SET debug= '+d,test_bka_unique'; set optimizer_switch='batched_key_access=on,mrr_cost_based=off'; DROP TABLE IF EXISTS t1,t2,t3,t4,t5,t6,t7,t8,t9,t10,t11; DROP DATABASE IF EXISTS world; set names utf8; CREATE DATABASE world; use world; CREATE TABLE country ( Code char(3) NOT NULL default '', Name char(52) NOT NULL default '', SurfaceArea float(10,2) NOT NULL default '0.00', Population int(11) NOT NULL default '0', Capital int(11) default NULL ); CREATE TABLE city ( ID int(11) NOT NULL, Name char(35) NOT NULL default '', Country char(3) NOT NULL default '', Population int(11) NOT NULL default '0' ); CREATE TABLE countrylanguage ( Country char(3) NOT NULL default '', Language char(30) NOT NULL default '', Percentage float(3,1) NOT NULL default '0.0' ); SELECT COUNT(*) FROM country; COUNT(*) 239 SELECT COUNT(*) FROM city; COUNT(*) 4079 SELECT COUNT(*) FROM countrylanguage; COUNT(*) 984 show variables like 'join_buffer_size'; Variable_name Value join_buffer_size 262144 EXPLAIN SELECT city.Name, country.Name FROM city,country WHERE city.Country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL ALL NULL NULL NULL NULL 239 11.11 Using where 1 SIMPLE city NULL ALL NULL NULL NULL NULL 4079 3.33 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name` from `world`.`city` join `world`.`country` where ((`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`country`.`Name` like 'L%') and (`world`.`city`.`Population` > 100000)) SELECT city.Name, country.Name FROM city,country WHERE city.Country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name ?iauliai Lithuania Beirut Lebanon Bengasi Libyan Arab Jamahiriya Daugavpils Latvia Kaunas Lithuania Klaipeda Lithuania Maseru Lesotho Misrata Libyan Arab Jamahiriya Monrovia Liberia Panevezys Lithuania Riga Latvia Tripoli Lebanon Tripoli Libyan Arab Jamahiriya Vientiane Laos Vilnius Lithuania EXPLAIN SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.Country=country.Code AND countrylanguage.Country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL ALL NULL NULL NULL NULL 239 33.33 Using where 1 SIMPLE countrylanguage NULL ALL NULL NULL NULL NULL 984 3.33 Using where; Using join buffer (Block Nested Loop) 1 SIMPLE city NULL ALL NULL NULL NULL NULL 4079 1.11 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name`,`world`.`countrylanguage`.`Language` AS `Language` from `world`.`city` join `world`.`country` join `world`.`countrylanguage` where ((`world`.`countrylanguage`.`Country` = `world`.`country`.`Code`) and (`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`city`.`Name` like 'L%') and (`world`.`country`.`Population` > 3000000) and (`world`.`countrylanguage`.`Percentage` > 50)) SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.Country=country.Code AND countrylanguage.Country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; Name Name Language La Ceiba Honduras Spanish La Habana Cuba Spanish La Matanza Argentina Spanish La Paz Bolivia Spanish La Paz Mexico Spanish La Paz Mexico Spanish La Plata Argentina Spanish La Rioja Argentina Spanish La Romana Dominican Republic Spanish La Serena Chile Spanish La Spezia Italy Italian Lafayette United States English Lages Brazil Portuguese Lagos de Moreno Mexico Spanish Lahti Finland Finnish Laiwu China Chinese Laiyang China Chinese Laizhou China Chinese Lakewood United States English Lalitapur Nepal Nepali Lambaré Paraguay Spanish Lancaster United States English Langfang China Chinese Lansing United States English Lanzhou China Chinese Lanús Argentina Spanish Laohekou China Chinese Laredo United States English Larisa Greece Greek Las Heras Argentina Spanish Las Margaritas Mexico Spanish Las Palmas de Gran Canaria Spain Spanish Las Vegas United States English Lashio (Lasho) Myanmar Burmese Latakia Syria Arabic Latina Italy Italian Lauro de Freitas Brazil Portuguese Lausanne Switzerland German Laval Canada English Le Havre France French Le Mans France French Le-Cap-Haïtien Haiti Haiti Creole Lecce Italy Italian Leeds United Kingdom English Leganés Spain Spanish Legnica Poland Polish Leicester United Kingdom English Leiden Netherlands Dutch Leipzig Germany German Leiyang China Chinese Lengshuijiang China Chinese Leninsk-Kuznetski Russian Federation Russian Lerdo Mexico Spanish Lerma Mexico Spanish Leshan China Chinese Leverkusen Germany German Lexington-Fayette United States English León