IR.
    :type email: any
    :param key_file_path: The full path to the .p12 key file that is used to authenticate the
     service account email address and can only be used on self-hosted IR.
    :type key_file_path: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'project': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'project': {'key': 'typeProperties.project', 'type': 'object'},
        'additional_projects': {'key': 'typeProperties.additionalProjects', 'type': 'object'},
        'request_google_drive_scope': {'key': 'typeProperties.requestGoogleDriveScope', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'refresh_token': {'key': 'typeProperties.refreshToken', 'type': 'SecretBase'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'email': {'key': 'typeProperties.email', 'type': 'object'},
        'key_file_path': {'key': 'typeProperties.keyFilePath', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        project: Any,
        authentication_type: Union[str, "GoogleBigQueryAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        additional_projects: Optional[Any] = None,
        request_google_drive_scope: Optional[Any] = None,
        refresh_token: Optional["SecretBase"] = None,
        client_id: Optional[Any] = None,
        client_secret: Optional["SecretBase"] = None,
        email: Optional[Any] = None,
        key_file_path: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleBigQueryLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'GoogleBigQuery'  # type: str
        self.project = project
        self.additional_projects = additional_projects
        self.request_google_drive_scope = request_google_drive_scope
        self.authentication_type = authentication_type
        self.refresh_token = refresh_token
        self.client_id = client_id
        self.client_secret = client_secret
        self.email = email
        self.key_file_path = key_file_path
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.encrypted_credential = encrypted_credential


class GoogleBigQueryObjectDataset(Dataset):
    """Google BigQuery service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using database + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Google BigQuery. Type: string (or Expression with
     resultType string).
    :type table: any
    :param dataset: The database name of the Google BigQuery. Type: string (or Expression with
     resultType string).
    :type dataset: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'dataset': {'key': 'typeProperties.dataset', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        dataset: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleBigQueryObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'GoogleBigQueryObject'  # type: str
        self.table_name = table_name
        self.table = table
        self.dataset = dataset


class GoogleBigQuerySource(TabularSource):
    """A copy activity Google BigQuery service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleBigQuerySource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'GoogleBigQuerySource'  # type: str
        self.query = query


class GoogleCloudStorageLinkedService(LinkedService):
    """Linked service for Google Cloud Storage.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param access_key_id: The access key identifier of the Google Cloud Storage Identity and Access
     Management (IAM) user. Type: string (or Expression with resultType string).
    :type access_key_id: any
    :param secret_access_key: The secret access key of the Google Cloud Storage Identity and Access
     Management (IAM) user.
    :type secret_access_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_url: This value specifies the endpoint to access with the Google Cloud Storage
     Connector. This is an optional property; change it only if you want to try a different service
     endpoint or want to switch between https and http. Type: string (or Expression with resultType
     string).
    :type service_url: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'access_key_id': {'key': 'typeProperties.accessKeyId', 'type': 'object'},
        'secret_access_key': {'key': 'typeProperties.secretAccessKey', 'type': 'SecretBase'},
        'service_url': {'key': 'typeProperties.serviceUrl', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        access_key_id: Optional[Any] = None,
        secret_access_key: Optional["SecretBase"] = None,
        service_url: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleCloudStorageLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'GoogleCloudStorage'  # type: str
        self.access_key_id = access_key_id
        self.secret_access_key = secret_access_key
        self.service_url = service_url
        self.encrypted_credential = encrypted_credential


class GoogleCloudStorageLocation(DatasetLocation):
    """The location of Google Cloud Storage dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    :param bucket_name: Specify the bucketName of Google Cloud Storage. Type: string (or Expression
     with resultType string).
    :type bucket_name: any
    :param version: Specify the version of Google Cloud Storage. Type: string (or Expression with
     resultType string).
    :type version: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
        'bucket_name': {'key': 'bucketName', 'type': 'object'},
        'version': {'key': 'version', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        bucket_name: Optional[Any] = None,
        version: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleCloudStorageLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'GoogleCloudStorageLocation'  # type: str
        self.bucket_name = bucket_name
        self.version = version


class GoogleCloudStorageReadSettings(StoreReadSettings):
    """Google Cloud Storage read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: Google Cloud Storage wildcardFolderPath. Type: string (or
     Expression with resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: Google Cloud Storage wildcardFileName. Type: string (or Expression
     with resultType string).
    :type wildcard_file_name: any
    :param prefix: The prefix filter for the Google Cloud Storage object name. Type: string (or
     Expression with resultType string).
    :type prefix: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'prefix': {'key': 'prefix', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        prefix: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(GoogleCloudStorageReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'GoogleCloudStorageReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.prefix = prefix
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class GreenplumLinkedService(LinkedService):
    """Greenplum Database linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param pwd: The Azure key vault secret reference of password in connection string.
    :type pwd: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'pwd': {'key': 'typeProperties.pwd', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        pwd: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(GreenplumLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Greenplum'  # type: str
        self.connection_string = connection_string
        self.pwd = pwd
        self.encrypted_credential = encrypted_credential


class GreenplumSource(TabularSource):
    """A copy activity Greenplum Database source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(GreenplumSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'GreenplumSource'  # type: str
        self.query = query


class GreenplumTableDataset(Dataset):
    """Greenplum Database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of Greenplum. Type: string (or Expression with resultType string).
    :type table: any
    :param schema_type_properties_schema: The schema name of Greenplum. Type: string (or Expression
     with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(GreenplumTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'GreenplumTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class HBaseLinkedService(LinkedService):
    """HBase server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The IP address or host name of the HBase server. (i.e. 192.168.222.160).
    :type host: any
    :param port: The TCP port that the HBase instance uses to listen for client connections. The
     default value is 9090.
    :type port: any
    :param http_path: The partial URL corresponding to the HBase server. (i.e.
     /gateway/sandbox/hbase/version).
    :type http_path: any
    :param authentication_type: Required. The authentication mechanism to use to connect to the
     HBase server. Possible values include: "Anonymous", "Basic".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HBaseAuthenticationType
    :param username: The user name used to connect to the HBase instance.
    :type username: any
    :param password: The password corresponding to the user name.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false.
    :type enable_ssl: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param allow_host_name_cn_mismatch: Specifies whether to require a CA-issued SSL certificate
     name to match the host name of the server when connecting over SSL. The default value is false.
    :type allow_host_name_cn_mismatch: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false.
    :type allow_self_signed_server_cert: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'http_path': {'key': 'typeProperties.httpPath', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'allow_host_name_cn_mismatch': {'key': 'typeProperties.allowHostNameCNMismatch', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        authentication_type: Union[str, "HBaseAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        http_path: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        enable_ssl: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        allow_host_name_cn_mismatch: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(HBaseLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'HBase'  # type: str
        self.host = host
        self.port = port
        self.http_path = http_path
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.enable_ssl = enable_ssl
        self.trusted_cert_path = trusted_cert_path
        self.allow_host_name_cn_mismatch = allow_host_name_cn_mismatch
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.encrypted_credential = encrypted_credential


class HBaseObjectDataset(Dataset):
    """HBase server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(HBaseObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'HBaseObject'  # type: str
        self.table_name = table_name


class HBaseSource(TabularSource):
    """A copy activity HBase server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(HBaseSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'HBaseSource'  # type: str
        self.query = query


class HdfsLinkedService(LinkedService):
    """Hadoop Distributed File System (HDFS) linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The URL of the HDFS service endpoint, e.g.
     http://myhostname:50070/webhdfs/v1 . Type: string (or Expression with resultType string).
    :type url: any
    :param authentication_type: Type of authentication used to connect to the HDFS. Possible values
     are: Anonymous and Windows. Type: string (or Expression with resultType string).
    :type authentication_type: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param user_name: User name for Windows authentication. Type: string (or Expression with
     resultType string).
    :type user_name: any
    :param password: Password for Windows authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
    }

    def __init__(
        self,
        *,
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        **kwargs
    ):
        super(HdfsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Hdfs'  # type: str
        self.url = url
        self.authentication_type = authentication_type
        self.encrypted_credential = encrypted_credential
        self.user_name = user_name
        self.password = password


class HdfsLocation(DatasetLocation):
    """The location of HDFS.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(HdfsLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'HdfsLocation'  # type: str


class HdfsReadSettings(StoreReadSettings):
    """HDFS read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: HDFS wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: HDFS wildcardFileName. Type: string (or Expression with resultType
     string).
    :type wildcard_file_name: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    :param distcp_settings: Specifies Distcp-related settings.
    :type distcp_settings: ~azure.synapse.artifacts.v2020_12_01.models.DistcpSettings
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
        'distcp_settings': {'key': 'distcpSettings', 'type': 'DistcpSettings'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        distcp_settings: Optional["DistcpSettings"] = None,
        delete_files_after_completion: Optional[Any] = None,
        **kwargs
    ):
        super(HdfsReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'HdfsReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.file_list_path = file_list_path
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end
        self.distcp_settings = distcp_settings
        self.delete_files_after_completion = delete_files_after_completion


class HdfsSource(CopySource):
    """A copy activity HDFS source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param distcp_settings: Specifies Distcp-related settings.
    :type distcp_settings: ~azure.synapse.artifacts.v2020_12_01.models.DistcpSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'distcp_settings': {'key': 'distcpSettings', 'type': 'DistcpSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        distcp_settings: Optional["DistcpSettings"] = None,
        **kwargs
    ):
        super(HdfsSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'HdfsSource'  # type: str
        self.recursive = recursive
        self.distcp_settings = distcp_settings


class HDInsightHiveActivity(ExecutionActivity):
    """HDInsight Hive activity type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param storage_linked_services: Storage linked service references.
    :type storage_linked_services:
     list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param arguments: User specified arguments to HDInsightActivity.
    :type arguments: list[any]
    :param get_debug_info: Debug info option. Possible values include: "None", "Always", "Failure".
    :type get_debug_info: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HDInsightActivityDebugInfoOption
    :param script_path: Script path. Type: string (or Expression with resultType string).
    :type script_path: any
    :param script_linked_service: Script linked service reference.
    :type script_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param defines: Allows user to specify defines for Hive job request.
    :type defines: dict[str, any]
    :param variables: User specified arguments under hivevar namespace.
    :type variables: list[any]
    :param query_timeout: Query timeout value (in minutes).  Effective when the HDInsight cluster
     is with ESP (Enterprise Security Package).
    :type query_timeout: int
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'storage_linked_services': {'key': 'typeProperties.storageLinkedServices', 'type': '[LinkedServiceReference]'},
        'arguments': {'key': 'typeProperties.arguments', 'type': '[object]'},
        'get_debug_info': {'key': 'typeProperties.getDebugInfo', 'type': 'str'},
        'script_path': {'key': 'typeProperties.scriptPath', 'type': 'object'},
        'script_linked_service': {'key': 'typeProperties.scriptLinkedService', 'type': 'LinkedServiceReference'},
        'defines': {'key': 'typeProperties.defines', 'type': '{object}'},
        'variables': {'key': 'typeProperties.variables', 'type': '[object]'},
        'query_timeout': {'key': 'typeProperties.queryTimeout', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        storage_linked_services: Optional[List["LinkedServiceReference"]] = None,
        arguments: Optional[List[Any]] = None,
        get_debug_info: Optional[Union[str, "HDInsightActivityDebugInfoOption"]] = None,
        script_path: Optional[Any] = None,
        script_linked_service: Optional["LinkedServiceReference"] = None,
        defines: Optional[Dict[str, Any]] = None,
        variables: Optional[List[Any]] = None,
        query_timeout: Optional[int] = None,
        **kwargs
    ):
        super(HDInsightHiveActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'HDInsightHive'  # type: str
        self.storage_linked_services = storage_linked_services
        self.arguments = arguments
        self.get_debug_info = get_debug_info
        self.script_path = script_path
        self.script_linked_service = script_linked_service
        self.defines = defines
        self.variables = variables
        self.query_timeout = query_timeout


class HDInsightLinkedService(LinkedService):
    """HDInsight linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param cluster_uri: Required. HDInsight cluster URI. Type: string (or Expression with
     resultType string).
    :type cluster_uri: any
    :param user_name: HDInsight cluster user name. Type: string (or Expression with resultType
     string).
    :type user_name: any
    :param password: HDInsight cluster password.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param linked_service_name: The Azure Storage linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param hcatalog_linked_service_name: A reference to the Azure SQL linked service that points to
     the HCatalog database.
    :type hcatalog_linked_service_name:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param is_esp_enabled: Specify if the HDInsight is created with ESP (Enterprise Security
     Package). Type: Boolean.
    :type is_esp_enabled: any
    :param file_system: Specify the FileSystem if the main storage for the HDInsight is ADLS Gen2.
     Type: string (or Expression with resultType string).
    :type file_system: any
    """

    _validation = {
        'type': {'required': True},
        'cluster_uri': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'cluster_uri': {'key': 'typeProperties.clusterUri', 'type': 'object'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'linked_service_name': {'key': 'typeProperties.linkedServiceName', 'type': 'LinkedServiceReference'},
        'hcatalog_linked_service_name': {'key': 'typeProperties.hcatalogLinkedServiceName', 'type': 'LinkedServiceReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'is_esp_enabled': {'key': 'typeProperties.isEspEnabled', 'type': 'object'},
        'file_system': {'key': 'typeProperties.fileSystem', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        cluster_uri: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        hcatalog_linked_service_name: Optional["LinkedServiceReference"] = None,
        encrypted_credential: Optional[Any] = None,
        is_esp_enabled: Optional[Any] = None,
        file_system: Optional[Any] = None,
        **kwargs
    ):
        super(HDInsightLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'HDInsight'  # type: str
        self.cluster_uri = cluster_uri
        self.user_name = user_name
        self.password = password
        self.linked_service_name = linked_service_name
        self.hcatalog_linked_service_name = hcatalog_linked_service_name
        self.encrypted_credential = encrypted_credential
        self.is_esp_enabled = is_esp_enabled
        self.file_system = file_system


class HDInsightMapReduceActivity(ExecutionActivity):
    """HDInsight MapReduce activity type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param storage_linked_services: Storage linked service references.
    :type storage_linked_services:
     list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param arguments: User specified arguments to HDInsightActivity.
    :type arguments: list[any]
    :param get_debug_info: Debug info option. Possible values include: "None", "Always", "Failure".
    :type get_debug_info: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HDInsightActivityDebugInfoOption
    :param class_name: Required. Class name. Type: string (or Expression with resultType string).
    :type class_name: any
    :param jar_file_path: Required. Jar path. Type: string (or Expression with resultType string).
    :type jar_file_path: any
    :param jar_linked_service: Jar linked service reference.
    :type jar_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param jar_libs: Jar libs.
    :type jar_libs: list[any]
    :param defines: Allows user to specify defines for the MapReduce job request.
    :type defines: dict[str, any]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'class_name': {'required': True},
        'jar_file_path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'storage_linked_services': {'key': 'typeProperties.storageLinkedServices', 'type': '[LinkedServiceReference]'},
        'arguments': {'key': 'typeProperties.arguments', 'type': '[object]'},
        'get_debug_info': {'key': 'typeProperties.getDebugInfo', 'type': 'str'},
        'class_name': {'key': 'typeProperties.className', 'type': 'object'},
        'jar_file_path': {'key': 'typeProperties.jarFilePath', 'type': 'object'},
        'jar_linked_service': {'key': 'typeProperties.jarLinkedService', 'type': 'LinkedServiceReference'},
        'jar_libs': {'key': 'typeProperties.jarLibs', 'type': '[object]'},
        'defines': {'key': 'typeProperties.defines', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        name: str,
        class_name: Any,
        jar_file_path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        storage_linked_services: Optional[List["LinkedServiceReference"]] = None,
        arguments: Optional[List[Any]] = None,
        get_debug_info: Optional[Union[str, "HDInsightActivityDebugInfoOption"]] = None,
        jar_linked_service: Optional["LinkedServiceReference"] = None,
        jar_libs: Optional[List[Any]] = None,
        defines: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(HDInsightMapReduceActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'HDInsightMapReduce'  # type: str
        self.storage_linked_services = storage_linked_services
        self.arguments = arguments
        self.get_debug_info = get_debug_info
        self.class_name = class_name
        self.jar_file_path = jar_file_path
        self.jar_linked_service = jar_linked_service
        self.jar_libs = jar_libs
        self.defines = defines


class HDInsightOnDemandLinkedService(LinkedService):
    """HDInsight ondemand linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param cluster_size: Required. Number of worker/data nodes in the cluster. Suggestion value: 4.
     Type: string (or Expression with resultType string).
    :type cluster_size: any
    :param time_to_live: Required. The allowed idle time for the on-demand HDInsight cluster.
     Specifies how long the on-demand HDInsight cluster stays alive after completion of an activity
     run if there are no other active jobs in the cluster. The minimum value is 5 mins. Type: string
     (or Expression with resultType string).
    :type time_to_live: any
    :param version: Required. Version of the HDInsight cluster.  Type: string (or Expression with
     resultType string).
    :type version: any
    :param linked_service_name: Required. Azure Storage linked service to be used by the on-demand
     cluster for storing and processing data.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param host_subscription_id: Required. The customer’s subscription to host the cluster. Type:
     string (or Expression with resultType string).
    :type host_subscription_id: any
    :param service_principal_id: The service principal id for the hostSubscriptionId. Type: string
     (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: The key for the service principal id.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: Required. The Tenant id/name to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: any
    :param cluster_resource_group: Required. The resource group where the cluster belongs. Type:
     string (or Expression with resultType string).
    :type cluster_resource_group: any
    :param cluster_name_prefix: The prefix of cluster name, postfix will be distinct with
     timestamp. Type: string (or Expression with resultType string).
    :type cluster_name_prefix: any
    :param cluster_user_name: The username to access the cluster. Type: string (or Expression with
     resultType string).
    :type cluster_user_name: any
    :param cluster_password: The password to access the cluster.
    :type cluster_password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param cluster_ssh_user_name: The username to SSH remotely connect to cluster’s node (for
     Linux). Type: string (or Expression with resultType string).
    :type cluster_ssh_user_name: any
    :param cluster_ssh_password: The password to SSH remotely connect cluster’s node (for Linux).
    :type cluster_ssh_password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param additional_linked_service_names: Specifies additional storage accounts for the HDInsight
     linked service so that the Data Factory service can register them on your behalf.
    :type additional_linked_service_names:
     list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param hcatalog_linked_service_name: The name of Azure SQL linked service that point to the
     HCatalog database. The on-demand HDInsight cluster is created by using the Azure SQL database
     as the metastore.
    :type hcatalog_linked_service_name:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param cluster_type: The cluster type. Type: string (or Expression with resultType string).
    :type cluster_type: any
    :param spark_version: The version of spark if the cluster type is 'spark'. Type: string (or
     Expression with resultType string).
    :type spark_version: any
    :param core_configuration: Specifies the core configuration parameters (as in core-site.xml)
     for the HDInsight cluster to be created.
    :type core_configuration: any
    :param h_base_configuration: Specifies the HBase configuration parameters (hbase-site.xml) for
     the HDInsight cluster.
    :type h_base_configuration: any
    :param hdfs_configuration: Specifies the HDFS configuration parameters (hdfs-site.xml) for the
     HDInsight cluster.
    :type hdfs_configuration: any
    :param hive_configuration: Specifies the hive configuration parameters (hive-site.xml) for the
     HDInsight cluster.
    :type hive_configuration: any
    :param map_reduce_configuration: Specifies the MapReduce configuration parameters
     (mapred-site.xml) for the HDInsight cluster.
    :type map_reduce_configuration: any
    :param oozie_configuration: Specifies the Oozie configuration parameters (oozie-site.xml) for
     the HDInsight cluster.
    :type oozie_configuration: any
    :param storm_configuration: Specifies the Storm configuration parameters (storm-site.xml) for
     the HDInsight cluster.
    :type storm_configuration: any
    :param yarn_configuration: Specifies the Yarn configuration parameters (yarn-site.xml) for the
     HDInsight cluster.
    :type yarn_configuration: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param head_node_size: Specifies the size of the head node for the HDInsight cluster.
    :type head_node_size: any
    :param data_node_size: Specifies the size of the data node for the HDInsight cluster.
    :type data_node_size: any
    :param zookeeper_node_size: Specifies the size of the Zoo Keeper node for the HDInsight
     cluster.
    :type zookeeper_node_size: any
    :param script_actions: Custom script actions to run on HDI ondemand cluster once it's up.
     Please refer to
     https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-customize-cluster-linux?toc=%2Fen-us%2Fazure%2Fhdinsight%2Fr-server%2FTOC.json&bc=%2Fen-us%2Fazure%2Fbread%2Ftoc.json#understanding-script-actions.
    :type script_actions: list[~azure.synapse.artifacts.v2020_12_01.models.ScriptAction]
    :param virtual_network_id: The ARM resource ID for the vNet to which the cluster should be
     joined after creation. Type: string (or Expression with resultType string).
    :type virtual_network_id: any
    :param subnet_name: The ARM resource ID for the subnet in the vNet. If virtualNetworkId was
     specified, then this property is required. Type: string (or Expression with resultType string).
    :type subnet_name: any
    """

    _validation = {
        'type': {'required': True},
        'cluster_size': {'required': True},
        'time_to_live': {'required': True},
        'version': {'required': True},
        'linked_service_name': {'required': True},
        'host_subscription_id': {'required': True},
        'tenant': {'required': True},
        'cluster_resource_group': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'cluster_size': {'key': 'typeProperties.clusterSize', 'type': 'object'},
        'time_to_live': {'key': 'typeProperties.timeToLive', 'type': 'object'},
        'version': {'key': 'typeProperties.version', 'type': 'object'},
        'linked_service_name': {'key': 'typeProperties.linkedServiceName', 'type': 'LinkedServiceReference'},
        'host_subscription_id': {'key': 'typeProperties.hostSubscriptionId', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'cluster_resource_group': {'key': 'typeProperties.clusterResourceGroup', 'type': 'object'},
        'cluster_name_prefix': {'key': 'typeProperties.clusterNamePrefix', 'type': 'object'},
        'cluster_user_name': {'key': 'typeProperties.clusterUserName', 'type': 'object'},
        'cluster_password': {'key': 'typeProperties.clusterPassword', 'type': 'SecretBase'},
        'cluster_ssh_user_name': {'key': 'typeProperties.clusterSshUserName', 'type': 'object'},
        'cluster_ssh_password': {'key': 'typeProperties.clusterSshPassword', 'type': 'SecretBase'},
        'additional_linked_service_names': {'key': 'typeProperties.additionalLinkedServiceNames', 'type': '[LinkedServiceReference]'},
        'hcatalog_linked_service_name': {'key': 'typeProperties.hcatalogLinkedServiceName', 'type': 'LinkedServiceReference'},
        'cluster_type': {'key': 'typeProperties.clusterType', 'type': 'object'},
        'spark_version': {'key': 'typeProperties.sparkVersion', 'type': 'object'},
        'core_configuration': {'key': 'typeProperties.coreConfiguration', 'type': 'object'},
        'h_base_configuration': {'key': 'typeProperties.hBaseConfiguration', 'type': 'object'},
        'hdfs_configuration': {'key': 'typeProperties.hdfsConfiguration', 'type': 'object'},
        'hive_configuration': {'key': 'typeProperties.hiveConfiguration', 'type': 'object'},
        'map_reduce_configuration': {'key': 'typeProperties.mapReduceConfiguration', 'type': 'object'},
        'oozie_configuration': {'key': 'typeProperties.oozieConfiguration', 'type': 'object'},
        'storm_configuration': {'key': 'typeProperties.stormConfiguration', 'type': 'object'},
        'yarn_configuration': {'key': 'typeProperties.yarnConfiguration', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'head_node_size': {'key': 'typeProperties.headNodeSize', 'type': 'object'},
        'data_node_size': {'key': 'typeProperties.dataNodeSize', 'type': 'object'},
        'zookeeper_node_size': {'key': 'typeProperties.zookeeperNodeSize', 'type': 'object'},
        'script_actions': {'key': 'typeProperties.scriptActions', 'type': '[ScriptAction]'},
        'virtual_network_id': {'key': 'typeProperties.virtualNetworkId', 'type': 'object'},
        'subnet_name': {'key': 'typeProperties.subnetName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        cluster_size: Any,
        time_to_live: Any,
        version: Any,
        linked_service_name: "LinkedServiceReference",
        host_subscription_id: Any,
        tenant: Any,
        cluster_resource_group: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        cluster_name_prefix: Optional[Any] = None,
        cluster_user_name: Optional[Any] = None,
        cluster_password: Optional["SecretBase"] = None,
        cluster_ssh_user_name: Optional[Any] = None,
        cluster_ssh_password: Optional["SecretBase"] = None,
        additional_linked_service_names: Optional[List["LinkedServiceReference"]] = None,
        hcatalog_linked_service_name: Optional["LinkedServiceReference"] = None,
        cluster_type: Optional[Any] = None,
        spark_version: Optional[Any] = None,
        core_configuration: Optional[Any] = None,
        h_base_configuration: Optional[Any] = None,
        hdfs_configuration: Optional[Any] = None,
        hive_configuration: Optional[Any] = None,
        map_reduce_configuration: Optional[Any] = None,
        oozie_configuration: Optional[Any] = None,
        storm_configuration: Optional[Any] = None,
        yarn_configuration: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        head_node_size: Optional[Any] = None,
        data_node_size: Optional[Any] = None,
        zookeeper_node_size: Optional[Any] = None,
        script_actions: Optional[List["ScriptAction"]] = None,
        virtual_network_id: Optional[Any] = None,
        subnet_name: Optional[Any] = None,
        **kwargs
    ):
        super(HDInsightOnDemandLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'HDInsightOnDemand'  # type: str
        self.cluster_size = cluster_size
        self.time_to_live = time_to_live
        self.version = version
        self.linked_service_name = linked_service_name
        self.host_subscription_id = host_subscription_id
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.cluster_resource_group = cluster_resource_group
        self.cluster_name_prefix = cluster_name_prefix
        self.cluster_user_name = cluster_user_name
        self.cluster_password = cluster_password
        self.cluster_ssh_user_name = cluster_ssh_user_name
        self.cluster_ssh_password = cluster_ssh_password
        self.additional_linked_service_names = additional_linked_service_names
        self.hcatalog_linked_service_name = hcatalog_linked_service_name
        self.cluster_type = cluster_type
        self.spark_version = spark_version
        self.core_configuration = core_configuration
        self.h_base_configuration = h_base_configuration
        self.hdfs_configuration = hdfs_configuration
        self.hive_configuration = hive_configuration
        self.map_reduce_configuration = map_reduce_configuration
        self.oozie_configuration = oozie_configuration
        self.storm_configuration = storm_configuration
        self.yarn_configuration = yarn_configuration
        self.encrypted_credential = encrypted_credential
        self.head_node_size = head_node_size
        self.data_node_size = data_node_size
        self.zookeeper_node_size = zookeeper_node_size
        self.script_actions = script_actions
        self.virtual_network_id = virtual_network_id
        self.subnet_name = subnet_name


class HDInsightPigActivity(ExecutionActivity):
    """HDInsight Pig activity type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param storage_linked_services: Storage linked service references.
    :type storage_linked_services:
     list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param arguments: User specified arguments to HDInsightActivity. Type: array (or Expression
     with resultType array).
    :type arguments: any
    :param get_debug_info: Debug info option. Possible values include: "None", "Always", "Failure".
    :type get_debug_info: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HDInsightActivityDebugInfoOption
    :param script_path: Script path. Type: string (or Expression with resultType string).
    :type script_path: any
    :param script_linked_service: Script linked service reference.
    :type script_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param defines: Allows user to specify defines for Pig job request.
    :type defines: dict[str, any]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'storage_linked_services': {'key': 'typeProperties.storageLinkedServices', 'type': '[LinkedServiceReference]'},
        'arguments': {'key': 'typeProperties.arguments', 'type': 'object'},
        'get_debug_info': {'key': 'typeProperties.getDebugInfo', 'type': 'str'},
        'script_path': {'key': 'typeProperties.scriptPath', 'type': 'object'},
        'script_linked_service': {'key': 'typeProperties.scriptLinkedService', 'type': 'LinkedServiceReference'},
        'defines': {'key': 'typeProperties.defines', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        storage_linked_services: Optional[List["LinkedServiceReference"]] = None,
        arguments: Optional[Any] = None,
        get_debug_info: Optional[Union[str, "HDInsightActivityDebugInfoOption"]] = None,
        script_path: Optional[Any] = None,
        script_linked_service: Optional["LinkedServiceReference"] = None,
        defines: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(HDInsightPigActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'HDInsightPig'  # type: str
        self.storage_linked_services = storage_linked_services
        self.arguments = arguments
        self.get_debug_info = get_debug_info
        self.script_path = script_path
        self.script_linked_service = script_linked_service
        self.defines = defines


class HDInsightSparkActivity(ExecutionActivity):
    """HDInsight Spark activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param root_path: Required. The root path in 'sparkJobLinkedService' for all the job’s files.
     Type: string (or Expression with resultType string).
    :type root_path: any
    :param entry_file_path: Required. The relative path to the root folder of the code/package to
     be executed. Type: string (or Expression with resultType string).
    :type entry_file_path: any
    :param arguments: The user-specified arguments to HDInsightSparkActivity.
    :type arguments: list[any]
    :param get_debug_info: Debug info option. Possible values include: "None", "Always", "Failure".
    :type get_debug_info: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HDInsightActivityDebugInfoOption
    :param spark_job_linked_service: The storage linked service for uploading the entry file and
     dependencies, and for receiving logs.
    :type spark_job_linked_service:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param class_name: The application's Java/Spark main class.
    :type class_name: str
    :param proxy_user: The user to impersonate that will execute the job. Type: string (or
     Expression with resultType string).
    :type proxy_user: any
    :param spark_config: Spark configuration property.
    :type spark_config: dict[str, any]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'root_path': {'required': True},
        'entry_file_path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'root_path': {'key': 'typeProperties.rootPath', 'type': 'object'},
        'entry_file_path': {'key': 'typeProperties.entryFilePath', 'type': 'object'},
        'arguments': {'key': 'typeProperties.arguments', 'type': '[object]'},
        'get_debug_info': {'key': 'typeProperties.getDebugInfo', 'type': 'str'},
        'spark_job_linked_service': {'key': 'typeProperties.sparkJobLinkedService', 'type': 'LinkedServiceReference'},
        'class_name': {'key': 'typeProperties.className', 'type': 'str'},
        'proxy_user': {'key': 'typeProperties.proxyUser', 'type': 'object'},
        'spark_config': {'key': 'typeProperties.sparkConfig', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        name: str,
        root_path: Any,
        entry_file_path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        arguments: Optional[List[Any]] = None,
        get_debug_info: Optional[Union[str, "HDInsightActivityDebugInfoOption"]] = None,
        spark_job_linked_service: Optional["LinkedServiceReference"] = None,
        class_name: Optional[str] = None,
        proxy_user: Optional[Any] = None,
        spark_config: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(HDInsightSparkActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'HDInsightSpark'  # type: str
        self.root_path = root_path
        self.entry_file_path = entry_file_path
        self.arguments = arguments
        self.get_debug_info = get_debug_info
        self.spark_job_linked_service = spark_job_linked_service
        self.class_name = class_name
        self.proxy_user = proxy_user
        self.spark_config = spark_config


class HDInsightStreamingActivity(ExecutionActivity):
    """HDInsight streaming activity type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param storage_linked_services: Storage linked service references.
    :type storage_linked_services:
     list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param arguments: User specified arguments to HDInsightActivity.
    :type arguments: list[any]
    :param get_debug_info: Debug info option. Possible values include: "None", "Always", "Failure".
    :type get_debug_info: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HDInsightActivityDebugInfoOption
    :param mapper: Required. Mapper executable name. Type: string (or Expression with resultType
     string).
    :type mapper: any
    :param reducer: Required. Reducer executable name. Type: string (or Expression with resultType
     string).
    :type reducer: any
    :param input: Required. Input blob path. Type: string (or Expression with resultType string).
    :type input: any
    :param output: Required. Output blob path. Type: string (or Expression with resultType string).
    :type output: any
    :param file_paths: Required. Paths to streaming job files. Can be directories.
    :type file_paths: list[any]
    :param file_linked_service: Linked service reference where the files are located.
    :type file_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param combiner: Combiner executable name. Type: string (or Expression with resultType string).
    :type combiner: any
    :param command_environment: Command line environment values.
    :type command_environment: list[any]
    :param defines: Allows user to specify defines for streaming job request.
    :type defines: dict[str, any]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'mapper': {'required': True},
        'reducer': {'required': True},
        'input': {'required': True},
        'output': {'required': True},
        'file_paths': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'storage_linked_services': {'key': 'typeProperties.storageLinkedServices', 'type': '[LinkedServiceReference]'},
        'arguments': {'key': 'typeProperties.arguments', 'type': '[object]'},
        'get_debug_info': {'key': 'typeProperties.getDebugInfo', 'type': 'str'},
        'mapper': {'key': 'typeProperties.mapper', 'type': 'object'},
        'reducer': {'key': 'typeProperties.reducer', 'type': 'object'},
        'input': {'key': 'typeProperties.input', 'type': 'object'},
        'output': {'key': 'typeProperties.output', 'type': 'object'},
        'file_paths': {'key': 'typeProperties.filePaths', 'type': '[object]'},
        'file_linked_service': {'key': 'typeProperties.fileLinkedService', 'type': 'LinkedServiceReference'},
        'combiner': {'key': 'typeProperties.combiner', 'type': 'object'},
        'command_environment': {'key': 'typeProperties.commandEnvironment', 'type': '[object]'},
        'defines': {'key': 'typeProperties.defines', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        name: str,
        mapper: Any,
        reducer: Any,
        input: Any,
        output: Any,
        file_paths: List[Any],
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        storage_linked_services: Optional[List["LinkedServiceReference"]] = None,
        arguments: Optional[List[Any]] = None,
        get_debug_info: Optional[Union[str, "HDInsightActivityDebugInfoOption"]] = None,
        file_linked_service: Optional["LinkedServiceReference"] = None,
        combiner: Optional[Any] = None,
        command_environment: Optional[List[Any]] = None,
        defines: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(HDInsightStreamingActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'HDInsightStreaming'  # type: str
        self.storage_linked_services = storage_linked_services
        self.arguments = arguments
        self.get_debug_info = get_debug_info
        self.mapper = mapper
        self.reducer = reducer
        self.input = input
        self.output = output
        self.file_paths = file_paths
        self.file_linked_service = file_linked_service
        self.combiner = combiner
        self.command_environment = command_environment
        self.defines = defines


class HiveLinkedService(LinkedService):
    """Hive Server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. IP address or host name of the Hive server, separated by ';' for
     multiple hosts (only when serviceDiscoveryMode is enable).
    :type host: any
    :param port: The TCP port that the Hive server uses to listen for client connections.
    :type port: any
    :param server_type: The type of Hive server. Possible values include: "HiveServer1",
     "HiveServer2", "HiveThriftServer".
    :type server_type: str or ~azure.synapse.artifacts.v2020_12_01.models.HiveServerType
    :param thrift_transport_protocol: The transport protocol to use in the Thrift layer. Possible
     values include: "Binary", "SASL", "HTTP ".
    :type thrift_transport_protocol: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HiveThriftTransportProtocol
    :param authentication_type: Required. The authentication method used to access the Hive server.
     Possible values include: "Anonymous", "Username", "UsernameAndPassword",
     "WindowsAzureHDInsightService".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HiveAuthenticationType
    :param service_discovery_mode: true to indicate using the ZooKeeper service, false not.
    :type service_discovery_mode: any
    :param zoo_keeper_name_space: The namespace on ZooKeeper under which Hive Server 2 nodes are
     added.
    :type zoo_keeper_name_space: any
    :param use_native_query: Specifies whether the driver uses native HiveQL queries,or converts
     them into an equivalent form in HiveQL.
    :type use_native_query: any
    :param username: The user name that you use to access Hive Server.
    :type username: any
    :param password: The password corresponding to the user name that you provided in the Username
     field.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param http_path: The partial URL corresponding to the Hive server.
    :type http_path: any
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false.
    :type enable_ssl: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param allow_host_name_cn_mismatch: Specifies whether to require a CA-issued SSL certificate
     name to match the host name of the server when connecting over SSL. The default value is false.
    :type allow_host_name_cn_mismatch: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false.
    :type allow_self_signed_server_cert: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'server_type': {'key': 'typeProperties.serverType', 'type': 'str'},
        'thrift_transport_protocol': {'key': 'typeProperties.thriftTransportProtocol', 'type': 'str'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'service_discovery_mode': {'key': 'typeProperties.serviceDiscoveryMode', 'type': 'object'},
        'zoo_keeper_name_space': {'key': 'typeProperties.zooKeeperNameSpace', 'type': 'object'},
        'use_native_query': {'key': 'typeProperties.useNativeQuery', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'http_path': {'key': 'typeProperties.httpPath', 'type': 'object'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'allow_host_name_cn_mismatch': {'key': 'typeProperties.allowHostNameCNMismatch', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        authentication_type: Union[str, "HiveAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        server_type: Optional[Union[str, "HiveServerType"]] = None,
        thrift_transport_protocol: Optional[Union[str, "HiveThriftTransportProtocol"]] = None,
        service_discovery_mode: Optional[Any] = None,
        zoo_keeper_name_space: Optional[Any] = None,
        use_native_query: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        http_path: Optional[Any] = None,
        enable_ssl: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        allow_host_name_cn_mismatch: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(HiveLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Hive'  # type: str
        self.host = host
        self.port = port
        self.server_type = server_type
        self.thrift_transport_protocol = thrift_transport_protocol
        self.authentication_type = authentication_type
        self.service_discovery_mode = service_discovery_mode
        self.zoo_keeper_name_space = zoo_keeper_name_space
        self.use_native_query = use_native_query
        self.username = username
        self.password = password
        self.http_path = http_path
        self.enable_ssl = enable_ssl
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.allow_host_name_cn_mismatch = allow_host_name_cn_mismatch
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.encrypted_credential = encrypted_credential


class HiveObjectDataset(Dataset):
    """Hive Server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Hive. Type: string (or Expression with resultType string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Hive. Type: string (or Expression
     with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(HiveObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'HiveObject'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class HiveSource(TabularSource):
    """A copy activity Hive Server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(HiveSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'HiveSource'  # type: str
        self.query = query


class HttpDataset(Dataset):
    """A file in an HTTP web server.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param relative_url: The relative URL based on the URL in the HttpLinkedService refers to an
     HTTP file Type: string (or Expression with resultType string).
    :type relative_url: any
    :param request_method: The HTTP method for the HTTP request. Type: string (or Expression with
     resultType string).
    :type request_method: any
    :param request_body: The body for the HTTP request. Type: string (or Expression with resultType
     string).
    :type request_body: any
    :param additional_headers: The headers for the HTTP Request. e.g.
     request-header-name-1:request-header-value-1
     ...
     request-header-name-n:request-header-value-n Type: string (or Expression with resultType
     string).
    :type additional_headers: any
    :param format: The format of files.
    :type format: ~azure.synapse.artifacts.v2020_12_01.models.DatasetStorageFormat
    :param compression: The data compression method used on files.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'relative_url': {'key': 'typeProperties.relativeUrl', 'type': 'object'},
        'request_method': {'key': 'typeProperties.requestMethod', 'type': 'object'},
        'request_body': {'key': 'typeProperties.requestBody', 'type': 'object'},
        'additional_headers': {'key': 'typeProperties.additionalHeaders', 'type': 'object'},
        'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        relative_url: Optional[Any] = None,
        request_method: Optional[Any] = None,
        request_body: Optional[Any] = None,
        additional_headers: Optional[Any] = None,
        format: Optional["DatasetStorageFormat"] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(HttpDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'HttpFile'  # type: str
        self.relative_url = relative_url
        self.request_method = request_method
        self.request_body = request_body
        self.additional_headers = additional_headers
        self.format = format
        self.compression = compression


class HttpLinkedService(LinkedService):
    """Linked service for an HTTP source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The base URL of the HTTP endpoint, e.g. http://www.microsoft.com. Type:
     string (or Expression with resultType string).
    :type url: any
    :param authentication_type: The authentication type to be used to connect to the HTTP server.
     Possible values include: "Basic", "Anonymous", "Digest", "Windows", "ClientCertificate".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.HttpAuthenticationType
    :param user_name: User name for Basic, Digest, or Windows authentication. Type: string (or
     Expression with resultType string).
    :type user_name: any
    :param password: Password for Basic, Digest, Windows, or ClientCertificate with
     EmbeddedCertData authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param embedded_cert_data: Base64 encoded certificate data for ClientCertificate
     authentication. For on-premises copy with ClientCertificate authentication, either
     CertThumbprint or EmbeddedCertData/Password should be specified. Type: string (or Expression
     with resultType string).
    :type embedded_cert_data: any
    :param cert_thumbprint: Thumbprint of certificate for ClientCertificate authentication. Only
     valid for on-premises copy. For on-premises copy with ClientCertificate authentication, either
     CertThumbprint or EmbeddedCertData/Password should be specified. Type: string (or Expression
     with resultType string).
    :type cert_thumbprint: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param enable_server_certificate_validation: If true, validate the HTTPS server SSL
     certificate. Default value is true. Type: boolean (or Expression with resultType boolean).
    :type enable_server_certificate_validation: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'embedded_cert_data': {'key': 'typeProperties.embeddedCertData', 'type': 'object'},
        'cert_thumbprint': {'key': 'typeProperties.certThumbprint', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'enable_server_certificate_validation': {'key': 'typeProperties.enableServerCertificateValidation', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Union[str, "HttpAuthenticationType"]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        embedded_cert_data: Optional[Any] = None,
        cert_thumbprint: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        enable_server_certificate_validation: Optional[Any] = None,
        **kwargs
    ):
        super(HttpLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'HttpServer'  # type: str
        self.url = url
        self.authentication_type = authentication_type
        self.user_name = user_name
        self.password = password
        self.embedded_cert_data = embedded_cert_data
        self.cert_thumbprint = cert_thumbprint
        self.encrypted_credential = encrypted_credential
        self.enable_server_certificate_validation = enable_server_certificate_validation


class HttpReadSettings(StoreReadSettings):
    """Sftp read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param request_method: The HTTP method used to call the RESTful API. The default is GET. Type:
     string (or Expression with resultType string).
    :type request_method: any
    :param request_body: The HTTP request body to the RESTful API if requestMethod is POST. Type:
     string (or Expression with resultType string).
    :type request_body: any
    :param additional_headers: The additional HTTP headers in the request to the RESTful API. Type:
     string (or Expression with resultType string).
    :type additional_headers: any
    :param request_timeout: Specifies the timeout for a HTTP client to get HTTP response from HTTP
     server.
    :type request_timeout: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'request_method': {'key': 'requestMethod', 'type': 'object'},
        'request_body': {'key': 'requestBody', 'type': 'object'},
        'additional_headers': {'key': 'additionalHeaders', 'type': 'object'},
        'request_timeout': {'key': 'requestTimeout', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        request_method: Optional[Any] = None,
        request_body: Optional[Any] = None,
        additional_headers: Optional[Any] = None,
        request_timeout: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        **kwargs
    ):
        super(HttpReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'HttpReadSettings'  # type: str
        self.request_method = request_method
        self.request_body = request_body
        self.additional_headers = additional_headers
        self.request_timeout = request_timeout
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path


class HttpServerLocation(DatasetLocation):
    """The location of http server.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    :param relative_url: Specify the relativeUrl of http server. Type: string (or Expression with
     resultType string).
    :type relative_url: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
        'relative_url': {'key': 'relativeUrl', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        relative_url: Optional[Any] = None,
        **kwargs
    ):
        super(HttpServerLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'HttpServerLocation'  # type: str
        self.relative_url = relative_url


class HttpSource(CopySource):
    """A copy activity source for an HTTP file.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param http_request_timeout: Specifies the timeout for a HTTP client to get HTTP response from
     HTTP server. The default value is equivalent to System.Net.HttpWebRequest.Timeout. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(HttpSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'HttpSource'  # type: str
        self.http_request_timeout = http_request_timeout


class HubspotLinkedService(LinkedService):
    """Hubspot Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param client_id: Required. The client ID associated with your Hubspot application.
    :type client_id: any
    :param client_secret: The client secret associated with your Hubspot application.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param access_token: The access token obtained when initially authenticating your OAuth
     integration.
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param refresh_token: The refresh token obtained when initially authenticating your OAuth
     integration.
    :type refresh_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'refresh_token': {'key': 'typeProperties.refreshToken', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        client_secret: Optional["SecretBase"] = None,
        access_token: Optional["SecretBase"] = None,
        refresh_token: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(HubspotLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Hubspot'  # type: str
        self.client_id = client_id
        self.client_secret = client_secret
        self.access_token = access_token
        self.refresh_token = refresh_token
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class HubspotObjectDataset(Dataset):
    """Hubspot Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(HubspotObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'HubspotObject'  # type: str
        self.table_name = table_name


class HubspotSource(TabularSource):
    """A copy activity Hubspot Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(HubspotSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'HubspotSource'  # type: str
        self.query = query


class IfConditionActivity(ControlActivity):
    """This activity evaluates a boolean expression and executes either the activities under the ifTrueActivities property or the ifFalseActivities property depending on the result of the expression.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param expression: Required. An expression that would evaluate to Boolean. This is used to
     determine the block of activities (ifTrueActivities or ifFalseActivities) that will be
     executed.
    :type expression: ~azure.synapse.artifacts.v2020_12_01.models.Expression
    :param if_true_activities: List of activities to execute if expression is evaluated to true.
     This is an optional property and if not provided, the activity will exit without any action.
    :type if_true_activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    :param if_false_activities: List of activities to execute if expression is evaluated to false.
     This is an optional property and if not provided, the activity will exit without any action.
    :type if_false_activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'expression': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'expression': {'key': 'typeProperties.expression', 'type': 'Expression'},
        'if_true_activities': {'key': 'typeProperties.ifTrueActivities', 'type': '[Activity]'},
        'if_false_activities': {'key': 'typeProperties.ifFalseActivities', 'type': '[Activity]'},
    }

    def __init__(
        self,
        *,
        name: str,
        expression: "Expression",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        if_true_activities: Optional[List["Activity"]] = None,
        if_false_activities: Optional[List["Activity"]] = None,
        **kwargs
    ):
        super(IfConditionActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'IfCondition'  # type: str
        self.expression = expression
        self.if_true_activities = if_true_activities
        self.if_false_activities = if_false_activities


class ImpalaLinkedService(LinkedService):
    """Impala server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The IP address or host name of the Impala server. (i.e.
     192.168.222.160).
    :type host: any
    :param port: The TCP port that the Impala server uses to listen for client connections. The
     default value is 21050.
    :type port: any
    :param authentication_type: Required. The authentication type to use. Possible values include:
     "Anonymous", "SASLUsername", "UsernameAndPassword".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.ImpalaAuthenticationType
    :param username: The user name used to access the Impala server. The default value is anonymous
     when using SASLUsername.
    :type username: any
    :param password: The password corresponding to the user name when using UsernameAndPassword.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false.
    :type enable_ssl: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param allow_host_name_cn_mismatch: Specifies whether to require a CA-issued SSL certificate
     name to match the host name of the server when connecting over SSL. The default value is false.
    :type allow_host_name_cn_mismatch: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false.
    :type allow_self_signed_server_cert: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'allow_host_name_cn_mismatch': {'key': 'typeProperties.allowHostNameCNMismatch', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        authentication_type: Union[str, "ImpalaAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        enable_ssl: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        allow_host_name_cn_mismatch: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ImpalaLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Impala'  # type: str
        self.host = host
        self.port = port
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.enable_ssl = enable_ssl
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.allow_host_name_cn_mismatch = allow_host_name_cn_mismatch
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.encrypted_credential = encrypted_credential


class ImpalaObjectDataset(Dataset):
    """Impala server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Impala. Type: string (or Expression with resultType
     string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Impala. Type: string (or
     Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(ImpalaObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ImpalaObject'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class ImpalaSource(TabularSource):
    """A copy activity Impala server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(ImpalaSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'ImpalaSource'  # type: str
        self.query = query


class InformixLinkedService(LinkedService):
    """Informix linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The non-access credential portion of the connection string
     as well as an optional encrypted credential. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param authentication_type: Type of authentication used to connect to the Informix as ODBC data
     store. Possible values are: Anonymous and Basic. Type: string (or Expression with resultType
     string).
    :type authentication_type: any
    :param credential: The access credential portion of the connection string specified in
     driver-specific property-value format.
    :type credential: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param user_name: User name for Basic authentication. Type: string (or Expression with
     resultType string).
    :type user_name: any
    :param password: Password for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'object'},
        'credential': {'key': 'typeProperties.credential', 'type': 'SecretBase'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Any] = None,
        credential: Optional["SecretBase"] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(InformixLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Informix'  # type: str
        self.connection_string = connection_string
        self.authentication_type = authentication_type
        self.credential = credential
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential


class InformixSink(CopySink):
    """A copy activity Informix sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: A query to execute before starting the copy. Type: string (or
     Expression with resultType string).
    :type pre_copy_script: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        **kwargs
    ):
        super(InformixSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'InformixSink'  # type: str
        self.pre_copy_script = pre_copy_script


class InformixSource(TabularSource):
    """A copy activity source for Informix.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(InformixSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'InformixSource'  # type: str
        self.query = query


class InformixTableDataset(Dataset):
    """The Informix table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The Informix table name. Type: string (or Expression with resultType
     string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(InformixTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'InformixTable'  # type: str
        self.table_name = table_name


class IntegrationRuntime(msrest.serialization.Model):
    """Azure Synapse nested object which serves as a compute resource for activities.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: ManagedIntegrationRuntime, SelfHostedIntegrationRuntime.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of integration runtime.Constant filled by server.  Possible values
     include: "Managed", "SelfHosted".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeType
    :param description: Integration runtime description.
    :type description: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
    }

    _subtype_map = {
        'type': {'Managed': 'ManagedIntegrationRuntime', 'SelfHosted': 'SelfHostedIntegrationRuntime'}
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        **kwargs
    ):
        super(IntegrationRuntime, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = 'IntegrationRuntime'  # type: str
        self.description = description


class IntegrationRuntimeComputeProperties(msrest.serialization.Model):
    """The compute resource properties for managed integration runtime.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param location: The location for managed integration runtime. The supported regions could be
     found on
     https://docs.microsoft.com/en-us/azure/data-factory/data-factory-data-movement-activities.
    :type location: str
    :param node_size: The node size requirement to managed integration runtime.
    :type node_size: str
    :param number_of_nodes: The required number of nodes for managed integration runtime.
    :type number_of_nodes: int
    :param max_parallel_executions_per_node: Maximum parallel executions count per node for managed
     integration runtime.
    :type max_parallel_executions_per_node: int
    :param data_flow_properties: Data flow properties for managed integration runtime.
    :type data_flow_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeDataFlowProperties
    :param v_net_properties: VNet properties for managed integration runtime.
    :type v_net_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeVNetProperties
    """

    _validation = {
        'number_of_nodes': {'minimum': 1},
        'max_parallel_executions_per_node': {'minimum': 1},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'location': {'key': 'location', 'type': 'str'},
        'node_size': {'key': 'nodeSize', 'type': 'str'},
        'number_of_nodes': {'key': 'numberOfNodes', 'type': 'int'},
        'max_parallel_executions_per_node': {'key': 'maxParallelExecutionsPerNode', 'type': 'int'},
        'data_flow_properties': {'key': 'dataFlowProperties', 'type': 'IntegrationRuntimeDataFlowProperties'},
        'v_net_properties': {'key': 'vNetProperties', 'type': 'IntegrationRuntimeVNetProperties'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        location: Optional[str] = None,
        node_size: Optional[str] = None,
        number_of_nodes: Optional[int] = None,
        max_parallel_executions_per_node: Optional[int] = None,
        data_flow_properties: Optional["IntegrationRuntimeDataFlowProperties"] = None,
        v_net_properties: Optional["IntegrationRuntimeVNetProperties"] = None,
        **kwargs
    ):
        super(IntegrationRuntimeComputeProperties, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.location = location
        self.node_size = node_size
        self.number_of_nodes = number_of_nodes
        self.max_parallel_executions_per_node = max_parallel_executions_per_node
        self.data_flow_properties = data_flow_properties
        self.v_net_properties = v_net_properties


class IntegrationRuntimeCustomSetupScriptProperties(msrest.serialization.Model):
    """Custom setup script properties for a managed dedicated integration runtime.

