// Copyright (c) 2012 - Cloud Instruments Co., Ltd. // // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // 1. Redistributions of source code must retain the above copyright notice, this // list of conditions and the following disclaimer. // 2. Redistributions in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND // ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED // WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR // ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES // (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; // LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND // ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. package seelog import ( "errors" "fmt" "math" "time" ) var ( adaptiveLoggerMaxInterval = time.Minute adaptiveLoggerMaxCriticalMsgCount = uint32(1000) ) // asyncAdaptiveLogger represents asynchronous adaptive logger which acts like // an async timer logger, but its interval depends on the current message count // in the queue. // // Interval = I, minInterval = m, maxInterval = M, criticalMsgCount = C, msgCount = c: // I = m + (C - Min(c, C)) / C * (M - m) type asyncAdaptiveLogger struct { asyncLogger minInterval time.Duration criticalMsgCount uint32 maxInterval time.Duration } // NewAsyncLoopLogger creates a new asynchronous adaptive logger func NewAsyncAdaptiveLogger( config *logConfig, minInterval time.Duration, maxInterval time.Duration, criticalMsgCount uint32) (*asyncAdaptiveLogger, error) { if minInterval <= 0 { return nil, errors.New("async adaptive logger min interval should be > 0") } if maxInterval > adaptiveLoggerMaxInterval { return nil, fmt.Errorf("async adaptive logger max interval should be <= %s", adaptiveLoggerMaxInterval) } if criticalMsgCount <= 0 { return nil, errors.New("async adaptive logger critical msg count should be > 0") } if criticalMsgCount > adaptiveLoggerMaxCriticalMsgCount { return nil, fmt.Errorf("async adaptive logger critical msg count should be <= %s", adaptiveLoggerMaxInterval) } asnAdaptiveLogger := new(asyncAdaptiveLogger) asnAdaptiveLogger.asyncLogger = *newAsyncLogger(config) asnAdaptiveLogger.minInterval = minInterval asnAdaptiveLogger.maxInterval = maxInterval asnAdaptiveLogger.criticalMsgCount = criticalMsgCount go asnAdaptiveLogger.processQueue() return asnAdaptiveLogger, nil } func (asnAdaptiveLogger *asyncAdaptiveLogger) processItem() (closed bool, itemCount int) { asnAdaptiveLogger.queueHasElements.L.Lock() defer asnAdaptiveLogger.queueHasElements.L.Unlock() for asnAdaptiveLogger.msgQueue.Len() == 0 && !asnAdaptiveLogger.Closed() { asnAdaptiveLogger.queueHasElements.Wait() } if asnAdaptiveLogger.Closed() { return true, asnAdaptiveLogger.msgQueue.Len() } asnAdaptiveLogger.processQueueElement() return false, asnAdaptiveLogger.msgQueue.Len() - 1 } // I = m + (C - Min(c, C)) / C * (M - m) => // I = m + cDiff * mDiff, // cDiff = (C - Min(c, C)) / C) // mDiff = (M - m) func (asnAdaptiveLogger *asyncAdaptiveLogger) calcAdaptiveInterval(msgCount int) time.Duration { critCountF := float64(asnAdaptiveLogger.criticalMsgCount) cDiff := (critCountF - math.Min(float64(msgCount), critCountF)) / critCountF mDiff := float64(asnAdaptiveLogger.maxInterval - asnAdaptiveLogger.minInterval) return asnAdaptiveLogger.minInterval + time.Duration(cDiff*mDiff) } func (asnAdaptiveLogger *asyncAdaptiveLogger) processQueue() { for !asnAdaptiveLogger.Closed() { closed, itemCount := asnAdaptiveLogger.processItem() if closed { break } interval := asnAdaptiveLogger.calcAdaptiveInterval(itemCount) <-time.After(interval) } }