Mexico Spanish León Nicaragua Spanish León Spain Spanish Lhasa China Chinese Liangcheng China Chinese Lianyuan China Chinese Lianyungang China Chinese Liaocheng China Chinese Liaoyang China Chinese Liaoyuan China Chinese Liberec Czech Republic Czech Lida Belarus Belorussian Liling China Chinese Lille France French Lilongwe Malawi Chichewa Lima Peru Spanish Limeira Brazil Portuguese Limoges France French Linchuan China Chinese Lincoln United States English Linfen China Chinese Linhai China Chinese Linhares Brazil Portuguese Linhe China Chinese Linköping Sweden Swedish Linqing China Chinese Linyi China Chinese Linz Austria German Lipetsk Russian Federation Russian Lisboa Portugal Portuguese Little Rock United States English Liupanshui China Chinese Liuzhou China Chinese Liu´an China Chinese Liverpool United Kingdom English Livonia United States English Livorno Italy Italian Liyang China Chinese Liège Belgium Dutch Ljubertsy Russian Federation Russian Lleida (Lérida) Spain Spanish Logroño Spain Spanish Loja Ecuador Spanish Lomas de Zamora Argentina Spanish London Canada English London United Kingdom English Londrina Brazil Portuguese Long Beach United States English Long Xuyen Vietnam Vietnamese Longjing China Chinese Longkou China Chinese Longueuil Canada English Longyan China Chinese Los Angeles Chile Spanish Los Angeles United States English Los Cabos Mexico Spanish Los Teques Venezuela Spanish Loudi China Chinese Louisville United States English Lowell United States English Lower Hutt New Zealand English Lubbock United States English Lublin Poland Polish Luchou Taiwan Min Ludwigshafen am Rhein Germany German Lugansk Ukraine Ukrainian Lund Sweden Swedish Lungtan Taiwan Min Luohe China Chinese Luoyang China Chinese Luton United Kingdom English Lutsk Ukraine Ukrainian Luxor Egypt Arabic Luzhou China Chinese Luziânia Brazil Portuguese Lviv Ukraine Ukrainian Lyon France French Lysyt?ansk Ukraine Ukrainian L´Hospitalet de Llobregat Spain Spanish Lázaro Cárdenas Mexico Spanish Lódz Poland Polish Lübeck Germany German Lünen Germany German set join_buffer_size=256; show variables like 'join_buffer_size'; Variable_name Value join_buffer_size 256 EXPLAIN SELECT city.Name, country.Name FROM city,country WHERE city.Country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL ALL NULL NULL NULL NULL 239 11.11 Using where 1 SIMPLE city NULL ALL NULL NULL NULL NULL 4079 3.33 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name` from `world`.`city` join `world`.`country` where ((`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`country`.`Name` like 'L%') and (`world`.`city`.`Population` > 100000)) SELECT city.Name, country.Name FROM city,country WHERE city.Country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name ?iauliai Lithuania Beirut Lebanon Bengasi Libyan Arab Jamahiriya Daugavpils Latvia Kaunas Lithuania Klaipeda Lithuania Maseru Lesotho Misrata Libyan Arab Jamahiriya Monrovia Liberia Panevezys Lithuania Riga Latvia Tripoli Lebanon Tripoli Libyan Arab Jamahiriya Vientiane Laos Vilnius Lithuania EXPLAIN SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.Country=country.Code AND countrylanguage.Country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL ALL NULL NULL NULL NULL 239 33.33 Using where 1 SIMPLE countrylanguage NULL ALL NULL NULL NULL NULL 984 3.33 Using where; Using join buffer (Block Nested Loop) 1 SIMPLE city NULL ALL NULL NULL NULL NULL 4079 1.11 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name`,`world`.`countrylanguage`.`Language` AS `Language` from `world`.`city` join `world`.`country` join `world`.`countrylanguage` where ((`world`.`countrylanguage`.`Country` = `world`.`country`.`Code`) and (`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`city`.`Name` like 'L%') and (`world`.`country`.`Population` > 3000000) and (`world`.`countrylanguage`.