    :param blob_container_uri: The URI of the Azure blob container that contains the custom setup
     script.
    :type blob_container_uri: str
    :param sas_token: The SAS token of the Azure blob container.
    :type sas_token: ~azure.synapse.artifacts.v2020_12_01.models.SecureString
    """

    _attribute_map = {
        'blob_container_uri': {'key': 'blobContainerUri', 'type': 'str'},
        'sas_token': {'key': 'sasToken', 'type': 'SecureString'},
    }

    def __init__(
        self,
        *,
        blob_container_uri: Optional[str] = None,
        sas_token: Optional["SecureString"] = None,
        **kwargs
    ):
        super(IntegrationRuntimeCustomSetupScriptProperties, self).__init__(**kwargs)
        self.blob_container_uri = blob_container_uri
        self.sas_token = sas_token


class IntegrationRuntimeDataFlowProperties(msrest.serialization.Model):
    """Data flow properties for managed integration runtime.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param compute_type: Compute type of the cluster which will execute data flow job. Possible
     values include: "General", "MemoryOptimized", "ComputeOptimized".
    :type compute_type: str or ~azure.synapse.artifacts.v2020_12_01.models.DataFlowComputeType
    :param core_count: Core count of the cluster which will execute data flow job. Supported values
     are: 8, 16, 32, 48, 80, 144 and 272.
    :type core_count: int
    :param time_to_live: Time to live (in minutes) setting of the cluster which will execute data
     flow job.
    :type time_to_live: int
    """

    _validation = {
        'time_to_live': {'minimum': 0},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'compute_type': {'key': 'computeType', 'type': 'str'},
        'core_count': {'key': 'coreCount', 'type': 'int'},
        'time_to_live': {'key': 'timeToLive', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        compute_type: Optional[Union[str, "DataFlowComputeType"]] = None,
        core_count: Optional[int] = None,
        time_to_live: Optional[int] = None,
        **kwargs
    ):
        super(IntegrationRuntimeDataFlowProperties, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.compute_type = compute_type
        self.core_count = core_count
        self.time_to_live = time_to_live


class IntegrationRuntimeDataProxyProperties(msrest.serialization.Model):
    """Data proxy properties for a managed dedicated integration runtime.

    :param connect_via: The self-hosted integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.EntityReference
    :param staging_linked_service: The staging linked service reference.
    :type staging_linked_service: ~azure.synapse.artifacts.v2020_12_01.models.EntityReference
    :param path: The path to contain the staged data in the Blob storage.
    :type path: str
    """

    _attribute_map = {
        'connect_via': {'key': 'connectVia', 'type': 'EntityReference'},
        'staging_linked_service': {'key': 'stagingLinkedService', 'type': 'EntityReference'},
        'path': {'key': 'path', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        connect_via: Optional["EntityReference"] = None,
        staging_linked_service: Optional["EntityReference"] = None,
        path: Optional[str] = None,
        **kwargs
    ):
        super(IntegrationRuntimeDataProxyProperties, self).__init__(**kwargs)
        self.connect_via = connect_via
        self.staging_linked_service = staging_linked_service
        self.path = path


class IntegrationRuntimeListResponse(msrest.serialization.Model):
    """A list of integration runtime resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of integration runtimes.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[IntegrationRuntimeResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["IntegrationRuntimeResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(IntegrationRuntimeListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class IntegrationRuntimeReference(msrest.serialization.Model):
    """Integration runtime reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Type of integration runtime. Possible values include:
     "IntegrationRuntimeReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReferenceType
    :param reference_name: Required. Reference integration runtime name.
    :type reference_name: str
    :param parameters: Arguments for integration runtime.
    :type parameters: dict[str, any]
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "IntegrationRuntimeReferenceType"],
        reference_name: str,
        parameters: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(IntegrationRuntimeReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name
        self.parameters = parameters


class IntegrationRuntimeResource(SubResource):
    """Integration runtime resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Integration runtime properties.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntime
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'IntegrationRuntime'},
    }

    def __init__(
        self,
        *,
        properties: "IntegrationRuntime",
        **kwargs
    ):
        super(IntegrationRuntimeResource, self).__init__(**kwargs)
        self.properties = properties


class IntegrationRuntimeSsisCatalogInfo(msrest.serialization.Model):
    """Catalog information for managed dedicated integration runtime.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param catalog_server_endpoint: The catalog database server URL.
    :type catalog_server_endpoint: str
    :param catalog_admin_user_name: The administrator user name of catalog database.
    :type catalog_admin_user_name: str
    :param catalog_admin_password: The password of the administrator user account of the catalog
     database.
    :type catalog_admin_password: ~azure.synapse.artifacts.v2020_12_01.models.SecureString
    :param catalog_pricing_tier: The pricing tier for the catalog database. The valid values could
     be found in https://azure.microsoft.com/en-us/pricing/details/sql-database/. Possible values
     include: "Basic", "Standard", "Premium", "PremiumRS".
    :type catalog_pricing_tier: str or
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeSsisCatalogPricingTier
    """

    _validation = {
        'catalog_admin_user_name': {'max_length': 128, 'min_length': 1},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'catalog_server_endpoint': {'key': 'catalogServerEndpoint', 'type': 'str'},
        'catalog_admin_user_name': {'key': 'catalogAdminUserName', 'type': 'str'},
        'catalog_admin_password': {'key': 'catalogAdminPassword', 'type': 'SecureString'},
        'catalog_pricing_tier': {'key': 'catalogPricingTier', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        catalog_server_endpoint: Optional[str] = None,
        catalog_admin_user_name: Optional[str] = None,
        catalog_admin_password: Optional["SecureString"] = None,
        catalog_pricing_tier: Optional[Union[str, "IntegrationRuntimeSsisCatalogPricingTier"]] = None,
        **kwargs
    ):
        super(IntegrationRuntimeSsisCatalogInfo, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.catalog_server_endpoint = catalog_server_endpoint
        self.catalog_admin_user_name = catalog_admin_user_name
        self.catalog_admin_password = catalog_admin_password
        self.catalog_pricing_tier = catalog_pricing_tier


class IntegrationRuntimeSsisProperties(msrest.serialization.Model):
    """SSIS properties for managed integration runtime.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param catalog_info: Catalog information for managed dedicated integration runtime.
    :type catalog_info:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeSsisCatalogInfo
    :param license_type: License type for bringing your own license scenario. Possible values
     include: "BasePrice", "LicenseIncluded".
    :type license_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeLicenseType
    :param custom_setup_script_properties: Custom setup script properties for a managed dedicated
     integration runtime.
    :type custom_setup_script_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeCustomSetupScriptProperties
    :param data_proxy_properties: Data proxy properties for a managed dedicated integration
     runtime.
    :type data_proxy_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeDataProxyProperties
    :param edition: The edition for the SSIS Integration Runtime. Possible values include:
     "Standard", "Enterprise".
    :type edition: str or ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeEdition
    :param express_custom_setup_properties: Custom setup without script properties for a SSIS
     integration runtime.
    :type express_custom_setup_properties:
     list[~azure.synapse.artifacts.v2020_12_01.models.CustomSetupBase]
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'catalog_info': {'key': 'catalogInfo', 'type': 'IntegrationRuntimeSsisCatalogInfo'},
        'license_type': {'key': 'licenseType', 'type': 'str'},
        'custom_setup_script_properties': {'key': 'customSetupScriptProperties', 'type': 'IntegrationRuntimeCustomSetupScriptProperties'},
        'data_proxy_properties': {'key': 'dataProxyProperties', 'type': 'IntegrationRuntimeDataProxyProperties'},
        'edition': {'key': 'edition', 'type': 'str'},
        'express_custom_setup_properties': {'key': 'expressCustomSetupProperties', 'type': '[CustomSetupBase]'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        catalog_info: Optional["IntegrationRuntimeSsisCatalogInfo"] = None,
        license_type: Optional[Union[str, "IntegrationRuntimeLicenseType"]] = None,
        custom_setup_script_properties: Optional["IntegrationRuntimeCustomSetupScriptProperties"] = None,
        data_proxy_properties: Optional["IntegrationRuntimeDataProxyProperties"] = None,
        edition: Optional[Union[str, "IntegrationRuntimeEdition"]] = None,
        express_custom_setup_properties: Optional[List["CustomSetupBase"]] = None,
        **kwargs
    ):
        super(IntegrationRuntimeSsisProperties, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.catalog_info = catalog_info
        self.license_type = license_type
        self.custom_setup_script_properties = custom_setup_script_properties
        self.data_proxy_properties = data_proxy_properties
        self.edition = edition
        self.express_custom_setup_properties = express_custom_setup_properties


class IntegrationRuntimeVNetProperties(msrest.serialization.Model):
    """VNet properties for managed integration runtime.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param v_net_id: The ID of the VNet that this integration runtime will join.
    :type v_net_id: str
    :param subnet: The name of the subnet this integration runtime will join.
    :type subnet: str
    :param public_i_ps: Resource IDs of the public IP addresses that this integration runtime will
     use.
    :type public_i_ps: list[str]
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'v_net_id': {'key': 'vNetId', 'type': 'str'},
        'subnet': {'key': 'subnet', 'type': 'str'},
        'public_i_ps': {'key': 'publicIPs', 'type': '[str]'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        v_net_id: Optional[str] = None,
        subnet: Optional[str] = None,
        public_i_ps: Optional[List[str]] = None,
        **kwargs
    ):
        super(IntegrationRuntimeVNetProperties, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.v_net_id = v_net_id
        self.subnet = subnet
        self.public_i_ps = public_i_ps


class JiraLinkedService(LinkedService):
    """Jira Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The IP address or host name of the Jira service. (e.g.
     jira.example.com).
    :type host: any
    :param port: The TCP port that the Jira server uses to listen for client connections. The
     default value is 443 if connecting through HTTPS, or 8080 if connecting through HTTP.
    :type port: any
    :param username: Required. The user name that you use to access Jira Service.
    :type username: any
    :param password: The password corresponding to the user name that you provided in the username
     field.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'username': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        username: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(JiraLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Jira'  # type: str
        self.host = host
        self.port = port
        self.username = username
        self.password = password
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class JiraObjectDataset(Dataset):
    """Jira Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(JiraObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'JiraObject'  # type: str
        self.table_name = table_name


class JiraSource(TabularSource):
    """A copy activity Jira Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(JiraSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'JiraSource'  # type: str
        self.query = query


class JsonDataset(Dataset):
    """Json dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the json data storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param encoding_name: The code page name of the preferred encoding. If not specified, the
     default value is UTF-8, unless BOM denotes another Unicode encoding. Refer to the name column
     of the table in the following link to set supported values:
     https://msdn.microsoft.com/library/system.text.encoding.aspx. Type: string (or Expression with
     resultType string).
    :type encoding_name: any
    :param compression: The data compression method used for the json dataset.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'encoding_name': {'key': 'typeProperties.encodingName', 'type': 'object'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        encoding_name: Optional[Any] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(JsonDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Json'  # type: str
        self.location = location
        self.encoding_name = encoding_name
        self.compression = compression


class JsonFormat(DatasetStorageFormat):
    """The data stored in JSON format.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage format.Constant filled by server.
    :type type: str
    :param serializer: Serializer. Type: string (or Expression with resultType string).
    :type serializer: any
    :param deserializer: Deserializer. Type: string (or Expression with resultType string).
    :type deserializer: any
    :param file_pattern: File pattern of JSON. To be more specific, the way of separating a
     collection of JSON objects. The default value is 'setOfObjects'. It is case-sensitive. Possible
     values include: "setOfObjects", "arrayOfObjects".
    :type file_pattern: str or ~azure.synapse.artifacts.v2020_12_01.models.JsonFormatFilePattern
    :param nesting_separator: The character used to separate nesting levels. Default value is '.'
     (dot). Type: string (or Expression with resultType string).
    :type nesting_separator: any
    :param encoding_name: The code page name of the preferred encoding. If not provided, the
     default value is 'utf-8', unless the byte order mark (BOM) denotes another Unicode encoding.
     The full list of supported values can be found in the 'Name' column of the table of encodings
     in the following reference: https://go.microsoft.com/fwlink/?linkid=861078. Type: string (or
     Expression with resultType string).
    :type encoding_name: any
    :param json_node_reference: The JSONPath of the JSON array element to be flattened. Example:
     "$.ArrayPath". Type: string (or Expression with resultType string).
    :type json_node_reference: any
    :param json_path_definition: The JSONPath definition for each column mapping with a customized
     column name to extract data from JSON file. For fields under root object, start with "$"; for
     fields inside the array chosen by jsonNodeReference property, start from the array element.
     Example: {"Column1": "$.Column1Path", "Column2": "Column2PathInArray"}. Type: object (or
     Expression with resultType object).
    :type json_path_definition: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'serializer': {'key': 'serializer', 'type': 'object'},
        'deserializer': {'key': 'deserializer', 'type': 'object'},
        'file_pattern': {'key': 'filePattern', 'type': 'str'},
        'nesting_separator': {'key': 'nestingSeparator', 'type': 'object'},
        'encoding_name': {'key': 'encodingName', 'type': 'object'},
        'json_node_reference': {'key': 'jsonNodeReference', 'type': 'object'},
        'json_path_definition': {'key': 'jsonPathDefinition', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        serializer: Optional[Any] = None,
        deserializer: Optional[Any] = None,
        file_pattern: Optional[Union[str, "JsonFormatFilePattern"]] = None,
        nesting_separator: Optional[Any] = None,
        encoding_name: Optional[Any] = None,
        json_node_reference: Optional[Any] = None,
        json_path_definition: Optional[Any] = None,
        **kwargs
    ):
        super(JsonFormat, self).__init__(additional_properties=additional_properties, serializer=serializer, deserializer=deserializer, **kwargs)
        self.type = 'JsonFormat'  # type: str
        self.file_pattern = file_pattern
        self.nesting_separator = nesting_separator
        self.encoding_name = encoding_name
        self.json_node_reference = json_node_reference
        self.json_path_definition = json_path_definition


class JsonReadSettings(FormatReadSettings):
    """Json read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param compression_properties: Compression settings.
    :type compression_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.CompressionReadSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'compression_properties': {'key': 'compressionProperties', 'type': 'CompressionReadSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        compression_properties: Optional["CompressionReadSettings"] = None,
        **kwargs
    ):
        super(JsonReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'JsonReadSettings'  # type: str
        self.compression_properties = compression_properties


class JsonSink(CopySink):
    """A copy activity Json sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Json store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreWriteSettings
    :param format_settings: Json format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.JsonWriteSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreWriteSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'JsonWriteSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreWriteSettings"] = None,
        format_settings: Optional["JsonWriteSettings"] = None,
        **kwargs
    ):
        super(JsonSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'JsonSink'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings


class JsonSource(CopySource):
    """A copy activity Json source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Json store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param format_settings: Json format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.JsonReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'JsonReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        format_settings: Optional["JsonReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(JsonSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'JsonSource'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings
        self.additional_columns = additional_columns


class JsonWriteSettings(FormatWriteSettings):
    """Json write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param file_pattern: File pattern of JSON. This setting controls the way a collection of JSON
     objects will be treated. The default value is 'setOfObjects'. It is case-sensitive. Possible
     values include: "setOfObjects", "arrayOfObjects".
    :type file_pattern: str or ~azure.synapse.artifacts.v2020_12_01.models.JsonWriteFilePattern
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'file_pattern': {'key': 'filePattern', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        file_pattern: Optional[Union[str, "JsonWriteFilePattern"]] = None,
        **kwargs
    ):
        super(JsonWriteSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'JsonWriteSettings'  # type: str
        self.file_pattern = file_pattern


class LibraryInfo(msrest.serialization.Model):
    """Library/package information of a Big Data pool powered by Apache Spark.

    Variables are only populated by the server, and will be ignored when sending a request.

    :param name: Name of the library.
    :type name: str
    :param path: Storage blob path of library.
    :type path: str
    :param container_name: Storage blob container name.
    :type container_name: str
    :ivar uploaded_timestamp: The last update time of the library.
    :vartype uploaded_timestamp: ~datetime.datetime
    :param type: Type of the library.
    :type type: str
    :ivar provisioning_status: Provisioning status of the library/package.
    :vartype provisioning_status: str
    :ivar creator_id: Creator Id of the library/package.
    :vartype creator_id: str
    """

    _validation = {
        'uploaded_timestamp': {'readonly': True},
        'provisioning_status': {'readonly': True},
        'creator_id': {'readonly': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'path': {'key': 'path', 'type': 'str'},
        'container_name': {'key': 'containerName', 'type': 'str'},
        'uploaded_timestamp': {'key': 'uploadedTimestamp', 'type': 'iso-8601'},
        'type': {'key': 'type', 'type': 'str'},
        'provisioning_status': {'key': 'provisioningStatus', 'type': 'str'},
        'creator_id': {'key': 'creatorId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        path: Optional[str] = None,
        container_name: Optional[str] = None,
        type: Optional[str] = None,
        **kwargs
    ):
        super(LibraryInfo, self).__init__(**kwargs)
        self.name = name
        self.path = path
        self.container_name = container_name
        self.uploaded_timestamp = None
        self.type = type
        self.provisioning_status = None
        self.creator_id = None


class LibraryListResponse(msrest.serialization.Model):
    """A list of Library resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of Library.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.LibraryResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[LibraryResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["LibraryResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(LibraryListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class LibraryRequirements(msrest.serialization.Model):
    """Library requirements for a Big Data pool powered by Apache Spark.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar time: The last update time of the library requirements file.
    :vartype time: ~datetime.datetime
    :param content: The library requirements.
    :type content: str
    :param filename: The filename of the library requirements file.
    :type filename: str
    """

    _validation = {
        'time': {'readonly': True},
    }

    _attribute_map = {
        'time': {'key': 'time', 'type': 'iso-8601'},
        'content': {'key': 'content', 'type': 'str'},
        'filename': {'key': 'filename', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        content: Optional[str] = None,
        filename: Optional[str] = None,
        **kwargs
    ):
        super(LibraryRequirements, self).__init__(**kwargs)
        self.time = None
        self.content = content
        self.filename = filename


class LibraryResource(SubResource):
    """Library response details.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Library/package properties.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.LibraryResourceProperties
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'LibraryResourceProperties'},
    }

    def __init__(
        self,
        *,
        properties: "LibraryResourceProperties",
        **kwargs
    ):
        super(LibraryResource, self).__init__(**kwargs)
        self.properties = properties


class LibraryResourceInfo(msrest.serialization.Model):
    """Library resource info.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar record_id: record Id of the library/package.
    :vartype record_id: int
    :ivar state: Provisioning status of the library/package.
    :vartype state: str
    :ivar created: The creation time of the library/package.
    :vartype created: str
    :ivar changed: The last updated time of the library/package.
    :vartype changed: str
    :ivar type: The type of the resource. E.g. LibraryArtifact.
    :vartype type: str
    :ivar name: Name of the library/package.
    :vartype name: str
    :ivar operation_id: Operation Id of the operation performed on library/package.
    :vartype operation_id: str
    :ivar artifact_id: artifact Id of the library/package.
    :vartype artifact_id: str
    """

    _validation = {
        'id': {'readonly': True},
        'record_id': {'readonly': True},
        'state': {'readonly': True},
        'created': {'readonly': True},
        'changed': {'readonly': True},
        'type': {'readonly': True},
        'name': {'readonly': True},
        'operation_id': {'readonly': True},
        'artifact_id': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'record_id': {'key': 'recordId', 'type': 'int'},
        'state': {'key': 'state', 'type': 'str'},
        'created': {'key': 'created', 'type': 'str'},
        'changed': {'key': 'changed', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'operation_id': {'key': 'operationId', 'type': 'str'},
        'artifact_id': {'key': 'artifactId', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(LibraryResourceInfo, self).__init__(**kwargs)
        self.id = None
        self.record_id = None
        self.state = None
        self.created = None
        self.changed = None
        self.type = None
        self.name = None
        self.operation_id = None
        self.artifact_id = None


class LibraryResourceProperties(msrest.serialization.Model):
    """Library/package properties.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar name: Name of the library/package.
    :vartype name: str
    :ivar path: Location of library/package in storage account.
    :vartype path: str
    :ivar container_name: Container name of the library/package.
    :vartype container_name: str
    :ivar uploaded_timestamp: The last update time of the library/package.
    :vartype uploaded_timestamp: str
    :ivar type: Type of the library/package.
    :vartype type: str
    :ivar provisioning_status: Provisioning status of the library/package.
    :vartype provisioning_status: str
    :ivar creator_id: Creator Id of the library/package.
    :vartype creator_id: str
    """

    _validation = {
        'name': {'readonly': True},
        'path': {'readonly': True},
        'container_name': {'readonly': True},
        'uploaded_timestamp': {'readonly': True},
        'type': {'readonly': True},
        'provisioning_status': {'readonly': True},
        'creator_id': {'readonly': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'path': {'key': 'path', 'type': 'str'},
        'container_name': {'key': 'containerName', 'type': 'str'},
        'uploaded_timestamp': {'key': 'uploadedTimestamp', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'provisioning_status': {'key': 'provisioningStatus', 'type': 'str'},
        'creator_id': {'key': 'creatorId', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(LibraryResourceProperties, self).__init__(**kwargs)
        self.name = None
        self.path = None
        self.container_name = None
        self.uploaded_timestamp = None
        self.type = None
        self.provisioning_status = None
        self.creator_id = None


class LinkedIntegrationRuntimeType(msrest.serialization.Model):
    """The base definition of a linked integration runtime.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: LinkedIntegrationRuntimeKeyAuthorization, LinkedIntegrationRuntimeRbacAuthorization.

    All required parameters must be populated in order to send to Azure.

    :param authorization_type: Required. The authorization type for integration runtime
     sharing.Constant filled by server.
    :type authorization_type: str
    """

    _validation = {
        'authorization_type': {'required': True},
    }

    _attribute_map = {
        'authorization_type': {'key': 'authorizationType', 'type': 'str'},
    }

    _subtype_map = {
        'authorization_type': {'Key': 'LinkedIntegrationRuntimeKeyAuthorization', 'RBAC': 'LinkedIntegrationRuntimeRbacAuthorization'}
    }

    def __init__(
        self,
        **kwargs
    ):
        super(LinkedIntegrationRuntimeType, self).__init__(**kwargs)
        self.authorization_type = None  # type: Optional[str]


class LinkedIntegrationRuntimeKeyAuthorization(LinkedIntegrationRuntimeType):
    """The key authorization type integration runtime.

    All required parameters must be populated in order to send to Azure.

    :param authorization_type: Required. The authorization type for integration runtime
     sharing.Constant filled by server.
    :type authorization_type: str
    :param key: Required. The key used for authorization.
    :type key: ~azure.synapse.artifacts.v2020_12_01.models.SecureString
    """

    _validation = {
        'authorization_type': {'required': True},
        'key': {'required': True},
    }

    _attribute_map = {
        'authorization_type': {'key': 'authorizationType', 'type': 'str'},
        'key': {'key': 'key', 'type': 'SecureString'},
    }

    def __init__(
        self,
        *,
        key: "SecureString",
        **kwargs
    ):
        super(LinkedIntegrationRuntimeKeyAuthorization, self).__init__(**kwargs)
        self.authorization_type = 'Key'  # type: str
        self.key = key


class LinkedIntegrationRuntimeRbacAuthorization(LinkedIntegrationRuntimeType):
    """The role based access control (RBAC) authorization type integration runtime.

    All required parameters must be populated in order to send to Azure.

    :param authorization_type: Required. The authorization type for integration runtime
     sharing.Constant filled by server.
    :type authorization_type: str
    :param resource_id: Required. The resource identifier of the integration runtime to be shared.
    :type resource_id: str
    """

    _validation = {
        'authorization_type': {'required': True},
        'resource_id': {'required': True},
    }

    _attribute_map = {
        'authorization_type': {'key': 'authorizationType', 'type': 'str'},
        'resource_id': {'key': 'resourceId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        resource_id: str,
        **kwargs
    ):
        super(LinkedIntegrationRuntimeRbacAuthorization, self).__init__(**kwargs)
        self.authorization_type = 'RBAC'  # type: str
        self.resource_id = resource_id


class LinkedServiceDebugResource(SubResourceDebugResource):
    """Linked service debug resource.

    All required parameters must be populated in order to send to Azure.

    :param name: The resource name.
    :type name: str
    :param properties: Required. Properties of linked service.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.LinkedService
    """

    _validation = {
        'properties': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'LinkedService'},
    }

    def __init__(
        self,
        *,
        properties: "LinkedService",
        name: Optional[str] = None,
        **kwargs
    ):
        super(LinkedServiceDebugResource, self).__init__(name=name, **kwargs)
        self.properties = properties


class LinkedServiceListResponse(msrest.serialization.Model):
    """A list of linked service resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of linked services.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[LinkedServiceResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["LinkedServiceResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(LinkedServiceListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class LinkedServiceReference(msrest.serialization.Model):
    """Linked service reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Linked service reference type. Possible values include:
     "LinkedServiceReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.Type
    :param reference_name: Required. Reference LinkedService name.
    :type reference_name: str
    :param parameters: Arguments for LinkedService.
    :type parameters: dict[str, any]
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "Type"],
        reference_name: str,
        parameters: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(LinkedServiceReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name
        self.parameters = parameters


class LinkedServiceResource(SubResource):
    """Linked service resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Properties of linked service.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.LinkedService
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'LinkedService'},
    }

    def __init__(
        self,
        *,
        properties: "LinkedService",
        **kwargs
    ):
        super(LinkedServiceResource, self).__init__(**kwargs)
        self.properties = properties


class LogLocationSettings(msrest.serialization.Model):
    """Log location settings.

    All required parameters must be populated in order to send to Azure.

    :param linked_service_name: Required. Log storage linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param path: The path to storage for storing detailed logs of activity execution. Type: string
     (or Expression with resultType string).
    :type path: any
    """

    _validation = {
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'path': {'key': 'path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        path: Optional[Any] = None,
        **kwargs
    ):
        super(LogLocationSettings, self).__init__(**kwargs)
        self.linked_service_name = linked_service_name
        self.path = path


class LogSettings(msrest.serialization.Model):
    """Log settings.

    All required parameters must be populated in order to send to Azure.

    :param enable_copy_activity_log: Specifies whether to enable copy activity log. Type: boolean
     (or Expression with resultType boolean).
    :type enable_copy_activity_log: any
    :param copy_activity_log_settings: Specifies settings for copy activity log.
    :type copy_activity_log_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.CopyActivityLogSettings
    :param log_location_settings: Required. Log location settings customer needs to provide when
     enabling log.
    :type log_location_settings: ~azure.synapse.artifacts.v2020_12_01.models.LogLocationSettings
    """

    _validation = {
        'log_location_settings': {'required': True},
    }

    _attribute_map = {
        'enable_copy_activity_log': {'key': 'enableCopyActivityLog', 'type': 'object'},
        'copy_activity_log_settings': {'key': 'copyActivityLogSettings', 'type': 'CopyActivityLogSettings'},
        'log_location_settings': {'key': 'logLocationSettings', 'type': 'LogLocationSettings'},
    }

    def __init__(
        self,
        *,
        log_location_settings: "LogLocationSettings",
        enable_copy_activity_log: Optional[Any] = None,
        copy_activity_log_settings: Optional["CopyActivityLogSettings"] = None,
        **kwargs
    ):
        super(LogSettings, self).__init__(**kwargs)
        self.enable_copy_activity_log = enable_copy_activity_log
        self.copy_activity_log_settings = copy_activity_log_settings
        self.log_location_settings = log_location_settings


class LogStorageSettings(msrest.serialization.Model):
    """(Deprecated. Please use LogSettings) Log storage settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param linked_service_name: Required. Log storage linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param path: The path to storage for storing detailed logs of activity execution. Type: string
     (or Expression with resultType string).
    :type path: any
    :param log_level: Gets or sets the log level, support: Info, Warning. Type: string (or
     Expression with resultType string).
    :type log_level: any
    :param enable_reliable_logging: Specifies whether to enable reliable logging. Type: boolean (or
     Expression with resultType boolean).
    :type enable_reliable_logging: any
    """

    _validation = {
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'path': {'key': 'path', 'type': 'object'},
        'log_level': {'key': 'logLevel', 'type': 'object'},
        'enable_reliable_logging': {'key': 'enableReliableLogging', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        path: Optional[Any] = None,
        log_level: Optional[Any] = None,
        enable_reliable_logging: Optional[Any] = None,
        **kwargs
    ):
        super(LogStorageSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.linked_service_name = linked_service_name
        self.path = path
        self.log_level = log_level
        self.enable_reliable_logging = enable_reliable_logging


class LookupActivity(ExecutionActivity):
    """Lookup activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param source: Required. Dataset-specific source properties, same as copy activity source.
    :type source: ~azure.synapse.artifacts.v2020_12_01.models.CopySource
    :param dataset: Required. Lookup activity dataset reference.
    :type dataset: ~azure.synapse.artifacts.v2020_12_01.models.DatasetReference
    :param first_row_only: Whether to return first row or all rows. Default value is true. Type:
     boolean (or Expression with resultType boolean).
    :type first_row_only: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'source': {'required': True},
        'dataset': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'source': {'key': 'typeProperties.source', 'type': 'CopySource'},
        'dataset': {'key': 'typeProperties.dataset', 'type': 'DatasetReference'},
        'first_row_only': {'key': 'typeProperties.firstRowOnly', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        source: "CopySource",
        dataset: "DatasetReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        first_row_only: Optional[Any] = None,
        **kwargs
    ):
        super(LookupActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'Lookup'  # type: str
        self.source = source
        self.dataset = dataset
        self.first_row_only = first_row_only


class MagentoLinkedService(LinkedService):
    """Magento server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The URL of the Magento instance. (i.e. 192.168.222.110/magento3).
    :type host: any
    :param access_token: The access token from Magento.
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        access_token: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(MagentoLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Magento'  # type: str
        self.host = host
        self.access_token = access_token
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class MagentoObjectDataset(Dataset):
    """Magento server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(MagentoObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MagentoObject'  # type: str
        self.table_name = table_name


class MagentoSource(TabularSource):
    """A copy activity Magento server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(MagentoSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'MagentoSource'  # type: str
        self.query = query


class ManagedIdentity(msrest.serialization.Model):
    """The workspace managed identity.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar principal_id: The principal ID of the workspace managed identity.
    :vartype principal_id: str
    :ivar tenant_id: The tenant ID of the workspace managed identity.
    :vartype tenant_id: str
    :param type: The type of managed identity for the workspace. Possible values include: "None",
     "SystemAssigned".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.ResourceIdentityType
    """

    _validation = {
        'principal_id': {'readonly': True},
        'tenant_id': {'readonly': True},
    }

    _attribute_map = {
        'principal_id': {'key': 'principalId', 'type': 'str'},
        'tenant_id': {'key': 'tenantId', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Optional[Union[str, "ResourceIdentityType"]] = None,
        **kwargs
    ):
        super(ManagedIdentity, self).__init__(**kwargs)
        self.principal_id = None
        self.tenant_id = None
        self.type = type


class ManagedIntegrationRuntime(IntegrationRuntime):
    """Managed integration runtime, including managed elastic and managed dedicated integration runtimes.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of integration runtime.Constant filled by server.  Possible values
     include: "Managed", "SelfHosted".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeType
    :param description: Integration runtime description.
    :type description: str
    :ivar state: Integration runtime state, only valid for managed dedicated integration runtime.
     Possible values include: "Initial", "Stopped", "Started", "Starting", "Stopping",
     "NeedRegistration", "Online", "Limited", "Offline", "AccessDenied".
    :vartype state: str or ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeState
    :param managed_virtual_network: Managed Virtual Network reference.
    :type managed_virtual_network:
     ~azure.synapse.artifacts.v2020_12_01.models.ManagedVirtualNetworkReference
    :param compute_properties: The compute resource for managed integration runtime.
    :type compute_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeComputeProperties
    :param ssis_properties: SSIS properties for managed integration runtime.
    :type ssis_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeSsisProperties
    """

    _validation = {
        'type': {'required': True},
        'state': {'readonly': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'state': {'key': 'state', 'type': 'str'},
        'managed_virtual_network': {'key': 'managedVirtualNetwork', 'type': 'ManagedVirtualNetworkReference'},
        'compute_properties': {'key': 'typeProperties.computeProperties', 'type': 'IntegrationRuntimeComputeProperties'},
        'ssis_properties': {'key': 'typeProperties.ssisProperties', 'type': 'IntegrationRuntimeSsisProperties'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        managed_virtual_network: Optional["ManagedVirtualNetworkReference"] = None,
        compute_properties: Optional["IntegrationRuntimeComputeProperties"] = None,
        ssis_properties: Optional["IntegrationRuntimeSsisProperties"] = None,
        **kwargs
    ):
        super(ManagedIntegrationRuntime, self).__init__(additional_properties=additional_properties, description=description, **kwargs)
        self.type = 'Managed'  # type: str
        self.state = None
        self.managed_virtual_network = managed_virtual_network
        self.compute_properties = compute_properties
        self.ssis_properties = ssis_properties


class ManagedVirtualNetworkReference(msrest.serialization.Model):
    """Managed Virtual Network reference type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar type: Managed Virtual Network reference type. Has constant value:
     "ManagedVirtualNetworkReference".
    :vartype type: str
    :param reference_name: Required. Reference ManagedVirtualNetwork name.
    :type reference_name: str
    """

    _validation = {
        'type': {'required': True, 'constant': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    type = "ManagedVirtualNetworkReference"

    def __init__(
        self,
        *,
        reference_name: str,
        **kwargs
    ):
        super(ManagedVirtualNetworkReference, self).__init__(**kwargs)
        self.reference_name = reference_name


class ManagedVirtualNetworkSettings(msrest.serialization.Model):
    """Managed Virtual Network Settings.

    :param prevent_data_exfiltration: Prevent Data Exfiltration.
    :type prevent_data_exfiltration: bool
    :param linked_access_check_on_target_resource: Linked Access Check On Target Resource.
    :type linked_access_check_on_target_resource: bool
    :param allowed_aad_tenant_ids_for_linking: Allowed Aad Tenant Ids For Linking.
    :type allowed_aad_tenant_ids_for_linking: list[str]
    """

    _attribute_map = {
        'prevent_data_exfiltration': {'key': 'preventDataExfiltration', 'type': 'bool'},
        'linked_access_check_on_target_resource': {'key': 'linkedAccessCheckOnTargetResource', 'type': 'bool'},
        'allowed_aad_tenant_ids_for_linking': {'key': 'allowedAadTenantIdsForLinking', 'type': '[str]'},
    }

    def __init__(
        self,
        *,
        prevent_data_exfiltration: Optional[bool] = None,
        linked_access_check_on_target_resource: Optional[bool] = None,
        allowed_aad_tenant_ids_for_linking: Optional[List[str]] = None,
        **kwargs
    ):
        super(ManagedVirtualNetworkSettings, self).__init__(**kwargs)
        self.prevent_data_exfiltration = prevent_data_exfiltration
        self.linked_access_check_on_target_resource = linked_access_check_on_target_resource
        self.allowed_aad_tenant_ids_for_linking = allowed_aad_tenant_ids_for_linking


class MappingDataFlow(DataFlow):
    """Mapping data flow.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Type of data flow.Constant filled by server.
    :type type: str
    :param description: The description of the data flow.
    :type description: str
    :param annotations: List of tags that can be used for describing the data flow.
    :type annotations: list[any]
    :param folder: The folder that this data flow is in. If not specified, Data flow will appear at
     the root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowFolder
    :param sources: List of sources in data flow.
    :type sources: list[~azure.synapse.artifacts.v2020_12_01.models.DataFlowSource]
    :param sinks: List of sinks in data flow.
    :type sinks: list[~azure.synapse.artifacts.v2020_12_01.models.DataFlowSink]
    :param transformations: List of transformations in data flow.
    :type transformations: list[~azure.synapse.artifacts.v2020_12_01.models.Transformation]
    :param script: DataFlow script.
    :type script: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DataFlowFolder'},
        'sources': {'key': 'typeProperties.sources', 'type': '[DataFlowSource]'},
        'sinks': {'key': 'typeProperties.sinks', 'type': '[DataFlowSink]'},
        'transformations': {'key': 'typeProperties.transformations', 'type': '[Transformation]'},
        'script': {'key': 'typeProperties.script', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DataFlowFolder"] = None,
        sources: Optional[List["DataFlowSource"]] = None,
        sinks: Optional[List["DataFlowSink"]] = None,
        transformations: Optional[List["Transformation"]] = None,
        script: Optional[str] = None,
        **kwargs
    ):
        super(MappingDataFlow, self).__init__(description=description, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MappingDataFlow'  # type: str
        self.sources = sources
        self.sinks = sinks
        self.transformations = transformations
        self.script = script


class MariaDBLinkedService(LinkedService):
    """MariaDB server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param pwd: The Azure key vault secret reference of password in connection string.
    :type pwd: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'pwd': {'key': 'typeProperties.pwd', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        pwd: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(MariaDBLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'MariaDB'  # type: str
        self.connection_string = connection_string
        self.pwd = pwd
        self.encrypted_credential = encrypted_credential


class MariaDBSource(TabularSource):
    """A copy activity MariaDB server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(MariaDBSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'MariaDBSource'  # type: str
        self.query = query


class MariaDBTableDataset(Dataset):
    """MariaDB server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(MariaDBTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MariaDBTable'  # type: str
        self.table_name = table_name


class MarketoLinkedService(LinkedService):
    """Marketo server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param endpoint: Required. The endpoint of the Marketo server. (i.e. 123-ABC-321.mktorest.com).
    :type endpoint: any
    :param client_id: Required. The client Id of your Marketo service.
    :type client_id: any
    :param client_secret: The client secret of your Marketo service.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        client_secret: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(MarketoLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Marketo'  # type: str
        self.endpoint = endpoint
        self.client_id = client_id
        self.client_secret = client_secret
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class MarketoObjectDataset(Dataset):
    """Marketo server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(MarketoObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MarketoObject'  # type: str
        self.table_name = table_name


class MarketoSource(TabularSource):
    """A copy activity Marketo server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(MarketoSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'MarketoSource'  # type: str
        self.query = query


class MicrosoftAccessLinkedService(LinkedService):
    """Microsoft Access linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The non-access credential portion of the connection string
     as well as an optional encrypted credential. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param authentication_type: Type of authentication used to connect to the Microsoft Access as
     ODBC data store. Possible values are: Anonymous and Basic. Type: string (or Expression with
     resultType string).
    :type authentication_type: any
    :param credential: The access credential portion of the connection string specified in
     driver-specific property-value format.
    :type credential: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param user_name: User name for Basic authentication. Type: string (or Expression with
     resultType string).
    :type user_name: any
    :param password: Password for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'object'},
        'credential': {'key': 'typeProperties.credential', 'type': 'SecretBase'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Any] = None,
        credential: Optional["SecretBase"] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(MicrosoftAccessLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'MicrosoftAccess'  # type: str
        self.connection_string = connection_string
        self.authentication_type = authentication_type
        self.credential = credential
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential


class MicrosoftAccessSink(CopySink):
    """A copy activity Microsoft Access sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: A query to execute before starting the copy. Type: string (or
     Expression with resultType string).
    :type pre_copy_script: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        **kwargs
    ):
        super(MicrosoftAccessSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'MicrosoftAccessSink'  # type: str
        self.pre_copy_script = pre_copy_script


class MicrosoftAccessSource(CopySource):
    """A copy activity source for Microsoft Access.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(MicrosoftAccessSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'MicrosoftAccessSource'  # type: str
        self.query = query
        self.additional_columns = additional_columns


class MicrosoftAccessTableDataset(Dataset):
    """The Microsoft Access table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The Microsoft Access table name. Type: string (or Expression with resultType
     string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(MicrosoftAccessTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MicrosoftAccessTable'  # type: str
        self.table_name = table_name


class MongoDbAtlasCollectionDataset(Dataset):
    """The MongoDB Atlas database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param collection: Required. The collection name of the MongoDB Atlas database. Type: string
     (or Expression with resultType string).
    :type collection: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'collection': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'collection': {'key': 'typeProperties.collection', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        collection: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(MongoDbAtlasCollectionDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MongoDbAtlasCollection'  # type: str
        self.collection = collection


class MongoDbAtlasLinkedService(LinkedService):
    """Linked service for MongoDB Atlas data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The MongoDB Atlas connection string. Type: string,
     SecureString or AzureKeyVaultSecretReference. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param database: Required. The name of the MongoDB Atlas database that you want to access.
     Type: string (or Expression with resultType string).
    :type database: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
        'database': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        database: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(MongoDbAtlasLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'MongoDbAtlas'  # type: str
        self.connection_string = connection_string
        self.database = database


class MongoDbAtlasSource(CopySource):
    """A copy activity source for a MongoDB Atlas database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param filter: Specifies selection filter using query operators. To return all documents in a
     collection, omit this parameter or pass an empty document ({}). Type: string (or Expression
     with resultType string).
    :type filter: any
    :param cursor_methods: Cursor methods for Mongodb query.
    :type cursor_methods:
     ~azure.synapse.artifacts.v2020_12_01.models.MongoDbCursorMethodsProperties
    :param batch_size: Specifies the number of documents to return in each batch of the response
     from MongoDB Atlas instance. In most cases, modifying the batch size will not affect the user
     or the application. This property's main purpose is to avoid hit the limitation of response
     size. Type: integer (or Expression with resultType integer).
    :type batch_size: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'filter': {'key': 'filter', 'type': 'object'},
        'cursor_methods': {'key': 'cursorMethods', 'type': 'MongoDbCursorMethodsProperties'},
        'batch_size': {'key': 'batchSize', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        filter: Optional[Any] = None,
        cursor_methods: Optional["MongoDbCursorMethodsProperties"] = None,
        batch_size: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(MongoDbAtlasSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'MongoDbAtlasSource'  # type: str
        self.filter = filter
        self.cursor_methods = cursor_methods
        self.batch_size = batch_size
        self.query_timeout = query_timeout
        self.additional_columns = additional_columns


class MongoDbCollectionDataset(Dataset):
    """The MongoDB database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param collection_name: Required. The table name of the MongoDB database. Type: string (or
     Expression with resultType string).
    :type collection_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'collection_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'collection_name': {'key': 'typeProperties.collectionName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        collection_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(MongoDbCollectionDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MongoDbCollection'  # type: str
        self.collection_name = collection_name


class MongoDbCursorMethodsProperties(msrest.serialization.Model):
    """Cursor methods for Mongodb query.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param project: Specifies the fields to return in the documents that match the query filter. To
     return all fields in the matching documents, omit this parameter. Type: string (or Expression
     with resultType string).
    :type project: any
    :param sort: Specifies the order in which the query returns matching documents. Type: string
     (or Expression with resultType string). Type: string (or Expression with resultType string).
    :type sort: any
    :param skip: Specifies the how many documents skipped and where MongoDB begins returning
     results. This approach may be useful in implementing paginated results. Type: integer (or
     Expression with resultType integer).
    :type skip: any
    :param limit: Specifies the maximum number of documents the server returns. limit() is
     analogous to the LIMIT statement in a SQL database. Type: integer (or Expression with
     resultType integer).
    :type limit: any
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'project': {'key': 'project', 'type': 'object'},
        'sort': {'key': 'sort', 'type': 'object'},
        'skip': {'key': 'skip', 'type': 'object'},
        'limit': {'key': 'limit', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        project: Optional[Any] = None,
        sort: Optional[Any] = None,
        skip: Optional[Any] = None,
        limit: Optional[Any] = None,
        **kwargs
    ):
        super(MongoDbCursorMethodsProperties, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.project = project
        self.sort = sort
        self.skip = skip
        self.limit = limit


class MongoDbLinkedService(LinkedService):
    """Linked service for MongoDb data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param server: Required. The IP address or server name of the MongoDB server. Type: string (or
     Expression with resultType string).
    :type server: any
    :param authentication_type: The authentication type to be used to connect to the MongoDB
     database. Possible values include: "Basic", "Anonymous".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.MongoDbAuthenticationType
    :param database_name: Required. The name of the MongoDB database that you want to access. Type:
     string (or Expression with resultType string).
    :type database_name: any
    :param username: Username for authentication. Type: string (or Expression with resultType
     string).
    :type username: any
    :param password: Password for authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param auth_source: Database to verify the username and password. Type: string (or Expression
     with resultType string).
    :type auth_source: any
    :param port: The TCP port number that the MongoDB server uses to listen for client connections.
     The default value is 27017. Type: integer (or Expression with resultType integer), minimum: 0.
    :type port: any
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false. Type: boolean (or Expression with resultType boolean).
    :type enable_ssl: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false. Type: boolean (or Expression with resultType boolean).
    :type allow_self_signed_server_cert: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
        'database_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'database_name': {'key': 'typeProperties.databaseName', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'auth_source': {'key': 'typeProperties.authSource', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        database_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Union[str, "MongoDbAuthenticationType"]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        auth_source: Optional[Any] = None,
        port: Optional[Any] = None,
        enable_ssl: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(MongoDbLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'MongoDb'  # type: str
        self.server = server
        self.authentication_type = authentication_type
        self.database_name = database_name
        self.username = username
        self.password = password
        self.auth_source = auth_source
        self.port = port
        self.enable_ssl = enable_ssl
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.encrypted_credential = encrypted_credential


class MongoDbSource(CopySource):
    """A copy activity source for a MongoDB database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Database query. Should be a SQL-92 query expression. Type: string (or Expression
     with resultType string).
    :type query: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(MongoDbSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'MongoDbSource'  # type: str
        self.query = query
        self.additional_columns = additional_columns


class MongoDbV2CollectionDataset(Dataset):
    """The MongoDB database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param collection: Required. The collection name of the MongoDB database. Type: string (or
     Expression with resultType string).
    :type collection: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'collection': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'collection': {'key': 'typeProperties.collection', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        collection: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(MongoDbV2CollectionDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MongoDbV2Collection'  # type: str
        self.collection = collection


class MongoDbV2LinkedService(LinkedService):
    """Linked service for MongoDB data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The MongoDB connection string. Type: string, SecureString
     or AzureKeyVaultSecretReference. Type: string, SecureString or AzureKeyVaultSecretReference.
    :type connection_string: any
    :param database: Required. The name of the MongoDB database that you want to access. Type:
     string (or Expression with resultType string).
    :type database: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
        'database': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        database: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(MongoDbV2LinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'MongoDbV2'  # type: str
        self.connection_string = connection_string
        self.database = database


class MongoDbV2Source(CopySource):
    """A copy activity source for a MongoDB database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param filter: Specifies selection filter using query operators. To return all documents in a
     collection, omit this parameter or pass an empty document ({}). Type: string (or Expression
     with resultType string).
    :type filter: any
    :param cursor_methods: Cursor methods for Mongodb query.
    :type cursor_methods:
     ~azure.synapse.artifacts.v2020_12_01.models.MongoDbCursorMethodsProperties
    :param batch_size: Specifies the number of documents to return in each batch of the response
     from MongoDB instance. In most cases, modifying the batch size will not affect the user or the
     application. This property's main purpose is to avoid hit the limitation of response size.
     Type: integer (or Expression with resultType integer).
    :type batch_size: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'filter': {'key': 'filter', 'type': 'object'},
        'cursor_methods': {'key': 'cursorMethods', 'type': 'MongoDbCursorMethodsProperties'},
        'batch_size': {'key': 'batchSize', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        filter: Optional[Any] = None,
        cursor_methods: Optional["MongoDbCursorMethodsProperties"] = None,
        batch_size: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(MongoDbV2Source, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'MongoDbV2Source'  # type: str
        self.filter = filter
        self.cursor_methods = cursor_methods
        self.batch_size = batch_size
        self.query_timeout = query_timeout
        self.additional_columns = additional_columns


class MySqlLinkedService(LinkedService):
    """Linked service for MySQL data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(MySqlLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'MySql'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.encrypted_credential = encrypted_credential


class MySqlSource(TabularSource):
    """A copy activity source for MySQL databases.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(MySqlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'MySqlSource'  # type: str
        self.query = query


class MySqlTableDataset(Dataset):
    """The MySQL table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The MySQL table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(MySqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'MySqlTable'  # type: str
        self.table_name = table_name


class NetezzaLinkedService(LinkedService):
    """Netezza linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param pwd: The Azure key vault secret reference of password in connection string.
    :type pwd: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'pwd': {'key': 'typeProperties.pwd', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        pwd: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(NetezzaLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Netezza'  # type: str
        self.connection_string = connection_string
        self.pwd = pwd
        self.encrypted_credential = encrypted_credential


class NetezzaPartitionSettings(msrest.serialization.Model):
    """The settings that will be leveraged for Netezza source partitioning.

    :param partition_column_name: The name of the column in integer type that will be used for
     proceeding range partitioning. Type: string (or Expression with resultType string).
    :type partition_column_name: any
    :param partition_upper_bound: The maximum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_upper_bound: any
    :param partition_lower_bound: The minimum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_lower_bound: any
    """

    _attribute_map = {
        'partition_column_name': {'key': 'partitionColumnName', 'type': 'object'},
        'partition_upper_bound': {'key': 'partitionUpperBound', 'type': 'object'},
        'partition_lower_bound': {'key': 'partitionLowerBound', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        partition_column_name: Optional[Any] = None,
        partition_upper_bound: Optional[Any] = None,
        partition_lower_bound: Optional[Any] = None,
        **kwargs
    ):
        super(NetezzaPartitionSettings, self).__init__(**kwargs)
        self.partition_column_name = partition_column_name
        self.partition_upper_bound = partition_upper_bound
        self.partition_lower_bound = partition_lower_bound


class NetezzaSource(TabularSource):
    """A copy activity Netezza source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    :param partition_option: The partition mechanism that will be used for Netezza read in
     parallel. Possible values include: "None", "DataSlice", "DynamicRange".
    :type partition_option: str or
     ~azure.synapse.artifacts.v2020_12_01.models.NetezzaPartitionOption
    :param partition_settings: The settings that will be leveraged for Netezza source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.NetezzaPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'str'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'NetezzaPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        partition_option: Optional[Union[str, "NetezzaPartitionOption"]] = None,
        partition_settings: Optional["NetezzaPartitionSettings"] = None,
        **kwargs
    ):
        super(NetezzaSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'NetezzaSource'  # type: str
        self.query = query
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class NetezzaTableDataset(Dataset):
    """Netezza dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Netezza. Type: string (or Expression with resultType
     string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Netezza. Type: string (or
     Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(NetezzaTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'NetezzaTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class Notebook(msrest.serialization.Model):
    """Notebook.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param description: The description of the notebook.
    :type description: str
    :param big_data_pool: Big data pool reference.
    :type big_data_pool: ~azure.synapse.artifacts.v2020_12_01.models.BigDataPoolReference
    :param session_properties: Session properties.
    :type session_properties: ~azure.synapse.artifacts.v2020_12_01.models.NotebookSessionProperties
    :param metadata: Required. Notebook root-level metadata.
    :type metadata: ~azure.synapse.artifacts.v2020_12_01.models.NotebookMetadata
    :param nbformat: Required. Notebook format (major number). Incremented between backwards
     incompatible changes to the notebook format.
    :type nbformat: int
    :param nbformat_minor: Required. Notebook format (minor number). Incremented for backward
     compatible changes to the notebook format.
    :type nbformat_minor: int
    :param cells: Required. Array of cells of the current notebook.
    :type cells: list[~azure.synapse.artifacts.v2020_12_01.models.NotebookCell]
    """

    _validation = {
        'metadata': {'required': True},
        'nbformat': {'required': True},
        'nbformat_minor': {'required': True},
        'cells': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'description': {'key': 'description', 'type': 'str'},
        'big_data_pool': {'key': 'bigDataPool', 'type': 'BigDataPoolReference'},
        'session_properties': {'key': 'sessionProperties', 'type': 'NotebookSessionProperties'},
        'metadata': {'key': 'metadata', 'type': 'NotebookMetadata'},
        'nbformat': {'key': 'nbformat', 'type': 'int'},
        'nbformat_minor': {'key': 'nbformat_minor', 'type': 'int'},
        'cells': {'key': 'cells', 'type': '[NotebookCell]'},
    }

    def __init__(
        self,
        *,
        metadata: "NotebookMetadata",
        nbformat: int,
        nbformat_minor: int,
        cells: List["NotebookCell"],
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        big_data_pool: Optional["BigDataPoolReference"] = None,
        session_properties: Optional["NotebookSessionProperties"] = None,
        **kwargs
    ):
        super(Notebook, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.description = description
        self.big_data_pool = big_data_pool
        self.session_properties = session_properties
        self.metadata = metadata
        self.nbformat = nbformat
        self.nbformat_minor = nbformat_minor
        self.cells = cells


class NotebookCell(msrest.serialization.Model):
    """Notebook cell.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param cell_type: Required. String identifying the type of cell.
    :type cell_type: str
    :param metadata: Required. Cell-level metadata.
    :type metadata: any
    :param source: Required. Contents of the cell, represented as an array of lines.
    :type source: list[str]
    :param attachments: Attachments associated with the cell.
    :type attachments: any
    :param outputs: Cell-level output items.
    :type outputs: list[~azure.synapse.artifacts.v2020_12_01.models.NotebookCellOutputItem]
    """

    _validation = {
        'cell_type': {'required': True},
        'metadata': {'required': True},
        'source': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'cell_type': {'key': 'cell_type', 'type': 'str'},
        'metadata': {'key': 'metadata', 'type': 'object'},
        'source': {'key': 'source', 'type': '[str]'},
        'attachments': {'key': 'attachments', 'type': 'object'},
        'outputs': {'key': 'outputs', 'type': '[NotebookCellOutputItem]'},
    }

    def __init__(
        self,
        *,
        cell_type: str,
        metadata: Any,
        source: List[str],
        additional_properties: Optional[Dict[str, Any]] = None,
        attachments: Optional[Any] = None,
        outputs: Optional[List["NotebookCellOutputItem"]] = None,
        **kwargs
    ):
        super(NotebookCell, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.cell_type = cell_type
        self.metadata = metadata
        self.source = source
        self.attachments = attachments
        self.outputs = outputs


class NotebookCellOutputItem(msrest.serialization.Model):
    """An item of the notebook cell execution output.

    All required parameters must be populated in order to send to Azure.

    :param name: For output_type=stream, determines the name of stream (stdout / stderr).
    :type name: str
    :param execution_count: Execution sequence number.
    :type execution_count: int
    :param output_type: Required. Execution, display, or stream outputs. Possible values include:
     "execute_result", "display_data", "stream", "error".
    :type output_type: str or ~azure.synapse.artifacts.v2020_12_01.models.CellOutputType
    :param text: For output_type=stream, the stream's text output, represented as a string or an
     array of strings.
    :type text: any
    :param data: Output data. Use MIME type as key, and content as value.
    :type data: any
    :param metadata: Metadata for the output item.
    :type metadata: any
    """

    _validation = {
        'output_type': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'execution_count': {'key': 'execution_count', 'type': 'int'},
        'output_type': {'key': 'output_type', 'type': 'str'},
        'text': {'key': 'text', 'type': 'object'},
        'data': {'key': 'data', 'type': 'object'},
        'metadata': {'key': 'metadata', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        output_type: Union[str, "CellOutputType"],
        name: Optional[str] = None,
        execution_count: Optional[int] = None,
        text: Optional[Any] = None,
        data: Optional[Any] = None,
        metadata: Optional[Any] = None,
        **kwargs
    ):
        super(NotebookCellOutputItem, self).__init__(**kwargs)
        self.name = name
        self.execution_count = execution_count
        self.output_type = output_type
        self.text = text
        self.data = data
        self.metadata = metadata


class NotebookKernelSpec(msrest.serialization.Model):
    """Kernel information.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Name of the kernel specification.
    :type name: str
    :param display_name: Required. Name to display in UI.
    :type display_name: str
    """

    _validation = {
        'name': {'required': True},
        'display_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'display_name': {'key': 'display_name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: str,
        display_name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(NotebookKernelSpec, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.name = name
        self.display_name = display_name


class NotebookLanguageInfo(msrest.serialization.Model):
    """Language info.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. The programming language which this kernel runs.
    :type name: str
    :param codemirror_mode: The codemirror mode to use for code in this language.
    :type codemirror_mode: str
    """

    _validation = {
        'name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'codemirror_mode': {'key': 'codemirror_mode', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        codemirror_mode: Optional[str] = None,
        **kwargs
    ):
        super(NotebookLanguageInfo, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.name = name
        self.codemirror_mode = codemirror_mode


class NotebookListResponse(msrest.serialization.Model):
    """A list of Notebook resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of Notebooks.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.NotebookResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[NotebookResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["NotebookResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(NotebookListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class NotebookMetadata(msrest.serialization.Model):
    """Notebook root-level metadata.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param kernelspec: Kernel information.
    :type kernelspec: ~azure.synapse.artifacts.v2020_12_01.models.NotebookKernelSpec
    :param language_info: Language info.
    :type language_info: ~azure.synapse.artifacts.v2020_12_01.models.NotebookLanguageInfo
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'kernelspec': {'key': 'kernelspec', 'type': 'NotebookKernelSpec'},
        'language_info': {'key': 'language_info', 'type': 'NotebookLanguageInfo'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        kernelspec: Optional["NotebookKernelSpec"] = None,
        language_info: Optional["NotebookLanguageInfo"] = None,
        **kwargs
    ):
        super(NotebookMetadata, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.kernelspec = kernelspec
        self.language_info = language_info


class NotebookResource(msrest.serialization.Model):
    """Notebook resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource Id for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :param name: Required. The name of the resource.
    :type name: str
    :ivar type: The type of the resource. Ex- Microsoft.Compute/virtualMachines or
     Microsoft.Storage/storageAccounts.
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Properties of Notebook.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.Notebook
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'required': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'Notebook'},
    }

    def __init__(
        self,
        *,
        name: str,
        properties: "Notebook",
        **kwargs
    ):
        super(NotebookResource, self).__init__(**kwargs)
        self.id = None
        self.name = name
        self.type = None
        self.etag = None
        self.properties = properties


class NotebookSessionProperties(msrest.serialization.Model):
    """Session properties.

    All required parameters must be populated in order to send to Azure.

    :param driver_memory: Required. Amount of memory to use for the driver process.
    :type driver_memory: str
    :param driver_cores: Required. Number of cores to use for the driver.
    :type driver_cores: int
    :param executor_memory: Required. Amount of memory to use per executor process.
    :type executor_memory: str
    :param executor_cores: Required. Number of cores to use for each executor.
    :type executor_cores: int
    :param num_executors: Required. Number of executors to launch for this session.
    :type num_executors: int
    """

    _validation = {
        'driver_memory': {'required': True},
        'driver_cores': {'required': True},
        'executor_memory': {'required': True},
        'executor_cores': {'required': True},
        'num_executors': {'required': True},
    }

    _attribute_map = {
        'driver_memory': {'key': 'driverMemory', 'type': 'str'},
        'driver_cores': {'key': 'driverCores', 'type': 'int'},
        'executor_memory': {'key': 'executorMemory', 'type': 'str'},
        'executor_cores': {'key': 'executorCores', 'type': 'int'},
        'num_executors': {'key': 'numExecutors', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        driver_memory: str,
        driver_cores: int,
        executor_memory: str,
        executor_cores: int,
        num_executors: int,
        **kwargs
    ):
        super(NotebookSessionProperties, self).__init__(**kwargs)
        self.driver_memory = driver_memory
        self.driver_cores = driver_cores
        self.executor_memory = executor_memory
        self.executor_cores = executor_cores
        self.num_executors = num_executors


class ODataLinkedService(LinkedService):
    """Open Data Protocol (OData) linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The URL of the OData service endpoint. Type: string (or Expression with
     resultType string).
    :type url: any
    :param authentication_type: Type of authentication used to connect to the OData service.
     Possible values include: "Basic", "Anonymous", "Windows", "AadServicePrincipal",
     "ManagedServiceIdentity".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.ODataAuthenticationType
    :param user_name: User name of the OData service. Type: string (or Expression with resultType
     string).
    :type user_name: any
    :param password: Password of the OData service.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: Specify the tenant information (domain name or tenant ID) under which your
     application resides. Type: string (or Expression with resultType string).
    :type tenant: any
    :param service_principal_id: Specify the application id of your application registered in Azure
     Active Directory. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param aad_resource_id: Specify the resource you are requesting authorization to use Directory.
     Type: string (or Expression with resultType string).
    :type aad_resource_id: any
    :param aad_service_principal_credential_type: Specify the credential type (key or cert) is used
     for service principal. Possible values include: "ServicePrincipalKey", "ServicePrincipalCert".
    :type aad_service_principal_credential_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.ODataAadServicePrincipalCredentialType
    :param service_principal_key: Specify the secret of your application registered in Azure Active
     Directory. Type: string (or Expression with resultType string).
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_principal_embedded_cert: Specify the base64 encoded certificate of your
     application registered in Azure Active Directory. Type: string (or Expression with resultType
     string).
    :type service_principal_embedded_cert: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_principal_embedded_cert_password: Specify the password of your certificate if
     your certificate has a password and you are using AadServicePrincipal authentication. Type:
     string (or Expression with resultType string).
    :type service_principal_embedded_cert_password:
     ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'aad_resource_id': {'key': 'typeProperties.aadResourceId', 'type': 'object'},
        'aad_service_principal_credential_type': {'key': 'typeProperties.aadServicePrincipalCredentialType', 'type': 'str'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'service_principal_embedded_cert': {'key': 'typeProperties.servicePrincipalEmbeddedCert', 'type': 'SecretBase'},
        'service_principal_embedded_cert_password': {'key': 'typeProperties.servicePrincipalEmbeddedCertPassword', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Union[str, "ODataAuthenticationType"]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        service_principal_id: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        aad_resource_id: Optional[Any] = None,
        aad_service_principal_credential_type: Optional[Union[str, "ODataAadServicePrincipalCredentialType"]] = None,
        service_principal_key: Optional["SecretBase"] = None,
        service_principal_embedded_cert: Optional["SecretBase"] = None,
        service_principal_embedded_cert_password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ODataLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'OData'  # type: str
        self.url = url
        self.authentication_type = authentication_type
        self.user_name = user_name
        self.password = password
        self.tenant = tenant
        self.service_principal_id = service_principal_id
        self.azure_cloud_type = azure_cloud_type
        self.aad_resource_id = aad_resource_id
        self.aad_service_principal_credential_type = aad_service_principal_credential_type
        self.service_principal_key = service_principal_key
        self.service_principal_embedded_cert = service_principal_embedded_cert
        self.service_principal_embedded_cert_password = service_principal_embedded_cert_password
        self.encrypted_credential = encrypted_credential


class ODataResourceDataset(Dataset):
    """The Open Data Protocol (OData) resource dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param path: The OData resource path. Type: string (or Expression with resultType string).
    :type path: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'path': {'key': 'typeProperties.path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        path: Optional[Any] = None,
        **kwargs
    ):
        super(ODataResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ODataResource'  # type: str
        self.path = path


class ODataSource(CopySource):
    """A copy activity source for OData source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: OData query. For example, "$top=1". Type: string (or Expression with resultType
     string).
    :type query: any
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:05:00. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(ODataSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'ODataSource'  # type: str
        self.query = query
        self.http_request_timeout = http_request_timeout
        self.additional_columns = additional_columns


class OdbcLinkedService(LinkedService):
    """Open Database Connectivity (ODBC) linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The non-access credential portion of the connection string
     as well as an optional encrypted credential. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param authentication_type: Type of authentication used to connect to the ODBC data store.
     Possible values are: Anonymous and Basic. Type: string (or Expression with resultType string).
    :type authentication_type: any
    :param credential: The access credential portion of the connection string specified in
     driver-specific property-value format.
    :type credential: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param user_name: User name for Basic authentication. Type: string (or Expression with
     resultType string).
    :type user_name: any
    :param password: Password for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'object'},
        'credential': {'key': 'typeProperties.credential', 'type': 'SecretBase'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        authentication_type: Optional[Any] = None,
        credential: Optional["SecretBase"] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(OdbcLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Odbc'  # type: str
        self.connection_string = connection_string
        self.authentication_type = authentication_type
        self.credential = credential
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential


class OdbcSink(CopySink):
    """A copy activity ODBC sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: A query to execute before starting the copy. Type: string (or
     Expression with resultType string).
    :type pre_copy_script: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        **kwargs
    ):
        super(OdbcSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'OdbcSink'  # type: str
        self.pre_copy_script = pre_copy_script


class OdbcSource(TabularSource):
    """A copy activity source for ODBC databases.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(OdbcSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'OdbcSource'  # type: str
        self.query = query


class OdbcTableDataset(Dataset):
    """The ODBC table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The ODBC table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(OdbcTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'OdbcTable'  # type: str
        self.table_name = table_name


class Office365Dataset(Dataset):
    """The Office365 account.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: Required. Name of the dataset to extract from Office 365. Type: string (or
     Expression with resultType string).
    :type table_name: any
    :param predicate: A predicate expression that can be used to filter the specific rows to
     extract from Office 365. Type: string (or Expression with resultType string).
    :type predicate: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'table_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'predicate': {'key': 'typeProperties.predicate', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        table_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        predicate: Optional[Any] = None,
        **kwargs
    ):
        super(Office365Dataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Office365Table'  # type: str
        self.table_name = table_name
        self.predicate = predicate


class Office365LinkedService(LinkedService):
    """Office365 linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param office365_tenant_id: Required. Azure tenant ID to which the Office 365 account belongs.
     Type: string (or Expression with resultType string).
    :type office365_tenant_id: any
    :param service_principal_tenant_id: Required. Specify the tenant information under which your
     Azure AD web application resides. Type: string (or Expression with resultType string).
    :type service_principal_tenant_id: any
    :param service_principal_id: Required. Specify the application's client ID. Type: string (or
     Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: Required. Specify the application's key.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'office365_tenant_id': {'required': True},
        'service_principal_tenant_id': {'required': True},
        'service_principal_id': {'required': True},
        'service_principal_key': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'office365_tenant_id': {'key': 'typeProperties.office365TenantId', 'type': 'object'},
        'service_principal_tenant_id': {'key': 'typeProperties.servicePrincipalTenantId', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        office365_tenant_id: Any,
        service_principal_tenant_id: Any,
        service_principal_id: Any,
        service_principal_key: "SecretBase",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(Office365LinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Office365'  # type: str
        self.office365_tenant_id = office365_tenant_id
        self.service_principal_tenant_id = service_principal_tenant_id
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.encrypted_credential = encrypted_credential


class Office365Source(CopySource):
    """A copy activity source for an Office 365 service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param allowed_groups: The groups containing all the users. Type: array of strings (or
     Expression with resultType array of strings).
    :type allowed_groups: any
    :param user_scope_filter_uri: The user scope uri. Type: string (or Expression with resultType
     string).
    :type user_scope_filter_uri: any
    :param date_filter_column: The Column to apply the :code:`<paramref name="StartTime"/>` and
     :code:`<paramref name="EndTime"/>`. Type: string (or Expression with resultType string).
    :type date_filter_column: any
    :param start_time: Start time of the requested range for this dataset. Type: string (or
     Expression with resultType string).
    :type start_time: any
    :param end_time: End time of the requested range for this dataset. Type: string (or Expression
     with resultType string).
    :type end_time: any
    :param output_columns: The columns to be read out from the Office 365 table. Type: array of
     objects (or Expression with resultType array of objects). Example: [ { "name": "Id" }, {
     "name": "CreatedDateTime" } ].
    :type output_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'allowed_groups': {'key': 'allowedGroups', 'type': 'object'},
        'user_scope_filter_uri': {'key': 'userScopeFilterUri', 'type': 'object'},
        'date_filter_column': {'key': 'dateFilterColumn', 'type': 'object'},
        'start_time': {'key': 'startTime', 'type': 'object'},
        'end_time': {'key': 'endTime', 'type': 'object'},
        'output_columns': {'key': 'outputColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        allowed_groups: Optional[Any] = None,
        user_scope_filter_uri: Optional[Any] = None,
        date_filter_column: Optional[Any] = None,
        start_time: Optional[Any] = None,
        end_time: Optional[Any] = None,
        output_columns: Optional[Any] = None,
        **kwargs
    ):
        super(Office365Source, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'Office365Source'  # type: str
        self.allowed_groups = allowed_groups
        self.user_scope_filter_uri = user_scope_filter_uri
        self.date_filter_column = date_filter_column
        self.start_time = start_time
        self.end_time = end_time
        self.output_columns = output_columns


class OperationResult(msrest.serialization.Model):
    """Operation status for the operation.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar status: Operation status.
    :vartype status: str
    :param code: Error code.
    :type code: str
    :param message: Error message.
    :type message: str
    :param target: Property name/path in request associated with error.
    :type target: str
    :param details: Array with additional error details.
    :type details: list[~azure.synapse.artifacts.v2020_12_01.models.CloudError]
    """

    _validation = {
        'status': {'readonly': True},
    }

    _attribute_map = {
        'status': {'key': 'status', 'type': 'str'},
        'code': {'key': 'error.code', 'type': 'str'},
        'message': {'key': 'error.message', 'type': 'str'},
        'target': {'key': 'error.target', 'type': 'str'},
        'details': {'key': 'error.details', 'type': '[CloudError]'},
    }

    def __init__(
        self,
        *,
        code: Optional[str] = None,
        message: Optional[str] = None,
        target: Optional[str] = None,
        details: Optional[List["CloudError"]] = None,
        **kwargs
    ):
        super(OperationResult, self).__init__(**kwargs)
        self.status = None
        self.code = code
        self.message = message
        self.target = target
        self.details = details


class OracleLinkedService(LinkedService):
    """Oracle database.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(OracleLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Oracle'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.encrypted_credential = encrypted_credential


class OraclePartitionSettings(msrest.serialization.Model):
    """The settings that will be leveraged for Oracle source partitioning.

    :param partition_names: Names of the physical partitions of Oracle table.
    :type partition_names: any
    :param partition_column_name: The name of the column in integer type that will be used for
     proceeding range partitioning. Type: string (or Expression with resultType string).
    :type partition_column_name: any
    :param partition_upper_bound: The maximum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_upper_bound: any
    :param partition_lower_bound: The minimum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_lower_bound: any
    """

    _attribute_map = {
        'partition_names': {'key': 'partitionNames', 'type': 'object'},
        'partition_column_name': {'key': 'partitionColumnName', 'type': 'object'},
        'partition_upper_bound': {'key': 'partitionUpperBound', 'type': 'object'},
        'partition_lower_bound': {'key': 'partitionLowerBound', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        partition_names: Optional[Any] = None,
        partition_column_name: Optional[Any] = None,
        partition_upper_bound: Optional[Any] = None,
        partition_lower_bound: Optional[Any] = None,
        **kwargs
    ):
        super(OraclePartitionSettings, self).__init__(**kwargs)
        self.partition_names = partition_names
        self.partition_column_name = partition_column_name
        self.partition_upper_bound = partition_upper_bound
        self.partition_lower_bound = partition_lower_bound


class OracleServiceCloudLinkedService(LinkedService):
    """Oracle Service Cloud linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The URL of the Oracle Service Cloud instance.
    :type host: any
    :param username: Required. The user name that you use to access Oracle Service Cloud server.
    :type username: any
    :param password: Required. The password corresponding to the user name that you provided in the
     username key.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true. Type: boolean (or Expression with resultType boolean).
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true. Type: boolean (or Expression with resultType boolean).
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true. Type: boolean (or Expression with resultType
     boolean).
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'username': {'required': True},
        'password': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        username: Any,
        password: "SecretBase",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(OracleServiceCloudLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'OracleServiceCloud'  # type: str
        self.host = host
        self.username = username
        self.password = password
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class OracleServiceCloudObjectDataset(Dataset):
    """Oracle Service Cloud dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(OracleServiceCloudObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'OracleServiceCloudObject'  # type: str
        self.table_name = table_name


class OracleServiceCloudSource(TabularSource):
    """A copy activity Oracle Service Cloud source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(OracleServiceCloudSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'OracleServiceCloudSource'  # type: str
        self.query = query


class OracleSink(CopySink):
    """A copy activity Oracle sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        **kwargs
    ):
        super(OracleSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'OracleSink'  # type: str
        self.pre_copy_script = pre_copy_script


class OracleSource(CopySource):
    """A copy activity Oracle source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param oracle_reader_query: Oracle reader query. Type: string (or Expression with resultType
     string).
    :type oracle_reader_query: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param partition_option: The partition mechanism that will be used for Oracle read in parallel.
     Possible values include: "None", "PhysicalPartitionsOfTable", "DynamicRange".
    :type partition_option: str or
     ~azure.synapse.artifacts.v2020_12_01.models.OraclePartitionOption
    :param partition_settings: The settings that will be leveraged for Oracle source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.OraclePartitionSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'oracle_reader_query': {'key': 'oracleReaderQuery', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'str'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'OraclePartitionSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        oracle_reader_query: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        partition_option: Optional[Union[str, "OraclePartitionOption"]] = None,
        partition_settings: Optional["OraclePartitionSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(OracleSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'OracleSource'  # type: str
        self.oracle_reader_query = oracle_reader_query
        self.query_timeout = query_timeout
        self.partition_option = partition_option
        self.partition_settings = partition_settings
        self.additional_columns = additional_columns


class OracleTableDataset(Dataset):
    """The on-premises Oracle database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param schema_type_properties_schema: The schema name of the on-premises Oracle database. Type:
     string (or Expression with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of the on-premises Oracle database. Type: string (or Expression
     with resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(OracleTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'OracleTable'  # type: str
        self.table_name = table_name
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class OrcDataset(Dataset):
    """ORC dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the ORC data storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param orc_compression_codec:  Possible values include: "none", "zlib", "snappy", "lzo".
    :type orc_compression_codec: str or
     ~azure.synapse.artifacts.v2020_12_01.models.OrcCompressionCodec
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'orc_compression_codec': {'key': 'typeProperties.orcCompressionCodec', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        orc_compression_codec: Optional[Union[str, "OrcCompressionCodec"]] = None,
        **kwargs
    ):
        super(OrcDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Orc'  # type: str
        self.location = location
        self.orc_compression_codec = orc_compression_codec


class OrcFormat(DatasetStorageFormat):
    """The data stored in Optimized Row Columnar (ORC) format.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage format.Constant filled by server.
    :type type: str
    :param serializer: Serializer. Type: string (or Expression with resultType string).
    :type serializer: any
    :param deserializer: Deserializer. Type: string (or Expression with resultType string).
    :type deserializer: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'serializer': {'key': 'serializer', 'type': 'object'},
        'deserializer': {'key': 'deserializer', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        serializer: Optional[Any] = None,
        deserializer: Optional[Any] = None,
        **kwargs
    ):
        super(OrcFormat, self).__init__(additional_properties=additional_properties, serializer=serializer, deserializer=deserializer, **kwargs)
        self.type = 'OrcFormat'  # type: str


class OrcSink(CopySink):
    """A copy activity ORC sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: ORC store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreWriteSettings
    :param format_settings: ORC format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.OrcWriteSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreWriteSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'OrcWriteSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreWriteSettings"] = None,
        format_settings: Optional["OrcWriteSettings"] = None,
        **kwargs
    ):
        super(OrcSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'OrcSink'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings


class OrcSource(CopySource):
    """A copy activity ORC source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: ORC store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(OrcSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'OrcSource'  # type: str
        self.store_settings = store_settings
        self.additional_columns = additional_columns


class OrcWriteSettings(FormatWriteSettings):
    """Orc write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_rows_per_file: Limit the written file's row count to be smaller than or equal to the
     specified count. Type: integer (or Expression with resultType integer).
    :type max_rows_per_file: any
    :param file_name_prefix: Specifies the file name pattern
     :code:`<fileNamePrefix>`_:code:`<fileIndex>`.:code:`<fileExtension>` when copy from non-file
     based store without partitionOptions. Type: string (or Expression with resultType string).
    :type file_name_prefix: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_rows_per_file': {'key': 'maxRowsPerFile', 'type': 'object'},
        'file_name_prefix': {'key': 'fileNamePrefix', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_rows_per_file: Optional[Any] = None,
        file_name_prefix: Optional[Any] = None,
        **kwargs
    ):
        super(OrcWriteSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'OrcWriteSettings'  # type: str
        self.max_rows_per_file = max_rows_per_file
        self.file_name_prefix = file_name_prefix


class ParameterSpecification(msrest.serialization.Model):
    """Definition of a single parameter for an entity.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Parameter type. Possible values include: "Object", "String", "Int",
     "Float", "Bool", "Array", "SecureString".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.ParameterType
    :param default_value: Default value of parameter.
    :type default_value: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'default_value': {'key': 'defaultValue', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "ParameterType"],
        default_value: Optional[Any] = None,
        **kwargs
    ):
        super(ParameterSpecification, self).__init__(**kwargs)
        self.type = type
        self.default_value = default_value


class ParquetDataset(Dataset):
    """Parquet dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the parquet storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param compression_codec: A string from ParquetCompressionCodecEnum or an expression.
    :type compression_codec: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'compression_codec': {'key': 'typeProperties.compressionCodec', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        compression_codec: Optional[Any] = None,
        **kwargs
    ):
        super(ParquetDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Parquet'  # type: str
        self.location = location
        self.compression_codec = compression_codec


class ParquetFormat(DatasetStorageFormat):
    """The data stored in Parquet format.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage format.Constant filled by server.
    :type type: str
    :param serializer: Serializer. Type: string (or Expression with resultType string).
    :type serializer: any
    :param deserializer: Deserializer. Type: string (or Expression with resultType string).
    :type deserializer: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'serializer': {'key': 'serializer', 'type': 'object'},
        'deserializer': {'key': 'deserializer', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        serializer: Optional[Any] = None,
        deserializer: Optional[Any] = None,
        **kwargs
    ):
        super(ParquetFormat, self).__init__(additional_properties=additional_properties, serializer=serializer, deserializer=deserializer, **kwargs)
        self.type = 'ParquetFormat'  # type: str


class ParquetSink(CopySink):
    """A copy activity Parquet sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Parquet store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreWriteSettings
    :param format_settings: Parquet format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.ParquetWriteSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreWriteSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'ParquetWriteSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreWriteSettings"] = None,
        format_settings: Optional["ParquetWriteSettings"] = None,
        **kwargs
    ):
        super(ParquetSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'ParquetSink'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings


class ParquetSource(CopySource):
    """A copy activity Parquet source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Parquet store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(ParquetSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'ParquetSource'  # type: str
        self.store_settings = store_settings
        self.additional_columns = additional_columns


class ParquetWriteSettings(FormatWriteSettings):
    """Parquet write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_rows_per_file: Limit the written file's row count to be smaller than or equal to the
     specified count. Type: integer (or Expression with resultType integer).
    :type max_rows_per_file: any
    :param file_name_prefix: Specifies the file name pattern
     :code:`<fileNamePrefix>`_:code:`<fileIndex>`.:code:`<fileExtension>` when copy from non-file
     based store without partitionOptions. Type: string (or Expression with resultType string).
    :type file_name_prefix: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_rows_per_file': {'key': 'maxRowsPerFile', 'type': 'object'},
        'file_name_prefix': {'key': 'fileNamePrefix', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_rows_per_file: Optional[Any] = None,
        file_name_prefix: Optional[Any] = None,
        **kwargs
    ):
        super(ParquetWriteSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'ParquetWriteSettings'  # type: str
        self.max_rows_per_file = max_rows_per_file
        self.file_name_prefix = file_name_prefix


class PaypalLinkedService(LinkedService):
    """Paypal Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The URL of the PayPal instance. (i.e. api.sandbox.paypal.com).
    :type host: any
    :param client_id: Required. The client ID associated with your PayPal application.
    :type client_id: any
    :param client_secret: The client secret associated with your PayPal application.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        client_secret: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(PaypalLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Paypal'  # type: str
        self.host = host
        self.client_id = client_id
        self.client_secret = client_secret
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class PaypalObjectDataset(Dataset):
    """Paypal Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(PaypalObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'PaypalObject'  # type: str
        self.table_name = table_name


class PaypalSource(TabularSource):
    """A copy activity Paypal Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(PaypalSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'PaypalSource'  # type: str
        self.query = query


class PhoenixLinkedService(LinkedService):
    """Phoenix server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The IP address or host name of the Phoenix server. (i.e.
     192.168.222.160).
    :type host: any
    :param port: The TCP port that the Phoenix server uses to listen for client connections. The
     default value is 8765.
    :type port: any
    :param http_path: The partial URL corresponding to the Phoenix server. (i.e.
     /gateway/sandbox/phoenix/version). The default value is hbasephoenix if using
     WindowsAzureHDInsightService.
    :type http_path: any
    :param authentication_type: Required. The authentication mechanism used to connect to the
     Phoenix server. Possible values include: "Anonymous", "UsernameAndPassword",
     "WindowsAzureHDInsightService".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.PhoenixAuthenticationType
    :param username: The user name used to connect to the Phoenix server.
    :type username: any
    :param password: The password corresponding to the user name.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false.
    :type enable_ssl: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param allow_host_name_cn_mismatch: Specifies whether to require a CA-issued SSL certificate
     name to match the host name of the server when connecting over SSL. The default value is false.
    :type allow_host_name_cn_mismatch: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false.
    :type allow_self_signed_server_cert: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'http_path': {'key': 'typeProperties.httpPath', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'allow_host_name_cn_mismatch': {'key': 'typeProperties.allowHostNameCNMismatch', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        authentication_type: Union[str, "PhoenixAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        http_path: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        enable_ssl: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        allow_host_name_cn_mismatch: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(PhoenixLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Phoenix'  # type: str
        self.host = host
        self.port = port
        self.http_path = http_path
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.enable_ssl = enable_ssl
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.allow_host_name_cn_mismatch = allow_host_name_cn_mismatch
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.encrypted_credential = encrypted_credential


class PhoenixObjectDataset(Dataset):
    """Phoenix server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Phoenix. Type: string (or Expression with resultType
     string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Phoenix. Type: string (or
     Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(PhoenixObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'PhoenixObject'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class PhoenixSource(TabularSource):
    """A copy activity Phoenix server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(PhoenixSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'PhoenixSource'  # type: str
        self.query = query


class PipelineFolder(msrest.serialization.Model):
    """The folder that this Pipeline is in. If not specified, Pipeline will appear at the root level.

    :param name: The name of the folder that this Pipeline is in.
    :type name: str
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        **kwargs
    ):
        super(PipelineFolder, self).__init__(**kwargs)
        self.name = name


class PipelineListResponse(msrest.serialization.Model):
    """A list of pipeline resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of pipelines.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.PipelineResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[PipelineResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["PipelineResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(PipelineListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class PipelineReference(msrest.serialization.Model):
    """Pipeline reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Pipeline reference type. Possible values include: "PipelineReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.PipelineReferenceType
    :param reference_name: Required. Reference pipeline name.
    :type reference_name: str
    :param name: Reference name.
    :type name: str
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "PipelineReferenceType"],
        reference_name: str,
        name: Optional[str] = None,
        **kwargs
    ):
        super(PipelineReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name
        self.name = name


class PipelineResource(SubResource):
    """Pipeline resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param description: The description of the pipeline.
    :type description: str
    :param activities: List of activities in pipeline.
    :type activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    :param parameters: List of parameters for pipeline.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param variables: List of variables for pipeline.
    :type variables: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.VariableSpecification]
    :param concurrency: The max number of concurrent runs for the pipeline.
    :type concurrency: int
    :param annotations: List of tags that can be used for describing the Pipeline.
    :type annotations: list[any]
    :param run_dimensions: Dimensions emitted by Pipeline.
    :type run_dimensions: dict[str, any]
    :param folder: The folder that this Pipeline is in. If not specified, Pipeline will appear at
     the root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.PipelineFolder
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'concurrency': {'minimum': 1},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'additional_properties': {'key': '', 'type': '{object}'},
        'description': {'key': 'properties.description', 'type': 'str'},
        'activities': {'key': 'properties.activities', 'type': '[Activity]'},
        'parameters': {'key': 'properties.parameters', 'type': '{ParameterSpecification}'},
        'variables': {'key': 'properties.variables', 'type': '{VariableSpecification}'},
        'concurrency': {'key': 'properties.concurrency', 'type': 'int'},
        'annotations': {'key': 'properties.annotations', 'type': '[object]'},
        'run_dimensions': {'key': 'properties.runDimensions', 'type': '{object}'},
        'folder': {'key': 'properties.folder', 'type': 'PipelineFolder'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        activities: Optional[List["Activity"]] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        variables: Optional[Dict[str, "VariableSpecification"]] = None,
        concurrency: Optional[int] = None,
        annotations: Optional[List[Any]] = None,
        run_dimensions: Optional[Dict[str, Any]] = None,
        folder: Optional["PipelineFolder"] = None,
        **kwargs
    ):
        super(PipelineResource, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.description = description
        self.activities = activities
        self.parameters = parameters
        self.variables = variables
        self.concurrency = concurrency
        self.annotations = annotations
        self.run_dimensions = run_dimensions
        self.folder = folder


class PipelineRun(msrest.serialization.Model):
    """Information about a pipeline run.