`Percentage` > 50)) SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.Country=country.Code AND countrylanguage.Country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; Name Name Language La Ceiba Honduras Spanish La Habana Cuba Spanish La Matanza Argentina Spanish La Paz Bolivia Spanish La Paz Mexico Spanish La Paz Mexico Spanish La Plata Argentina Spanish La Rioja Argentina Spanish La Romana Dominican Republic Spanish La Serena Chile Spanish La Spezia Italy Italian Lafayette United States English Lages Brazil Portuguese Lagos de Moreno Mexico Spanish Lahti Finland Finnish Laiwu China Chinese Laiyang China Chinese Laizhou China Chinese Lakewood United States English Lalitapur Nepal Nepali Lambaré Paraguay Spanish Lancaster United States English Langfang China Chinese Lansing United States English Lanzhou China Chinese Lanús Argentina Spanish Laohekou China Chinese Laredo United States English Larisa Greece Greek Las Heras Argentina Spanish Las Margaritas Mexico Spanish Las Palmas de Gran Canaria Spain Spanish Las Vegas United States English Lashio (Lasho) Myanmar Burmese Latakia Syria Arabic Latina Italy Italian Lauro de Freitas Brazil Portuguese Lausanne Switzerland German Laval Canada English Le Havre France French Le Mans France French Le-Cap-Haïtien Haiti Haiti Creole Lecce Italy Italian Leeds United Kingdom English Leganés Spain Spanish Legnica Poland Polish Leicester United Kingdom English Leiden Netherlands Dutch Leipzig Germany German Leiyang China Chinese Lengshuijiang China Chinese Leninsk-Kuznetski Russian Federation Russian Lerdo Mexico Spanish Lerma Mexico Spanish Leshan China Chinese Leverkusen Germany German Lexington-Fayette United States English León Mexico Spanish León Nicaragua Spanish León Spain Spanish Lhasa China Chinese Liangcheng China Chinese Lianyuan China Chinese Lianyungang China Chinese Liaocheng China Chinese Liaoyang China Chinese Liaoyuan China Chinese Liberec Czech Republic Czech Lida Belarus Belorussian Liling China Chinese Lille France French Lilongwe Malawi Chichewa Lima Peru Spanish Limeira Brazil Portuguese Limoges France French Linchuan China Chinese Lincoln United States English Linfen China Chinese Linhai China Chinese Linhares Brazil Portuguese Linhe China Chinese Linköping Sweden Swedish Linqing China Chinese Linyi China Chinese Linz Austria German Lipetsk Russian Federation Russian Lisboa Portugal Portuguese Little Rock United States English Liupanshui China Chinese Liuzhou China Chinese Liu´an China Chinese Liverpool United Kingdom English Livonia United States English Livorno Italy Italian Liyang China Chinese Liège Belgium Dutch Ljubertsy Russian Federation Russian Lleida (Lérida) Spain Spanish Logroño Spain Spanish Loja Ecuador Spanish Lomas de Zamora Argentina Spanish London Canada English London United Kingdom English Londrina Brazil Portuguese Long Beach United States English Long Xuyen Vietnam Vietnamese Longjing China Chinese Longkou China Chinese Longueuil Canada English Longyan China Chinese Los Angeles Chile Spanish Los Angeles United States English Los Cabos Mexico Spanish Los Teques Venezuela Spanish Loudi China Chinese Louisville United States English Lowell United States English Lower Hutt New Zealand English Lubbock United States English Lublin Poland Polish Luchou Taiwan Min Ludwigshafen am Rhein Germany German Lugansk Ukraine Ukrainian Lund Sweden Swedish Lungtan Taiwan Min Luohe China Chinese Luoyang China Chinese Luton United Kingdom English Lutsk Ukraine Ukrainian Luxor Egypt Arabic Luzhou China Chinese Luziânia Brazil Portuguese Lviv Ukraine Ukrainian Lyon France French Lysyt?ansk Ukraine Ukrainian L´Hospitalet de Llobregat Spain Spanish Lázaro Cárdenas Mexico Spanish Lódz Poland Polish Lübeck Germany German Lünen Germany German set join_buffer_size=default; show variables like 'join_buffer_size'; Variable_name Value join_buffer_size 262144 DROP DATABASE world; CREATE DATABASE world; use world; CREATE TABLE country ( Code char(3) NOT NULL default '', Name char(52) NOT NULL default '', SurfaceArea float(10,2) NOT NULL default '0.00', Population int(11) NOT NULL default '0', Capital int(11) default NULL, PRIMARY KEY (Code), UNIQUE INDEX (Name) ); CREATE TABLE city ( ID int(11) NOT NULL auto_increment, Name char(35) NOT NULL default '', Country char(3) NOT NULL default '', Population int(11) NOT NULL default '0', PRIMARY KEY (ID), INDEX (Population), INDEX (Country) ); CREATE TABLE countrylanguage ( Country char(3) NOT NULL default '', Language char(30) NOT NULL default '', Percentage float(3,1) NOT NULL default '0.0', PRIMARY KEY (Country, Language), INDEX (Percentage) ); show variables like 'join_buffer_size'; Variable_name Value join_buffer_size 262144 EXPLAIN SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL range PRIMARY,Name Name 52 NULL 10 100.00 Using index condition; Using MRR 1 SIMPLE city NULL ref Population,Country Country 3 world.country.Code 18 87.57 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name` from `world`.