    Variables are only populated by the server, and will be ignored when sending a request.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :ivar run_id: Identifier of a run.
    :vartype run_id: str
    :ivar run_group_id: Identifier that correlates all the recovery runs of a pipeline run.
    :vartype run_group_id: str
    :ivar is_latest: Indicates if the recovered pipeline run is the latest in its group.
    :vartype is_latest: bool
    :ivar pipeline_name: The pipeline name.
    :vartype pipeline_name: str
    :ivar parameters: The full or partial list of parameter name, value pair used in the pipeline
     run.
    :vartype parameters: dict[str, str]
    :ivar invoked_by: Entity that started the pipeline run.
    :vartype invoked_by: ~azure.synapse.artifacts.v2020_12_01.models.PipelineRunInvokedBy
    :ivar last_updated: The last updated timestamp for the pipeline run event in ISO8601 format.
    :vartype last_updated: ~datetime.datetime
    :ivar run_start: The start time of a pipeline run in ISO8601 format.
    :vartype run_start: ~datetime.datetime
    :ivar run_end: The end time of a pipeline run in ISO8601 format.
    :vartype run_end: ~datetime.datetime
    :ivar duration_in_ms: The duration of a pipeline run.
    :vartype duration_in_ms: int
    :ivar status: The status of a pipeline run.
    :vartype status: str
    :ivar message: The message from a pipeline run.
    :vartype message: str
    """

    _validation = {
        'run_id': {'readonly': True},
        'run_group_id': {'readonly': True},
        'is_latest': {'readonly': True},
        'pipeline_name': {'readonly': True},
        'parameters': {'readonly': True},
        'invoked_by': {'readonly': True},
        'last_updated': {'readonly': True},
        'run_start': {'readonly': True},
        'run_end': {'readonly': True},
        'duration_in_ms': {'readonly': True},
        'status': {'readonly': True},
        'message': {'readonly': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'run_id': {'key': 'runId', 'type': 'str'},
        'run_group_id': {'key': 'runGroupId', 'type': 'str'},
        'is_latest': {'key': 'isLatest', 'type': 'bool'},
        'pipeline_name': {'key': 'pipelineName', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{str}'},
        'invoked_by': {'key': 'invokedBy', 'type': 'PipelineRunInvokedBy'},
        'last_updated': {'key': 'lastUpdated', 'type': 'iso-8601'},
        'run_start': {'key': 'runStart', 'type': 'iso-8601'},
        'run_end': {'key': 'runEnd', 'type': 'iso-8601'},
        'duration_in_ms': {'key': 'durationInMs', 'type': 'int'},
        'status': {'key': 'status', 'type': 'str'},
        'message': {'key': 'message', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(PipelineRun, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.run_id = None
        self.run_group_id = None
        self.is_latest = None
        self.pipeline_name = None
        self.parameters = None
        self.invoked_by = None
        self.last_updated = None
        self.run_start = None
        self.run_end = None
        self.duration_in_ms = None
        self.status = None
        self.message = None


class PipelineRunInvokedBy(msrest.serialization.Model):
    """Provides entity name and id that started the pipeline run.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar name: Name of the entity that started the pipeline run.
    :vartype name: str
    :ivar id: The ID of the entity that started the run.
    :vartype id: str
    :ivar invoked_by_type: The type of the entity that started the run.
    :vartype invoked_by_type: str
    """

    _validation = {
        'name': {'readonly': True},
        'id': {'readonly': True},
        'invoked_by_type': {'readonly': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'id': {'key': 'id', 'type': 'str'},
        'invoked_by_type': {'key': 'invokedByType', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(PipelineRunInvokedBy, self).__init__(**kwargs)
        self.name = None
        self.id = None
        self.invoked_by_type = None


class PipelineRunsQueryResponse(msrest.serialization.Model):
    """A list pipeline runs.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of pipeline runs.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.PipelineRun]
    :param continuation_token: The continuation token for getting the next page of results, if any
     remaining results exist, null otherwise.
    :type continuation_token: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[PipelineRun]'},
        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["PipelineRun"],
        continuation_token: Optional[str] = None,
        **kwargs
    ):
        super(PipelineRunsQueryResponse, self).__init__(**kwargs)
        self.value = value
        self.continuation_token = continuation_token


class PolybaseSettings(msrest.serialization.Model):
    """PolyBase settings.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param reject_type: Reject type. Possible values include: "value", "percentage".
    :type reject_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.PolybaseSettingsRejectType
    :param reject_value: Specifies the value or the percentage of rows that can be rejected before
     the query fails. Type: number (or Expression with resultType number), minimum: 0.
    :type reject_value: any
    :param reject_sample_value: Determines the number of rows to attempt to retrieve before the
     PolyBase recalculates the percentage of rejected rows. Type: integer (or Expression with
     resultType integer), minimum: 0.
    :type reject_sample_value: any
    :param use_type_default: Specifies how to handle missing values in delimited text files when
     PolyBase retrieves data from the text file. Type: boolean (or Expression with resultType
     boolean).
    :type use_type_default: any
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'reject_type': {'key': 'rejectType', 'type': 'str'},
        'reject_value': {'key': 'rejectValue', 'type': 'object'},
        'reject_sample_value': {'key': 'rejectSampleValue', 'type': 'object'},
        'use_type_default': {'key': 'useTypeDefault', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        reject_type: Optional[Union[str, "PolybaseSettingsRejectType"]] = None,
        reject_value: Optional[Any] = None,
        reject_sample_value: Optional[Any] = None,
        use_type_default: Optional[Any] = None,
        **kwargs
    ):
        super(PolybaseSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.reject_type = reject_type
        self.reject_value = reject_value
        self.reject_sample_value = reject_sample_value
        self.use_type_default = use_type_default


class PostgreSqlLinkedService(LinkedService):
    """Linked service for PostgreSQL data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(PostgreSqlLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'PostgreSql'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.encrypted_credential = encrypted_credential


class PostgreSqlSource(TabularSource):
    """A copy activity source for PostgreSQL databases.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(PostgreSqlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'PostgreSqlSource'  # type: str
        self.query = query


class PostgreSqlTableDataset(Dataset):
    """The PostgreSQL table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The PostgreSQL table name. Type: string (or Expression with resultType string).
    :type table: any
    :param schema_type_properties_schema: The PostgreSQL schema name. Type: string (or Expression
     with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(PostgreSqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'PostgreSqlTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class PrestoLinkedService(LinkedService):
    """Presto server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The IP address or host name of the Presto server. (i.e.
     192.168.222.160).
    :type host: any
    :param server_version: Required. The version of the Presto server. (i.e. 0.148-t).
    :type server_version: any
    :param catalog: Required. The catalog context for all request against the server.
    :type catalog: any
    :param port: The TCP port that the Presto server uses to listen for client connections. The
     default value is 8080.
    :type port: any
    :param authentication_type: Required. The authentication mechanism used to connect to the
     Presto server. Possible values include: "Anonymous", "LDAP".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.PrestoAuthenticationType
    :param username: The user name used to connect to the Presto server.
    :type username: any
    :param password: The password corresponding to the user name.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false.
    :type enable_ssl: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param allow_host_name_cn_mismatch: Specifies whether to require a CA-issued SSL certificate
     name to match the host name of the server when connecting over SSL. The default value is false.
    :type allow_host_name_cn_mismatch: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false.
    :type allow_self_signed_server_cert: any
    :param time_zone_id: The local time zone used by the connection. Valid values for this option
     are specified in the IANA Time Zone Database. The default value is the system time zone.
    :type time_zone_id: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'server_version': {'required': True},
        'catalog': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'server_version': {'key': 'typeProperties.serverVersion', 'type': 'object'},
        'catalog': {'key': 'typeProperties.catalog', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'allow_host_name_cn_mismatch': {'key': 'typeProperties.allowHostNameCNMismatch', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'time_zone_id': {'key': 'typeProperties.timeZoneID', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        server_version: Any,
        catalog: Any,
        authentication_type: Union[str, "PrestoAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        enable_ssl: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        allow_host_name_cn_mismatch: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        time_zone_id: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(PrestoLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Presto'  # type: str
        self.host = host
        self.server_version = server_version
        self.catalog = catalog
        self.port = port
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.enable_ssl = enable_ssl
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.allow_host_name_cn_mismatch = allow_host_name_cn_mismatch
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.time_zone_id = time_zone_id
        self.encrypted_credential = encrypted_credential


class PrestoObjectDataset(Dataset):
    """Presto server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Presto. Type: string (or Expression with resultType
     string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Presto. Type: string (or
     Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(PrestoObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'PrestoObject'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class PrestoSource(TabularSource):
    """A copy activity Presto server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(PrestoSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'PrestoSource'  # type: str
        self.query = query


class PrivateEndpoint(msrest.serialization.Model):
    """Private endpoint details.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Resource id of the private endpoint.
    :vartype id: str
    """

    _validation = {
        'id': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(PrivateEndpoint, self).__init__(**kwargs)
        self.id = None


class ProxyResource(Resource):
    """The resource model definition for a Azure Resource Manager proxy resource. It will not have tags and a location.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(ProxyResource, self).__init__(**kwargs)


class PrivateEndpointConnection(ProxyResource):
    """A private endpoint connection.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :param private_endpoint: The private endpoint which the connection belongs to.
    :type private_endpoint: ~azure.synapse.artifacts.v2020_12_01.models.PrivateEndpoint
    :param private_link_service_connection_state: Connection state of the private endpoint
     connection.
    :type private_link_service_connection_state:
     ~azure.synapse.artifacts.v2020_12_01.models.PrivateLinkServiceConnectionState
    :ivar provisioning_state: Provisioning state of the private endpoint connection.
    :vartype provisioning_state: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'provisioning_state': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'private_endpoint': {'key': 'properties.privateEndpoint', 'type': 'PrivateEndpoint'},
        'private_link_service_connection_state': {'key': 'properties.privateLinkServiceConnectionState', 'type': 'PrivateLinkServiceConnectionState'},
        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        private_endpoint: Optional["PrivateEndpoint"] = None,
        private_link_service_connection_state: Optional["PrivateLinkServiceConnectionState"] = None,
        **kwargs
    ):
        super(PrivateEndpointConnection, self).__init__(**kwargs)
        self.private_endpoint = private_endpoint
        self.private_link_service_connection_state = private_link_service_connection_state
        self.provisioning_state = None


class PrivateLinkServiceConnectionState(msrest.serialization.Model):
    """Connection state details of the private endpoint.

    Variables are only populated by the server, and will be ignored when sending a request.

    :param status: The private link service connection status.
    :type status: str
    :param description: The private link service connection description.
    :type description: str
    :ivar actions_required: The actions required for private link service connection.
    :vartype actions_required: str
    """

    _validation = {
        'actions_required': {'readonly': True},
    }

    _attribute_map = {
        'status': {'key': 'status', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'actions_required': {'key': 'actionsRequired', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        status: Optional[str] = None,
        description: Optional[str] = None,
        **kwargs
    ):
        super(PrivateLinkServiceConnectionState, self).__init__(**kwargs)
        self.status = status
        self.description = description
        self.actions_required = None


class PurviewConfiguration(msrest.serialization.Model):
    """Purview Configuration.

    :param purview_resource_id: Purview Resource ID.
    :type purview_resource_id: str
    """

    _attribute_map = {
        'purview_resource_id': {'key': 'purviewResourceId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        purview_resource_id: Optional[str] = None,
        **kwargs
    ):
        super(PurviewConfiguration, self).__init__(**kwargs)
        self.purview_resource_id = purview_resource_id


class QueryDataFlowDebugSessionsResponse(msrest.serialization.Model):
    """A list of active debug sessions.

    :param value: Array with all active debug sessions.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.DataFlowDebugSessionInfo]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _attribute_map = {
        'value': {'key': 'value', 'type': '[DataFlowDebugSessionInfo]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: Optional[List["DataFlowDebugSessionInfo"]] = None,
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(QueryDataFlowDebugSessionsResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class QuickBooksLinkedService(LinkedService):
    """QuickBooks server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_properties: Properties used to connect to QuickBooks. It is mutually
     exclusive with any other properties in the linked service. Type: object.
    :type connection_properties: any
    :param endpoint: Required. The endpoint of the QuickBooks server. (i.e.
     quickbooks.api.intuit.com).
    :type endpoint: any
    :param company_id: Required. The company ID of the QuickBooks company to authorize.
    :type company_id: any
    :param consumer_key: Required. The consumer key for OAuth 1.0 authentication.
    :type consumer_key: any
    :param consumer_secret: Required. The consumer secret for OAuth 1.0 authentication.
    :type consumer_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param access_token: Required. The access token for OAuth 1.0 authentication.
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param access_token_secret: Required. The access token secret for OAuth 1.0 authentication.
    :type access_token_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'company_id': {'required': True},
        'consumer_key': {'required': True},
        'consumer_secret': {'required': True},
        'access_token': {'required': True},
        'access_token_secret': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_properties': {'key': 'typeProperties.connectionProperties', 'type': 'object'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'company_id': {'key': 'typeProperties.companyId', 'type': 'object'},
        'consumer_key': {'key': 'typeProperties.consumerKey', 'type': 'object'},
        'consumer_secret': {'key': 'typeProperties.consumerSecret', 'type': 'SecretBase'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'access_token_secret': {'key': 'typeProperties.accessTokenSecret', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        company_id: Any,
        consumer_key: Any,
        consumer_secret: "SecretBase",
        access_token: "SecretBase",
        access_token_secret: "SecretBase",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_properties: Optional[Any] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(QuickBooksLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'QuickBooks'  # type: str
        self.connection_properties = connection_properties
        self.endpoint = endpoint
        self.company_id = company_id
        self.consumer_key = consumer_key
        self.consumer_secret = consumer_secret
        self.access_token = access_token
        self.access_token_secret = access_token_secret
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.encrypted_credential = encrypted_credential


class QuickBooksObjectDataset(Dataset):
    """QuickBooks server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(QuickBooksObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'QuickBooksObject'  # type: str
        self.table_name = table_name


class QuickBooksSource(TabularSource):
    """A copy activity QuickBooks server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(QuickBooksSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'QuickBooksSource'  # type: str
        self.query = query


class RecurrenceSchedule(msrest.serialization.Model):
    """The recurrence schedule.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param minutes: The minutes.
    :type minutes: list[int]
    :param hours: The hours.
    :type hours: list[int]
    :param week_days: The days of the week.
    :type week_days: list[str or ~azure.synapse.artifacts.v2020_12_01.models.DayOfWeek]
    :param month_days: The month days.
    :type month_days: list[int]
    :param monthly_occurrences: The monthly occurrences.
    :type monthly_occurrences:
     list[~azure.synapse.artifacts.v2020_12_01.models.RecurrenceScheduleOccurrence]
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'minutes': {'key': 'minutes', 'type': '[int]'},
        'hours': {'key': 'hours', 'type': '[int]'},
        'week_days': {'key': 'weekDays', 'type': '[str]'},
        'month_days': {'key': 'monthDays', 'type': '[int]'},
        'monthly_occurrences': {'key': 'monthlyOccurrences', 'type': '[RecurrenceScheduleOccurrence]'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        minutes: Optional[List[int]] = None,
        hours: Optional[List[int]] = None,
        week_days: Optional[List[Union[str, "DayOfWeek"]]] = None,
        month_days: Optional[List[int]] = None,
        monthly_occurrences: Optional[List["RecurrenceScheduleOccurrence"]] = None,
        **kwargs
    ):
        super(RecurrenceSchedule, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.minutes = minutes
        self.hours = hours
        self.week_days = week_days
        self.month_days = month_days
        self.monthly_occurrences = monthly_occurrences


class RecurrenceScheduleOccurrence(msrest.serialization.Model):
    """The recurrence schedule occurrence.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param day: The day of the week. Possible values include: "Sunday", "Monday", "Tuesday",
     "Wednesday", "Thursday", "Friday", "Saturday".
    :type day: str or ~azure.synapse.artifacts.v2020_12_01.models.DayOfWeek
    :param occurrence: The occurrence.
    :type occurrence: int
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'day': {'key': 'day', 'type': 'str'},
        'occurrence': {'key': 'occurrence', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        day: Optional[Union[str, "DayOfWeek"]] = None,
        occurrence: Optional[int] = None,
        **kwargs
    ):
        super(RecurrenceScheduleOccurrence, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.day = day
        self.occurrence = occurrence


class RedirectIncompatibleRowSettings(msrest.serialization.Model):
    """Redirect incompatible row settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param linked_service_name: Required. Name of the Azure Storage, Storage SAS, or Azure Data
     Lake Store linked service used for redirecting incompatible row. Must be specified if
     redirectIncompatibleRowSettings is specified. Type: string (or Expression with resultType
     string).
    :type linked_service_name: any
    :param path: The path for storing the redirect incompatible row data. Type: string (or
     Expression with resultType string).
    :type path: any
    """

    _validation = {
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'object'},
        'path': {'key': 'path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        path: Optional[Any] = None,
        **kwargs
    ):
        super(RedirectIncompatibleRowSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.linked_service_name = linked_service_name
        self.path = path


class RedshiftUnloadSettings(msrest.serialization.Model):
    """The Amazon S3 settings needed for the interim Amazon S3 when copying from Amazon Redshift with unload. With this, data from Amazon Redshift source will be unloaded into S3 first and then copied into the targeted sink from the interim S3.

    All required parameters must be populated in order to send to Azure.

    :param s3_linked_service_name: Required. The name of the Amazon S3 linked service which will be
     used for the unload operation when copying from the Amazon Redshift source.
    :type s3_linked_service_name:
     ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param bucket_name: Required. The bucket of the interim Amazon S3 which will be used to store
     the unloaded data from Amazon Redshift source. The bucket must be in the same region as the
     Amazon Redshift source. Type: string (or Expression with resultType string).
    :type bucket_name: any
    """

    _validation = {
        's3_linked_service_name': {'required': True},
        'bucket_name': {'required': True},
    }

    _attribute_map = {
        's3_linked_service_name': {'key': 's3LinkedServiceName', 'type': 'LinkedServiceReference'},
        'bucket_name': {'key': 'bucketName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        s3_linked_service_name: "LinkedServiceReference",
        bucket_name: Any,
        **kwargs
    ):
        super(RedshiftUnloadSettings, self).__init__(**kwargs)
        self.s3_linked_service_name = s3_linked_service_name
        self.bucket_name = bucket_name


class RelationalSource(CopySource):
    """A copy activity source for various relational databases.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(RelationalSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'RelationalSource'  # type: str
        self.query = query
        self.additional_columns = additional_columns


class RelationalTableDataset(Dataset):
    """The relational table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The relational table name. Type: string (or Expression with resultType
     string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(RelationalTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'RelationalTable'  # type: str
        self.table_name = table_name


class RerunTriggerListResponse(msrest.serialization.Model):
    """A list of rerun triggers.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of rerun triggers.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.RerunTriggerResource]
    :ivar next_link: The continuation token for getting the next page of results, if any remaining
     results exist, null otherwise.
    :vartype next_link: str
    """

    _validation = {
        'value': {'required': True},
        'next_link': {'readonly': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[RerunTriggerResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["RerunTriggerResource"],
        **kwargs
    ):
        super(RerunTriggerListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = None


class RerunTriggerResource(SubResource):
    """RerunTrigger resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Properties of the rerun trigger.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.RerunTumblingWindowTrigger
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'RerunTumblingWindowTrigger'},
    }

    def __init__(
        self,
        *,
        properties: "RerunTumblingWindowTrigger",
        **kwargs
    ):
        super(RerunTriggerResource, self).__init__(**kwargs)
        self.properties = properties


class RerunTumblingWindowTrigger(Trigger):
    """Trigger that schedules pipeline reruns for all fixed time interval windows from a requested start time to requested end time.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param parent_trigger: Required. The parent trigger reference.
    :type parent_trigger: any
    :param requested_start_time: Required. The start time for the time period for which restatement
     is initiated. Only UTC time is currently supported.
    :type requested_start_time: ~datetime.datetime
    :param requested_end_time: Required. The end time for the time period for which restatement is
     initiated. Only UTC time is currently supported.
    :type requested_end_time: ~datetime.datetime
    :param rerun_concurrency: Required. The max number of parallel time windows (ready for
     execution) for which a rerun is triggered.
    :type rerun_concurrency: int
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'parent_trigger': {'required': True},
        'requested_start_time': {'required': True},
        'requested_end_time': {'required': True},
        'rerun_concurrency': {'required': True, 'maximum': 50, 'minimum': 1},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'parent_trigger': {'key': 'typeProperties.parentTrigger', 'type': 'object'},
        'requested_start_time': {'key': 'typeProperties.requestedStartTime', 'type': 'iso-8601'},
        'requested_end_time': {'key': 'typeProperties.requestedEndTime', 'type': 'iso-8601'},
        'rerun_concurrency': {'key': 'typeProperties.rerunConcurrency', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        parent_trigger: Any,
        requested_start_time: datetime.datetime,
        requested_end_time: datetime.datetime,
        rerun_concurrency: int,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(RerunTumblingWindowTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, **kwargs)
        self.type = 'RerunTumblingWindowTrigger'  # type: str
        self.parent_trigger = parent_trigger
        self.requested_start_time = requested_start_time
        self.requested_end_time = requested_end_time
        self.rerun_concurrency = rerun_concurrency


class RerunTumblingWindowTriggerActionParameters(msrest.serialization.Model):
    """Rerun tumbling window trigger Parameters.

    All required parameters must be populated in order to send to Azure.

    :param start_time: Required. The start time for the time period for which restatement is
     initiated. Only UTC time is currently supported.
    :type start_time: ~datetime.datetime
    :param end_time: Required. The end time for the time period for which restatement is initiated.
     Only UTC time is currently supported.
    :type end_time: ~datetime.datetime
    :param max_concurrency: Required. The max number of parallel time windows (ready for execution)
     for which a rerun is triggered.
    :type max_concurrency: int
    """

    _validation = {
        'start_time': {'required': True},
        'end_time': {'required': True},
        'max_concurrency': {'required': True, 'maximum': 50, 'minimum': 1},
    }

    _attribute_map = {
        'start_time': {'key': 'startTime', 'type': 'iso-8601'},
        'end_time': {'key': 'endTime', 'type': 'iso-8601'},
        'max_concurrency': {'key': 'maxConcurrency', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        start_time: datetime.datetime,
        end_time: datetime.datetime,
        max_concurrency: int,
        **kwargs
    ):
        super(RerunTumblingWindowTriggerActionParameters, self).__init__(**kwargs)
        self.start_time = start_time
        self.end_time = end_time
        self.max_concurrency = max_concurrency


class ResponsysLinkedService(LinkedService):
    """Responsys linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param endpoint: Required. The endpoint of the Responsys server.
    :type endpoint: any
    :param client_id: Required. The client ID associated with the Responsys application. Type:
     string (or Expression with resultType string).
    :type client_id: any
    :param client_secret: The client secret associated with the Responsys application. Type: string
     (or Expression with resultType string).
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true. Type: boolean (or Expression with resultType boolean).
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true. Type: boolean (or Expression with resultType boolean).
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true. Type: boolean (or Expression with resultType
     boolean).
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        client_secret: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ResponsysLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Responsys'  # type: str
        self.endpoint = endpoint
        self.client_id = client_id
        self.client_secret = client_secret
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class ResponsysObjectDataset(Dataset):
    """Responsys dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(ResponsysObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ResponsysObject'  # type: str
        self.table_name = table_name


class ResponsysSource(TabularSource):
    """A copy activity Responsys source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(ResponsysSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'ResponsysSource'  # type: str
        self.query = query


class RestResourceDataset(Dataset):
    """A Rest service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param relative_url: The relative URL to the resource that the RESTful API provides. Type:
     string (or Expression with resultType string).
    :type relative_url: any
    :param request_method: The HTTP method used to call the RESTful API. The default is GET. Type:
     string (or Expression with resultType string).
    :type request_method: any
    :param request_body: The HTTP request body to the RESTful API if requestMethod is POST. Type:
     string (or Expression with resultType string).
    :type request_body: any
    :param additional_headers: The additional HTTP headers in the request to the RESTful API. Type:
     string (or Expression with resultType string).
    :type additional_headers: any
    :param pagination_rules: The pagination rules to compose next page requests. Type: string (or
     Expression with resultType string).
    :type pagination_rules: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'relative_url': {'key': 'typeProperties.relativeUrl', 'type': 'object'},
        'request_method': {'key': 'typeProperties.requestMethod', 'type': 'object'},
        'request_body': {'key': 'typeProperties.requestBody', 'type': 'object'},
        'additional_headers': {'key': 'typeProperties.additionalHeaders', 'type': 'object'},
        'pagination_rules': {'key': 'typeProperties.paginationRules', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        relative_url: Optional[Any] = None,
        request_method: Optional[Any] = None,
        request_body: Optional[Any] = None,
        additional_headers: Optional[Any] = None,
        pagination_rules: Optional[Any] = None,
        **kwargs
    ):
        super(RestResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'RestResource'  # type: str
        self.relative_url = relative_url
        self.request_method = request_method
        self.request_body = request_body
        self.additional_headers = additional_headers
        self.pagination_rules = pagination_rules


class RestServiceLinkedService(LinkedService):
    """Rest Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The base URL of the REST service.
    :type url: any
    :param enable_server_certificate_validation: Whether to validate server side SSL certificate
     when connecting to the endpoint.The default value is true. Type: boolean (or Expression with
     resultType boolean).
    :type enable_server_certificate_validation: any
    :param authentication_type: Required. Type of authentication used to connect to the REST
     service. Possible values include: "Anonymous", "Basic", "AadServicePrincipal",
     "ManagedServiceIdentity".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.RestServiceAuthenticationType
    :param user_name: The user name used in Basic authentication type.
    :type user_name: any
    :param password: The password used in Basic authentication type.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param service_principal_id: The application's client ID used in AadServicePrincipal
     authentication type.
    :type service_principal_id: any
    :param service_principal_key: The application's key used in AadServicePrincipal authentication
     type.
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param tenant: The tenant information (domain name or tenant ID) used in AadServicePrincipal
     authentication type under which your application resides.
    :type tenant: any
    :param azure_cloud_type: Indicates the azure cloud type of the service principle auth. Allowed
     values are AzurePublic, AzureChina, AzureUsGovernment, AzureGermany. Default value is the data
     factory regions’ cloud type. Type: string (or Expression with resultType string).
    :type azure_cloud_type: any
    :param aad_resource_id: The resource you are requesting authorization to use.
    :type aad_resource_id: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'enable_server_certificate_validation': {'key': 'typeProperties.enableServerCertificateValidation', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'azure_cloud_type': {'key': 'typeProperties.azureCloudType', 'type': 'object'},
        'aad_resource_id': {'key': 'typeProperties.aadResourceId', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        authentication_type: Union[str, "RestServiceAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        enable_server_certificate_validation: Optional[Any] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        service_principal_id: Optional[Any] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[Any] = None,
        azure_cloud_type: Optional[Any] = None,
        aad_resource_id: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(RestServiceLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'RestService'  # type: str
        self.url = url
        self.enable_server_certificate_validation = enable_server_certificate_validation
        self.authentication_type = authentication_type
        self.user_name = user_name
        self.password = password
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.azure_cloud_type = azure_cloud_type
        self.aad_resource_id = aad_resource_id
        self.encrypted_credential = encrypted_credential


class RestSink(CopySink):
    """A copy activity Rest service Sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param request_method: The HTTP method used to call the RESTful API. The default is POST. Type:
     string (or Expression with resultType string).
    :type request_method: any
    :param additional_headers: The additional HTTP headers in the request to the RESTful API. Type:
     string (or Expression with resultType string).
    :type additional_headers: any
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:01:40. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    :param request_interval: The time to await before sending next request, in milliseconds.
    :type request_interval: any
    :param http_compression_type: Http Compression Type to Send data in compressed format with
     Optimal Compression Level, Default is None. And The Only Supported option is Gzip.
    :type http_compression_type: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'request_method': {'key': 'requestMethod', 'type': 'object'},
        'additional_headers': {'key': 'additionalHeaders', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
        'request_interval': {'key': 'requestInterval', 'type': 'object'},
        'http_compression_type': {'key': 'httpCompressionType', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        request_method: Optional[Any] = None,
        additional_headers: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        request_interval: Optional[Any] = None,
        http_compression_type: Optional[Any] = None,
        **kwargs
    ):
        super(RestSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'RestSink'  # type: str
        self.request_method = request_method
        self.additional_headers = additional_headers
        self.http_request_timeout = http_request_timeout
        self.request_interval = request_interval
        self.http_compression_type = http_compression_type


class RestSource(CopySource):
    """A copy activity Rest service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param request_method: The HTTP method used to call the RESTful API. The default is GET. Type:
     string (or Expression with resultType string).
    :type request_method: any
    :param request_body: The HTTP request body to the RESTful API if requestMethod is POST. Type:
     string (or Expression with resultType string).
    :type request_body: any
    :param additional_headers: The additional HTTP headers in the request to the RESTful API. Type:
     string (or Expression with resultType string).
    :type additional_headers: any
    :param pagination_rules: The pagination rules to compose next page requests. Type: string (or
     Expression with resultType string).
    :type pagination_rules: any
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:01:40. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    :param request_interval: The time to await before sending next page request.
    :type request_interval: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'request_method': {'key': 'requestMethod', 'type': 'object'},
        'request_body': {'key': 'requestBody', 'type': 'object'},
        'additional_headers': {'key': 'additionalHeaders', 'type': 'object'},
        'pagination_rules': {'key': 'paginationRules', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
        'request_interval': {'key': 'requestInterval', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        request_method: Optional[Any] = None,
        request_body: Optional[Any] = None,
        additional_headers: Optional[Any] = None,
        pagination_rules: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        request_interval: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(RestSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'RestSource'  # type: str
        self.request_method = request_method
        self.request_body = request_body
        self.additional_headers = additional_headers
        self.pagination_rules = pagination_rules
        self.http_request_timeout = http_request_timeout
        self.request_interval = request_interval
        self.additional_columns = additional_columns


class RetryPolicy(msrest.serialization.Model):
    """Execution policy for an activity.

    :param count: Maximum ordinary retry attempts. Default is 0. Type: integer (or Expression with
     resultType integer), minimum: 0.
    :type count: any
    :param interval_in_seconds: Interval between retries in seconds. Default is 30.
    :type interval_in_seconds: int
    """

    _validation = {
        'interval_in_seconds': {'maximum': 86400, 'minimum': 30},
    }

    _attribute_map = {
        'count': {'key': 'count', 'type': 'object'},
        'interval_in_seconds': {'key': 'intervalInSeconds', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        count: Optional[Any] = None,
        interval_in_seconds: Optional[int] = None,
        **kwargs
    ):
        super(RetryPolicy, self).__init__(**kwargs)
        self.count = count
        self.interval_in_seconds = interval_in_seconds


class RunFilterParameters(msrest.serialization.Model):
    """Query parameters for listing runs.

    All required parameters must be populated in order to send to Azure.

    :param continuation_token: The continuation token for getting the next page of results. Null
     for first page.
    :type continuation_token: str
    :param last_updated_after: Required. The time at or after which the run event was updated in
     'ISO 8601' format.
    :type last_updated_after: ~datetime.datetime
    :param last_updated_before: Required. The time at or before which the run event was updated in
     'ISO 8601' format.
    :type last_updated_before: ~datetime.datetime
    :param filters: List of filters.
    :type filters: list[~azure.synapse.artifacts.v2020_12_01.models.RunQueryFilter]
    :param order_by: List of OrderBy option.
    :type order_by: list[~azure.synapse.artifacts.v2020_12_01.models.RunQueryOrderBy]
    """

    _validation = {
        'last_updated_after': {'required': True},
        'last_updated_before': {'required': True},
    }

    _attribute_map = {
        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
        'last_updated_after': {'key': 'lastUpdatedAfter', 'type': 'iso-8601'},
        'last_updated_before': {'key': 'lastUpdatedBefore', 'type': 'iso-8601'},
        'filters': {'key': 'filters', 'type': '[RunQueryFilter]'},
        'order_by': {'key': 'orderBy', 'type': '[RunQueryOrderBy]'},
    }

    def __init__(
        self,
        *,
        last_updated_after: datetime.datetime,
        last_updated_before: datetime.datetime,
        continuation_token: Optional[str] = None,
        filters: Optional[List["RunQueryFilter"]] = None,
        order_by: Optional[List["RunQueryOrderBy"]] = None,
        **kwargs
    ):
        super(RunFilterParameters, self).__init__(**kwargs)
        self.continuation_token = continuation_token
        self.last_updated_after = last_updated_after
        self.last_updated_before = last_updated_before
        self.filters = filters
        self.order_by = order_by


class RunQueryFilter(msrest.serialization.Model):
    """Query filter option for listing runs.

    All required parameters must be populated in order to send to Azure.

    :param operand: Required. Parameter name to be used for filter. The allowed operands to query
     pipeline runs are PipelineName, RunStart, RunEnd and Status; to query activity runs are
     ActivityName, ActivityRunStart, ActivityRunEnd, ActivityType and Status, and to query trigger
     runs are TriggerName, TriggerRunTimestamp and Status. Possible values include: "PipelineName",
     "Status", "RunStart", "RunEnd", "ActivityName", "ActivityRunStart", "ActivityRunEnd",
     "ActivityType", "TriggerName", "TriggerRunTimestamp", "RunGroupId", "LatestOnly".
    :type operand: str or ~azure.synapse.artifacts.v2020_12_01.models.RunQueryFilterOperand
    :param operator: Required. Operator to be used for filter. Possible values include: "Equals",
     "NotEquals", "In", "NotIn".
    :type operator: str or ~azure.synapse.artifacts.v2020_12_01.models.RunQueryFilterOperator
    :param values: Required. List of filter values.
    :type values: list[str]
    """

    _validation = {
        'operand': {'required': True},
        'operator': {'required': True},
        'values': {'required': True},
    }

    _attribute_map = {
        'operand': {'key': 'operand', 'type': 'str'},
        'operator': {'key': 'operator', 'type': 'str'},
        'values': {'key': 'values', 'type': '[str]'},
    }

    def __init__(
        self,
        *,
        operand: Union[str, "RunQueryFilterOperand"],
        operator: Union[str, "RunQueryFilterOperator"],
        values: List[str],
        **kwargs
    ):
        super(RunQueryFilter, self).__init__(**kwargs)
        self.operand = operand
        self.operator = operator
        self.values = values


class RunQueryOrderBy(msrest.serialization.Model):
    """An object to provide order by options for listing runs.

    All required parameters must be populated in order to send to Azure.

    :param order_by: Required. Parameter name to be used for order by. The allowed parameters to
     order by for pipeline runs are PipelineName, RunStart, RunEnd and Status; for activity runs are
     ActivityName, ActivityRunStart, ActivityRunEnd and Status; for trigger runs are TriggerName,
     TriggerRunTimestamp and Status. Possible values include: "RunStart", "RunEnd", "PipelineName",
     "Status", "ActivityName", "ActivityRunStart", "ActivityRunEnd", "TriggerName",
     "TriggerRunTimestamp".
    :type order_by: str or ~azure.synapse.artifacts.v2020_12_01.models.RunQueryOrderByField
    :param order: Required. Sorting order of the parameter. Possible values include: "ASC", "DESC".
    :type order: str or ~azure.synapse.artifacts.v2020_12_01.models.RunQueryOrder
    """

    _validation = {
        'order_by': {'required': True},
        'order': {'required': True},
    }

    _attribute_map = {
        'order_by': {'key': 'orderBy', 'type': 'str'},
        'order': {'key': 'order', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        order_by: Union[str, "RunQueryOrderByField"],
        order: Union[str, "RunQueryOrder"],
        **kwargs
    ):
        super(RunQueryOrderBy, self).__init__(**kwargs)
        self.order_by = order_by
        self.order = order


class SalesforceLinkedService(LinkedService):
    """Linked service for Salesforce.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param environment_url: The URL of Salesforce instance. Default is
     'https://login.salesforce.com'. To copy data from sandbox, specify
     'https://test.salesforce.com'. To copy data from custom domain, specify, for example,
     'https://[domain].my.salesforce.com'. Type: string (or Expression with resultType string).
    :type environment_url: any
    :param username: The username for Basic authentication of the Salesforce instance. Type: string
     (or Expression with resultType string).
    :type username: any
    :param password: The password for Basic authentication of the Salesforce instance.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param security_token: The security token is optional to remotely access Salesforce instance.
    :type security_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param api_version: The Salesforce API version used in ADF. Type: string (or Expression with
     resultType string).
    :type api_version: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'environment_url': {'key': 'typeProperties.environmentUrl', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'security_token': {'key': 'typeProperties.securityToken', 'type': 'SecretBase'},
        'api_version': {'key': 'typeProperties.apiVersion', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        environment_url: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        security_token: Optional["SecretBase"] = None,
        api_version: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Salesforce'  # type: str
        self.environment_url = environment_url
        self.username = username
        self.password = password
        self.security_token = security_token
        self.api_version = api_version
        self.encrypted_credential = encrypted_credential


class SalesforceMarketingCloudLinkedService(LinkedService):
    """Salesforce Marketing Cloud linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_properties: Properties used to connect to Salesforce Marketing Cloud. It is
     mutually exclusive with any other properties in the linked service. Type: object.
    :type connection_properties: any
    :param client_id: Required. The client ID associated with the Salesforce Marketing Cloud
     application. Type: string (or Expression with resultType string).
    :type client_id: any
    :param client_secret: The client secret associated with the Salesforce Marketing Cloud
     application. Type: string (or Expression with resultType string).
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true. Type: boolean (or Expression with resultType boolean).
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true. Type: boolean (or Expression with resultType boolean).
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true. Type: boolean (or Expression with resultType
     boolean).
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_properties': {'key': 'typeProperties.connectionProperties', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_properties: Optional[Any] = None,
        client_secret: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceMarketingCloudLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SalesforceMarketingCloud'  # type: str
        self.connection_properties = connection_properties
        self.client_id = client_id
        self.client_secret = client_secret
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class SalesforceMarketingCloudObjectDataset(Dataset):
    """Salesforce Marketing Cloud dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceMarketingCloudObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SalesforceMarketingCloudObject'  # type: str
        self.table_name = table_name


class SalesforceMarketingCloudSource(TabularSource):
    """A copy activity Salesforce Marketing Cloud source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceMarketingCloudSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SalesforceMarketingCloudSource'  # type: str
        self.query = query


class SalesforceObjectDataset(Dataset):
    """The Salesforce object dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param object_api_name: The Salesforce object API name. Type: string (or Expression with
     resultType string).
    :type object_api_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'object_api_name': {'key': 'typeProperties.objectApiName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        object_api_name: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SalesforceObject'  # type: str
        self.object_api_name = object_api_name


class SalesforceServiceCloudLinkedService(LinkedService):
    """Linked service for Salesforce Service Cloud.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param environment_url: The URL of Salesforce Service Cloud instance. Default is
     'https://login.salesforce.com'. To copy data from sandbox, specify
     'https://test.salesforce.com'. To copy data from custom domain, specify, for example,
     'https://[domain].my.salesforce.com'. Type: string (or Expression with resultType string).
    :type environment_url: any
    :param username: The username for Basic authentication of the Salesforce instance. Type: string
     (or Expression with resultType string).
    :type username: any
    :param password: The password for Basic authentication of the Salesforce instance.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param security_token: The security token is optional to remotely access Salesforce instance.
    :type security_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param api_version: The Salesforce API version used in ADF. Type: string (or Expression with
     resultType string).
    :type api_version: any
    :param extended_properties: Extended properties appended to the connection string. Type: string
     (or Expression with resultType string).
    :type extended_properties: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'environment_url': {'key': 'typeProperties.environmentUrl', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'security_token': {'key': 'typeProperties.securityToken', 'type': 'SecretBase'},
        'api_version': {'key': 'typeProperties.apiVersion', 'type': 'object'},
        'extended_properties': {'key': 'typeProperties.extendedProperties', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        environment_url: Optional[Any] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        security_token: Optional["SecretBase"] = None,
        api_version: Optional[Any] = None,
        extended_properties: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceServiceCloudLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SalesforceServiceCloud'  # type: str
        self.environment_url = environment_url
        self.username = username
        self.password = password
        self.security_token = security_token
        self.api_version = api_version
        self.extended_properties = extended_properties
        self.encrypted_credential = encrypted_credential


class SalesforceServiceCloudObjectDataset(Dataset):
    """The Salesforce Service Cloud object dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param object_api_name: The Salesforce Service Cloud object API name. Type: string (or
     Expression with resultType string).
    :type object_api_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'object_api_name': {'key': 'typeProperties.objectApiName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        object_api_name: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceServiceCloudObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SalesforceServiceCloudObject'  # type: str
        self.object_api_name = object_api_name


class SalesforceServiceCloudSink(CopySink):
    """A copy activity Salesforce Service Cloud sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: The write behavior for the operation. Default is Insert. Possible values
     include: "Insert", "Upsert".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SalesforceSinkWriteBehavior
    :param external_id_field_name: The name of the external ID field for upsert operation. Default
     value is 'Id' column. Type: string (or Expression with resultType string).
    :type external_id_field_name: any
    :param ignore_null_values: The flag indicating whether or not to ignore null values from input
     dataset (except key fields) during write operation. Default value is false. If set it to true,
     it means ADF will leave the data in the destination object unchanged when doing upsert/update
     operation and insert defined default value when doing insert operation, versus ADF will update
     the data in the destination object to NULL when doing upsert/update operation and insert NULL
     value when doing insert operation. Type: boolean (or Expression with resultType boolean).
    :type ignore_null_values: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
        'external_id_field_name': {'key': 'externalIdFieldName', 'type': 'object'},
        'ignore_null_values': {'key': 'ignoreNullValues', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        write_behavior: Optional[Union[str, "SalesforceSinkWriteBehavior"]] = None,
        external_id_field_name: Optional[Any] = None,
        ignore_null_values: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceServiceCloudSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SalesforceServiceCloudSink'  # type: str
        self.write_behavior = write_behavior
        self.external_id_field_name = external_id_field_name
        self.ignore_null_values = ignore_null_values


class SalesforceServiceCloudSource(CopySource):
    """A copy activity Salesforce Service Cloud source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    :param read_behavior: The read behavior for the operation. Default is Query. Possible values
     include: "Query", "QueryAll".
    :type read_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SalesforceSourceReadBehavior
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'read_behavior': {'key': 'readBehavior', 'type': 'str'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        read_behavior: Optional[Union[str, "SalesforceSourceReadBehavior"]] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceServiceCloudSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SalesforceServiceCloudSource'  # type: str
        self.query = query
        self.read_behavior = read_behavior
        self.additional_columns = additional_columns


class SalesforceSink(CopySink):
    """A copy activity Salesforce sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: The write behavior for the operation. Default is Insert. Possible values
     include: "Insert", "Upsert".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SalesforceSinkWriteBehavior
    :param external_id_field_name: The name of the external ID field for upsert operation. Default
     value is 'Id' column. Type: string (or Expression with resultType string).
    :type external_id_field_name: any
    :param ignore_null_values: The flag indicating whether or not to ignore null values from input
     dataset (except key fields) during write operation. Default value is false. If set it to true,
     it means ADF will leave the data in the destination object unchanged when doing upsert/update
     operation and insert defined default value when doing insert operation, versus ADF will update
     the data in the destination object to NULL when doing upsert/update operation and insert NULL
     value when doing insert operation. Type: boolean (or Expression with resultType boolean).
    :type ignore_null_values: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
        'external_id_field_name': {'key': 'externalIdFieldName', 'type': 'object'},
        'ignore_null_values': {'key': 'ignoreNullValues', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        write_behavior: Optional[Union[str, "SalesforceSinkWriteBehavior"]] = None,
        external_id_field_name: Optional[Any] = None,
        ignore_null_values: Optional[Any] = None,
        **kwargs
    ):
        super(SalesforceSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SalesforceSink'  # type: str
        self.write_behavior = write_behavior
        self.external_id_field_name = external_id_field_name
        self.ignore_null_values = ignore_null_values


class SalesforceSource(TabularSource):
    """A copy activity Salesforce source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    :param read_behavior: The read behavior for the operation. Default is Query. Possible values
     include: "Query", "QueryAll".
    :type read_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SalesforceSourceReadBehavior
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'read_behavior': {'key': 'readBehavior', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        read_behavior: Optional[Union[str, "SalesforceSourceReadBehavior"]] = None,
        **kwargs
    ):
        super(SalesforceSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SalesforceSource'  # type: str
        self.query = query
        self.read_behavior = read_behavior


class SapBwCubeDataset(Dataset):
    """The SAP BW cube dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(SapBwCubeDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SapBwCube'  # type: str


class SapBWLinkedService(LinkedService):
    """SAP Business Warehouse Linked Service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param server: Required. Host name of the SAP BW instance. Type: string (or Expression with
     resultType string).
    :type server: any
    :param system_number: Required. System number of the BW system. (Usually a two-digit decimal
     number represented as a string.) Type: string (or Expression with resultType string).
    :type system_number: any
    :param client_id: Required. Client ID of the client on the BW system. (Usually a three-digit
     decimal number represented as a string) Type: string (or Expression with resultType string).
    :type client_id: any
    :param user_name: Username to access the SAP BW server. Type: string (or Expression with
     resultType string).
    :type user_name: any
    :param password: Password to access the SAP BW server.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
        'system_number': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'system_number': {'key': 'typeProperties.systemNumber', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        system_number: Any,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SapBWLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SapBW'  # type: str
        self.server = server
        self.system_number = system_number
        self.client_id = client_id
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential


class SapBwSource(TabularSource):
    """A copy activity source for SapBW server via MDX.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: MDX query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(SapBwSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SapBwSource'  # type: str
        self.query = query


class SapCloudForCustomerLinkedService(LinkedService):
    """Linked service for SAP Cloud for Customer.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The URL of SAP Cloud for Customer OData API. For example,
     '[https://[tenantname].crm.ondemand.com/sap/c4c/odata/v1]'. Type: string (or Expression with
     resultType string).
    :type url: any
    :param username: The username for Basic authentication. Type: string (or Expression with
     resultType string).
    :type username: any
    :param password: The password for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Either encryptedCredential or
     username/password must be provided. Type: string (or Expression with resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SapCloudForCustomerLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SapCloudForCustomer'  # type: str
        self.url = url
        self.username = username
        self.password = password
        self.encrypted_credential = encrypted_credential


class SapCloudForCustomerResourceDataset(Dataset):
    """The path of the SAP Cloud for Customer OData entity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param path: Required. The path of the SAP Cloud for Customer OData entity. Type: string (or
     Expression with resultType string).
    :type path: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'path': {'key': 'typeProperties.path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(SapCloudForCustomerResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SapCloudForCustomerResource'  # type: str
        self.path = path


class SapCloudForCustomerSink(CopySink):
    """A copy activity SAP Cloud for Customer sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param write_behavior: The write behavior for the operation. Default is 'Insert'. Possible
     values include: "Insert", "Update".
    :type write_behavior: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SapCloudForCustomerSinkWriteBehavior
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:05:00. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'write_behavior': {'key': 'writeBehavior', 'type': 'str'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        write_behavior: Optional[Union[str, "SapCloudForCustomerSinkWriteBehavior"]] = None,
        http_request_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(SapCloudForCustomerSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SapCloudForCustomerSink'  # type: str
        self.write_behavior = write_behavior
        self.http_request_timeout = http_request_timeout


class SapCloudForCustomerSource(TabularSource):
    """A copy activity source for SAP Cloud for Customer source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: SAP Cloud for Customer OData query. For example, "$top=1". Type: string (or
     Expression with resultType string).
    :type query: any
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:05:00. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(SapCloudForCustomerSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SapCloudForCustomerSource'  # type: str
        self.query = query
        self.http_request_timeout = http_request_timeout


class SapEccLinkedService(LinkedService):
    """Linked service for SAP ERP Central Component(SAP ECC).

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param url: Required. The URL of SAP ECC OData API. For example,
     '[https://hostname:port/sap/opu/odata/sap/servicename/]'. Type: string (or Expression with
     resultType string).
    :type url: str
    :param username: The username for Basic authentication. Type: string (or Expression with
     resultType string).
    :type username: str
    :param password: The password for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Either encryptedCredential or
     username/password must be provided. Type: string (or Expression with resultType string).
    :type encrypted_credential: str
    """

    _validation = {
        'type': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'url': {'key': 'typeProperties.url', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'str'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        url: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        username: Optional[str] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[str] = None,
        **kwargs
    ):
        super(SapEccLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SapEcc'  # type: str
        self.url = url
        self.username = username
        self.password = password
        self.encrypted_credential = encrypted_credential


class SapEccResourceDataset(Dataset):
    """The path of the SAP ECC OData entity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param path: Required. The path of the SAP ECC OData entity. Type: string (or Expression with
     resultType string).
    :type path: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'path': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'path': {'key': 'typeProperties.path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        path: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(SapEccResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SapEccResource'  # type: str
        self.path = path


class SapEccSource(TabularSource):
    """A copy activity source for SAP ECC source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: SAP ECC OData query. For example, "$top=1". Type: string (or Expression with
     resultType string).
    :type query: any
    :param http_request_timeout: The timeout (TimeSpan) to get an HTTP response. It is the timeout
     to get a response, not the timeout to read response data. Default value: 00:05:00. Type: string
     (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(SapEccSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SapEccSource'  # type: str
        self.query = query
        self.http_request_timeout = http_request_timeout


class SapHanaLinkedService(LinkedService):
    """SAP HANA Linked Service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: SAP HANA ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param server: Required. Host name of the SAP HANA server. Type: string (or Expression with
     resultType string).
    :type server: any
    :param authentication_type: The authentication type to be used to connect to the SAP HANA
     server. Possible values include: "Basic", "Windows".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SapHanaAuthenticationType
    :param user_name: Username to access the SAP HANA server. Type: string (or Expression with
     resultType string).
    :type user_name: any
    :param password: Password to access the SAP HANA server.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        authentication_type: Optional[Union[str, "SapHanaAuthenticationType"]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SapHanaLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SapHana'  # type: str
        self.connection_string = connection_string
        self.server = server
        self.authentication_type = authentication_type
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential


class SapHanaPartitionSettings(msrest.serialization.Model):
    """The settings that will be leveraged for SAP HANA source partitioning.

    :param partition_column_name: The name of the column that will be used for proceeding range
     partitioning. Type: string (or Expression with resultType string).
    :type partition_column_name: any
    """

    _attribute_map = {
        'partition_column_name': {'key': 'partitionColumnName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        partition_column_name: Optional[Any] = None,
        **kwargs
    ):
        super(SapHanaPartitionSettings, self).__init__(**kwargs)
        self.partition_column_name = partition_column_name


class SapHanaSource(TabularSource):
    """A copy activity source for SAP HANA source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: SAP HANA Sql query. Type: string (or Expression with resultType string).
    :type query: any
    :param packet_size: The packet size of data read from SAP HANA. Type: integer(or Expression
     with resultType integer).
    :type packet_size: any
    :param partition_option: The partition mechanism that will be used for SAP HANA read in
     parallel. Possible values include: "None", "PhysicalPartitionsOfTable", "SapHanaDynamicRange".
    :type partition_option: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SapHanaPartitionOption
    :param partition_settings: The settings that will be leveraged for SAP HANA source
     partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SapHanaPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'packet_size': {'key': 'packetSize', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'str'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SapHanaPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        packet_size: Optional[Any] = None,
        partition_option: Optional[Union[str, "SapHanaPartitionOption"]] = None,
        partition_settings: Optional["SapHanaPartitionSettings"] = None,
        **kwargs
    ):
        super(SapHanaSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SapHanaSource'  # type: str
        self.query = query
        self.packet_size = packet_size
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class SapHanaTableDataset(Dataset):
    """SAP HANA Table properties.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param schema_type_properties_schema: The schema name of SAP HANA. Type: string (or Expression
     with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of SAP HANA. Type: string (or Expression with resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(SapHanaTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SapHanaTable'  # type: str
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class SapOpenHubLinkedService(LinkedService):
    """SAP Business Warehouse Open Hub Destination Linked Service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param server: Required. Host name of the SAP BW instance where the open hub destination is
     located. Type: string (or Expression with resultType string).
    :type server: any
    :param system_number: Required. System number of the BW system where the open hub destination
     is located. (Usually a two-digit decimal number represented as a string.) Type: string (or
     Expression with resultType string).
    :type system_number: any
    :param client_id: Required. Client ID of the client on the BW system where the open hub
     destination is located. (Usually a three-digit decimal number represented as a string) Type:
     string (or Expression with resultType string).
    :type client_id: any
    :param language: Language of the BW system where the open hub destination is located. The
     default value is EN. Type: string (or Expression with resultType string).
    :type language: any
    :param system_id: SystemID of the SAP system where the table is located. Type: string (or
     Expression with resultType string).
    :type system_id: any
    :param user_name: Username to access the SAP BW server where the open hub destination is
     located. Type: string (or Expression with resultType string).
    :type user_name: any
    :param password: Password to access the SAP BW server where the open hub destination is
     located.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param message_server: The hostname of the SAP Message Server. Type: string (or Expression with
     resultType string).
    :type message_server: any
    :param message_server_service: The service name or port number of the Message Server. Type:
     string (or Expression with resultType string).
    :type message_server_service: any
    :param logon_group: The Logon Group for the SAP System. Type: string (or Expression with
     resultType string).
    :type logon_group: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
        'system_number': {'required': True},
        'client_id': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'system_number': {'key': 'typeProperties.systemNumber', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'language': {'key': 'typeProperties.language', 'type': 'object'},
        'system_id': {'key': 'typeProperties.systemId', 'type': 'object'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'message_server': {'key': 'typeProperties.messageServer', 'type': 'object'},
        'message_server_service': {'key': 'typeProperties.messageServerService', 'type': 'object'},
        'logon_group': {'key': 'typeProperties.logonGroup', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        system_number: Any,
        client_id: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        language: Optional[Any] = None,
        system_id: Optional[Any] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        message_server: Optional[Any] = None,
        message_server_service: Optional[Any] = None,
        logon_group: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SapOpenHubLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SapOpenHub'  # type: str
        self.server = server
        self.system_number = system_number
        self.client_id = client_id
        self.language = language
        self.system_id = system_id
        self.user_name = user_name
        self.password = password
        self.message_server = message_server
        self.message_server_service = message_server_service
        self.logon_group = logon_group
        self.encrypted_credential = encrypted_credential


class SapOpenHubSource(TabularSource):
    """A copy activity source for SAP Business Warehouse Open Hub Destination source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param exclude_last_request: Whether to exclude the records of the last request. The default
     value is true. Type: boolean (or Expression with resultType boolean).
    :type exclude_last_request: any
    :param base_request_id: The ID of request for delta loading. Once it is set, only data with
     requestId larger than the value of this property will be retrieved. The default value is 0.
     Type: integer (or Expression with resultType integer ).
    :type base_request_id: any
    :param custom_rfc_read_table_function_module: Specifies the custom RFC function module that
     will be used to read data from SAP Table. Type: string (or Expression with resultType string).
    :type custom_rfc_read_table_function_module: any
    :param sap_data_column_delimiter: The single character that will be used as delimiter passed to
     SAP RFC as well as splitting the output data retrieved. Type: string (or Expression with
     resultType string).
    :type sap_data_column_delimiter: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'exclude_last_request': {'key': 'excludeLastRequest', 'type': 'object'},
        'base_request_id': {'key': 'baseRequestId', 'type': 'object'},
        'custom_rfc_read_table_function_module': {'key': 'customRfcReadTableFunctionModule', 'type': 'object'},
        'sap_data_column_delimiter': {'key': 'sapDataColumnDelimiter', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        exclude_last_request: Optional[Any] = None,
        base_request_id: Optional[Any] = None,
        custom_rfc_read_table_function_module: Optional[Any] = None,
        sap_data_column_delimiter: Optional[Any] = None,
        **kwargs
    ):
        super(SapOpenHubSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SapOpenHubSource'  # type: str
        self.exclude_last_request = exclude_last_request
        self.base_request_id = base_request_id
        self.custom_rfc_read_table_function_module = custom_rfc_read_table_function_module
        self.sap_data_column_delimiter = sap_data_column_delimiter


class SapOpenHubTableDataset(Dataset):
    """Sap Business Warehouse Open Hub Destination Table properties.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param open_hub_destination_name: Required. The name of the Open Hub Destination with
     destination type as Database Table. Type: string (or Expression with resultType string).
    :type open_hub_destination_name: any
    :param exclude_last_request: Whether to exclude the records of the last request. The default
     value is true. Type: boolean (or Expression with resultType boolean).
    :type exclude_last_request: any
    :param base_request_id: The ID of request for delta loading. Once it is set, only data with
     requestId larger than the value of this property will be retrieved. The default value is 0.
     Type: integer (or Expression with resultType integer ).
    :type base_request_id: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'open_hub_destination_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'open_hub_destination_name': {'key': 'typeProperties.openHubDestinationName', 'type': 'object'},
        'exclude_last_request': {'key': 'typeProperties.excludeLastRequest', 'type': 'object'},
        'base_request_id': {'key': 'typeProperties.baseRequestId', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        open_hub_destination_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        exclude_last_request: Optional[Any] = None,
        base_request_id: Optional[Any] = None,
        **kwargs
    ):
        super(SapOpenHubTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SapOpenHubTable'  # type: str
        self.open_hub_destination_name = open_hub_destination_name
        self.exclude_last_request = exclude_last_request
        self.base_request_id = base_request_id


class SapTableLinkedService(LinkedService):
    """SAP Table Linked Service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param server: Host name of the SAP instance where the table is located. Type: string (or
     Expression with resultType string).
    :type server: any
    :param system_number: System number of the SAP system where the table is located. (Usually a
     two-digit decimal number represented as a string.) Type: string (or Expression with resultType
     string).
    :type system_number: any
    :param client_id: Client ID of the client on the SAP system where the table is located.
     (Usually a three-digit decimal number represented as a string) Type: string (or Expression with
     resultType string).
    :type client_id: any
    :param language: Language of the SAP system where the table is located. The default value is
     EN. Type: string (or Expression with resultType string).
    :type language: any
    :param system_id: SystemID of the SAP system where the table is located. Type: string (or
     Expression with resultType string).
    :type system_id: any
    :param user_name: Username to access the SAP server where the table is located. Type: string
     (or Expression with resultType string).
    :type user_name: any
    :param password: Password to access the SAP server where the table is located.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param message_server: The hostname of the SAP Message Server. Type: string (or Expression with
     resultType string).
    :type message_server: any
    :param message_server_service: The service name or port number of the Message Server. Type:
     string (or Expression with resultType string).
    :type message_server_service: any
    :param snc_mode: SNC activation indicator to access the SAP server where the table is located.
     Must be either 0 (off) or 1 (on). Type: string (or Expression with resultType string).
    :type snc_mode: any
    :param snc_my_name: Initiator's SNC name to access the SAP server where the table is located.
     Type: string (or Expression with resultType string).
    :type snc_my_name: any
    :param snc_partner_name: Communication partner's SNC name to access the SAP server where the
     table is located. Type: string (or Expression with resultType string).
    :type snc_partner_name: any
    :param snc_library_path: External security product's library to access the SAP server where the
     table is located. Type: string (or Expression with resultType string).
    :type snc_library_path: any
    :param snc_qop: SNC Quality of Protection. Allowed value include: 1, 2, 3, 8, 9. Type: string
     (or Expression with resultType string).
    :type snc_qop: any
    :param logon_group: The Logon Group for the SAP System. Type: string (or Expression with
     resultType string).
    :type logon_group: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'system_number': {'key': 'typeProperties.systemNumber', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'language': {'key': 'typeProperties.language', 'type': 'object'},
        'system_id': {'key': 'typeProperties.systemId', 'type': 'object'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'message_server': {'key': 'typeProperties.messageServer', 'type': 'object'},
        'message_server_service': {'key': 'typeProperties.messageServerService', 'type': 'object'},
        'snc_mode': {'key': 'typeProperties.sncMode', 'type': 'object'},
        'snc_my_name': {'key': 'typeProperties.sncMyName', 'type': 'object'},
        'snc_partner_name': {'key': 'typeProperties.sncPartnerName', 'type': 'object'},
        'snc_library_path': {'key': 'typeProperties.sncLibraryPath', 'type': 'object'},
        'snc_qop': {'key': 'typeProperties.sncQop', 'type': 'object'},
        'logon_group': {'key': 'typeProperties.logonGroup', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        server: Optional[Any] = None,
        system_number: Optional[Any] = None,
        client_id: Optional[Any] = None,
        language: Optional[Any] = None,
        system_id: Optional[Any] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        message_server: Optional[Any] = None,
        message_server_service: Optional[Any] = None,
        snc_mode: Optional[Any] = None,
        snc_my_name: Optional[Any] = None,
        snc_partner_name: Optional[Any] = None,
        snc_library_path: Optional[Any] = None,
        snc_qop: Optional[Any] = None,
        logon_group: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SapTableLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SapTable'  # type: str
        self.server = server
        self.system_number = system_number
        self.client_id = client_id
        self.language = language
        self.system_id = system_id
        self.user_name = user_name
        self.password = password
        self.message_server = message_server
        self.message_server_service = message_server_service
        self.snc_mode = snc_mode
        self.snc_my_name = snc_my_name
        self.snc_partner_name = snc_partner_name
        self.snc_library_path = snc_library_path
        self.snc_qop = snc_qop
        self.logon_group = logon_group
        self.encrypted_credential = encrypted_credential


class SapTablePartitionSettings(msrest.serialization.Model):
    """The settings that will be leveraged for SAP table source partitioning.

    :param partition_column_name: The name of the column that will be used for proceeding range
     partitioning. Type: string (or Expression with resultType string).
    :type partition_column_name: any
    :param partition_upper_bound: The maximum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_upper_bound: any
    :param partition_lower_bound: The minimum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_lower_bound: any
    :param max_partitions_number: The maximum value of partitions the table will be split into.
     Type: integer (or Expression with resultType string).
    :type max_partitions_number: any
    """

    _attribute_map = {
        'partition_column_name': {'key': 'partitionColumnName', 'type': 'object'},
        'partition_upper_bound': {'key': 'partitionUpperBound', 'type': 'object'},
        'partition_lower_bound': {'key': 'partitionLowerBound', 'type': 'object'},
        'max_partitions_number': {'key': 'maxPartitionsNumber', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        partition_column_name: Optional[Any] = None,
        partition_upper_bound: Optional[Any] = None,
        partition_lower_bound: Optional[Any] = None,
        max_partitions_number: Optional[Any] = None,
        **kwargs
    ):
        super(SapTablePartitionSettings, self).__init__(**kwargs)
        self.partition_column_name = partition_column_name
        self.partition_upper_bound = partition_upper_bound
        self.partition_lower_bound = partition_lower_bound
        self.max_partitions_number = max_partitions_number


class SapTableResourceDataset(Dataset):
    """SAP Table Resource properties.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: Required. The name of the SAP Table. Type: string (or Expression with
     resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'table_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        table_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        **kwargs
    ):
        super(SapTableResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SapTableResource'  # type: str
        self.table_name = table_name


class SapTableSource(TabularSource):
    """A copy activity source for SAP Table source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param row_count: The number of rows to be retrieved. Type: integer(or Expression with
     resultType integer).
    :type row_count: any
    :param row_skips: The number of rows that will be skipped. Type: integer (or Expression with
     resultType integer).
    :type row_skips: any
    :param rfc_table_fields: The fields of the SAP table that will be retrieved. For example,
     column0, column1. Type: string (or Expression with resultType string).
    :type rfc_table_fields: any
    :param rfc_table_options: The options for the filtering of the SAP Table. For example, COLUMN0
     EQ SOME VALUE. Type: string (or Expression with resultType string).
    :type rfc_table_options: any
    :param batch_size: Specifies the maximum number of rows that will be retrieved at a time when
     retrieving data from SAP Table. Type: integer (or Expression with resultType integer).
    :type batch_size: any
    :param custom_rfc_read_table_function_module: Specifies the custom RFC function module that
     will be used to read data from SAP Table. Type: string (or Expression with resultType string).
    :type custom_rfc_read_table_function_module: any
    :param sap_data_column_delimiter: The single character that will be used as delimiter passed to
     SAP RFC as well as splitting the output data retrieved. Type: string (or Expression with
     resultType string).
    :type sap_data_column_delimiter: any
    :param partition_option: The partition mechanism that will be used for SAP table read in
     parallel. Possible values include: "None", "PartitionOnInt", "PartitionOnCalendarYear",
     "PartitionOnCalendarMonth", "PartitionOnCalendarDate", "PartitionOnTime".
    :type partition_option: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SapTablePartitionOption
    :param partition_settings: The settings that will be leveraged for SAP table source
     partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SapTablePartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'row_count': {'key': 'rowCount', 'type': 'object'},
        'row_skips': {'key': 'rowSkips', 'type': 'object'},
        'rfc_table_fields': {'key': 'rfcTableFields', 'type': 'object'},
        'rfc_table_options': {'key': 'rfcTableOptions', 'type': 'object'},
        'batch_size': {'key': 'batchSize', 'type': 'object'},
        'custom_rfc_read_table_function_module': {'key': 'customRfcReadTableFunctionModule', 'type': 'object'},
        'sap_data_column_delimiter': {'key': 'sapDataColumnDelimiter', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'str'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SapTablePartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        row_count: Optional[Any] = None,
        row_skips: Optional[Any] = None,
        rfc_table_fields: Optional[Any] = None,
        rfc_table_options: Optional[Any] = None,
        batch_size: Optional[Any] = None,
        custom_rfc_read_table_function_module: Optional[Any] = None,
        sap_data_column_delimiter: Optional[Any] = None,
        partition_option: Optional[Union[str, "SapTablePartitionOption"]] = None,
        partition_settings: Optional["SapTablePartitionSettings"] = None,
        **kwargs
    ):
        super(SapTableSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SapTableSource'  # type: str
        self.row_count = row_count
        self.row_skips = row_skips
        self.rfc_table_fields = rfc_table_fields
        self.rfc_table_options = rfc_table_options
        self.batch_size = batch_size
        self.custom_rfc_read_table_function_module = custom_rfc_read_table_function_module
        self.sap_data_column_delimiter = sap_data_column_delimiter
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class ScheduleTrigger(MultiplePipelineTrigger):
    """Trigger that creates pipeline runs periodically, on schedule.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipelines: Pipelines that need to be started.
    :type pipelines: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference]
    :param recurrence: Required. Recurrence schedule configuration.
    :type recurrence: ~azure.synapse.artifacts.v2020_12_01.models.ScheduleTriggerRecurrence
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'recurrence': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipelines': {'key': 'pipelines', 'type': '[TriggerPipelineReference]'},
        'recurrence': {'key': 'typeProperties.recurrence', 'type': 'ScheduleTriggerRecurrence'},
    }

    def __init__(
        self,
        *,
        recurrence: "ScheduleTriggerRecurrence",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        pipelines: Optional[List["TriggerPipelineReference"]] = None,
        **kwargs
    ):
        super(ScheduleTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, pipelines=pipelines, **kwargs)
        self.type = 'ScheduleTrigger'  # type: str
        self.recurrence = recurrence


class ScheduleTriggerRecurrence(msrest.serialization.Model):
    """The workflow trigger recurrence.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param frequency: The frequency. Possible values include: "NotSpecified", "Minute", "Hour",
     "Day", "Week", "Month", "Year".
    :type frequency: str or ~azure.synapse.artifacts.v2020_12_01.models.RecurrenceFrequency
    :param interval: The interval.
    :type interval: int
    :param start_time: The start time.
    :type start_time: ~datetime.datetime
    :param end_time: The end time.
    :type end_time: ~datetime.datetime
    :param time_zone: The time zone.
    :type time_zone: str
    :param schedule: The recurrence schedule.
    :type schedule: ~azure.synapse.artifacts.v2020_12_01.models.RecurrenceSchedule
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'frequency': {'key': 'frequency', 'type': 'str'},
        'interval': {'key': 'interval', 'type': 'int'},
        'start_time': {'key': 'startTime', 'type': 'iso-8601'},
        'end_time': {'key': 'endTime', 'type': 'iso-8601'},
        'time_zone': {'key': 'timeZone', 'type': 'str'},
        'schedule': {'key': 'schedule', 'type': 'RecurrenceSchedule'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        frequency: Optional[Union[str, "RecurrenceFrequency"]] = None,
        interval: Optional[int] = None,
        start_time: Optional[datetime.datetime] = None,
        end_time: Optional[datetime.datetime] = None,
        time_zone: Optional[str] = None,
        schedule: Optional["RecurrenceSchedule"] = None,
        **kwargs
    ):
        super(ScheduleTriggerRecurrence, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.frequency = frequency
        self.interval = interval
        self.start_time = start_time
        self.end_time = end_time
        self.time_zone = time_zone
        self.schedule = schedule


class ScriptAction(msrest.serialization.Model):
    """Custom script action to run on HDI ondemand cluster once it's up.

    All required parameters must be populated in order to send to Azure.

    :param name: Required. The user provided name of the script action.
    :type name: str
    :param uri: Required. The URI for the script action.
    :type uri: str
    :param roles: Required. The node types on which the script action should be executed. Possible
     values include: "Headnode", "Workernode", "Zookeeper".
    :type roles: str or ~azure.synapse.artifacts.v2020_12_01.models.HdiNodeTypes
    :param parameters: The parameters for the script action.
    :type parameters: str
    """

    _validation = {
        'name': {'required': True},
        'uri': {'required': True},
        'roles': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'uri': {'key': 'uri', 'type': 'str'},
        'roles': {'key': 'roles', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: str,
        uri: str,
        roles: Union[str, "HdiNodeTypes"],
        parameters: Optional[str] = None,
        **kwargs
    ):
        super(ScriptAction, self).__init__(**kwargs)
        self.name = name
        self.uri = uri
        self.roles = roles
        self.parameters = parameters


class SecureString(SecretBase):
    """Azure Synapse secure string definition. The string value will be masked with asterisks '*' during Get or List API calls.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Type of the secret.Constant filled by server.
    :type type: str
    :param value: Required. Value of secure string.
    :type value: str
    """

    _validation = {
        'type': {'required': True},
        'value': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'value': {'key': 'value', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: str,
        **kwargs
    ):
        super(SecureString, self).__init__(**kwargs)
        self.type = 'SecureString'  # type: str
        self.value = value


class SelfDependencyTumblingWindowTriggerReference(DependencyReference):
    """Self referenced tumbling window trigger dependency.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. The type of dependency reference.Constant filled by server.
    :type type: str
    :param offset: Required. Timespan applied to the start time of a tumbling window when
     evaluating dependency.
    :type offset: str
    :param size: The size of the window when evaluating the dependency. If undefined the frequency
     of the tumbling window will be used.
    :type size: str
    """

    _validation = {
        'type': {'required': True},
        'offset': {'required': True, 'max_length': 15, 'min_length': 8, 'pattern': r'-((\d+)\.)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9]))'},
        'size': {'max_length': 15, 'min_length': 8, 'pattern': r'((\d+)\.)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9]))'},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'offset': {'key': 'offset', 'type': 'str'},
        'size': {'key': 'size', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        offset: str,
        size: Optional[str] = None,
        **kwargs
    ):
        super(SelfDependencyTumblingWindowTriggerReference, self).__init__(**kwargs)
        self.type = 'SelfDependencyTumblingWindowTriggerReference'  # type: str
        self.offset = offset
        self.size = size


class SelfHostedIntegrationRuntime(IntegrationRuntime):
    """Self-hosted integration runtime.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of integration runtime.Constant filled by server.  Possible values
     include: "Managed", "SelfHosted".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeType
    :param description: Integration runtime description.
    :type description: str
    :param linked_info: Linked integration runtime type from data factory.
    :type linked_info: ~azure.synapse.artifacts.v2020_12_01.models.LinkedIntegrationRuntimeType
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'linked_info': {'key': 'typeProperties.linkedInfo', 'type': 'LinkedIntegrationRuntimeType'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        linked_info: Optional["LinkedIntegrationRuntimeType"] = None,
        **kwargs
    ):
        super(SelfHostedIntegrationRuntime, self).__init__(additional_properties=additional_properties, description=description, **kwargs)
        self.type = 'SelfHosted'  # type: str
        self.linked_info = linked_info


class ServiceNowLinkedService(LinkedService):
    """ServiceNow server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param endpoint: Required. The endpoint of the ServiceNow server. (i.e.
     :code:`<instance>`.service-now.com).
    :type endpoint: any
    :param authentication_type: Required. The authentication type to use. Possible values include:
     "Basic", "OAuth2".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.ServiceNowAuthenticationType
    :param username: The user name used to connect to the ServiceNow server for Basic and OAuth2
     authentication.
    :type username: any
    :param password: The password corresponding to the user name for Basic and OAuth2
     authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param client_id: The client id for OAuth2 authentication.
    :type client_id: any
    :param client_secret: The client secret for OAuth2 authentication.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        authentication_type: Union[str, "ServiceNowAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        client_id: Optional[Any] = None,
        client_secret: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ServiceNowLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'ServiceNow'  # type: str
        self.endpoint = endpoint
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.client_id = client_id
        self.client_secret = client_secret
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class ServiceNowObjectDataset(Dataset):
    """ServiceNow server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(ServiceNowObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ServiceNowObject'  # type: str
        self.table_name = table_name


class ServiceNowSource(TabularSource):
    """A copy activity ServiceNow server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(ServiceNowSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'ServiceNowSource'  # type: str
        self.query = query


class SetVariableActivity(ControlActivity):
    """Set value for a Variable.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param variable_name: Name of the variable whose value needs to be set.
    :type variable_name: str
    :param value: Value to be set. Could be a static value or Expression.
    :type value: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'variable_name': {'key': 'typeProperties.variableName', 'type': 'str'},
        'value': {'key': 'typeProperties.value', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        variable_name: Optional[str] = None,
        value: Optional[Any] = None,
        **kwargs
    ):
        super(SetVariableActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'SetVariable'  # type: str
        self.variable_name = variable_name
        self.value = value


class SftpLocation(DatasetLocation):
    """The location of SFTP dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage location.Constant filled by server.
    :type type: str
    :param folder_path: Specify the folder path of dataset. Type: string (or Expression with
     resultType string).
    :type folder_path: any
    :param file_name: Specify the file name of dataset. Type: string (or Expression with resultType
     string).
    :type file_name: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'folder_path': {'key': 'folderPath', 'type': 'object'},
        'file_name': {'key': 'fileName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        folder_path: Optional[Any] = None,
        file_name: Optional[Any] = None,
        **kwargs
    ):
        super(SftpLocation, self).__init__(additional_properties=additional_properties, folder_path=folder_path, file_name=file_name, **kwargs)
        self.type = 'SftpLocation'  # type: str


class SftpReadSettings(StoreReadSettings):
    """Sftp read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param recursive: If true, files under the folder path will be read recursively. Default is
     true. Type: boolean (or Expression with resultType boolean).
    :type recursive: any
    :param wildcard_folder_path: Sftp wildcardFolderPath. Type: string (or Expression with
     resultType string).
    :type wildcard_folder_path: any
    :param wildcard_file_name: Sftp wildcardFileName. Type: string (or Expression with resultType
     string).
    :type wildcard_file_name: any
    :param enable_partition_discovery: Indicates whether to enable partition discovery.
    :type enable_partition_discovery: bool
    :param partition_root_path: Specify the root path where partition discovery starts from. Type:
     string (or Expression with resultType string).
    :type partition_root_path: any
    :param file_list_path: Point to a text file that lists each file (relative path to the path
     configured in the dataset) that you want to copy. Type: string (or Expression with resultType
     string).
    :type file_list_path: any
    :param delete_files_after_completion: Indicates whether the source files need to be deleted
     after copy completion. Default is false. Type: boolean (or Expression with resultType boolean).
    :type delete_files_after_completion: any
    :param modified_datetime_start: The start of file's modified datetime. Type: string (or
     Expression with resultType string).
    :type modified_datetime_start: any
    :param modified_datetime_end: The end of file's modified datetime. Type: string (or Expression
     with resultType string).
    :type modified_datetime_end: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'recursive': {'key': 'recursive', 'type': 'object'},
        'wildcard_folder_path': {'key': 'wildcardFolderPath', 'type': 'object'},
        'wildcard_file_name': {'key': 'wildcardFileName', 'type': 'object'},
        'enable_partition_discovery': {'key': 'enablePartitionDiscovery', 'type': 'bool'},
        'partition_root_path': {'key': 'partitionRootPath', 'type': 'object'},
        'file_list_path': {'key': 'fileListPath', 'type': 'object'},
        'delete_files_after_completion': {'key': 'deleteFilesAfterCompletion', 'type': 'object'},
        'modified_datetime_start': {'key': 'modifiedDatetimeStart', 'type': 'object'},
        'modified_datetime_end': {'key': 'modifiedDatetimeEnd', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        recursive: Optional[Any] = None,
        wildcard_folder_path: Optional[Any] = None,
        wildcard_file_name: Optional[Any] = None,
        enable_partition_discovery: Optional[bool] = None,
        partition_root_path: Optional[Any] = None,
        file_list_path: Optional[Any] = None,
        delete_files_after_completion: Optional[Any] = None,
        modified_datetime_start: Optional[Any] = None,
        modified_datetime_end: Optional[Any] = None,
        **kwargs
    ):
        super(SftpReadSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SftpReadSettings'  # type: str
        self.recursive = recursive
        self.wildcard_folder_path = wildcard_folder_path
        self.wildcard_file_name = wildcard_file_name
        self.enable_partition_discovery = enable_partition_discovery
        self.partition_root_path = partition_root_path
        self.file_list_path = file_list_path
        self.delete_files_after_completion = delete_files_after_completion
        self.modified_datetime_start = modified_datetime_start
        self.modified_datetime_end = modified_datetime_end


class SftpServerLinkedService(LinkedService):
    """A linked service for an SSH File Transfer Protocol (SFTP) server.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The SFTP server host name. Type: string (or Expression with resultType
     string).
    :type host: any
    :param port: The TCP port number that the SFTP server uses to listen for client connections.
     Default value is 22. Type: integer (or Expression with resultType integer), minimum: 0.
    :type port: any
    :param authentication_type: The authentication type to be used to connect to the FTP server.
     Possible values include: "Basic", "SshPublicKey".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SftpAuthenticationType
    :param user_name: The username used to log on to the SFTP server. Type: string (or Expression
     with resultType string).
    :type user_name: any
    :param password: Password to logon the SFTP server for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    :param private_key_path: The SSH private key file path for SshPublicKey authentication. Only
     valid for on-premises copy. For on-premises copy with SshPublicKey authentication, either
     PrivateKeyPath or PrivateKeyContent should be specified. SSH private key should be OpenSSH
     format. Type: string (or Expression with resultType string).
    :type private_key_path: any
    :param private_key_content: Base64 encoded SSH private key content for SshPublicKey
     authentication. For on-premises copy with SshPublicKey authentication, either PrivateKeyPath or
     PrivateKeyContent should be specified. SSH private key should be OpenSSH format.
    :type private_key_content: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param pass_phrase: The password to decrypt the SSH private key if the SSH private key is
     encrypted.
    :type pass_phrase: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param skip_host_key_validation: If true, skip the SSH host key validation. Default value is
     false. Type: boolean (or Expression with resultType boolean).
    :type skip_host_key_validation: any
    :param host_key_fingerprint: The host key finger-print of the SFTP server. When
     SkipHostKeyValidation is false, HostKeyFingerprint should be specified. Type: string (or
     Expression with resultType string).
    :type host_key_fingerprint: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
        'private_key_path': {'key': 'typeProperties.privateKeyPath', 'type': 'object'},
        'private_key_content': {'key': 'typeProperties.privateKeyContent', 'type': 'SecretBase'},
        'pass_phrase': {'key': 'typeProperties.passPhrase', 'type': 'SecretBase'},
        'skip_host_key_validation': {'key': 'typeProperties.skipHostKeyValidation', 'type': 'object'},
        'host_key_fingerprint': {'key': 'typeProperties.hostKeyFingerprint', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        port: Optional[Any] = None,
        authentication_type: Optional[Union[str, "SftpAuthenticationType"]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        private_key_path: Optional[Any] = None,
        private_key_content: Optional["SecretBase"] = None,
        pass_phrase: Optional["SecretBase"] = None,
        skip_host_key_validation: Optional[Any] = None,
        host_key_fingerprint: Optional[Any] = None,
        **kwargs
    ):
        super(SftpServerLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Sftp'  # type: str
        self.host = host
        self.port = port
        self.authentication_type = authentication_type
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential
        self.private_key_path = private_key_path
        self.private_key_content = private_key_content
        self.pass_phrase = pass_phrase
        self.skip_host_key_validation = skip_host_key_validation
        self.host_key_fingerprint = host_key_fingerprint


class SftpWriteSettings(StoreWriteSettings):
    """Sftp write settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The write setting type.Constant filled by server.
    :type type: str
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param copy_behavior: The type of copy behavior for copy sink.
    :type copy_behavior: any
    :param operation_timeout: Specifies the timeout for writing each chunk to SFTP server. Default
     value: 01:00:00 (one hour). Type: string (or Expression with resultType string).
    :type operation_timeout: any
    :param use_temp_file_rename: Upload to temporary file(s) and rename. Disable this option if
     your SFTP server doesn't support rename operation. Type: boolean (or Expression with resultType
     boolean).
    :type use_temp_file_rename: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'copy_behavior': {'key': 'copyBehavior', 'type': 'object'},
        'operation_timeout': {'key': 'operationTimeout', 'type': 'object'},
        'use_temp_file_rename': {'key': 'useTempFileRename', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        max_concurrent_connections: Optional[Any] = None,
        copy_behavior: Optional[Any] = None,
        operation_timeout: Optional[Any] = None,
        use_temp_file_rename: Optional[Any] = None,
        **kwargs
    ):
        super(SftpWriteSettings, self).__init__(additional_properties=additional_properties, max_concurrent_connections=max_concurrent_connections, copy_behavior=copy_behavior, **kwargs)
        self.type = 'SftpWriteSettings'  # type: str
        self.operation_timeout = operation_timeout
        self.use_temp_file_rename = use_temp_file_rename


class SharePointOnlineListLinkedService(LinkedService):
    """SharePoint Online List linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param site_url: Required. The URL of the SharePoint Online site. For example,
     https://contoso.sharepoint.com/sites/siteName. Type: string (or Expression with resultType
     string).
    :type site_url: any
    :param tenant_id: Required. The tenant ID under which your application resides. You can find it
     from Azure portal Active Directory overview page. Type: string (or Expression with resultType
     string).
    :type tenant_id: any
    :param service_principal_id: Required. The application (client) ID of your application
     registered in Azure Active Directory. Make sure to grant SharePoint site permission to this
     application. Type: string (or Expression with resultType string).
    :type service_principal_id: any
    :param service_principal_key: Required. The client secret of your application registered in
     Azure Active Directory. Type: string (or Expression with resultType string).
    :type service_principal_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'site_url': {'required': True},
        'tenant_id': {'required': True},
        'service_principal_id': {'required': True},
        'service_principal_key': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'site_url': {'key': 'typeProperties.siteUrl', 'type': 'object'},
        'tenant_id': {'key': 'typeProperties.tenantId', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        site_url: Any,
        tenant_id: Any,
        service_principal_id: Any,
        service_principal_key: "SecretBase",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SharePointOnlineListLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SharePointOnlineList'  # type: str
        self.site_url = site_url
        self.tenant_id = tenant_id
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.encrypted_credential = encrypted_credential


class SharePointOnlineListResourceDataset(Dataset):
    """The sharepoint online list resource dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param list_name: The name of the SharePoint Online list. Type: string (or Expression with
     resultType string).
    :type list_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'list_name': {'key': 'typeProperties.listName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        list_name: Optional[Any] = None,
        **kwargs
    ):
        super(SharePointOnlineListResourceDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SharePointOnlineListResource'  # type: str
        self.list_name = list_name


class SharePointOnlineListSource(CopySource):
    """A copy activity source for sharePoint online list source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: The OData query to filter the data in SharePoint Online list. For example,
     "$top=1". Type: string (or Expression with resultType string).
    :type query: any
    :param http_request_timeout: The wait time to get a response from SharePoint Online. Default
     value is 5 minutes (00:05:00). Type: string (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type http_request_timeout: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'http_request_timeout': {'key': 'httpRequestTimeout', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        http_request_timeout: Optional[Any] = None,
        **kwargs
    ):
        super(SharePointOnlineListSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SharePointOnlineListSource'  # type: str
        self.query = query
        self.http_request_timeout = http_request_timeout


class ShopifyLinkedService(LinkedService):
    """Shopify Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. The endpoint of the Shopify server. (i.e. mystore.myshopify.com).
    :type host: any
    :param access_token: The API access token that can be used to access Shopify’s data. The token
     won't expire if it is offline mode.
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        access_token: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ShopifyLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Shopify'  # type: str
        self.host = host
        self.access_token = access_token
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class ShopifyObjectDataset(Dataset):
    """Shopify Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(ShopifyObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ShopifyObject'  # type: str
        self.table_name = table_name


class ShopifySource(TabularSource):
    """A copy activity Shopify Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(ShopifySource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'ShopifySource'  # type: str
        self.query = query


class SkipErrorFile(msrest.serialization.Model):
    """Skip error file.

    :param file_missing: Skip if file is deleted by other client during copy. Default is true.
     Type: boolean (or Expression with resultType boolean).
    :type file_missing: any
    :param data_inconsistency: Skip if source/sink file changed by other concurrent write. Default
     is false. Type: boolean (or Expression with resultType boolean).
    :type data_inconsistency: any
    """

    _attribute_map = {
        'file_missing': {'key': 'fileMissing', 'type': 'object'},
        'data_inconsistency': {'key': 'dataInconsistency', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        file_missing: Optional[Any] = None,
        data_inconsistency: Optional[Any] = None,
        **kwargs
    ):
        super(SkipErrorFile, self).__init__(**kwargs)
        self.file_missing = file_missing
        self.data_inconsistency = data_inconsistency


class Sku(msrest.serialization.Model):
    """SQL pool SKU.

    :param tier: The service tier.
    :type tier: str
    :param name: The SKU name.
    :type name: str
    :param capacity: If the SKU supports scale out/in then the capacity integer should be included.
     If scale out/in is not possible for the resource this may be omitted.
    :type capacity: int
    """

    _attribute_map = {
        'tier': {'key': 'tier', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'capacity': {'key': 'capacity', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        tier: Optional[str] = None,
        name: Optional[str] = None,
        capacity: Optional[int] = None,
        **kwargs
    ):
        super(Sku, self).__init__(**kwargs)
        self.tier = tier
        self.name = name
        self.capacity = capacity


class SnowflakeDataset(Dataset):
    """The snowflake dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param schema_type_properties_schema: The schema name of the Snowflake database. Type: string
     (or Expression with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of the Snowflake database. Type: string (or Expression with
     resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(SnowflakeDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SnowflakeTable'  # type: str
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class SnowflakeExportCopyCommand(ExportSettings):
    """Snowflake export command settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The export setting type.Constant filled by server.
    :type type: str
    :param additional_copy_options: Additional copy options directly passed to snowflake Copy
     Command. Type: key value pairs (value should be string type) (or Expression with resultType
     object). Example: "additionalCopyOptions": { "DATE_FORMAT": "MM/DD/YYYY", "TIME_FORMAT":
     "'HH24:MI:SS.FF'" }.
    :type additional_copy_options: dict[str, any]
    :param additional_format_options: Additional format options directly passed to snowflake Copy
     Command. Type: key value pairs (value should be string type) (or Expression with resultType
     object). Example: "additionalFormatOptions": { "OVERWRITE": "TRUE", "MAX_FILE_SIZE": "'FALSE'"
     }.
    :type additional_format_options: dict[str, any]
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'additional_copy_options': {'key': 'additionalCopyOptions', 'type': '{object}'},
        'additional_format_options': {'key': 'additionalFormatOptions', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        additional_copy_options: Optional[Dict[str, Any]] = None,
        additional_format_options: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(SnowflakeExportCopyCommand, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'SnowflakeExportCopyCommand'  # type: str
        self.additional_copy_options = additional_copy_options
        self.additional_format_options = additional_format_options


class SnowflakeImportCopyCommand(ImportSettings):
    """Snowflake import command settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The import setting type.Constant filled by server.
    :type type: str
    :param additional_copy_options: Additional copy options directly passed to snowflake Copy
     Command. Type: key value pairs (value should be string type) (or Expression with resultType
     object). Example: "additionalCopyOptions": { "DATE_FORMAT": "MM/DD/YYYY", "TIME_FORMAT":
     "'HH24:MI:SS.FF'" }.
    :type additional_copy_options: dict[str, any]
    :param additional_format_options: Additional format options directly passed to snowflake Copy
     Command. Type: key value pairs (value should be string type) (or Expression with resultType
     object). Example: "additionalFormatOptions": { "FORCE": "TRUE", "LOAD_UNCERTAIN_FILES":
     "'FALSE'" }.
    :type additional_format_options: dict[str, any]
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'additional_copy_options': {'key': 'additionalCopyOptions', 'type': '{object}'},
        'additional_format_options': {'key': 'additionalFormatOptions', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        additional_copy_options: Optional[Dict[str, Any]] = None,
        additional_format_options: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(SnowflakeImportCopyCommand, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'SnowflakeImportCopyCommand'  # type: str
        self.additional_copy_options = additional_copy_options
        self.additional_format_options = additional_format_options


class SnowflakeLinkedService(LinkedService):
    """Snowflake linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string of snowflake. Type: string,
     SecureString.
    :type connection_string: any
    :param password: The Azure key vault secret reference of password in connection string.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        password: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SnowflakeLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Snowflake'  # type: str
        self.connection_string = connection_string
        self.password = password
        self.encrypted_credential = encrypted_credential


class SnowflakeSink(CopySink):
    """A copy activity snowflake sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param import_settings: Snowflake import settings.
    :type import_settings: ~azure.synapse.artifacts.v2020_12_01.models.SnowflakeImportCopyCommand
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'import_settings': {'key': 'importSettings', 'type': 'SnowflakeImportCopyCommand'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        import_settings: Optional["SnowflakeImportCopyCommand"] = None,
        **kwargs
    ):
        super(SnowflakeSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SnowflakeSink'  # type: str
        self.pre_copy_script = pre_copy_script
        self.import_settings = import_settings


class SnowflakeSource(CopySource):
    """A copy activity snowflake source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query: Snowflake Sql query. Type: string (or Expression with resultType string).
    :type query: any
    :param export_settings: Snowflake export settings.
    :type export_settings: ~azure.synapse.artifacts.v2020_12_01.models.SnowflakeExportCopyCommand
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'export_settings': {'key': 'exportSettings', 'type': 'SnowflakeExportCopyCommand'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query: Optional[Any] = None,
        export_settings: Optional["SnowflakeExportCopyCommand"] = None,
        **kwargs
    ):
        super(SnowflakeSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SnowflakeSource'  # type: str
        self.query = query
        self.export_settings = export_settings


class SparkBatchJob(msrest.serialization.Model):
    """SparkBatchJob.

    All required parameters must be populated in order to send to Azure.

    :param livy_info:
    :type livy_info: ~azure.synapse.artifacts.v2020_12_01.models.SparkBatchJobState
    :param name: The batch name.
    :type name: str
    :param workspace_name: The workspace name.
    :type workspace_name: str
    :param spark_pool_name: The Spark pool name.
    :type spark_pool_name: str
    :param submitter_name: The submitter name.
    :type submitter_name: str
    :param submitter_id: The submitter identifier.
    :type submitter_id: str
    :param artifact_id: The artifact identifier.
    :type artifact_id: str
    :param job_type: The job type. Possible values include: "SparkBatch", "SparkSession".
    :type job_type: str or ~azure.synapse.artifacts.v2020_12_01.models.SparkJobType
    :param result: The Spark batch job result. Possible values include: "Uncertain", "Succeeded",
     "Failed", "Cancelled".
    :type result: str or ~azure.synapse.artifacts.v2020_12_01.models.SparkBatchJobResultType
    :param scheduler: The scheduler information.
    :type scheduler: ~azure.synapse.artifacts.v2020_12_01.models.SparkScheduler
    :param plugin: The plugin information.
    :type plugin: ~azure.synapse.artifacts.v2020_12_01.models.SparkServicePlugin
    :param errors: The error information.
    :type errors: list[~azure.synapse.artifacts.v2020_12_01.models.SparkServiceError]
    :param tags: A set of tags. The tags.
    :type tags: dict[str, str]
    :param id: Required. The session Id.
    :type id: int
    :param app_id: The application id of this session.
    :type app_id: str
    :param app_info: The detailed application info.
    :type app_info: dict[str, str]
    :param state: The batch state.
    :type state: str
    :param log_lines: The log lines.
    :type log_lines: list[str]
    """

    _validation = {
        'id': {'required': True},
    }

    _attribute_map = {
        'livy_info': {'key': 'livyInfo', 'type': 'SparkBatchJobState'},
        'name': {'key': 'name', 'type': 'str'},
        'workspace_name': {'key': 'workspaceName', 'type': 'str'},
        'spark_pool_name': {'key': 'sparkPoolName', 'type': 'str'},
        'submitter_name': {'key': 'submitterName', 'type': 'str'},
        'submitter_id': {'key': 'submitterId', 'type': 'str'},
        'artifact_id': {'key': 'artifactId', 'type': 'str'},
        'job_type': {'key': 'jobType', 'type': 'str'},
        'result': {'key': 'result', 'type': 'str'},
        'scheduler': {'key': 'schedulerInfo', 'type': 'SparkScheduler'},
        'plugin': {'key': 'pluginInfo', 'type': 'SparkServicePlugin'},
        'errors': {'key': 'errorInfo', 'type': '[SparkServiceError]'},
        'tags': {'key': 'tags', 'type': '{str}'},
        'id': {'key': 'id', 'type': 'int'},
        'app_id': {'key': 'appId', 'type': 'str'},
        'app_info': {'key': 'appInfo', 'type': '{str}'},
        'state': {'key': 'state', 'type': 'str'},
        'log_lines': {'key': 'log', 'type': '[str]'},
    }

    def __init__(
        self,
        *,
        id: int,
        livy_info: Optional["SparkBatchJobState"] = None,
        name: Optional[str] = None,
        workspace_name: Optional[str] = None,
        spark_pool_name: Optional[str] = None,
        submitter_name: Optional[str] = None,
        submitter_id: Optional[str] = None,
        artifact_id: Optional[str] = None,
        job_type: Optional[Union[str, "SparkJobType"]] = None,
        result: Optional[Union[str, "SparkBatchJobResultType"]] = None,
        scheduler: Optional["SparkScheduler"] = None,
        plugin: Optional["SparkServicePlugin"] = None,
        errors: Optional[List["SparkServiceError"]] = None,
        tags: Optional[Dict[str, str]] = None,
        app_id: Optional[str] = None,
        app_info: Optional[Dict[str, str]] = None,
        state: Optional[str] = None,
        log_lines: Optional[List[str]] = None,
        **kwargs
    ):
        super(SparkBatchJob, self).__init__(**kwargs)
        self.livy_info = livy_info
        self.name = name
        self.workspace_name = workspace_name
        self.spark_pool_name = spark_pool_name
        self.submitter_name = submitter_name
        self.submitter_id = submitter_id
        self.artifact_id = artifact_id
        self.job_type = job_type
        self.result = result
        self.scheduler = scheduler
        self.plugin = plugin
        self.errors = errors
        self.tags = tags
        self.id = id
        self.app_id = app_id
        self.app_info = app_info
        self.state = state
        self.log_lines = log_lines


class SparkBatchJobState(msrest.serialization.Model):
    """SparkBatchJobState.

    :param not_started_at: the time that at which "not_started" livy state was first seen.
    :type not_started_at: ~datetime.datetime
    :param starting_at: the time that at which "starting" livy state was first seen.
    :type starting_at: ~datetime.datetime
    :param running_at: the time that at which "running" livy state was first seen.
    :type running_at: ~datetime.datetime
    :param dead_at: time that at which "dead" livy state was first seen.
    :type dead_at: ~datetime.datetime
    :param success_at: the time that at which "success" livy state was first seen.
    :type success_at: ~datetime.datetime
    :param terminated_at: the time that at which "killed" livy state was first seen.
    :type terminated_at: ~datetime.datetime
    :param recovering_at: the time that at which "recovering" livy state was first seen.
    :type recovering_at: ~datetime.datetime
    :param current_state: the Spark job state.
    :type current_state: str
    :param job_creation_request:
    :type job_creation_request: ~azure.synapse.artifacts.v2020_12_01.models.SparkRequest
    """

    _attribute_map = {
        'not_started_at': {'key': 'notStartedAt', 'type': 'iso-8601'},
        'starting_at': {'key': 'startingAt', 'type': 'iso-8601'},
        'running_at': {'key': 'runningAt', 'type': 'iso-8601'},
        'dead_at': {'key': 'deadAt', 'type': 'iso-8601'},
        'success_at': {'key': 'successAt', 'type': 'iso-8601'},
        'terminated_at': {'key': 'killedAt', 'type': 'iso-8601'},
        'recovering_at': {'key': 'recoveringAt', 'type': 'iso-8601'},
        'current_state': {'key': 'currentState', 'type': 'str'},
        'job_creation_request': {'key': 'jobCreationRequest', 'type': 'SparkRequest'},
    }

    def __init__(
        self,
        *,
        not_started_at: Optional[datetime.datetime] = None,
        starting_at: Optional[datetime.datetime] = None,
        running_at: Optional[datetime.datetime] = None,
        dead_at: Optional[datetime.datetime] = None,
        success_at: Optional[datetime.datetime] = None,
        terminated_at: Optional[datetime.datetime] = None,
        recovering_at: Optional[datetime.datetime] = None,
        current_state: Optional[str] = None,
        job_creation_request: Optional["SparkRequest"] = None,
        **kwargs
    ):
        super(SparkBatchJobState, self).__init__(**kwargs)
        self.not_started_at = not_started_at
        self.starting_at = starting_at
        self.running_at = running_at
        self.dead_at = dead_at
        self.success_at = success_at
        self.terminated_at = terminated_at
        self.recovering_at = recovering_at
        self.current_state = current_state
        self.job_creation_request = job_creation_request


class SparkJobDefinition(msrest.serialization.Model):
    """Spark job definition.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param description: The description of the Spark job definition.
    :type description: str
    :param target_big_data_pool: Required. Big data pool reference.
    :type target_big_data_pool: ~azure.synapse.artifacts.v2020_12_01.models.BigDataPoolReference
    :param required_spark_version: The required Spark version of the application.
    :type required_spark_version: str
    :param language: The language of the Spark application.
    :type language: str
    :param job_properties: Required. The properties of the Spark job.
    :type job_properties: ~azure.synapse.artifacts.v2020_12_01.models.SparkJobProperties
    """

    _validation = {
        'target_big_data_pool': {'required': True},
        'job_properties': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'description': {'key': 'description', 'type': 'str'},
        'target_big_data_pool': {'key': 'targetBigDataPool', 'type': 'BigDataPoolReference'},
        'required_spark_version': {'key': 'requiredSparkVersion', 'type': 'str'},
        'language': {'key': 'language', 'type': 'str'},
        'job_properties': {'key': 'jobProperties', 'type': 'SparkJobProperties'},
    }

    def __init__(
        self,
        *,
        target_big_data_pool: "BigDataPoolReference",
        job_properties: "SparkJobProperties",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        required_spark_version: Optional[str] = None,
        language: Optional[str] = None,
        **kwargs
    ):
        super(SparkJobDefinition, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.description = description
        self.target_big_data_pool = target_big_data_pool
        self.required_spark_version = required_spark_version
        self.language = language
        self.job_properties = job_properties


class SparkJobDefinitionResource(SubResource):
    """Spark job definition resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Properties of spark job definition.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.SparkJobDefinition
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'SparkJobDefinition'},
    }

    def __init__(
        self,
        *,
        properties: "SparkJobDefinition",
        **kwargs
    ):
        super(SparkJobDefinitionResource, self).__init__(**kwargs)
        self.properties = properties


class SparkJobDefinitionsListResponse(msrest.serialization.Model):
    """A list of spark job definitions resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of spark job definitions.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.SparkJobDefinitionResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[SparkJobDefinitionResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["SparkJobDefinitionResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(SparkJobDefinitionsListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class SparkJobProperties(msrest.serialization.Model):
    """The properties of the Spark job.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: The name of the job.
    :type name: str
    :param file: Required. File containing the application to execute.
    :type file: str
    :param class_name: Main class for Java/Scala application.
    :type class_name: str
    :param conf: Spark configuration properties.
    :type conf: any
    :param args: Command line arguments for the application.
    :type args: list[str]
    :param jars: Jars to be used in this job.
    :type jars: list[str]
    :param files: files to be used in this job.
    :type files: list[str]
    :param archives: Archives to be used in this job.
    :type archives: list[str]
    :param driver_memory: Required. Amount of memory to use for the driver process.
    :type driver_memory: str
    :param driver_cores: Required. Number of cores to use for the driver.
    :type driver_cores: int
    :param executor_memory: Required. Amount of memory to use per executor process.
    :type executor_memory: str
    :param executor_cores: Required. Number of cores to use for each executor.
    :type executor_cores: int
    :param num_executors: Required. Number of executors to launch for this job.
    :type num_executors: int
    """

    _validation = {
        'file': {'required': True},
        'driver_memory': {'required': True},
        'driver_cores': {'required': True},
        'executor_memory': {'required': True},
        'executor_cores': {'required': True},
        'num_executors': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'file': {'key': 'file', 'type': 'str'},
        'class_name': {'key': 'className', 'type': 'str'},
        'conf': {'key': 'conf', 'type': 'object'},
        'args': {'key': 'args', 'type': '[str]'},
        'jars': {'key': 'jars', 'type': '[str]'},
        'files': {'key': 'files', 'type': '[str]'},
        'archives': {'key': 'archives', 'type': '[str]'},
        'driver_memory': {'key': 'driverMemory', 'type': 'str'},
        'driver_cores': {'key': 'driverCores', 'type': 'int'},
        'executor_memory': {'key': 'executorMemory', 'type': 'str'},
        'executor_cores': {'key': 'executorCores', 'type': 'int'},
        'num_executors': {'key': 'numExecutors', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        file: str,
        driver_memory: str,
        driver_cores: int,
        executor_memory: str,
        executor_cores: int,
        num_executors: int,
        additional_properties: Optional[Dict[str, Any]] = None,
        name: Optional[str] = None,
        class_name: Optional[str] = None,
        conf: Optional[Any] = None,
        args: Optional[List[str]] = None,
        jars: Optional[List[str]] = None,
        files: Optional[List[str]] = None,
        archives: Optional[List[str]] = None,
        **kwargs
    ):
        super(SparkJobProperties, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.name = name
        self.file = file
        self.class_name = class_name
        self.conf = conf
        self.args = args
        self.jars = jars
        self.files = files
        self.archives = archives
        self.driver_memory = driver_memory
        self.driver_cores = driver_cores
        self.executor_memory = executor_memory
        self.executor_cores = executor_cores
        self.num_executors = num_executors


class SparkLinkedService(LinkedService):
    """Spark Server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param host: Required. IP address or host name of the Spark server.
    :type host: any
    :param port: Required. The TCP port that the Spark server uses to listen for client
     connections.
    :type port: any
    :param server_type: The type of Spark server. Possible values include: "SharkServer",
     "SharkServer2", "SparkThriftServer".
    :type server_type: str or ~azure.synapse.artifacts.v2020_12_01.models.SparkServerType
    :param thrift_transport_protocol: The transport protocol to use in the Thrift layer. Possible
     values include: "Binary", "SASL", "HTTP ".
    :type thrift_transport_protocol: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SparkThriftTransportProtocol
    :param authentication_type: Required. The authentication method used to access the Spark
     server. Possible values include: "Anonymous", "Username", "UsernameAndPassword",
     "WindowsAzureHDInsightService".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SparkAuthenticationType
    :param username: The user name that you use to access Spark Server.
    :type username: any
    :param password: The password corresponding to the user name that you provided in the Username
     field.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param http_path: The partial URL corresponding to the Spark server.
    :type http_path: any
    :param enable_ssl: Specifies whether the connections to the server are encrypted using SSL. The
     default value is false.
    :type enable_ssl: any
    :param trusted_cert_path: The full path of the .pem file containing trusted CA certificates for
     verifying the server when connecting over SSL. This property can only be set when using SSL on
     self-hosted IR. The default value is the cacerts.pem file installed with the IR.
    :type trusted_cert_path: any
    :param use_system_trust_store: Specifies whether to use a CA certificate from the system trust
     store or from a specified PEM file. The default value is false.
    :type use_system_trust_store: any
    :param allow_host_name_cn_mismatch: Specifies whether to require a CA-issued SSL certificate
     name to match the host name of the server when connecting over SSL. The default value is false.
    :type allow_host_name_cn_mismatch: any
    :param allow_self_signed_server_cert: Specifies whether to allow self-signed certificates from
     the server. The default value is false.
    :type allow_self_signed_server_cert: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'port': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'port': {'key': 'typeProperties.port', 'type': 'object'},
        'server_type': {'key': 'typeProperties.serverType', 'type': 'str'},
        'thrift_transport_protocol': {'key': 'typeProperties.thriftTransportProtocol', 'type': 'str'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'http_path': {'key': 'typeProperties.httpPath', 'type': 'object'},
        'enable_ssl': {'key': 'typeProperties.enableSsl', 'type': 'object'},
        'trusted_cert_path': {'key': 'typeProperties.trustedCertPath', 'type': 'object'},
        'use_system_trust_store': {'key': 'typeProperties.useSystemTrustStore', 'type': 'object'},
        'allow_host_name_cn_mismatch': {'key': 'typeProperties.allowHostNameCNMismatch', 'type': 'object'},
        'allow_self_signed_server_cert': {'key': 'typeProperties.allowSelfSignedServerCert', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        port: Any,
        authentication_type: Union[str, "SparkAuthenticationType"],
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        server_type: Optional[Union[str, "SparkServerType"]] = None,
        thrift_transport_protocol: Optional[Union[str, "SparkThriftTransportProtocol"]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        http_path: Optional[Any] = None,
        enable_ssl: Optional[Any] = None,
        trusted_cert_path: Optional[Any] = None,
        use_system_trust_store: Optional[Any] = None,
        allow_host_name_cn_mismatch: Optional[Any] = None,
        allow_self_signed_server_cert: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SparkLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Spark'  # type: str
        self.host = host
        self.port = port
        self.server_type = server_type
        self.thrift_transport_protocol = thrift_transport_protocol
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.http_path = http_path
        self.enable_ssl = enable_ssl
        self.trusted_cert_path = trusted_cert_path
        self.use_system_trust_store = use_system_trust_store
        self.allow_host_name_cn_mismatch = allow_host_name_cn_mismatch
        self.allow_self_signed_server_cert = allow_self_signed_server_cert
        self.encrypted_credential = encrypted_credential


class SparkObjectDataset(Dataset):
    """Spark Server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Spark. Type: string (or Expression with resultType string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Spark. Type: string (or Expression
     with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(SparkObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SparkObject'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class SparkRequest(msrest.serialization.Model):
    """SparkRequest.

    :param name:
    :type name: str
    :param file:
    :type file: str
    :param class_name:
    :type class_name: str
    :param arguments:
    :type arguments: list[str]
    :param jars:
    :type jars: list[str]
    :param python_files:
    :type python_files: list[str]
    :param files:
    :type files: list[str]
    :param archives:
    :type archives: list[str]
    :param configuration: Dictionary of :code:`<string>`.
    :type configuration: dict[str, str]
    :param driver_memory:
    :type driver_memory: str
    :param driver_cores:
    :type driver_cores: int
    :param executor_memory:
    :type executor_memory: str
    :param executor_cores:
    :type executor_cores: int
    :param executor_count:
    :type executor_count: int
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'file': {'key': 'file', 'type': 'str'},
        'class_name': {'key': 'className', 'type': 'str'},
        'arguments': {'key': 'args', 'type': '[str]'},
        'jars': {'key': 'jars', 'type': '[str]'},
        'python_files': {'key': 'pyFiles', 'type': '[str]'},
        'files': {'key': 'files', 'type': '[str]'},
        'archives': {'key': 'archives', 'type': '[str]'},
        'configuration': {'key': 'conf', 'type': '{str}'},
        'driver_memory': {'key': 'driverMemory', 'type': 'str'},
        'driver_cores': {'key': 'driverCores', 'type': 'int'},
        'executor_memory': {'key': 'executorMemory', 'type': 'str'},
        'executor_cores': {'key': 'executorCores', 'type': 'int'},
        'executor_count': {'key': 'numExecutors', 'type': 'int'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        file: Optional[str] = None,
        class_name: Optional[str] = None,
        arguments: Optional[List[str]] = None,
        jars: Optional[List[str]] = None,
        python_files: Optional[List[str]] = None,
        files: Optional[List[str]] = None,
        archives: Optional[List[str]] = None,
        configuration: Optional[Dict[str, str]] = None,
        driver_memory: Optional[str] = None,
        driver_cores: Optional[int] = None,
        executor_memory: Optional[str] = None,
        executor_cores: Optional[int] = None,
        executor_count: Optional[int] = None,
        **kwargs
    ):
        super(SparkRequest, self).__init__(**kwargs)
        self.name = name
        self.file = file
        self.class_name = class_name
        self.arguments = arguments
        self.jars = jars
        self.python_files = python_files
        self.files = files
        self.archives = archives
        self.configuration = configuration
        self.driver_memory = driver_memory
        self.driver_cores = driver_cores
        self.executor_memory = executor_memory
        self.executor_cores = executor_cores
        self.executor_count = executor_count


class SparkScheduler(msrest.serialization.Model):
    """SparkScheduler.

    :param submitted_at:
    :type submitted_at: ~datetime.datetime
    :param scheduled_at:
    :type scheduled_at: ~datetime.datetime
    :param ended_at:
    :type ended_at: ~datetime.datetime
    :param cancellation_requested_at:
    :type cancellation_requested_at: ~datetime.datetime
    :param current_state:  Possible values include: "Queued", "Scheduled", "Ended".
    :type current_state: str or ~azure.synapse.artifacts.v2020_12_01.models.SchedulerCurrentState
    """

    _attribute_map = {
        'submitted_at': {'key': 'submittedAt', 'type': 'iso-8601'},
        'scheduled_at': {'key': 'scheduledAt', 'type': 'iso-8601'},
        'ended_at': {'key': 'endedAt', 'type': 'iso-8601'},
        'cancellation_requested_at': {'key': 'cancellationRequestedAt', 'type': 'iso-8601'},
        'current_state': {'key': 'currentState', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        submitted_at: Optional[datetime.datetime] = None,
        scheduled_at: Optional[datetime.datetime] = None,
        ended_at: Optional[datetime.datetime] = None,
        cancellation_requested_at: Optional[datetime.datetime] = None,
        current_state: Optional[Union[str, "SchedulerCurrentState"]] = None,
        **kwargs
    ):
        super(SparkScheduler, self).__init__(**kwargs)
        self.submitted_at = submitted_at
        self.scheduled_at = scheduled_at
        self.ended_at = ended_at
        self.cancellation_requested_at = cancellation_requested_at
        self.current_state = current_state


class SparkServiceError(msrest.serialization.Model):
    """SparkServiceError.

    :param message:
    :type message: str
    :param error_code:
    :type error_code: str
    :param source:  Possible values include: "System", "User", "Unknown", "Dependency".
    :type source: str or ~azure.synapse.artifacts.v2020_12_01.models.SparkErrorSource
    """

    _attribute_map = {
        'message': {'key': 'message', 'type': 'str'},
        'error_code': {'key': 'errorCode', 'type': 'str'},
        'source': {'key': 'source', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        message: Optional[str] = None,
        error_code: Optional[str] = None,
        source: Optional[Union[str, "SparkErrorSource"]] = None,
        **kwargs
    ):
        super(SparkServiceError, self).__init__(**kwargs)
        self.message = message
        self.error_code = error_code
        self.source = source


class SparkServicePlugin(msrest.serialization.Model):
    """SparkServicePlugin.

    :param preparation_started_at:
    :type preparation_started_at: ~datetime.datetime
    :param resource_acquisition_started_at:
    :type resource_acquisition_started_at: ~datetime.datetime
    :param submission_started_at:
    :type submission_started_at: ~datetime.datetime
    :param monitoring_started_at:
    :type monitoring_started_at: ~datetime.datetime
    :param cleanup_started_at:
    :type cleanup_started_at: ~datetime.datetime
    :param current_state:  Possible values include: "Preparation", "ResourceAcquisition", "Queued",
     "Submission", "Monitoring", "Cleanup", "Ended".
    :type current_state: str or ~azure.synapse.artifacts.v2020_12_01.models.PluginCurrentState
    """

    _attribute_map = {
        'preparation_started_at': {'key': 'preparationStartedAt', 'type': 'iso-8601'},
        'resource_acquisition_started_at': {'key': 'resourceAcquisitionStartedAt', 'type': 'iso-8601'},
        'submission_started_at': {'key': 'submissionStartedAt', 'type': 'iso-8601'},
        'monitoring_started_at': {'key': 'monitoringStartedAt', 'type': 'iso-8601'},
        'cleanup_started_at': {'key': 'cleanupStartedAt', 'type': 'iso-8601'},
        'current_state': {'key': 'currentState', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        preparation_started_at: Optional[datetime.datetime] = None,
        resource_acquisition_started_at: Optional[datetime.datetime] = None,
        submission_started_at: Optional[datetime.datetime] = None,
        monitoring_started_at: Optional[datetime.datetime] = None,
        cleanup_started_at: Optional[datetime.datetime] = None,
        current_state: Optional[Union[str, "PluginCurrentState"]] = None,
        **kwargs
    ):
        super(SparkServicePlugin, self).__init__(**kwargs)
        self.preparation_started_at = preparation_started_at
        self.resource_acquisition_started_at = resource_acquisition_started_at
        self.submission_started_at = submission_started_at
        self.monitoring_started_at = monitoring_started_at
        self.cleanup_started_at = cleanup_started_at
        self.current_state = current_state


class SparkSource(TabularSource):
    """A copy activity Spark Server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(SparkSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SparkSource'  # type: str
        self.query = query


class SqlConnection(msrest.serialization.Model):
    """The connection used to execute the SQL script.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The type of the connection. Possible values include: "SqlOnDemand",
     "SqlPool".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.SqlConnectionType
    :param name: Required. The identifier of the connection.
    :type name: str
    """

    _validation = {
        'type': {'required': True},
        'name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "SqlConnectionType"],
        name: str,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(SqlConnection, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.type = type
        self.name = name


class SqlDWSink(CopySink):
    """A copy activity SQL Data Warehouse sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param allow_poly_base: Indicates to use PolyBase to copy data into SQL Data Warehouse when
     applicable. Type: boolean (or Expression with resultType boolean).
    :type allow_poly_base: any
    :param poly_base_settings: Specifies PolyBase-related settings when allowPolyBase is true.
    :type poly_base_settings: ~azure.synapse.artifacts.v2020_12_01.models.PolybaseSettings
    :param allow_copy_command: Indicates to use Copy Command to copy data into SQL Data Warehouse.
     Type: boolean (or Expression with resultType boolean).
    :type allow_copy_command: any
    :param copy_command_settings: Specifies Copy Command related settings when allowCopyCommand is
     true.
    :type copy_command_settings: ~azure.synapse.artifacts.v2020_12_01.models.DWCopyCommandSettings
    :param table_option: The option to handle sink table, such as autoCreate. For now only
     'autoCreate' value is supported. Type: string (or Expression with resultType string).
    :type table_option: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'allow_poly_base': {'key': 'allowPolyBase', 'type': 'object'},
        'poly_base_settings': {'key': 'polyBaseSettings', 'type': 'PolybaseSettings'},
        'allow_copy_command': {'key': 'allowCopyCommand', 'type': 'object'},
        'copy_command_settings': {'key': 'copyCommandSettings', 'type': 'DWCopyCommandSettings'},
        'table_option': {'key': 'tableOption', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        allow_poly_base: Optional[Any] = None,
        poly_base_settings: Optional["PolybaseSettings"] = None,
        allow_copy_command: Optional[Any] = None,
        copy_command_settings: Optional["DWCopyCommandSettings"] = None,
        table_option: Optional[Any] = None,
        **kwargs
    ):
        super(SqlDWSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SqlDWSink'  # type: str
        self.pre_copy_script = pre_copy_script
        self.allow_poly_base = allow_poly_base
        self.poly_base_settings = poly_base_settings
        self.allow_copy_command = allow_copy_command
        self.copy_command_settings = copy_command_settings
        self.table_option = table_option


class SqlDWSource(TabularSource):
    """A copy activity SQL Data Warehouse source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param sql_reader_query: SQL Data Warehouse reader query. Type: string (or Expression with
     resultType string).
    :type sql_reader_query: any
    :param sql_reader_stored_procedure_name: Name of the stored procedure for a SQL Data Warehouse
     source. This cannot be used at the same time as SqlReaderQuery. Type: string (or Expression
     with resultType string).
    :type sql_reader_stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}". Type: object (or Expression with resultType
     object), itemType: StoredProcedureParameter.
    :type stored_procedure_parameters: any
    :param partition_option: The partition mechanism that will be used for Sql read in parallel.
     Possible values include: "None", "PhysicalPartitionsOfTable", "DynamicRange".
    :type partition_option: any
    :param partition_settings: The settings that will be leveraged for Sql source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SqlPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'sql_reader_query': {'key': 'sqlReaderQuery', 'type': 'object'},
        'sql_reader_stored_procedure_name': {'key': 'sqlReaderStoredProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'object'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SqlPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        sql_reader_query: Optional[Any] = None,
        sql_reader_stored_procedure_name: Optional[Any] = None,
        stored_procedure_parameters: Optional[Any] = None,
        partition_option: Optional[Any] = None,
        partition_settings: Optional["SqlPartitionSettings"] = None,
        **kwargs
    ):
        super(SqlDWSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SqlDWSource'  # type: str
        self.sql_reader_query = sql_reader_query
        self.sql_reader_stored_procedure_name = sql_reader_stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class SqlMISink(CopySink):
    """A copy activity Azure SQL Managed Instance sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param sql_writer_stored_procedure_name: SQL writer stored procedure name. Type: string (or
     Expression with resultType string).
    :type sql_writer_stored_procedure_name: any
    :param sql_writer_table_type: SQL writer table type. Type: string (or Expression with
     resultType string).
    :type sql_writer_table_type: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param stored_procedure_parameters: SQL stored procedure parameters.
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param stored_procedure_table_type_parameter_name: The stored procedure parameter name of the
     table type. Type: string (or Expression with resultType string).
    :type stored_procedure_table_type_parameter_name: any
    :param table_option: The option to handle sink table, such as autoCreate. For now only
     'autoCreate' value is supported. Type: string (or Expression with resultType string).
    :type table_option: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'sql_writer_stored_procedure_name': {'key': 'sqlWriterStoredProcedureName', 'type': 'object'},
        'sql_writer_table_type': {'key': 'sqlWriterTableType', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'stored_procedure_table_type_parameter_name': {'key': 'storedProcedureTableTypeParameterName', 'type': 'object'},
        'table_option': {'key': 'tableOption', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        sql_writer_stored_procedure_name: Optional[Any] = None,
        sql_writer_table_type: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        stored_procedure_table_type_parameter_name: Optional[Any] = None,
        table_option: Optional[Any] = None,
        **kwargs
    ):
        super(SqlMISink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SqlMISink'  # type: str
        self.sql_writer_stored_procedure_name = sql_writer_stored_procedure_name
        self.sql_writer_table_type = sql_writer_table_type
        self.pre_copy_script = pre_copy_script
        self.stored_procedure_parameters = stored_procedure_parameters
        self.stored_procedure_table_type_parameter_name = stored_procedure_table_type_parameter_name
        self.table_option = table_option


class SqlMISource(TabularSource):
    """A copy activity Azure SQL Managed Instance source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param sql_reader_query: SQL reader query. Type: string (or Expression with resultType string).
    :type sql_reader_query: any
    :param sql_reader_stored_procedure_name: Name of the stored procedure for a Azure SQL Managed
     Instance source. This cannot be used at the same time as SqlReaderQuery. Type: string (or
     Expression with resultType string).
    :type sql_reader_stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}".
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param produce_additional_types: Which additional types to produce.
    :type produce_additional_types: any
    :param partition_option: The partition mechanism that will be used for Sql read in parallel.
     Possible values include: "None", "PhysicalPartitionsOfTable", "DynamicRange".
    :type partition_option: any
    :param partition_settings: The settings that will be leveraged for Sql source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SqlPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'sql_reader_query': {'key': 'sqlReaderQuery', 'type': 'object'},
        'sql_reader_stored_procedure_name': {'key': 'sqlReaderStoredProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'produce_additional_types': {'key': 'produceAdditionalTypes', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'object'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SqlPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        sql_reader_query: Optional[Any] = None,
        sql_reader_stored_procedure_name: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        produce_additional_types: Optional[Any] = None,
        partition_option: Optional[Any] = None,
        partition_settings: Optional["SqlPartitionSettings"] = None,
        **kwargs
    ):
        super(SqlMISource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SqlMISource'  # type: str
        self.sql_reader_query = sql_reader_query
        self.sql_reader_stored_procedure_name = sql_reader_stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters
        self.produce_additional_types = produce_additional_types
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class SqlPartitionSettings(msrest.serialization.Model):
    """The settings that will be leveraged for Sql source partitioning.

    :param partition_column_name: The name of the column in integer or datetime type that will be
     used for proceeding partitioning. If not specified, the primary key of the table is
     auto-detected and used as the partition column. Type: string (or Expression with resultType
     string).
    :type partition_column_name: any
    :param partition_upper_bound: The maximum value of the partition column for partition range
     splitting. This value is used to decide the partition stride, not for filtering the rows in
     table. All rows in the table or query result will be partitioned and copied. Type: string (or
     Expression with resultType string).
    :type partition_upper_bound: any
    :param partition_lower_bound: The minimum value of the partition column for partition range
     splitting. This value is used to decide the partition stride, not for filtering the rows in
     table. All rows in the table or query result will be partitioned and copied. Type: string (or
     Expression with resultType string).
    :type partition_lower_bound: any
    """

    _attribute_map = {
        'partition_column_name': {'key': 'partitionColumnName', 'type': 'object'},
        'partition_upper_bound': {'key': 'partitionUpperBound', 'type': 'object'},
        'partition_lower_bound': {'key': 'partitionLowerBound', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        partition_column_name: Optional[Any] = None,
        partition_upper_bound: Optional[Any] = None,
        partition_lower_bound: Optional[Any] = None,
        **kwargs
    ):
        super(SqlPartitionSettings, self).__init__(**kwargs)
        self.partition_column_name = partition_column_name
        self.partition_upper_bound = partition_upper_bound
        self.partition_lower_bound = partition_lower_bound


class SqlPool(TrackedResource):
    """A SQL Analytics pool.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :param tags: A set of tags. Resource tags.
    :type tags: dict[str, str]
    :param location: Required. The geo-location where the resource lives.
    :type location: str
    :param sku: SQL pool SKU.
    :type sku: ~azure.synapse.artifacts.v2020_12_01.models.Sku
    :param max_size_bytes: Maximum size in bytes.
    :type max_size_bytes: long
    :param collation: Collation mode.
    :type collation: str
    :param source_database_id: Source database to create from.
    :type source_database_id: str
    :param recoverable_database_id: Backup database to restore from.
    :type recoverable_database_id: str
    :param provisioning_state: Resource state.
    :type provisioning_state: str
    :param status: Resource status.
    :type status: str
    :param restore_point_in_time: Snapshot time to restore.
    :type restore_point_in_time: str
    :param create_mode: What is this?.
    :type create_mode: str
    :param creation_date: Date the SQL pool was created.
    :type creation_date: ~datetime.datetime
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'location': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'tags': {'key': 'tags', 'type': '{str}'},
        'location': {'key': 'location', 'type': 'str'},
        'sku': {'key': 'sku', 'type': 'Sku'},
        'max_size_bytes': {'key': 'properties.maxSizeBytes', 'type': 'long'},
        'collation': {'key': 'properties.collation', 'type': 'str'},
        'source_database_id': {'key': 'properties.sourceDatabaseId', 'type': 'str'},
        'recoverable_database_id': {'key': 'properties.recoverableDatabaseId', 'type': 'str'},
        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
        'status': {'key': 'properties.status', 'type': 'str'},
        'restore_point_in_time': {'key': 'properties.restorePointInTime', 'type': 'str'},
        'create_mode': {'key': 'properties.createMode', 'type': 'str'},
        'creation_date': {'key': 'properties.creationDate', 'type': 'iso-8601'},
    }

    def __init__(
        self,
        *,
        location: str,
        tags: Optional[Dict[str, str]] = None,
        sku: Optional["Sku"] = None,
        max_size_bytes: Optional[int] = None,
        collation: Optional[str] = None,
        source_database_id: Optional[str] = None,
        recoverable_database_id: Optional[str] = None,
        provisioning_state: Optional[str] = None,
        status: Optional[str] = None,
        restore_point_in_time: Optional[str] = None,
        create_mode: Optional[str] = None,
        creation_date: Optional[datetime.datetime] = None,
        **kwargs
    ):
        super(SqlPool, self).__init__(tags=tags, location=location, **kwargs)
        self.sku = sku
        self.max_size_bytes = max_size_bytes
        self.collation = collation
        self.source_database_id = source_database_id
        self.recoverable_database_id = recoverable_database_id
        self.provisioning_state = provisioning_state
        self.status = status
        self.restore_point_in_time = restore_point_in_time
        self.create_mode = create_mode
        self.creation_date = creation_date


class SqlPoolInfoListResult(msrest.serialization.Model):
    """List of SQL pools.

    :param next_link: Link to the next page of results.
    :type next_link: str
    :param value: List of SQL pools.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.SqlPool]
    """

    _attribute_map = {
        'next_link': {'key': 'nextLink', 'type': 'str'},
        'value': {'key': 'value', 'type': '[SqlPool]'},
    }

    def __init__(
        self,
        *,
        next_link: Optional[str] = None,
        value: Optional[List["SqlPool"]] = None,
        **kwargs
    ):
        super(SqlPoolInfoListResult, self).__init__(**kwargs)
        self.next_link = next_link
        self.value = value


class SqlPoolReference(msrest.serialization.Model):
    """SQL pool reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. SQL pool reference type. Possible values include: "SqlPoolReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.SqlPoolReferenceType
    :param reference_name: Required. Reference SQL pool name.
    :type reference_name: str
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "SqlPoolReferenceType"],
        reference_name: str,
        **kwargs
    ):
        super(SqlPoolReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name


class SqlPoolStoredProcedureActivity(Activity):
    """Execute SQL pool stored procedure activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param sql_pool: Required. SQL pool stored procedure reference.
    :type sql_pool: ~azure.synapse.artifacts.v2020_12_01.models.SqlPoolReference
    :param stored_procedure_name: Required. Stored procedure name. Type: string (or Expression with
     resultType string).
    :type stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}".
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'sql_pool': {'required': True},
        'stored_procedure_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'sql_pool': {'key': 'sqlPool', 'type': 'SqlPoolReference'},
        'stored_procedure_name': {'key': 'typeProperties.storedProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'typeProperties.storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
    }

    def __init__(
        self,
        *,
        name: str,
        sql_pool: "SqlPoolReference",
        stored_procedure_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        **kwargs
    ):
        super(SqlPoolStoredProcedureActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'SqlPoolStoredProcedure'  # type: str
        self.sql_pool = sql_pool
        self.stored_procedure_name = stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters


class SqlScript(msrest.serialization.Model):
    """SQL script.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param description: The description of the SQL script.
    :type description: str
    :param type: The type of the SQL script. Possible values include: "SqlQuery".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.SqlScriptType
    :param content: Required. The content of the SQL script.
    :type content: ~azure.synapse.artifacts.v2020_12_01.models.SqlScriptContent
    """

    _validation = {
        'content': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'description': {'key': 'description', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'content': {'key': 'content', 'type': 'SqlScriptContent'},
    }

    def __init__(
        self,
        *,
        content: "SqlScriptContent",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        type: Optional[Union[str, "SqlScriptType"]] = None,
        **kwargs
    ):
        super(SqlScript, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.description = description
        self.type = type
        self.content = content


class SqlScriptContent(msrest.serialization.Model):
    """The content of the SQL script.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param query: Required. SQL query to execute.
    :type query: str
    :param current_connection: Required. The connection used to execute the SQL script.
    :type current_connection: ~azure.synapse.artifacts.v2020_12_01.models.SqlConnection
    :param metadata: The metadata of the SQL script.
    :type metadata: ~azure.synapse.artifacts.v2020_12_01.models.SqlScriptMetadata
    """

    _validation = {
        'query': {'required': True},
        'current_connection': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'query': {'key': 'query', 'type': 'str'},
        'current_connection': {'key': 'currentConnection', 'type': 'SqlConnection'},
        'metadata': {'key': 'metadata', 'type': 'SqlScriptMetadata'},
    }

    def __init__(
        self,
        *,
        query: str,
        current_connection: "SqlConnection",
        additional_properties: Optional[Dict[str, Any]] = None,
        metadata: Optional["SqlScriptMetadata"] = None,
        **kwargs
    ):
        super(SqlScriptContent, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.query = query
        self.current_connection = current_connection
        self.metadata = metadata


class SqlScriptMetadata(msrest.serialization.Model):
    """The metadata of the SQL script.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param language: The language of the SQL script.
    :type language: str
    """

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'language': {'key': 'language', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        language: Optional[str] = None,
        **kwargs
    ):
        super(SqlScriptMetadata, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.language = language


class SqlScriptResource(msrest.serialization.Model):
    """Sql Script resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource Id for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :param name: Required. The name of the resource.
    :type name: str
    :ivar type: The type of the resource. Ex- Microsoft.Compute/virtualMachines or
     Microsoft.Storage/storageAccounts.
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Properties of sql script.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.SqlScript
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'required': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'SqlScript'},
    }

    def __init__(
        self,
        *,
        name: str,
        properties: "SqlScript",
        **kwargs
    ):
        super(SqlScriptResource, self).__init__(**kwargs)
        self.id = None
        self.name = name
        self.type = None
        self.etag = None
        self.properties = properties


class SqlScriptsListResponse(msrest.serialization.Model):
    """A list of sql scripts resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of sql scripts.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.SqlScriptResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[SqlScriptResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["SqlScriptResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(SqlScriptsListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class SqlServerLinkedService(LinkedService):
    """SQL Server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Required. The connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param user_name: The on-premises Windows authentication user name. Type: string (or Expression
     with resultType string).
    :type user_name: any
    :param password: The on-premises Windows authentication password.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'connection_string': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'user_name': {'key': 'typeProperties.userName', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        connection_string: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        user_name: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SqlServerLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'SqlServer'  # type: str
        self.connection_string = connection_string
        self.user_name = user_name
        self.password = password
        self.encrypted_credential = encrypted_credential


class SqlServerSink(CopySink):
    """A copy activity SQL server sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param sql_writer_stored_procedure_name: SQL writer stored procedure name. Type: string (or
     Expression with resultType string).
    :type sql_writer_stored_procedure_name: any
    :param sql_writer_table_type: SQL writer table type. Type: string (or Expression with
     resultType string).
    :type sql_writer_table_type: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param stored_procedure_parameters: SQL stored procedure parameters.
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param stored_procedure_table_type_parameter_name: The stored procedure parameter name of the
     table type. Type: string (or Expression with resultType string).
    :type stored_procedure_table_type_parameter_name: any
    :param table_option: The option to handle sink table, such as autoCreate. For now only
     'autoCreate' value is supported. Type: string (or Expression with resultType string).
    :type table_option: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'sql_writer_stored_procedure_name': {'key': 'sqlWriterStoredProcedureName', 'type': 'object'},
        'sql_writer_table_type': {'key': 'sqlWriterTableType', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'stored_procedure_table_type_parameter_name': {'key': 'storedProcedureTableTypeParameterName', 'type': 'object'},
        'table_option': {'key': 'tableOption', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        sql_writer_stored_procedure_name: Optional[Any] = None,
        sql_writer_table_type: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        stored_procedure_table_type_parameter_name: Optional[Any] = None,
        table_option: Optional[Any] = None,
        **kwargs
    ):
        super(SqlServerSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SqlServerSink'  # type: str
        self.sql_writer_stored_procedure_name = sql_writer_stored_procedure_name
        self.sql_writer_table_type = sql_writer_table_type
        self.pre_copy_script = pre_copy_script
        self.stored_procedure_parameters = stored_procedure_parameters
        self.stored_procedure_table_type_parameter_name = stored_procedure_table_type_parameter_name
        self.table_option = table_option


class SqlServerSource(TabularSource):
    """A copy activity SQL server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param sql_reader_query: SQL reader query. Type: string (or Expression with resultType string).
    :type sql_reader_query: any
    :param sql_reader_stored_procedure_name: Name of the stored procedure for a SQL Database
     source. This cannot be used at the same time as SqlReaderQuery. Type: string (or Expression
     with resultType string).
    :type sql_reader_stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}".
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param produce_additional_types: Which additional types to produce.
    :type produce_additional_types: any
    :param partition_option: The partition mechanism that will be used for Sql read in parallel.
     Possible values include: "None", "PhysicalPartitionsOfTable", "DynamicRange".
    :type partition_option: any
    :param partition_settings: The settings that will be leveraged for Sql source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SqlPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'sql_reader_query': {'key': 'sqlReaderQuery', 'type': 'object'},
        'sql_reader_stored_procedure_name': {'key': 'sqlReaderStoredProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'produce_additional_types': {'key': 'produceAdditionalTypes', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'object'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SqlPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        sql_reader_query: Optional[Any] = None,
        sql_reader_stored_procedure_name: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        produce_additional_types: Optional[Any] = None,
        partition_option: Optional[Any] = None,
        partition_settings: Optional["SqlPartitionSettings"] = None,
        **kwargs
    ):
        super(SqlServerSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SqlServerSource'  # type: str
        self.sql_reader_query = sql_reader_query
        self.sql_reader_stored_procedure_name = sql_reader_stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters
        self.produce_additional_types = produce_additional_types
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class SqlServerStoredProcedureActivity(ExecutionActivity):
    """SQL stored procedure activity type.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param stored_procedure_name: Required. Stored procedure name. Type: string (or Expression with
     resultType string).
    :type stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}".
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'stored_procedure_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'stored_procedure_name': {'key': 'typeProperties.storedProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'typeProperties.storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
    }

    def __init__(
        self,
        *,
        name: str,
        stored_procedure_name: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        **kwargs
    ):
        super(SqlServerStoredProcedureActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'SqlServerStoredProcedure'  # type: str
        self.stored_procedure_name = stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters


class SqlServerTableDataset(Dataset):
    """The on-premises SQL Server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param schema_type_properties_schema: The schema name of the SQL Server dataset. Type: string
     (or Expression with resultType string).
    :type schema_type_properties_schema: any
    :param table: The table name of the SQL Server dataset. Type: string (or Expression with
     resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(SqlServerTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SqlServerTable'  # type: str
        self.table_name = table_name
        self.schema_type_properties_schema = schema_type_properties_schema
        self.table = table


class SqlSink(CopySink):
    """A copy activity SQL sink.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy sink type.Constant filled by server.
    :type type: str
    :param write_batch_size: Write batch size. Type: integer (or Expression with resultType
     integer), minimum: 0.
    :type write_batch_size: any
    :param write_batch_timeout: Write batch timeout. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type write_batch_timeout: any
    :param sink_retry_count: Sink retry count. Type: integer (or Expression with resultType
     integer).
    :type sink_retry_count: any
    :param sink_retry_wait: Sink retry wait. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type sink_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the sink data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param sql_writer_stored_procedure_name: SQL writer stored procedure name. Type: string (or
     Expression with resultType string).
    :type sql_writer_stored_procedure_name: any
    :param sql_writer_table_type: SQL writer table type. Type: string (or Expression with
     resultType string).
    :type sql_writer_table_type: any
    :param pre_copy_script: SQL pre-copy script. Type: string (or Expression with resultType
     string).
    :type pre_copy_script: any
    :param stored_procedure_parameters: SQL stored procedure parameters.
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param stored_procedure_table_type_parameter_name: The stored procedure parameter name of the
     table type. Type: string (or Expression with resultType string).
    :type stored_procedure_table_type_parameter_name: any
    :param table_option: The option to handle sink table, such as autoCreate. For now only
     'autoCreate' value is supported. Type: string (or Expression with resultType string).
    :type table_option: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'write_batch_size': {'key': 'writeBatchSize', 'type': 'object'},
        'write_batch_timeout': {'key': 'writeBatchTimeout', 'type': 'object'},
        'sink_retry_count': {'key': 'sinkRetryCount', 'type': 'object'},
        'sink_retry_wait': {'key': 'sinkRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'sql_writer_stored_procedure_name': {'key': 'sqlWriterStoredProcedureName', 'type': 'object'},
        'sql_writer_table_type': {'key': 'sqlWriterTableType', 'type': 'object'},
        'pre_copy_script': {'key': 'preCopyScript', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'stored_procedure_table_type_parameter_name': {'key': 'storedProcedureTableTypeParameterName', 'type': 'object'},
        'table_option': {'key': 'tableOption', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        write_batch_size: Optional[Any] = None,
        write_batch_timeout: Optional[Any] = None,
        sink_retry_count: Optional[Any] = None,
        sink_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        sql_writer_stored_procedure_name: Optional[Any] = None,
        sql_writer_table_type: Optional[Any] = None,
        pre_copy_script: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        stored_procedure_table_type_parameter_name: Optional[Any] = None,
        table_option: Optional[Any] = None,
        **kwargs
    ):
        super(SqlSink, self).__init__(additional_properties=additional_properties, write_batch_size=write_batch_size, write_batch_timeout=write_batch_timeout, sink_retry_count=sink_retry_count, sink_retry_wait=sink_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'SqlSink'  # type: str
        self.sql_writer_stored_procedure_name = sql_writer_stored_procedure_name
        self.sql_writer_table_type = sql_writer_table_type
        self.pre_copy_script = pre_copy_script
        self.stored_procedure_parameters = stored_procedure_parameters
        self.stored_procedure_table_type_parameter_name = stored_procedure_table_type_parameter_name
        self.table_option = table_option


class SqlSource(TabularSource):
    """A copy activity SQL source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param sql_reader_query: SQL reader query. Type: string (or Expression with resultType string).
    :type sql_reader_query: any
    :param sql_reader_stored_procedure_name: Name of the stored procedure for a SQL Database
     source. This cannot be used at the same time as SqlReaderQuery. Type: string (or Expression
     with resultType string).
    :type sql_reader_stored_procedure_name: any
    :param stored_procedure_parameters: Value and type setting for stored procedure parameters.
     Example: "{Parameter1: {value: "1", type: "int"}}".
    :type stored_procedure_parameters: dict[str,
     ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameter]
    :param isolation_level: Specifies the transaction locking behavior for the SQL source. Allowed
     values: ReadCommitted/ReadUncommitted/RepeatableRead/Serializable/Snapshot. The default value
     is ReadCommitted. Type: string (or Expression with resultType string).
    :type isolation_level: any
    :param partition_option: The partition mechanism that will be used for Sql read in parallel.
     Possible values include: "None", "PhysicalPartitionsOfTable", "DynamicRange".
    :type partition_option: any
    :param partition_settings: The settings that will be leveraged for Sql source partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.SqlPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'sql_reader_query': {'key': 'sqlReaderQuery', 'type': 'object'},
        'sql_reader_stored_procedure_name': {'key': 'sqlReaderStoredProcedureName', 'type': 'object'},
        'stored_procedure_parameters': {'key': 'storedProcedureParameters', 'type': '{StoredProcedureParameter}'},
        'isolation_level': {'key': 'isolationLevel', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'object'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'SqlPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        sql_reader_query: Optional[Any] = None,
        sql_reader_stored_procedure_name: Optional[Any] = None,
        stored_procedure_parameters: Optional[Dict[str, "StoredProcedureParameter"]] = None,
        isolation_level: Optional[Any] = None,
        partition_option: Optional[Any] = None,
        partition_settings: Optional["SqlPartitionSettings"] = None,
        **kwargs
    ):
        super(SqlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SqlSource'  # type: str
        self.sql_reader_query = sql_reader_query
        self.sql_reader_stored_procedure_name = sql_reader_stored_procedure_name
        self.stored_procedure_parameters = stored_procedure_parameters
        self.isolation_level = isolation_level
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class SquareLinkedService(LinkedService):
    """Square Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_properties: Properties used to connect to Square. It is mutually exclusive
     with any other properties in the linked service. Type: object.
    :type connection_properties: any
    :param host: Required. The URL of the Square instance. (i.e. mystore.mysquare.com).
    :type host: any
    :param client_id: Required. The client ID associated with your Square application.
    :type client_id: any
    :param client_secret: The client secret associated with your Square application.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param redirect_uri: Required. The redirect URL assigned in the Square application dashboard.
     (i.e. http://localhost:2500).
    :type redirect_uri: any
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
        'client_id': {'required': True},
        'redirect_uri': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_properties': {'key': 'typeProperties.connectionProperties', 'type': 'object'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'client_id': {'key': 'typeProperties.clientId', 'type': 'object'},
        'client_secret': {'key': 'typeProperties.clientSecret', 'type': 'SecretBase'},
        'redirect_uri': {'key': 'typeProperties.redirectUri', 'type': 'object'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        client_id: Any,
        redirect_uri: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_properties: Optional[Any] = None,
        client_secret: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SquareLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Square'  # type: str
        self.connection_properties = connection_properties
        self.host = host
        self.client_id = client_id
        self.client_secret = client_secret
        self.redirect_uri = redirect_uri
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class SquareObjectDataset(Dataset):
    """Square Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(SquareObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SquareObject'  # type: str
        self.table_name = table_name


class SquareSource(TabularSource):
    """A copy activity Square Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(SquareSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SquareSource'  # type: str
        self.query = query


class SSISAccessCredential(msrest.serialization.Model):
    """SSIS access credential.

    All required parameters must be populated in order to send to Azure.

    :param domain: Required. Domain for windows authentication.
    :type domain: any
    :param user_name: Required. UseName for windows authentication.
    :type user_name: any
    :param password: Required. Password for windows authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    """

    _validation = {
        'domain': {'required': True},
        'user_name': {'required': True},
        'password': {'required': True},
    }

    _attribute_map = {
        'domain': {'key': 'domain', 'type': 'object'},
        'user_name': {'key': 'userName', 'type': 'object'},
        'password': {'key': 'password', 'type': 'SecretBase'},
    }

    def __init__(
        self,
        *,
        domain: Any,
        user_name: Any,
        password: "SecretBase",
        **kwargs
    ):
        super(SSISAccessCredential, self).__init__(**kwargs)
        self.domain = domain
        self.user_name = user_name
        self.password = password


class SSISChildPackage(msrest.serialization.Model):
    """SSIS embedded child package.

    All required parameters must be populated in order to send to Azure.

    :param package_path: Required. Path for embedded child package. Type: string (or Expression
     with resultType string).
    :type package_path: any
    :param package_name: Name for embedded child package.
    :type package_name: str
    :param package_content: Required. Content for embedded child package. Type: string (or
     Expression with resultType string).
    :type package_content: any
    :param package_last_modified_date: Last modified date for embedded child package.
    :type package_last_modified_date: str
    """

    _validation = {
        'package_path': {'required': True},
        'package_content': {'required': True},
    }

    _attribute_map = {
        'package_path': {'key': 'packagePath', 'type': 'object'},
        'package_name': {'key': 'packageName', 'type': 'str'},
        'package_content': {'key': 'packageContent', 'type': 'object'},
        'package_last_modified_date': {'key': 'packageLastModifiedDate', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        package_path: Any,
        package_content: Any,
        package_name: Optional[str] = None,
        package_last_modified_date: Optional[str] = None,
        **kwargs
    ):
        super(SSISChildPackage, self).__init__(**kwargs)
        self.package_path = package_path
        self.package_name = package_name
        self.package_content = package_content
        self.package_last_modified_date = package_last_modified_date


class SSISExecutionCredential(msrest.serialization.Model):
    """SSIS package execution credential.

    All required parameters must be populated in order to send to Azure.

    :param domain: Required. Domain for windows authentication.
    :type domain: any
    :param user_name: Required. UseName for windows authentication.
    :type user_name: any
    :param password: Required. Password for windows authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecureString
    """

    _validation = {
        'domain': {'required': True},
        'user_name': {'required': True},
        'password': {'required': True},
    }

    _attribute_map = {
        'domain': {'key': 'domain', 'type': 'object'},
        'user_name': {'key': 'userName', 'type': 'object'},
        'password': {'key': 'password', 'type': 'SecureString'},
    }

    def __init__(
        self,
        *,
        domain: Any,
        user_name: Any,
        password: "SecureString",
        **kwargs
    ):
        super(SSISExecutionCredential, self).__init__(**kwargs)
        self.domain = domain
        self.user_name = user_name
        self.password = password


class SSISExecutionParameter(msrest.serialization.Model):
    """SSIS execution parameter.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. SSIS package execution parameter value. Type: string (or Expression
     with resultType string).
    :type value: any
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        value: Any,
        **kwargs
    ):
        super(SSISExecutionParameter, self).__init__(**kwargs)
        self.value = value


class SSISLogLocation(msrest.serialization.Model):
    """SSIS package execution log location.

    All required parameters must be populated in order to send to Azure.

    :param log_path: Required. The SSIS package execution log path. Type: string (or Expression
     with resultType string).
    :type log_path: any
    :param type: Required. The type of SSIS log location. Possible values include: "File".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.SsisLogLocationType
    :param access_credential: The package execution log access credential.
    :type access_credential: ~azure.synapse.artifacts.v2020_12_01.models.SSISAccessCredential
    :param log_refresh_interval: Specifies the interval to refresh log. The default interval is 5
     minutes. Type: string (or Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type log_refresh_interval: any
    """

    _validation = {
        'log_path': {'required': True},
        'type': {'required': True},
    }

    _attribute_map = {
        'log_path': {'key': 'logPath', 'type': 'object'},
        'type': {'key': 'type', 'type': 'str'},
        'access_credential': {'key': 'typeProperties.accessCredential', 'type': 'SSISAccessCredential'},
        'log_refresh_interval': {'key': 'typeProperties.logRefreshInterval', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        log_path: Any,
        type: Union[str, "SsisLogLocationType"],
        access_credential: Optional["SSISAccessCredential"] = None,
        log_refresh_interval: Optional[Any] = None,
        **kwargs
    ):
        super(SSISLogLocation, self).__init__(**kwargs)
        self.log_path = log_path
        self.type = type
        self.access_credential = access_credential
        self.log_refresh_interval = log_refresh_interval


class SsisObjectMetadataStatusResponse(msrest.serialization.Model):
    """The status of the operation.

    :param status: The status of the operation.
    :type status: str
    :param name: The operation name.
    :type name: str
    :param properties: The operation properties.
    :type properties: str
    :param error: The operation error message.
    :type error: str
    """

    _attribute_map = {
        'status': {'key': 'status', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'str'},
        'error': {'key': 'error', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        status: Optional[str] = None,
        name: Optional[str] = None,
        properties: Optional[str] = None,
        error: Optional[str] = None,
        **kwargs
    ):
        super(SsisObjectMetadataStatusResponse, self).__init__(**kwargs)
        self.status = status
        self.name = name
        self.properties = properties
        self.error = error


class SSISPackageLocation(msrest.serialization.Model):
    """SSIS package location.

    :param package_path: The SSIS package path. Type: string (or Expression with resultType
     string).
    :type package_path: any
    :param type: The type of SSIS package location. Possible values include: "SSISDB", "File",
     "InlinePackage", "PackageStore".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.SsisPackageLocationType
    :param package_password: Password of the package.
    :type package_password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param access_credential: The package access credential.
    :type access_credential: ~azure.synapse.artifacts.v2020_12_01.models.SSISAccessCredential
    :param configuration_path: The configuration file of the package execution. Type: string (or
     Expression with resultType string).
    :type configuration_path: any
    :param configuration_access_credential: The configuration file access credential.
    :type configuration_access_credential:
     ~azure.synapse.artifacts.v2020_12_01.models.SSISAccessCredential
    :param package_name: The package name.
    :type package_name: str
    :param package_content: The embedded package content. Type: string (or Expression with
     resultType string).
    :type package_content: any
    :param package_last_modified_date: The embedded package last modified date.
    :type package_last_modified_date: str
    :param child_packages: The embedded child package list.
    :type child_packages: list[~azure.synapse.artifacts.v2020_12_01.models.SSISChildPackage]
    """

    _attribute_map = {
        'package_path': {'key': 'packagePath', 'type': 'object'},
        'type': {'key': 'type', 'type': 'str'},
        'package_password': {'key': 'typeProperties.packagePassword', 'type': 'SecretBase'},
        'access_credential': {'key': 'typeProperties.accessCredential', 'type': 'SSISAccessCredential'},
        'configuration_path': {'key': 'typeProperties.configurationPath', 'type': 'object'},
        'configuration_access_credential': {'key': 'typeProperties.configurationAccessCredential', 'type': 'SSISAccessCredential'},
        'package_name': {'key': 'typeProperties.packageName', 'type': 'str'},
        'package_content': {'key': 'typeProperties.packageContent', 'type': 'object'},
        'package_last_modified_date': {'key': 'typeProperties.packageLastModifiedDate', 'type': 'str'},
        'child_packages': {'key': 'typeProperties.childPackages', 'type': '[SSISChildPackage]'},
    }

    def __init__(
        self,
        *,
        package_path: Optional[Any] = None,
        type: Optional[Union[str, "SsisPackageLocationType"]] = None,
        package_password: Optional["SecretBase"] = None,
        access_credential: Optional["SSISAccessCredential"] = None,
        configuration_path: Optional[Any] = None,
        configuration_access_credential: Optional["SSISAccessCredential"] = None,
        package_name: Optional[str] = None,
        package_content: Optional[Any] = None,
        package_last_modified_date: Optional[str] = None,
        child_packages: Optional[List["SSISChildPackage"]] = None,
        **kwargs
    ):
        super(SSISPackageLocation, self).__init__(**kwargs)
        self.package_path = package_path
        self.type = type
        self.package_password = package_password
        self.access_credential = access_credential
        self.configuration_path = configuration_path
        self.configuration_access_credential = configuration_access_credential
        self.package_name = package_name
        self.package_content = package_content
        self.package_last_modified_date = package_last_modified_date
        self.child_packages = child_packages


class SSISPropertyOverride(msrest.serialization.Model):
    """SSIS property override.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. SSIS package property override value. Type: string (or Expression with
     resultType string).
    :type value: any
    :param is_sensitive: Whether SSIS package property override value is sensitive data. Value will
     be encrypted in SSISDB if it is true.
    :type is_sensitive: bool
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': 'object'},
        'is_sensitive': {'key': 'isSensitive', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        value: Any,
        is_sensitive: Optional[bool] = None,
        **kwargs
    ):
        super(SSISPropertyOverride, self).__init__(**kwargs)
        self.value = value
        self.is_sensitive = is_sensitive


class StagingSettings(msrest.serialization.Model):
    """Staging settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param linked_service_name: Required. Staging linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param path: The path to storage for storing the interim data. Type: string (or Expression with
     resultType string).
    :type path: any
    :param enable_compression: Specifies whether to use compression when copying data via an
     interim staging. Default value is false. Type: boolean (or Expression with resultType boolean).
    :type enable_compression: any
    """

    _validation = {
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'path': {'key': 'path', 'type': 'object'},
        'enable_compression': {'key': 'enableCompression', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        path: Optional[Any] = None,
        enable_compression: Optional[Any] = None,
        **kwargs
    ):
        super(StagingSettings, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.linked_service_name = linked_service_name
        self.path = path
        self.enable_compression = enable_compression


class StartDataFlowDebugSessionRequest(msrest.serialization.Model):
    """Request body structure for starting data flow debug session.

    :param session_id: The ID of data flow debug session.
    :type session_id: str
    :param data_flow: Data flow instance.
    :type data_flow: ~azure.synapse.artifacts.v2020_12_01.models.DataFlowResource
    :param datasets: List of datasets.
    :type datasets: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetResource]
    :param linked_services: List of linked services.
    :type linked_services: list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceResource]
    :param staging: Staging info for debug session.
    :type staging: any
    :param debug_settings: Data flow debug settings.
    :type debug_settings: any
    :param incremental_debug: The type of new Databricks cluster.
    :type incremental_debug: bool
    """

    _attribute_map = {
        'session_id': {'key': 'sessionId', 'type': 'str'},
        'data_flow': {'key': 'dataFlow', 'type': 'DataFlowResource'},
        'datasets': {'key': 'datasets', 'type': '[DatasetResource]'},
        'linked_services': {'key': 'linkedServices', 'type': '[LinkedServiceResource]'},
        'staging': {'key': 'staging', 'type': 'object'},
        'debug_settings': {'key': 'debugSettings', 'type': 'object'},
        'incremental_debug': {'key': 'incrementalDebug', 'type': 'bool'},
    }

    def __init__(
        self,
        *,
        session_id: Optional[str] = None,
        data_flow: Optional["DataFlowResource"] = None,
        datasets: Optional[List["DatasetResource"]] = None,
        linked_services: Optional[List["LinkedServiceResource"]] = None,
        staging: Optional[Any] = None,
        debug_settings: Optional[Any] = None,
        incremental_debug: Optional[bool] = None,
        **kwargs
    ):
        super(StartDataFlowDebugSessionRequest, self).__init__(**kwargs)
        self.session_id = session_id
        self.data_flow = data_flow
        self.datasets = datasets
        self.linked_services = linked_services
        self.staging = staging
        self.debug_settings = debug_settings
        self.incremental_debug = incremental_debug


class StartDataFlowDebugSessionResponse(msrest.serialization.Model):
    """Response body structure for starting data flow debug session.

    :param job_version: The ID of data flow debug job version.
    :type job_version: str
    """

    _attribute_map = {
        'job_version': {'key': 'jobVersion', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        job_version: Optional[str] = None,
        **kwargs
    ):
        super(StartDataFlowDebugSessionResponse, self).__init__(**kwargs)
        self.job_version = job_version


class StoredProcedureParameter(msrest.serialization.Model):
    """SQL stored procedure parameter.

    :param value: Stored procedure parameter value. Type: string (or Expression with resultType
     string).
    :type value: any
    :param type: Stored procedure parameter type. Possible values include: "String", "Int",
     "Int64", "Decimal", "Guid", "Boolean", "Date".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.StoredProcedureParameterType
    """

    _attribute_map = {
        'value': {'key': 'value', 'type': 'object'},
        'type': {'key': 'type', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: Optional[Any] = None,
        type: Optional[Union[str, "StoredProcedureParameterType"]] = None,
        **kwargs
    ):
        super(StoredProcedureParameter, self).__init__(**kwargs)
        self.value = value
        self.type = type


class SwitchActivity(ControlActivity):
    """This activity evaluates an expression and executes activities under the cases property that correspond to the expression evaluation expected in the equals property.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param on: Required. An expression that would evaluate to a string or integer. This is used to
     determine the block of activities in cases that will be executed.
    :type on: ~azure.synapse.artifacts.v2020_12_01.models.Expression
    :param cases: List of cases that correspond to expected values of the 'on' property. This is an
     optional property and if not provided, the activity will execute activities provided in
     defaultActivities.
    :type cases: list[~azure.synapse.artifacts.v2020_12_01.models.SwitchCase]
    :param default_activities: List of activities to execute if no case condition is satisfied.
     This is an optional property and if not provided, the activity will exit without any action.
    :type default_activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'on': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'on': {'key': 'typeProperties.on', 'type': 'Expression'},
        'cases': {'key': 'typeProperties.cases', 'type': '[SwitchCase]'},
        'default_activities': {'key': 'typeProperties.defaultActivities', 'type': '[Activity]'},
    }

    def __init__(
        self,
        *,
        name: str,
        on: "Expression",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        cases: Optional[List["SwitchCase"]] = None,
        default_activities: Optional[List["Activity"]] = None,
        **kwargs
    ):
        super(SwitchActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Switch'  # type: str
        self.on = on
        self.cases = cases
        self.default_activities = default_activities


class SwitchCase(msrest.serialization.Model):
    """Switch cases with have a value and corresponding activities.

    :param value: Expected value that satisfies the expression result of the 'on' property.
    :type value: str
    :param activities: List of activities to execute for satisfied case condition.
    :type activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    """

    _attribute_map = {
        'value': {'key': 'value', 'type': 'str'},
        'activities': {'key': 'activities', 'type': '[Activity]'},
    }

    def __init__(
        self,
        *,
        value: Optional[str] = None,
        activities: Optional[List["Activity"]] = None,
        **kwargs
    ):
        super(SwitchCase, self).__init__(**kwargs)
        self.value = value
        self.activities = activities


class SybaseLinkedService(LinkedService):
    """Linked service for Sybase data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param server: Required. Server name for connection. Type: string (or Expression with
     resultType string).
    :type server: any
    :param database: Required. Database name for connection. Type: string (or Expression with
     resultType string).
    :type database: any
    :param schema: Schema name for connection. Type: string (or Expression with resultType string).
    :type schema: any
    :param authentication_type: AuthenticationType to be used for connection. Possible values
     include: "Basic", "Windows".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.SybaseAuthenticationType
    :param username: Username for authentication. Type: string (or Expression with resultType
     string).
    :type username: any
    :param password: Password for authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'server': {'required': True},
        'database': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
        'schema': {'key': 'typeProperties.schema', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        server: Any,
        database: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        schema: Optional[Any] = None,
        authentication_type: Optional[Union[str, "SybaseAuthenticationType"]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(SybaseLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Sybase'  # type: str
        self.server = server
        self.database = database
        self.schema = schema
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.encrypted_credential = encrypted_credential


class SybaseSource(TabularSource):
    """A copy activity source for Sybase databases.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Database query. Type: string (or Expression with resultType string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(SybaseSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'SybaseSource'  # type: str
        self.query = query


class SybaseTableDataset(Dataset):
    """The Sybase table dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The Sybase table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(SybaseTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'SybaseTable'  # type: str
        self.table_name = table_name


class SynapseNotebookActivity(ExecutionActivity):
    """Execute Synapse notebook activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param notebook: Required. Synapse notebook reference.
    :type notebook: ~azure.synapse.artifacts.v2020_12_01.models.SynapseNotebookReference
    :param parameters: Notebook parameters.
    :type parameters: dict[str, any]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'notebook': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'notebook': {'key': 'typeProperties.notebook', 'type': 'SynapseNotebookReference'},
        'parameters': {'key': 'typeProperties.parameters', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        name: str,
        notebook: "SynapseNotebookReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        parameters: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(SynapseNotebookActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'SynapseNotebook'  # type: str
        self.notebook = notebook
        self.parameters = parameters


class SynapseNotebookReference(msrest.serialization.Model):
    """Synapse notebook reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Synapse notebook reference type. Possible values include:
     "NotebookReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.NotebookReferenceType
    :param reference_name: Required. Reference notebook name.
    :type reference_name: str
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "NotebookReferenceType"],
        reference_name: str,
        **kwargs
    ):
        super(SynapseNotebookReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name


class SynapseSparkJobDefinitionActivity(ExecutionActivity):
    """Execute spark job activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param spark_job: Required. Synapse spark job reference.
    :type spark_job: ~azure.synapse.artifacts.v2020_12_01.models.SynapseSparkJobReference
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'spark_job': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'spark_job': {'key': 'typeProperties.sparkJob', 'type': 'SynapseSparkJobReference'},
    }

    def __init__(
        self,
        *,
        name: str,
        spark_job: "SynapseSparkJobReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        **kwargs
    ):
        super(SynapseSparkJobDefinitionActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'SparkJob'  # type: str
        self.spark_job = spark_job


class SynapseSparkJobReference(msrest.serialization.Model):
    """Synapse spark job reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Synapse spark job reference type. Possible values include:
     "SparkJobDefinitionReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.SparkJobReferenceType
    :param reference_name: Required. Reference spark job name.
    :type reference_name: str
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "SparkJobReferenceType"],
        reference_name: str,
        **kwargs
    ):
        super(SynapseSparkJobReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name


class TabularTranslator(CopyTranslator):
    """A copy activity tabular translator.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy translator type.Constant filled by server.
    :type type: str
    :param column_mappings: Column mappings. Example: "UserId: MyUserId, Group: MyGroup, Name:
     MyName" Type: string (or Expression with resultType string). This property will be retired.
     Please use mappings property.
    :type column_mappings: any
    :param schema_mapping: The schema mapping to map between tabular data and hierarchical data.
     Example: {"Column1": "$.Column1", "Column2": "$.Column2.Property1", "Column3":
     "$.Column2.Property2"}. Type: object (or Expression with resultType object). This property will
     be retired. Please use mappings property.
    :type schema_mapping: any
    :param collection_reference: The JSON Path of the Nested Array that is going to do cross-apply.
     Type: object (or Expression with resultType object).
    :type collection_reference: any
    :param map_complex_values_to_string: Whether to map complex (array and object) values to simple
     strings in json format. Type: boolean (or Expression with resultType boolean).
    :type map_complex_values_to_string: any
    :param mappings: Column mappings with logical types. Tabular->tabular example:
     [{"source":{"name":"CustomerName","type":"String"},"sink":{"name":"ClientName","type":"String"}},{"source":{"name":"CustomerAddress","type":"String"},"sink":{"name":"ClientAddress","type":"String"}}].
     Hierarchical->tabular example:
     [{"source":{"path":"$.CustomerName","type":"String"},"sink":{"name":"ClientName","type":"String"}},{"source":{"path":"$.CustomerAddress","type":"String"},"sink":{"name":"ClientAddress","type":"String"}}].
     Type: object (or Expression with resultType object).
    :type mappings: any
    :param type_conversion: Whether to enable the advanced type conversion feature in the Copy
     activity. Type: boolean (or Expression with resultType boolean).
    :type type_conversion: any
    :param type_conversion_settings: Type conversion settings.
    :type type_conversion_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.TypeConversionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'column_mappings': {'key': 'columnMappings', 'type': 'object'},
        'schema_mapping': {'key': 'schemaMapping', 'type': 'object'},
        'collection_reference': {'key': 'collectionReference', 'type': 'object'},
        'map_complex_values_to_string': {'key': 'mapComplexValuesToString', 'type': 'object'},
        'mappings': {'key': 'mappings', 'type': 'object'},
        'type_conversion': {'key': 'typeConversion', 'type': 'object'},
        'type_conversion_settings': {'key': 'typeConversionSettings', 'type': 'TypeConversionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        column_mappings: Optional[Any] = None,
        schema_mapping: Optional[Any] = None,
        collection_reference: Optional[Any] = None,
        map_complex_values_to_string: Optional[Any] = None,
        mappings: Optional[Any] = None,
        type_conversion: Optional[Any] = None,
        type_conversion_settings: Optional["TypeConversionSettings"] = None,
        **kwargs
    ):
        super(TabularTranslator, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'TabularTranslator'  # type: str
        self.column_mappings = column_mappings
        self.schema_mapping = schema_mapping
        self.collection_reference = collection_reference
        self.map_complex_values_to_string = map_complex_values_to_string
        self.mappings = mappings
        self.type_conversion = type_conversion
        self.type_conversion_settings = type_conversion_settings


class TarGZipReadSettings(CompressionReadSettings):
    """The TarGZip compression read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The Compression setting type.Constant filled by server.
    :type type: str
    :param preserve_compression_file_name_as_folder: Preserve the compression file name as folder
     path. Type: boolean (or Expression with resultType boolean).
    :type preserve_compression_file_name_as_folder: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'preserve_compression_file_name_as_folder': {'key': 'preserveCompressionFileNameAsFolder', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        preserve_compression_file_name_as_folder: Optional[Any] = None,
        **kwargs
    ):
        super(TarGZipReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'TarGZipReadSettings'  # type: str
        self.preserve_compression_file_name_as_folder = preserve_compression_file_name_as_folder


class TarReadSettings(CompressionReadSettings):
    """The Tar compression read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The Compression setting type.Constant filled by server.
    :type type: str
    :param preserve_compression_file_name_as_folder: Preserve the compression file name as folder
     path. Type: boolean (or Expression with resultType boolean).
    :type preserve_compression_file_name_as_folder: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'preserve_compression_file_name_as_folder': {'key': 'preserveCompressionFileNameAsFolder', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        preserve_compression_file_name_as_folder: Optional[Any] = None,
        **kwargs
    ):
        super(TarReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'TarReadSettings'  # type: str
        self.preserve_compression_file_name_as_folder = preserve_compression_file_name_as_folder


class TeradataLinkedService(LinkedService):
    """Linked service for Teradata data source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: Teradata ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param server: Server name for connection. Type: string (or Expression with resultType string).
    :type server: any
    :param authentication_type: AuthenticationType to be used for connection. Possible values
     include: "Basic", "Windows".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.TeradataAuthenticationType
    :param username: Username for authentication. Type: string (or Expression with resultType
     string).
    :type username: any
    :param password: Password for authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'server': {'key': 'typeProperties.server', 'type': 'object'},
        'authentication_type': {'key': 'typeProperties.authenticationType', 'type': 'str'},
        'username': {'key': 'typeProperties.username', 'type': 'object'},
        'password': {'key': 'typeProperties.password', 'type': 'SecretBase'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        server: Optional[Any] = None,
        authentication_type: Optional[Union[str, "TeradataAuthenticationType"]] = None,
        username: Optional[Any] = None,
        password: Optional["SecretBase"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(TeradataLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Teradata'  # type: str
        self.connection_string = connection_string
        self.server = server
        self.authentication_type = authentication_type
        self.username = username
        self.password = password
        self.encrypted_credential = encrypted_credential


class TeradataPartitionSettings(msrest.serialization.Model):
    """The settings that will be leveraged for teradata source partitioning.

    :param partition_column_name: The name of the column that will be used for proceeding range or
     hash partitioning. Type: string (or Expression with resultType string).
    :type partition_column_name: any
    :param partition_upper_bound: The maximum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_upper_bound: any
    :param partition_lower_bound: The minimum value of column specified in partitionColumnName that
     will be used for proceeding range partitioning. Type: string (or Expression with resultType
     string).
    :type partition_lower_bound: any
    """

    _attribute_map = {
        'partition_column_name': {'key': 'partitionColumnName', 'type': 'object'},
        'partition_upper_bound': {'key': 'partitionUpperBound', 'type': 'object'},
        'partition_lower_bound': {'key': 'partitionLowerBound', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        partition_column_name: Optional[Any] = None,
        partition_upper_bound: Optional[Any] = None,
        partition_lower_bound: Optional[Any] = None,
        **kwargs
    ):
        super(TeradataPartitionSettings, self).__init__(**kwargs)
        self.partition_column_name = partition_column_name
        self.partition_upper_bound = partition_upper_bound
        self.partition_lower_bound = partition_lower_bound


class TeradataSource(TabularSource):
    """A copy activity Teradata source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: Teradata query. Type: string (or Expression with resultType string).
    :type query: any
    :param partition_option: The partition mechanism that will be used for teradata read in
     parallel. Possible values include: "None", "Hash", "DynamicRange".
    :type partition_option: str or
     ~azure.synapse.artifacts.v2020_12_01.models.TeradataPartitionOption
    :param partition_settings: The settings that will be leveraged for teradata source
     partitioning.
    :type partition_settings: ~azure.synapse.artifacts.v2020_12_01.models.TeradataPartitionSettings
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
        'partition_option': {'key': 'partitionOption', 'type': 'str'},
        'partition_settings': {'key': 'partitionSettings', 'type': 'TeradataPartitionSettings'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        partition_option: Optional[Union[str, "TeradataPartitionOption"]] = None,
        partition_settings: Optional["TeradataPartitionSettings"] = None,
        **kwargs
    ):
        super(TeradataSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'TeradataSource'  # type: str
        self.query = query
        self.partition_option = partition_option
        self.partition_settings = partition_settings


class TeradataTableDataset(Dataset):
    """The Teradata database dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param database: The database name of Teradata. Type: string (or Expression with resultType
     string).
    :type database: any
    :param table: The table name of Teradata. Type: string (or Expression with resultType string).
    :type table: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'database': {'key': 'typeProperties.database', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        database: Optional[Any] = None,
        table: Optional[Any] = None,
        **kwargs
    ):
        super(TeradataTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'TeradataTable'  # type: str
        self.database = database
        self.table = table


class TextFormat(DatasetStorageFormat):
    """The data stored in text format.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset storage format.Constant filled by server.
    :type type: str
    :param serializer: Serializer. Type: string (or Expression with resultType string).
    :type serializer: any
    :param deserializer: Deserializer. Type: string (or Expression with resultType string).
    :type deserializer: any
    :param column_delimiter: The column delimiter. Type: string (or Expression with resultType
     string).
    :type column_delimiter: any
    :param row_delimiter: The row delimiter. Type: string (or Expression with resultType string).
    :type row_delimiter: any
    :param escape_char: The escape character. Type: string (or Expression with resultType string).
    :type escape_char: any
    :param quote_char: The quote character. Type: string (or Expression with resultType string).
    :type quote_char: any
    :param null_value: The null value string. Type: string (or Expression with resultType string).
    :type null_value: any
    :param encoding_name: The code page name of the preferred encoding. If miss, the default value
     is ΓÇ£utf-8ΓÇ¥, unless BOM denotes another Unicode encoding. Refer to the ΓÇ£NameΓÇ¥ column of
     the table in the following link to set supported values:
     https://msdn.microsoft.com/library/system.text.encoding.aspx. Type: string (or Expression with
     resultType string).
    :type encoding_name: any
    :param treat_empty_as_null: Treat empty column values in the text file as null. The default
     value is true. Type: boolean (or Expression with resultType boolean).
    :type treat_empty_as_null: any
    :param skip_line_count: The number of lines/rows to be skipped when parsing text files. The
     default value is 0. Type: integer (or Expression with resultType integer).
    :type skip_line_count: any
    :param first_row_as_header: When used as input, treat the first row of data as headers. When
     used as output,write the headers into the output as the first row of data. The default value is
     false. Type: boolean (or Expression with resultType boolean).
    :type first_row_as_header: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'serializer': {'key': 'serializer', 'type': 'object'},
        'deserializer': {'key': 'deserializer', 'type': 'object'},
        'column_delimiter': {'key': 'columnDelimiter', 'type': 'object'},
        'row_delimiter': {'key': 'rowDelimiter', 'type': 'object'},
        'escape_char': {'key': 'escapeChar', 'type': 'object'},
        'quote_char': {'key': 'quoteChar', 'type': 'object'},
        'null_value': {'key': 'nullValue', 'type': 'object'},
        'encoding_name': {'key': 'encodingName', 'type': 'object'},
        'treat_empty_as_null': {'key': 'treatEmptyAsNull', 'type': 'object'},
        'skip_line_count': {'key': 'skipLineCount', 'type': 'object'},
        'first_row_as_header': {'key': 'firstRowAsHeader', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        serializer: Optional[Any] = None,
        deserializer: Optional[Any] = None,
        column_delimiter: Optional[Any] = None,
        row_delimiter: Optional[Any] = None,
        escape_char: Optional[Any] = None,
        quote_char: Optional[Any] = None,
        null_value: Optional[Any] = None,
        encoding_name: Optional[Any] = None,
        treat_empty_as_null: Optional[Any] = None,
        skip_line_count: Optional[Any] = None,
        first_row_as_header: Optional[Any] = None,
        **kwargs
    ):
        super(TextFormat, self).__init__(additional_properties=additional_properties, serializer=serializer, deserializer=deserializer, **kwargs)
        self.type = 'TextFormat'  # type: str
        self.column_delimiter = column_delimiter
        self.row_delimiter = row_delimiter
        self.escape_char = escape_char
        self.quote_char = quote_char
        self.null_value = null_value
        self.encoding_name = encoding_name
        self.treat_empty_as_null = treat_empty_as_null
        self.skip_line_count = skip_line_count
        self.first_row_as_header = first_row_as_header


class TriggerDependencyProvisioningStatus(msrest.serialization.Model):
    """Defines the response of a provision trigger dependency operation.

    All required parameters must be populated in order to send to Azure.

    :param trigger_name: Required. Trigger name.
    :type trigger_name: str
    :param provisioning_status: Required. Provisioning status.
    :type provisioning_status: str
    """

    _validation = {
        'trigger_name': {'required': True},
        'provisioning_status': {'required': True},
    }

    _attribute_map = {
        'trigger_name': {'key': 'triggerName', 'type': 'str'},
        'provisioning_status': {'key': 'provisioningStatus', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        trigger_name: str,
        provisioning_status: str,
        **kwargs
    ):
        super(TriggerDependencyProvisioningStatus, self).__init__(**kwargs)
        self.trigger_name = trigger_name
        self.provisioning_status = provisioning_status


class TriggerDependencyReference(DependencyReference):
    """Trigger referenced dependency.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: TumblingWindowTriggerDependencyReference.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. The type of dependency reference.Constant filled by server.
    :type type: str
    :param reference_trigger: Required. Referenced trigger.
    :type reference_trigger: ~azure.synapse.artifacts.v2020_12_01.models.TriggerReference
    """

    _validation = {
        'type': {'required': True},
        'reference_trigger': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_trigger': {'key': 'referenceTrigger', 'type': 'TriggerReference'},
    }

    _subtype_map = {
        'type': {'TumblingWindowTriggerDependencyReference': 'TumblingWindowTriggerDependencyReference'}
    }

    def __init__(
        self,
        *,
        reference_trigger: "TriggerReference",
        **kwargs
    ):
        super(TriggerDependencyReference, self).__init__(**kwargs)
        self.type = 'TriggerDependencyReference'  # type: str
        self.reference_trigger = reference_trigger


class TriggerListResponse(msrest.serialization.Model):
    """A list of trigger resources.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of triggers.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerResource]
    :param next_link: The link to the next page of results, if any remaining results exist.
    :type next_link: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[TriggerResource]'},
        'next_link': {'key': 'nextLink', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["TriggerResource"],
        next_link: Optional[str] = None,
        **kwargs
    ):
        super(TriggerListResponse, self).__init__(**kwargs)
        self.value = value
        self.next_link = next_link


class TriggerPipelineReference(msrest.serialization.Model):
    """Pipeline that needs to be triggered with the given parameters.

    :param pipeline_reference: Pipeline reference.
    :type pipeline_reference: ~azure.synapse.artifacts.v2020_12_01.models.PipelineReference
    :param parameters: Pipeline parameters.
    :type parameters: dict[str, any]
    """

    _attribute_map = {
        'pipeline_reference': {'key': 'pipelineReference', 'type': 'PipelineReference'},
        'parameters': {'key': 'parameters', 'type': '{object}'},
    }

    def __init__(
        self,
        *,
        pipeline_reference: Optional["PipelineReference"] = None,
        parameters: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(TriggerPipelineReference, self).__init__(**kwargs)
        self.pipeline_reference = pipeline_reference
        self.parameters = parameters


class TriggerReference(msrest.serialization.Model):
    """Trigger reference type.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Trigger reference type. Possible values include: "TriggerReference".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerReferenceType
    :param reference_name: Required. Reference trigger name.
    :type reference_name: str
    """

    _validation = {
        'type': {'required': True},
        'reference_name': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_name': {'key': 'referenceName', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "TriggerReferenceType"],
        reference_name: str,
        **kwargs
    ):
        super(TriggerReference, self).__init__(**kwargs)
        self.type = type
        self.reference_name = reference_name


class TriggerResource(SubResource):
    """Trigger resource type.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :ivar etag: Resource Etag.
    :vartype etag: str
    :param properties: Required. Properties of the trigger.
    :type properties: ~azure.synapse.artifacts.v2020_12_01.models.Trigger
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'etag': {'readonly': True},
        'properties': {'required': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'etag': {'key': 'etag', 'type': 'str'},
        'properties': {'key': 'properties', 'type': 'Trigger'},
    }

    def __init__(
        self,
        *,
        properties: "Trigger",
        **kwargs
    ):
        super(TriggerResource, self).__init__(**kwargs)
        self.properties = properties


class TriggerRun(msrest.serialization.Model):
    """Trigger runs.

    Variables are only populated by the server, and will be ignored when sending a request.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :ivar trigger_run_id: Trigger run id.
    :vartype trigger_run_id: str
    :ivar trigger_name: Trigger name.
    :vartype trigger_name: str
    :ivar trigger_type: Trigger type.
    :vartype trigger_type: str
    :ivar trigger_run_timestamp: Trigger run start time.
    :vartype trigger_run_timestamp: ~datetime.datetime
    :ivar status: Trigger run status. Possible values include: "Succeeded", "Failed", "Inprogress".
    :vartype status: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRunStatus
    :ivar message: Trigger error message.
    :vartype message: str
    :ivar properties: List of property name and value related to trigger run. Name, value pair
     depends on type of trigger.
    :vartype properties: dict[str, str]
    :ivar triggered_pipelines: List of pipeline name and run Id triggered by the trigger run.
    :vartype triggered_pipelines: dict[str, str]
    """

    _validation = {
        'trigger_run_id': {'readonly': True},
        'trigger_name': {'readonly': True},
        'trigger_type': {'readonly': True},
        'trigger_run_timestamp': {'readonly': True},
        'status': {'readonly': True},
        'message': {'readonly': True},
        'properties': {'readonly': True},
        'triggered_pipelines': {'readonly': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'trigger_run_id': {'key': 'triggerRunId', 'type': 'str'},
        'trigger_name': {'key': 'triggerName', 'type': 'str'},
        'trigger_type': {'key': 'triggerType', 'type': 'str'},
        'trigger_run_timestamp': {'key': 'triggerRunTimestamp', 'type': 'iso-8601'},
        'status': {'key': 'status', 'type': 'str'},
        'message': {'key': 'message', 'type': 'str'},
        'properties': {'key': 'properties', 'type': '{str}'},
        'triggered_pipelines': {'key': 'triggeredPipelines', 'type': '{str}'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        **kwargs
    ):
        super(TriggerRun, self).__init__(**kwargs)
        self.additional_properties = additional_properties
        self.trigger_run_id = None
        self.trigger_name = None
        self.trigger_type = None
        self.trigger_run_timestamp = None
        self.status = None
        self.message = None
        self.properties = None
        self.triggered_pipelines = None


class TriggerRunsQueryResponse(msrest.serialization.Model):
    """A list of trigger runs.

    All required parameters must be populated in order to send to Azure.

    :param value: Required. List of trigger runs.
    :type value: list[~azure.synapse.artifacts.v2020_12_01.models.TriggerRun]
    :param continuation_token: The continuation token for getting the next page of results, if any
     remaining results exist, null otherwise.
    :type continuation_token: str
    """

    _validation = {
        'value': {'required': True},
    }

    _attribute_map = {
        'value': {'key': 'value', 'type': '[TriggerRun]'},
        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        value: List["TriggerRun"],
        continuation_token: Optional[str] = None,
        **kwargs
    ):
        super(TriggerRunsQueryResponse, self).__init__(**kwargs)
        self.value = value
        self.continuation_token = continuation_token


class TriggerSubscriptionOperationStatus(msrest.serialization.Model):
    """Defines the response of a trigger subscription operation.

    Variables are only populated by the server, and will be ignored when sending a request.

    :ivar trigger_name: Trigger name.
    :vartype trigger_name: str
    :ivar status: Event Subscription Status. Possible values include: "Enabled", "Provisioning",
     "Deprovisioning", "Disabled", "Unknown".
    :vartype status: str or ~azure.synapse.artifacts.v2020_12_01.models.EventSubscriptionStatus
    """

    _validation = {
        'trigger_name': {'readonly': True},
        'status': {'readonly': True},
    }

    _attribute_map = {
        'trigger_name': {'key': 'triggerName', 'type': 'str'},
        'status': {'key': 'status', 'type': 'str'},
    }

    def __init__(
        self,
        **kwargs
    ):
        super(TriggerSubscriptionOperationStatus, self).__init__(**kwargs)
        self.trigger_name = None
        self.status = None


class TumblingWindowTrigger(Trigger):
    """Trigger that schedules pipeline runs for all fixed time interval windows from a start time without gaps and also supports backfill scenarios (when start time is in the past).

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Trigger type.Constant filled by server.
    :type type: str
    :param description: Trigger description.
    :type description: str
    :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are
     called on the Trigger. Possible values include: "Started", "Stopped", "Disabled".
    :vartype runtime_state: str or ~azure.synapse.artifacts.v2020_12_01.models.TriggerRuntimeState
    :param annotations: List of tags that can be used for describing the trigger.
    :type annotations: list[any]
    :param pipeline: Required. Pipeline for which runs are created when an event is fired for
     trigger window that is ready.
    :type pipeline: ~azure.synapse.artifacts.v2020_12_01.models.TriggerPipelineReference
    :param frequency: Required. The frequency of the time windows. Possible values include:
     "Minute", "Hour", "Month".
    :type frequency: str or ~azure.synapse.artifacts.v2020_12_01.models.TumblingWindowFrequency
    :param interval: Required. The interval of the time windows. The minimum interval allowed is 15
     Minutes.
    :type interval: int
    :param start_time: Required. The start time for the time period for the trigger during which
     events are fired for windows that are ready. Only UTC time is currently supported.
    :type start_time: ~datetime.datetime
    :param end_time: The end time for the time period for the trigger during which events are fired
     for windows that are ready. Only UTC time is currently supported.
    :type end_time: ~datetime.datetime
    :param delay: Specifies how long the trigger waits past due time before triggering new run. It
     doesn't alter window start and end time. The default is 0. Type: string (or Expression with
     resultType string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type delay: any
    :param max_concurrency: Required. The max number of parallel time windows (ready for execution)
     for which a new run is triggered.
    :type max_concurrency: int
    :param retry_policy: Retry policy that will be applied for failed pipeline runs.
    :type retry_policy: ~azure.synapse.artifacts.v2020_12_01.models.RetryPolicy
    :param depends_on: Triggers that this trigger depends on. Only tumbling window triggers are
     supported.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.DependencyReference]
    """

    _validation = {
        'type': {'required': True},
        'runtime_state': {'readonly': True},
        'pipeline': {'required': True},
        'frequency': {'required': True},
        'interval': {'required': True},
        'start_time': {'required': True},
        'max_concurrency': {'required': True, 'maximum': 50, 'minimum': 1},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'runtime_state': {'key': 'runtimeState', 'type': 'str'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'pipeline': {'key': 'pipeline', 'type': 'TriggerPipelineReference'},
        'frequency': {'key': 'typeProperties.frequency', 'type': 'str'},
        'interval': {'key': 'typeProperties.interval', 'type': 'int'},
        'start_time': {'key': 'typeProperties.startTime', 'type': 'iso-8601'},
        'end_time': {'key': 'typeProperties.endTime', 'type': 'iso-8601'},
        'delay': {'key': 'typeProperties.delay', 'type': 'object'},
        'max_concurrency': {'key': 'typeProperties.maxConcurrency', 'type': 'int'},
        'retry_policy': {'key': 'typeProperties.retryPolicy', 'type': 'RetryPolicy'},
        'depends_on': {'key': 'typeProperties.dependsOn', 'type': '[DependencyReference]'},
    }

    def __init__(
        self,
        *,
        pipeline: "TriggerPipelineReference",
        frequency: Union[str, "TumblingWindowFrequency"],
        interval: int,
        start_time: datetime.datetime,
        max_concurrency: int,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        annotations: Optional[List[Any]] = None,
        end_time: Optional[datetime.datetime] = None,
        delay: Optional[Any] = None,
        retry_policy: Optional["RetryPolicy"] = None,
        depends_on: Optional[List["DependencyReference"]] = None,
        **kwargs
    ):
        super(TumblingWindowTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, **kwargs)
        self.type = 'TumblingWindowTrigger'  # type: str
        self.pipeline = pipeline
        self.frequency = frequency
        self.interval = interval
        self.start_time = start_time
        self.end_time = end_time
        self.delay = delay
        self.max_concurrency = max_concurrency
        self.retry_policy = retry_policy
        self.depends_on = depends_on


class TumblingWindowTriggerDependencyReference(TriggerDependencyReference):
    """Referenced tumbling window trigger dependency.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. The type of dependency reference.Constant filled by server.
    :type type: str
    :param reference_trigger: Required. Referenced trigger.
    :type reference_trigger: ~azure.synapse.artifacts.v2020_12_01.models.TriggerReference
    :param offset: Timespan applied to the start time of a tumbling window when evaluating
     dependency.
    :type offset: str
    :param size: The size of the window when evaluating the dependency. If undefined the frequency
     of the tumbling window will be used.
    :type size: str
    """

    _validation = {
        'type': {'required': True},
        'reference_trigger': {'required': True},
        'offset': {'max_length': 15, 'min_length': 8, 'pattern': r'-?((\d+)\.)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9]))'},
        'size': {'max_length': 15, 'min_length': 8, 'pattern': r'((\d+)\.)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9]))'},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'reference_trigger': {'key': 'referenceTrigger', 'type': 'TriggerReference'},
        'offset': {'key': 'offset', 'type': 'str'},
        'size': {'key': 'size', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        reference_trigger: "TriggerReference",
        offset: Optional[str] = None,
        size: Optional[str] = None,
        **kwargs
    ):
        super(TumblingWindowTriggerDependencyReference, self).__init__(reference_trigger=reference_trigger, **kwargs)
        self.type = 'TumblingWindowTriggerDependencyReference'  # type: str
        self.offset = offset
        self.size = size


class TypeConversionSettings(msrest.serialization.Model):
    """Type conversion settings.

    :param allow_data_truncation: Whether to allow data truncation when converting the data. Type:
     boolean (or Expression with resultType boolean).
    :type allow_data_truncation: any
    :param treat_boolean_as_number: Whether to treat boolean values as numbers. Type: boolean (or
     Expression with resultType boolean).
    :type treat_boolean_as_number: any
    :param date_time_format: The format for DateTime values. Type: string (or Expression with
     resultType string).
    :type date_time_format: any
    :param date_time_offset_format: The format for DateTimeOffset values. Type: string (or
     Expression with resultType string).
    :type date_time_offset_format: any
    :param time_span_format: The format for TimeSpan values. Type: string (or Expression with
     resultType string).
    :type time_span_format: any
    :param culture: The culture used to convert data from/to string. Type: string (or Expression
     with resultType string).
    :type culture: any
    """

    _attribute_map = {
        'allow_data_truncation': {'key': 'allowDataTruncation', 'type': 'object'},
        'treat_boolean_as_number': {'key': 'treatBooleanAsNumber', 'type': 'object'},
        'date_time_format': {'key': 'dateTimeFormat', 'type': 'object'},
        'date_time_offset_format': {'key': 'dateTimeOffsetFormat', 'type': 'object'},
        'time_span_format': {'key': 'timeSpanFormat', 'type': 'object'},
        'culture': {'key': 'culture', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        allow_data_truncation: Optional[Any] = None,
        treat_boolean_as_number: Optional[Any] = None,
        date_time_format: Optional[Any] = None,
        date_time_offset_format: Optional[Any] = None,
        time_span_format: Optional[Any] = None,
        culture: Optional[Any] = None,
        **kwargs
    ):
        super(TypeConversionSettings, self).__init__(**kwargs)
        self.allow_data_truncation = allow_data_truncation
        self.treat_boolean_as_number = treat_boolean_as_number
        self.date_time_format = date_time_format
        self.date_time_offset_format = date_time_offset_format
        self.time_span_format = time_span_format
        self.culture = culture


class UntilActivity(ControlActivity):
    """This activity executes inner activities until the specified boolean expression results to true or timeout is reached, whichever is earlier.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param expression: Required. An expression that would evaluate to Boolean. The loop will
     continue until this expression evaluates to true.
    :type expression: ~azure.synapse.artifacts.v2020_12_01.models.Expression
    :param timeout: Specifies the timeout for the activity to run. If there is no value specified,
     it takes the value of TimeSpan.FromDays(7) which is 1 week as default. Type: string (or
     Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])). Type: string (or Expression with
     resultType string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type timeout: any
    :param activities: Required. List of activities to execute.
    :type activities: list[~azure.synapse.artifacts.v2020_12_01.models.Activity]
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'expression': {'required': True},
        'activities': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'expression': {'key': 'typeProperties.expression', 'type': 'Expression'},
        'timeout': {'key': 'typeProperties.timeout', 'type': 'object'},
        'activities': {'key': 'typeProperties.activities', 'type': '[Activity]'},
    }

    def __init__(
        self,
        *,
        name: str,
        expression: "Expression",
        activities: List["Activity"],
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        timeout: Optional[Any] = None,
        **kwargs
    ):
        super(UntilActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Until'  # type: str
        self.expression = expression
        self.timeout = timeout
        self.activities = activities


class UserProperty(msrest.serialization.Model):
    """User property.

    All required parameters must be populated in order to send to Azure.

    :param name: Required. User property name.
    :type name: str
    :param value: Required. User property value. Type: string (or Expression with resultType
     string).
    :type value: any
    """

    _validation = {
        'name': {'required': True},
        'value': {'required': True},
    }

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'value': {'key': 'value', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        value: Any,
        **kwargs
    ):
        super(UserProperty, self).__init__(**kwargs)
        self.name = name
        self.value = value


class ValidationActivity(ControlActivity):
    """This activity verifies that an external resource exists.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param timeout: Specifies the timeout for the activity to run. If there is no value specified,
     it takes the value of TimeSpan.FromDays(7) which is 1 week as default. Type: string (or
     Expression with resultType string), pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type timeout: any
    :param sleep: A delay in seconds between validation attempts. If no value is specified, 10
     seconds will be used as the default. Type: integer (or Expression with resultType integer).
    :type sleep: any
    :param minimum_size: Can be used if dataset points to a file. The file must be greater than or
     equal in size to the value specified. Type: integer (or Expression with resultType integer).
    :type minimum_size: any
    :param child_items: Can be used if dataset points to a folder. If set to true, the folder must
     have at least one file. If set to false, the folder must be empty. Type: boolean (or Expression
     with resultType boolean).
    :type child_items: any
    :param dataset: Required. Validation activity dataset reference.
    :type dataset: ~azure.synapse.artifacts.v2020_12_01.models.DatasetReference
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'dataset': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'timeout': {'key': 'typeProperties.timeout', 'type': 'object'},
        'sleep': {'key': 'typeProperties.sleep', 'type': 'object'},
        'minimum_size': {'key': 'typeProperties.minimumSize', 'type': 'object'},
        'child_items': {'key': 'typeProperties.childItems', 'type': 'object'},
        'dataset': {'key': 'typeProperties.dataset', 'type': 'DatasetReference'},
    }

    def __init__(
        self,
        *,
        name: str,
        dataset: "DatasetReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        timeout: Optional[Any] = None,
        sleep: Optional[Any] = None,
        minimum_size: Optional[Any] = None,
        child_items: Optional[Any] = None,
        **kwargs
    ):
        super(ValidationActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Validation'  # type: str
        self.timeout = timeout
        self.sleep = sleep
        self.minimum_size = minimum_size
        self.child_items = child_items
        self.dataset = dataset


class VariableSpecification(msrest.serialization.Model):
    """Definition of a single variable for a Pipeline.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Variable type. Possible values include: "String", "Bool", "Boolean",
     "Array".
    :type type: str or ~azure.synapse.artifacts.v2020_12_01.models.VariableType
    :param default_value: Default value of variable.
    :type default_value: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'default_value': {'key': 'defaultValue', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        type: Union[str, "VariableType"],
        default_value: Optional[Any] = None,
        **kwargs
    ):
        super(VariableSpecification, self).__init__(**kwargs)
        self.type = type
        self.default_value = default_value


class VerticaLinkedService(LinkedService):
    """Vertica linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_string: An ODBC connection string. Type: string, SecureString or
     AzureKeyVaultSecretReference.
    :type connection_string: any
    :param pwd: The Azure key vault secret reference of password in connection string.
    :type pwd: ~azure.synapse.artifacts.v2020_12_01.models.AzureKeyVaultSecretReference
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_string': {'key': 'typeProperties.connectionString', 'type': 'object'},
        'pwd': {'key': 'typeProperties.pwd', 'type': 'AzureKeyVaultSecretReference'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_string: Optional[Any] = None,
        pwd: Optional["AzureKeyVaultSecretReference"] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(VerticaLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Vertica'  # type: str
        self.connection_string = connection_string
        self.pwd = pwd
        self.encrypted_credential = encrypted_credential


class VerticaSource(TabularSource):
    """A copy activity Vertica source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(VerticaSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'VerticaSource'  # type: str
        self.query = query


class VerticaTableDataset(Dataset):
    """Vertica dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: This property will be retired. Please consider using schema + table
     properties instead.
    :type table_name: any
    :param table: The table name of the Vertica. Type: string (or Expression with resultType
     string).
    :type table: any
    :param schema_type_properties_schema: The schema name of the Vertica. Type: string (or
     Expression with resultType string).
    :type schema_type_properties_schema: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
        'table': {'key': 'typeProperties.table', 'type': 'object'},
        'schema_type_properties_schema': {'key': 'typeProperties.schema', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        table: Optional[Any] = None,
        schema_type_properties_schema: Optional[Any] = None,
        **kwargs
    ):
        super(VerticaTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'VerticaTable'  # type: str
        self.table_name = table_name
        self.table = table
        self.schema_type_properties_schema = schema_type_properties_schema


class VirtualNetworkProfile(msrest.serialization.Model):
    """Virtual Network Profile.

    :param compute_subnet_id: Subnet ID used for computes in workspace.
    :type compute_subnet_id: str
    """

    _attribute_map = {
        'compute_subnet_id': {'key': 'computeSubnetId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        compute_subnet_id: Optional[str] = None,
        **kwargs
    ):
        super(VirtualNetworkProfile, self).__init__(**kwargs)
        self.compute_subnet_id = compute_subnet_id


class WaitActivity(ControlActivity):
    """This activity suspends pipeline execution for the specified interval.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param wait_time_in_seconds: Required. Duration in seconds.
    :type wait_time_in_seconds: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'wait_time_in_seconds': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'wait_time_in_seconds': {'key': 'typeProperties.waitTimeInSeconds', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        wait_time_in_seconds: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        **kwargs
    ):
        super(WaitActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'Wait'  # type: str
        self.wait_time_in_seconds = wait_time_in_seconds


class WebActivity(ExecutionActivity):
    """Web activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param linked_service_name: Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param policy: Activity policy.
    :type policy: ~azure.synapse.artifacts.v2020_12_01.models.ActivityPolicy
    :param method: Required. Rest API method for target endpoint. Possible values include: "GET",
     "POST", "PUT", "DELETE".
    :type method: str or ~azure.synapse.artifacts.v2020_12_01.models.WebActivityMethod
    :param url: Required. Web activity target endpoint and path. Type: string (or Expression with
     resultType string).
    :type url: any
    :param headers: Represents the headers that will be sent to the request. For example, to set
     the language and type on a request: "headers" : { "Accept-Language": "en-us", "Content-Type":
     "application/json" }. Type: string (or Expression with resultType string).
    :type headers: any
    :param body: Represents the payload that will be sent to the endpoint. Required for POST/PUT
     method, not allowed for GET method Type: string (or Expression with resultType string).
    :type body: any
    :param authentication: Authentication method used for calling the endpoint.
    :type authentication: ~azure.synapse.artifacts.v2020_12_01.models.WebActivityAuthentication
    :param datasets: List of datasets passed to web endpoint.
    :type datasets: list[~azure.synapse.artifacts.v2020_12_01.models.DatasetReference]
    :param linked_services: List of linked services passed to web endpoint.
    :type linked_services: list[~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference]
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'method': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'policy': {'key': 'policy', 'type': 'ActivityPolicy'},
        'method': {'key': 'typeProperties.method', 'type': 'str'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'headers': {'key': 'typeProperties.headers', 'type': 'object'},
        'body': {'key': 'typeProperties.body', 'type': 'object'},
        'authentication': {'key': 'typeProperties.authentication', 'type': 'WebActivityAuthentication'},
        'datasets': {'key': 'typeProperties.datasets', 'type': '[DatasetReference]'},
        'linked_services': {'key': 'typeProperties.linkedServices', 'type': '[LinkedServiceReference]'},
        'connect_via': {'key': 'typeProperties.connectVia', 'type': 'IntegrationRuntimeReference'},
    }

    def __init__(
        self,
        *,
        name: str,
        method: Union[str, "WebActivityMethod"],
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        linked_service_name: Optional["LinkedServiceReference"] = None,
        policy: Optional["ActivityPolicy"] = None,
        headers: Optional[Any] = None,
        body: Optional[Any] = None,
        authentication: Optional["WebActivityAuthentication"] = None,
        datasets: Optional[List["DatasetReference"]] = None,
        linked_services: Optional[List["LinkedServiceReference"]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        **kwargs
    ):
        super(WebActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs)
        self.type = 'WebActivity'  # type: str
        self.method = method
        self.url = url
        self.headers = headers
        self.body = body
        self.authentication = authentication
        self.datasets = datasets
        self.linked_services = linked_services
        self.connect_via = connect_via


class WebActivityAuthentication(msrest.serialization.Model):
    """Web activity authentication properties.

    All required parameters must be populated in order to send to Azure.

    :param type: Required. Web activity authentication (Basic/ClientCertificate/MSI).
    :type type: str
    :param pfx: Base64-encoded contents of a PFX file.
    :type pfx: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param username: Web activity authentication user name for basic authentication.
    :type username: str
    :param password: Password for the PFX file or basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param resource: Resource for which Azure Auth token will be requested when using MSI
     Authentication.
    :type resource: str
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'pfx': {'key': 'pfx', 'type': 'SecretBase'},
        'username': {'key': 'username', 'type': 'str'},
        'password': {'key': 'password', 'type': 'SecretBase'},
        'resource': {'key': 'resource', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        type: str,
        pfx: Optional["SecretBase"] = None,
        username: Optional[str] = None,
        password: Optional["SecretBase"] = None,
        resource: Optional[str] = None,
        **kwargs
    ):
        super(WebActivityAuthentication, self).__init__(**kwargs)
        self.type = type
        self.pfx = pfx
        self.username = username
        self.password = password
        self.resource = resource


class WebLinkedServiceTypeProperties(msrest.serialization.Model):
    """Base definition of WebLinkedServiceTypeProperties, this typeProperties is polymorphic based on authenticationType, so not flattened in SDK models.

    You probably want to use the sub-classes and not this class directly. Known
    sub-classes are: WebAnonymousAuthentication, WebBasicAuthentication, WebClientCertificateAuthentication.

    All required parameters must be populated in order to send to Azure.

    :param url: Required. The URL of the web service endpoint, e.g. http://www.microsoft.com .
     Type: string (or Expression with resultType string).
    :type url: any
    :param authentication_type: Required. Type of authentication used to connect to the web table
     source.Constant filled by server.  Possible values include: "Basic", "Anonymous",
     "ClientCertificate".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.WebAuthenticationType
    """

    _validation = {
        'url': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'url': {'key': 'url', 'type': 'object'},
        'authentication_type': {'key': 'authenticationType', 'type': 'str'},
    }

    _subtype_map = {
        'authentication_type': {'Anonymous': 'WebAnonymousAuthentication', 'Basic': 'WebBasicAuthentication', 'ClientCertificate': 'WebClientCertificateAuthentication'}
    }

    def __init__(
        self,
        *,
        url: Any,
        **kwargs
    ):
        super(WebLinkedServiceTypeProperties, self).__init__(**kwargs)
        self.url = url
        self.authentication_type = None  # type: Optional[str]


class WebAnonymousAuthentication(WebLinkedServiceTypeProperties):
    """A WebLinkedService that uses anonymous authentication to communicate with an HTTP endpoint.

    All required parameters must be populated in order to send to Azure.

    :param url: Required. The URL of the web service endpoint, e.g. http://www.microsoft.com .
     Type: string (or Expression with resultType string).
    :type url: any
    :param authentication_type: Required. Type of authentication used to connect to the web table
     source.Constant filled by server.  Possible values include: "Basic", "Anonymous",
     "ClientCertificate".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.WebAuthenticationType
    """

    _validation = {
        'url': {'required': True},
        'authentication_type': {'required': True},
    }

    _attribute_map = {
        'url': {'key': 'url', 'type': 'object'},
        'authentication_type': {'key': 'authenticationType', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        url: Any,
        **kwargs
    ):
        super(WebAnonymousAuthentication, self).__init__(url=url, **kwargs)
        self.authentication_type = 'Anonymous'  # type: str


class WebBasicAuthentication(WebLinkedServiceTypeProperties):
    """A WebLinkedService that uses basic authentication to communicate with an HTTP endpoint.

    All required parameters must be populated in order to send to Azure.

    :param url: Required. The URL of the web service endpoint, e.g. http://www.microsoft.com .
     Type: string (or Expression with resultType string).
    :type url: any
    :param authentication_type: Required. Type of authentication used to connect to the web table
     source.Constant filled by server.  Possible values include: "Basic", "Anonymous",
     "ClientCertificate".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.WebAuthenticationType
    :param username: Required. User name for Basic authentication. Type: string (or Expression with
     resultType string).
    :type username: any
    :param password: Required. The password for Basic authentication.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    """

    _validation = {
        'url': {'required': True},
        'authentication_type': {'required': True},
        'username': {'required': True},
        'password': {'required': True},
    }

    _attribute_map = {
        'url': {'key': 'url', 'type': 'object'},
        'authentication_type': {'key': 'authenticationType', 'type': 'str'},
        'username': {'key': 'username', 'type': 'object'},
        'password': {'key': 'password', 'type': 'SecretBase'},
    }

    def __init__(
        self,
        *,
        url: Any,
        username: Any,
        password: "SecretBase",
        **kwargs
    ):
        super(WebBasicAuthentication, self).__init__(url=url, **kwargs)
        self.authentication_type = 'Basic'  # type: str
        self.username = username
        self.password = password


class WebClientCertificateAuthentication(WebLinkedServiceTypeProperties):
    """A WebLinkedService that uses client certificate based authentication to communicate with an HTTP endpoint. This scheme follows mutual authentication; the server must also provide valid credentials to the client.

    All required parameters must be populated in order to send to Azure.

    :param url: Required. The URL of the web service endpoint, e.g. http://www.microsoft.com .
     Type: string (or Expression with resultType string).
    :type url: any
    :param authentication_type: Required. Type of authentication used to connect to the web table
     source.Constant filled by server.  Possible values include: "Basic", "Anonymous",
     "ClientCertificate".
    :type authentication_type: str or
     ~azure.synapse.artifacts.v2020_12_01.models.WebAuthenticationType
    :param pfx: Required. Base64-encoded contents of a PFX file.
    :type pfx: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param password: Required. Password for the PFX file.
    :type password: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    """

    _validation = {
        'url': {'required': True},
        'authentication_type': {'required': True},
        'pfx': {'required': True},
        'password': {'required': True},
    }

    _attribute_map = {
        'url': {'key': 'url', 'type': 'object'},
        'authentication_type': {'key': 'authenticationType', 'type': 'str'},
        'pfx': {'key': 'pfx', 'type': 'SecretBase'},
        'password': {'key': 'password', 'type': 'SecretBase'},
    }

    def __init__(
        self,
        *,
        url: Any,
        pfx: "SecretBase",
        password: "SecretBase",
        **kwargs
    ):
        super(WebClientCertificateAuthentication, self).__init__(url=url, **kwargs)
        self.authentication_type = 'ClientCertificate'  # type: str
        self.pfx = pfx
        self.password = password


class WebHookActivity(ControlActivity):
    """WebHook activity.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param name: Required. Activity name.
    :type name: str
    :param type: Required. Type of activity.Constant filled by server.
    :type type: str
    :param description: Activity description.
    :type description: str
    :param depends_on: Activity depends on condition.
    :type depends_on: list[~azure.synapse.artifacts.v2020_12_01.models.ActivityDependency]
    :param user_properties: Activity user properties.
    :type user_properties: list[~azure.synapse.artifacts.v2020_12_01.models.UserProperty]
    :param method: Required. Rest API method for target endpoint. Possible values include: "POST".
    :type method: str or ~azure.synapse.artifacts.v2020_12_01.models.WebHookActivityMethod
    :param url: Required. WebHook activity target endpoint and path. Type: string (or Expression
     with resultType string).
    :type url: any
    :param timeout: The timeout within which the webhook should be called back. If there is no
     value specified, it defaults to 10 minutes. Type: string. Pattern:
     ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type timeout: str
    :param headers: Represents the headers that will be sent to the request. For example, to set
     the language and type on a request: "headers" : { "Accept-Language": "en-us", "Content-Type":
     "application/json" }. Type: string (or Expression with resultType string).
    :type headers: any
    :param body: Represents the payload that will be sent to the endpoint. Required for POST/PUT
     method, not allowed for GET method Type: string (or Expression with resultType string).
    :type body: any
    :param authentication: Authentication method used for calling the endpoint.
    :type authentication: ~azure.synapse.artifacts.v2020_12_01.models.WebActivityAuthentication
    :param report_status_on_call_back: When set to true, statusCode, output and error in callback
     request body will be consumed by activity. The activity can be marked as failed by setting
     statusCode >= 400 in callback request. Default is false. Type: boolean (or Expression with
     resultType boolean).
    :type report_status_on_call_back: any
    """

    _validation = {
        'name': {'required': True},
        'type': {'required': True},
        'method': {'required': True},
        'url': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'},
        'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'},
        'method': {'key': 'typeProperties.method', 'type': 'str'},
        'url': {'key': 'typeProperties.url', 'type': 'object'},
        'timeout': {'key': 'typeProperties.timeout', 'type': 'str'},
        'headers': {'key': 'typeProperties.headers', 'type': 'object'},
        'body': {'key': 'typeProperties.body', 'type': 'object'},
        'authentication': {'key': 'typeProperties.authentication', 'type': 'WebActivityAuthentication'},
        'report_status_on_call_back': {'key': 'typeProperties.reportStatusOnCallBack', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        name: str,
        method: Union[str, "WebHookActivityMethod"],
        url: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        depends_on: Optional[List["ActivityDependency"]] = None,
        user_properties: Optional[List["UserProperty"]] = None,
        timeout: Optional[str] = None,
        headers: Optional[Any] = None,
        body: Optional[Any] = None,
        authentication: Optional["WebActivityAuthentication"] = None,
        report_status_on_call_back: Optional[Any] = None,
        **kwargs
    ):
        super(WebHookActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, **kwargs)
        self.type = 'WebHook'  # type: str
        self.method = method
        self.url = url
        self.timeout = timeout
        self.headers = headers
        self.body = body
        self.authentication = authentication
        self.report_status_on_call_back = report_status_on_call_back


class WebLinkedService(LinkedService):
    """Web linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param type_properties: Required. Web linked service properties.
    :type type_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.WebLinkedServiceTypeProperties
    """

    _validation = {
        'type': {'required': True},
        'type_properties': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'type_properties': {'key': 'typeProperties', 'type': 'WebLinkedServiceTypeProperties'},
    }

    def __init__(
        self,
        *,
        type_properties: "WebLinkedServiceTypeProperties",
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        **kwargs
    ):
        super(WebLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Web'  # type: str
        self.type_properties = type_properties


class WebSource(CopySource):
    """A copy activity source for web page table.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(WebSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'WebSource'  # type: str
        self.additional_columns = additional_columns


class WebTableDataset(Dataset):
    """The dataset points to a HTML table in the web page.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param index: Required. The zero-based index of the table in the web page. Type: integer (or
     Expression with resultType integer), minimum: 0.
    :type index: any
    :param path: The relative URL to the web page from the linked service URL. Type: string (or
     Expression with resultType string).
    :type path: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
        'index': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'index': {'key': 'typeProperties.index', 'type': 'object'},
        'path': {'key': 'typeProperties.path', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        index: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        path: Optional[Any] = None,
        **kwargs
    ):
        super(WebTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'WebTable'  # type: str
        self.index = index
        self.path = path


class Workspace(TrackedResource):
    """A workspace.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar id: Fully qualified resource ID for the resource. Ex -
     /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}.
    :vartype id: str
    :ivar name: The name of the resource.
    :vartype name: str
    :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or
     "Microsoft.Storage/storageAccounts".
    :vartype type: str
    :param tags: A set of tags. Resource tags.
    :type tags: dict[str, str]
    :param location: Required. The geo-location where the resource lives.
    :type location: str
    :param identity: Identity of the workspace.
    :type identity: ~azure.synapse.artifacts.v2020_12_01.models.ManagedIdentity
    :param default_data_lake_storage: Workspace default data lake storage account details.
    :type default_data_lake_storage:
     ~azure.synapse.artifacts.v2020_12_01.models.DataLakeStorageAccountDetails
    :param sql_administrator_login_password: SQL administrator login password.
    :type sql_administrator_login_password: str
    :param managed_resource_group_name: Workspace managed resource group. The resource group name
     uniquely identifies the resource group within the user subscriptionId. The resource group name
     must be no longer than 90 characters long, and must be alphanumeric characters
     (Char.IsLetterOrDigit()) and '-', '_', '(', ')' and'.'. Note that the name cannot end with '.'.
    :type managed_resource_group_name: str
    :ivar provisioning_state: Resource provisioning state.
    :vartype provisioning_state: str
    :param sql_administrator_login: Login for workspace SQL active directory administrator.
    :type sql_administrator_login: str
    :param virtual_network_profile: Virtual Network profile.
    :type virtual_network_profile:
     ~azure.synapse.artifacts.v2020_12_01.models.VirtualNetworkProfile
    :param connectivity_endpoints: Connectivity endpoints.
    :type connectivity_endpoints: dict[str, str]
    :param managed_virtual_network: Setting this to 'default' will ensure that all compute for this
     workspace is in a virtual network managed on behalf of the user.
    :type managed_virtual_network: str
    :param private_endpoint_connections: Private endpoint connections to the workspace.
    :type private_endpoint_connections:
     list[~azure.synapse.artifacts.v2020_12_01.models.PrivateEndpointConnection]
    :param encryption: The encryption details of the workspace.
    :type encryption: ~azure.synapse.artifacts.v2020_12_01.models.EncryptionDetails
    :ivar workspace_uid: The workspace unique identifier.
    :vartype workspace_uid: str
    :ivar extra_properties: Workspace level configs and feature flags.
    :vartype extra_properties: dict[str, any]
    :param managed_virtual_network_settings: Managed Virtual Network Settings.
    :type managed_virtual_network_settings:
     ~azure.synapse.artifacts.v2020_12_01.models.ManagedVirtualNetworkSettings
    :param workspace_repository_configuration: Git integration settings.
    :type workspace_repository_configuration:
     ~azure.synapse.artifacts.v2020_12_01.models.WorkspaceRepositoryConfiguration
    :param purview_configuration: Purview Configuration.
    :type purview_configuration: ~azure.synapse.artifacts.v2020_12_01.models.PurviewConfiguration
    :ivar adla_resource_id: The ADLA resource ID.
    :vartype adla_resource_id: str
    """

    _validation = {
        'id': {'readonly': True},
        'name': {'readonly': True},
        'type': {'readonly': True},
        'location': {'required': True},
        'provisioning_state': {'readonly': True},
        'workspace_uid': {'readonly': True},
        'extra_properties': {'readonly': True},
        'adla_resource_id': {'readonly': True},
    }

    _attribute_map = {
        'id': {'key': 'id', 'type': 'str'},
        'name': {'key': 'name', 'type': 'str'},
        'type': {'key': 'type', 'type': 'str'},
        'tags': {'key': 'tags', 'type': '{str}'},
        'location': {'key': 'location', 'type': 'str'},
        'identity': {'key': 'identity', 'type': 'ManagedIdentity'},
        'default_data_lake_storage': {'key': 'properties.defaultDataLakeStorage', 'type': 'DataLakeStorageAccountDetails'},
        'sql_administrator_login_password': {'key': 'properties.sqlAdministratorLoginPassword', 'type': 'str'},
        'managed_resource_group_name': {'key': 'properties.managedResourceGroupName', 'type': 'str'},
        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
        'sql_administrator_login': {'key': 'properties.sqlAdministratorLogin', 'type': 'str'},
        'virtual_network_profile': {'key': 'properties.virtualNetworkProfile', 'type': 'VirtualNetworkProfile'},
        'connectivity_endpoints': {'key': 'properties.connectivityEndpoints', 'type': '{str}'},
        'managed_virtual_network': {'key': 'properties.managedVirtualNetwork', 'type': 'str'},
        'private_endpoint_connections': {'key': 'properties.privateEndpointConnections', 'type': '[PrivateEndpointConnection]'},
        'encryption': {'key': 'properties.encryption', 'type': 'EncryptionDetails'},
        'workspace_uid': {'key': 'properties.workspaceUID', 'type': 'str'},
        'extra_properties': {'key': 'properties.extraProperties', 'type': '{object}'},
        'managed_virtual_network_settings': {'key': 'properties.managedVirtualNetworkSettings', 'type': 'ManagedVirtualNetworkSettings'},
        'workspace_repository_configuration': {'key': 'properties.workspaceRepositoryConfiguration', 'type': 'WorkspaceRepositoryConfiguration'},
        'purview_configuration': {'key': 'properties.purviewConfiguration', 'type': 'PurviewConfiguration'},
        'adla_resource_id': {'key': 'properties.adlaResourceId', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        location: str,
        tags: Optional[Dict[str, str]] = None,
        identity: Optional["ManagedIdentity"] = None,
        default_data_lake_storage: Optional["DataLakeStorageAccountDetails"] = None,
        sql_administrator_login_password: Optional[str] = None,
        managed_resource_group_name: Optional[str] = None,
        sql_administrator_login: Optional[str] = None,
        virtual_network_profile: Optional["VirtualNetworkProfile"] = None,
        connectivity_endpoints: Optional[Dict[str, str]] = None,
        managed_virtual_network: Optional[str] = None,
        private_endpoint_connections: Optional[List["PrivateEndpointConnection"]] = None,
        encryption: Optional["EncryptionDetails"] = None,
        managed_virtual_network_settings: Optional["ManagedVirtualNetworkSettings"] = None,
        workspace_repository_configuration: Optional["WorkspaceRepositoryConfiguration"] = None,
        purview_configuration: Optional["PurviewConfiguration"] = None,
        **kwargs
    ):
        super(Workspace, self).__init__(tags=tags, location=location, **kwargs)
        self.identity = identity
        self.default_data_lake_storage = default_data_lake_storage
        self.sql_administrator_login_password = sql_administrator_login_password
        self.managed_resource_group_name = managed_resource_group_name
        self.provisioning_state = None
        self.sql_administrator_login = sql_administrator_login
        self.virtual_network_profile = virtual_network_profile
        self.connectivity_endpoints = connectivity_endpoints
        self.managed_virtual_network = managed_virtual_network
        self.private_endpoint_connections = private_endpoint_connections
        self.encryption = encryption
        self.workspace_uid = None
        self.extra_properties = None
        self.managed_virtual_network_settings = managed_virtual_network_settings
        self.workspace_repository_configuration = workspace_repository_configuration
        self.purview_configuration = purview_configuration
        self.adla_resource_id = None


class WorkspaceIdentity(msrest.serialization.Model):
    """Identity properties of the workspace resource.

    Variables are only populated by the server, and will be ignored when sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar type: The identity type. Currently the only supported type is 'SystemAssigned'. Has
     constant value: "SystemAssigned".
    :vartype type: str
    :ivar principal_id: The principal id of the identity.
    :vartype principal_id: str
    :ivar tenant_id: The client tenant id of the identity.
    :vartype tenant_id: str
    """

    _validation = {
        'type': {'required': True, 'constant': True},
        'principal_id': {'readonly': True},
        'tenant_id': {'readonly': True},
    }

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'principal_id': {'key': 'principalId', 'type': 'str'},
        'tenant_id': {'key': 'tenantId', 'type': 'str'},
    }

    type = "SystemAssigned"

    def __init__(
        self,
        **kwargs
    ):
        super(WorkspaceIdentity, self).__init__(**kwargs)
        self.principal_id = None
        self.tenant_id = None


class WorkspaceKeyDetails(msrest.serialization.Model):
    """Details of the customer managed key associated with the workspace.

    :param name: Workspace Key sub-resource name.
    :type name: str
    :param key_vault_url: Workspace Key sub-resource key vault url.
    :type key_vault_url: str
    """

    _attribute_map = {
        'name': {'key': 'name', 'type': 'str'},
        'key_vault_url': {'key': 'keyVaultUrl', 'type': 'str'},
    }

    def __init__(
        self,
        *,
        name: Optional[str] = None,
        key_vault_url: Optional[str] = None,
        **kwargs
    ):
        super(WorkspaceKeyDetails, self).__init__(**kwargs)
        self.name = name
        self.key_vault_url = key_vault_url


class WorkspaceRepositoryConfiguration(msrest.serialization.Model):
    """Git integration settings.

    :param type: Type of workspace repositoryID configuration. Example WorkspaceVSTSConfiguration,
     WorkspaceGitHubConfiguration.
    :type type: str
    :param host_name: GitHub Enterprise host name. For example: https://github.mydomain.com.
    :type host_name: str
    :param account_name: Account name.
    :type account_name: str
    :param project_name: VSTS project name.
    :type project_name: str
    :param repository_name: Repository name.
    :type repository_name: str
    :param collaboration_branch: Collaboration branch.
    :type collaboration_branch: str
    :param root_folder: Root folder to use in the repository.
    :type root_folder: str
    :param last_commit_id: The last commit ID.
    :type last_commit_id: str
    :param tenant_id: The VSTS tenant ID.
    :type tenant_id: str
    :param client_id: GitHub bring your own app client id.
    :type client_id: str
    :param client_secret: GitHub bring your own app client secret information.
    :type client_secret: ~azure.synapse.artifacts.v2020_12_01.models.GitHubClientSecret
    """

    _attribute_map = {
        'type': {'key': 'type', 'type': 'str'},
        'host_name': {'key': 'hostName', 'type': 'str'},
        'account_name': {'key': 'accountName', 'type': 'str'},
        'project_name': {'key': 'projectName', 'type': 'str'},
        'repository_name': {'key': 'repositoryName', 'type': 'str'},
        'collaboration_branch': {'key': 'collaborationBranch', 'type': 'str'},
        'root_folder': {'key': 'rootFolder', 'type': 'str'},
        'last_commit_id': {'key': 'lastCommitId', 'type': 'str'},
        'tenant_id': {'key': 'tenantId', 'type': 'str'},
        'client_id': {'key': 'clientId', 'type': 'str'},
        'client_secret': {'key': 'clientSecret', 'type': 'GitHubClientSecret'},
    }

    def __init__(
        self,
        *,
        type: Optional[str] = None,
        host_name: Optional[str] = None,
        account_name: Optional[str] = None,
        project_name: Optional[str] = None,
        repository_name: Optional[str] = None,
        collaboration_branch: Optional[str] = None,
        root_folder: Optional[str] = None,
        last_commit_id: Optional[str] = None,
        tenant_id: Optional[str] = None,
        client_id: Optional[str] = None,
        client_secret: Optional["GitHubClientSecret"] = None,
        **kwargs
    ):
        super(WorkspaceRepositoryConfiguration, self).__init__(**kwargs)
        self.type = type
        self.host_name = host_name
        self.account_name = account_name
        self.project_name = project_name
        self.repository_name = repository_name
        self.collaboration_branch = collaboration_branch
        self.root_folder = root_folder
        self.last_commit_id = last_commit_id
        self.tenant_id = tenant_id
        self.client_id = client_id
        self.client_secret = client_secret


class WorkspaceUpdateParameters(msrest.serialization.Model):
    """Parameters for updating a workspace resource.

    :param tags: A set of tags. The resource tags.
    :type tags: dict[str, str]
    :param identity: Managed service identity of the workspace.
    :type identity: ~azure.synapse.artifacts.v2020_12_01.models.WorkspaceIdentity
    """

    _attribute_map = {
        'tags': {'key': 'tags', 'type': '{str}'},
        'identity': {'key': 'identity', 'type': 'WorkspaceIdentity'},
    }

    def __init__(
        self,
        *,
        tags: Optional[Dict[str, str]] = None,
        identity: Optional["WorkspaceIdentity"] = None,
        **kwargs
    ):
        super(WorkspaceUpdateParameters, self).__init__(**kwargs)
        self.tags = tags
        self.identity = identity


class XeroLinkedService(LinkedService):
    """Xero Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_properties: Properties used to connect to Xero. It is mutually exclusive with
     any other properties in the linked service. Type: object.
    :type connection_properties: any
    :param host: Required. The endpoint of the Xero server. (i.e. api.xero.com).
    :type host: any
    :param consumer_key: The consumer key associated with the Xero application.
    :type consumer_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param private_key: The private key from the .pem file that was generated for your Xero private
     application. You must include all the text from the .pem file, including the Unix line endings(
     ).
    :type private_key: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'host': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_properties': {'key': 'typeProperties.connectionProperties', 'type': 'object'},
        'host': {'key': 'typeProperties.host', 'type': 'object'},
        'consumer_key': {'key': 'typeProperties.consumerKey', 'type': 'SecretBase'},
        'private_key': {'key': 'typeProperties.privateKey', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        host: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_properties: Optional[Any] = None,
        consumer_key: Optional["SecretBase"] = None,
        private_key: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(XeroLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Xero'  # type: str
        self.connection_properties = connection_properties
        self.host = host
        self.consumer_key = consumer_key
        self.private_key = private_key
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class XeroObjectDataset(Dataset):
    """Xero Service dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(XeroObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'XeroObject'  # type: str
        self.table_name = table_name


class XeroSource(TabularSource):
    """A copy activity Xero Service source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(XeroSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'XeroSource'  # type: str
        self.query = query


class XmlDataset(Dataset):
    """Xml dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param location: The location of the json data storage.
    :type location: ~azure.synapse.artifacts.v2020_12_01.models.DatasetLocation
    :param encoding_name: The code page name of the preferred encoding. If not specified, the
     default value is UTF-8, unless BOM denotes another Unicode encoding. Refer to the name column
     of the table in the following link to set supported values:
     https://msdn.microsoft.com/library/system.text.encoding.aspx. Type: string (or Expression with
     resultType string).
    :type encoding_name: any
    :param null_value: The null value string. Type: string (or Expression with resultType string).
    :type null_value: any
    :param compression: The data compression method used for the json dataset.
    :type compression: ~azure.synapse.artifacts.v2020_12_01.models.DatasetCompression
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'location': {'key': 'typeProperties.location', 'type': 'DatasetLocation'},
        'encoding_name': {'key': 'typeProperties.encodingName', 'type': 'object'},
        'null_value': {'key': 'typeProperties.nullValue', 'type': 'object'},
        'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        location: Optional["DatasetLocation"] = None,
        encoding_name: Optional[Any] = None,
        null_value: Optional[Any] = None,
        compression: Optional["DatasetCompression"] = None,
        **kwargs
    ):
        super(XmlDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'Xml'  # type: str
        self.location = location
        self.encoding_name = encoding_name
        self.null_value = null_value
        self.compression = compression


class XmlReadSettings(FormatReadSettings):
    """Xml read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The read setting type.Constant filled by server.
    :type type: str
    :param compression_properties: Compression settings.
    :type compression_properties:
     ~azure.synapse.artifacts.v2020_12_01.models.CompressionReadSettings
    :param validation_mode: Indicates what validation method is used when reading the xml files.
     Allowed values: 'none', 'xsd', or 'dtd'. Type: string (or Expression with resultType string).
    :type validation_mode: any
    :param detect_data_type: Indicates whether type detection is enabled when reading the xml
     files. Type: boolean (or Expression with resultType boolean).
    :type detect_data_type: any
    :param namespaces: Indicates whether namespace is enabled when reading the xml files. Type:
     boolean (or Expression with resultType boolean).
    :type namespaces: any
    :param namespace_prefixes: Namespace uri to prefix mappings to override the prefixes in column
     names when namespace is enabled, if no prefix is defined for a namespace uri, the prefix of xml
     element/attribute name in the xml data file will be used. Example:
     "{"http://www.example.com/xml":"prefix"}" Type: object (or Expression with resultType object).
    :type namespace_prefixes: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'compression_properties': {'key': 'compressionProperties', 'type': 'CompressionReadSettings'},
        'validation_mode': {'key': 'validationMode', 'type': 'object'},
        'detect_data_type': {'key': 'detectDataType', 'type': 'object'},
        'namespaces': {'key': 'namespaces', 'type': 'object'},
        'namespace_prefixes': {'key': 'namespacePrefixes', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        compression_properties: Optional["CompressionReadSettings"] = None,
        validation_mode: Optional[Any] = None,
        detect_data_type: Optional[Any] = None,
        namespaces: Optional[Any] = None,
        namespace_prefixes: Optional[Any] = None,
        **kwargs
    ):
        super(XmlReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'XmlReadSettings'  # type: str
        self.compression_properties = compression_properties
        self.validation_mode = validation_mode
        self.detect_data_type = detect_data_type
        self.namespaces = namespaces
        self.namespace_prefixes = namespace_prefixes


class XmlSource(CopySource):
    """A copy activity Xml source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param store_settings: Xml store settings.
    :type store_settings: ~azure.synapse.artifacts.v2020_12_01.models.StoreReadSettings
    :param format_settings: Xml format settings.
    :type format_settings: ~azure.synapse.artifacts.v2020_12_01.models.XmlReadSettings
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'store_settings': {'key': 'storeSettings', 'type': 'StoreReadSettings'},
        'format_settings': {'key': 'formatSettings', 'type': 'XmlReadSettings'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        store_settings: Optional["StoreReadSettings"] = None,
        format_settings: Optional["XmlReadSettings"] = None,
        additional_columns: Optional[Any] = None,
        **kwargs
    ):
        super(XmlSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
        self.type = 'XmlSource'  # type: str
        self.store_settings = store_settings
        self.format_settings = format_settings
        self.additional_columns = additional_columns


class ZipDeflateReadSettings(CompressionReadSettings):
    """The ZipDeflate compression read settings.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. The Compression setting type.Constant filled by server.
    :type type: str
    :param preserve_zip_file_name_as_folder: Preserve the zip file name as folder path. Type:
     boolean (or Expression with resultType boolean).
    :type preserve_zip_file_name_as_folder: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'preserve_zip_file_name_as_folder': {'key': 'preserveZipFileNameAsFolder', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        preserve_zip_file_name_as_folder: Optional[Any] = None,
        **kwargs
    ):
        super(ZipDeflateReadSettings, self).__init__(additional_properties=additional_properties, **kwargs)
        self.type = 'ZipDeflateReadSettings'  # type: str
        self.preserve_zip_file_name_as_folder = preserve_zip_file_name_as_folder


class ZohoLinkedService(LinkedService):
    """Zoho server linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~azure.synapse.artifacts.v2020_12_01.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[any]
    :param connection_properties: Properties used to connect to Zoho. It is mutually exclusive with
     any other properties in the linked service. Type: object.
    :type connection_properties: any
    :param endpoint: Required. The endpoint of the Zoho server. (i.e. crm.zoho.com/crm/private).
    :type endpoint: any
    :param access_token: The access token for Zoho authentication.
    :type access_token: ~azure.synapse.artifacts.v2020_12_01.models.SecretBase
    :param use_encrypted_endpoints: Specifies whether the data source endpoints are encrypted using
     HTTPS. The default value is true.
    :type use_encrypted_endpoints: any
    :param use_host_verification: Specifies whether to require the host name in the server's
     certificate to match the host name of the server when connecting over SSL. The default value is
     true.
    :type use_host_verification: any
    :param use_peer_verification: Specifies whether to verify the identity of the server when
     connecting over SSL. The default value is true.
    :type use_peer_verification: any
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: any
    """

    _validation = {
        'type': {'required': True},
        'endpoint': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'connection_properties': {'key': 'typeProperties.connectionProperties', 'type': 'object'},
        'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
        'access_token': {'key': 'typeProperties.accessToken', 'type': 'SecretBase'},
        'use_encrypted_endpoints': {'key': 'typeProperties.useEncryptedEndpoints', 'type': 'object'},
        'use_host_verification': {'key': 'typeProperties.useHostVerification', 'type': 'object'},
        'use_peer_verification': {'key': 'typeProperties.usePeerVerification', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        endpoint: Any,
        additional_properties: Optional[Dict[str, Any]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        connection_properties: Optional[Any] = None,
        access_token: Optional["SecretBase"] = None,
        use_encrypted_endpoints: Optional[Any] = None,
        use_host_verification: Optional[Any] = None,
        use_peer_verification: Optional[Any] = None,
        encrypted_credential: Optional[Any] = None,
        **kwargs
    ):
        super(ZohoLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'Zoho'  # type: str
        self.connection_properties = connection_properties
        self.endpoint = endpoint
        self.access_token = access_token
        self.use_encrypted_endpoints = use_encrypted_endpoints
        self.use_host_verification = use_host_verification
        self.use_peer_verification = use_peer_verification
        self.encrypted_credential = encrypted_credential


class ZohoObjectDataset(Dataset):
    """Zoho server dataset.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Type of dataset.Constant filled by server.
    :type type: str
    :param description: Dataset description.
    :type description: str
    :param structure: Columns that define the structure of the dataset. Type: array (or Expression
     with resultType array), itemType: DatasetDataElement.
    :type structure: any
    :param schema: Columns that define the physical type schema of the dataset. Type: array (or
     Expression with resultType array), itemType: DatasetSchemaDataElement.
    :type schema: any
    :param linked_service_name: Required. Linked service reference.
    :type linked_service_name: ~azure.synapse.artifacts.v2020_12_01.models.LinkedServiceReference
    :param parameters: Parameters for dataset.
    :type parameters: dict[str, ~azure.synapse.artifacts.v2020_12_01.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the Dataset.
    :type annotations: list[any]
    :param folder: The folder that this Dataset is in. If not specified, Dataset will appear at the
     root level.
    :type folder: ~azure.synapse.artifacts.v2020_12_01.models.DatasetFolder
    :param table_name: The table name. Type: string (or Expression with resultType string).
    :type table_name: any
    """

    _validation = {
        'type': {'required': True},
        'linked_service_name': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'description': {'key': 'description', 'type': 'str'},
        'structure': {'key': 'structure', 'type': 'object'},
        'schema': {'key': 'schema', 'type': 'object'},
        'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
        'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        linked_service_name: "LinkedServiceReference",
        additional_properties: Optional[Dict[str, Any]] = None,
        description: Optional[str] = None,
        structure: Optional[Any] = None,
        schema: Optional[Any] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[Any]] = None,
        folder: Optional["DatasetFolder"] = None,
        table_name: Optional[Any] = None,
        **kwargs
    ):
        super(ZohoObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
        self.type = 'ZohoObject'  # type: str
        self.table_name = table_name


class ZohoSource(TabularSource):
    """A copy activity Zoho server source.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, any]
    :param type: Required. Copy source type.Constant filled by server.
    :type type: str
    :param source_retry_count: Source retry count. Type: integer (or Expression with resultType
     integer).
    :type source_retry_count: any
    :param source_retry_wait: Source retry wait. Type: string (or Expression with resultType
     string), pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type source_retry_wait: any
    :param max_concurrent_connections: The maximum concurrent connection count for the source data
     store. Type: integer (or Expression with resultType integer).
    :type max_concurrent_connections: any
    :param query_timeout: Query timeout. Type: string (or Expression with resultType string),
     pattern: ((\d+).)?(\d\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
    :type query_timeout: any
    :param additional_columns: Specifies the additional columns to be added to source data. Type:
     array of objects(AdditionalColumns) (or Expression with resultType array of objects).
    :type additional_columns: any
    :param query: A query to retrieve data from source. Type: string (or Expression with resultType
     string).
    :type query: any
    """

    _validation = {
        'type': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
        'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
        'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
        'query_timeout': {'key': 'queryTimeout', 'type': 'object'},
        'additional_columns': {'key': 'additionalColumns', 'type': 'object'},
        'query': {'key': 'query', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        additional_properties: Optional[Dict[str, Any]] = None,
        source_retry_count: Optional[Any] = None,
        source_retry_wait: Optional[Any] = None,
        max_concurrent_connections: Optional[Any] = None,
        query_timeout: Optional[Any] = None,
        additional_columns: Optional[Any] = None,
        query: Optional[Any] = None,
        **kwargs
    ):
        super(ZohoSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, query_timeout=query_timeout, additional_columns=additional_columns, **kwargs)
        self.type = 'ZohoSource'  # type: str
        self.query = query