`city` join `world`.`country` where ((`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`country`.`Name` like 'L%') and (`world`.`city`.`Population` > 100000)) SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name ?iauliai Lithuania Beirut Lebanon Bengasi Libyan Arab Jamahiriya Daugavpils Latvia Kaunas Lithuania Klaipeda Lithuania Maseru Lesotho Misrata Libyan Arab Jamahiriya Monrovia Liberia Panevezys Lithuania Riga Latvia Tripoli Lebanon Tripoli Libyan Arab Jamahiriya Vientiane Laos Vilnius Lithuania EXPLAIN SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.country=country.Code AND countrylanguage.country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE countrylanguage NULL range PRIMARY,Percentage Percentage 4 NULL # 100.00 Using index condition; Using MRR 1 SIMPLE country NULL eq_ref PRIMARY PRIMARY 3 world.countrylanguage.Country 1 33.33 Using where; Using join buffer (Batched Key Access (unique)) 1 SIMPLE city NULL ref Country Country 3 world.countrylanguage.Country 18 11.11 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name`,`world`.`countrylanguage`.`Language` AS `Language` from `world`.`city` join `world`.`country` join `world`.`countrylanguage` where ((`world`.`country`.`Code` = `world`.`countrylanguage`.`Country`) and (`world`.`city`.`Country` = `world`.`countrylanguage`.`Country`) and (`world`.`city`.`Name` like 'L%') and (`world`.`country`.`Population` > 3000000) and (`world`.`countrylanguage`.`Percentage` > 50)) SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.country=country.Code AND countrylanguage.country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; Name Name Language La Ceiba Honduras Spanish La Habana Cuba Spanish La Matanza Argentina Spanish La Paz Bolivia Spanish La Paz Mexico Spanish La Paz Mexico Spanish La Plata Argentina Spanish La Rioja Argentina Spanish La Romana Dominican Republic Spanish La Serena Chile Spanish La Spezia Italy Italian Lafayette United States English Lages Brazil Portuguese Lagos de Moreno Mexico Spanish Lahti Finland Finnish Laiwu China Chinese Laiyang China Chinese Laizhou China Chinese Lakewood United States English Lalitapur Nepal Nepali Lambaré Paraguay Spanish Lancaster United States English Langfang China Chinese Lansing United States English Lanzhou China Chinese Lanús Argentina Spanish Laohekou China Chinese Laredo United States English Larisa Greece Greek Las Heras Argentina Spanish Las Margaritas Mexico Spanish Las Palmas de Gran Canaria Spain Spanish Las Vegas United States English Lashio (Lasho) Myanmar Burmese Latakia Syria Arabic Latina Italy Italian Lauro de Freitas Brazil Portuguese Lausanne Switzerland German Laval Canada English Le Havre France French Le Mans France French Le-Cap-Haïtien Haiti Haiti Creole Lecce Italy Italian Leeds United Kingdom English Leganés Spain Spanish Legnica Poland Polish Leicester United Kingdom English Leiden Netherlands Dutch Leipzig Germany German Leiyang China Chinese Lengshuijiang China Chinese Leninsk-Kuznetski Russian Federation Russian Lerdo Mexico Spanish Lerma Mexico Spanish Leshan China Chinese Leverkusen Germany German Lexington-Fayette United States English León Mexico Spanish León Nicaragua Spanish León Spain Spanish Lhasa China Chinese Liangcheng China Chinese Lianyuan China Chinese Lianyungang China Chinese Liaocheng China Chinese Liaoyang China Chinese Liaoyuan China Chinese Liberec Czech Republic Czech Lida Belarus Belorussian Liling China Chinese Lille France French Lilongwe Malawi Chichewa Lima Peru Spanish Limeira Brazil Portuguese Limoges France French Linchuan China Chinese Lincoln United States English Linfen China Chinese Linhai China Chinese Linhares Brazil Portuguese Linhe China Chinese Linköping Sweden Swedish Linqing China Chinese Linyi China Chinese Linz Austria German Lipetsk Russian Federation Russian Lisboa Portugal Portuguese Little Rock United States English Liupanshui China Chinese Liuzhou China Chinese Liu´an China Chinese Liverpool United Kingdom English Livonia United States English Livorno Italy Italian Liyang China Chinese Liège Belgium Dutch Ljubertsy Russian Federation Russian Lleida (Lérida) Spain Spanish Logroño Spain Spanish Loja Ecuador Spanish Lomas de Zamora Argentina Spanish London Canada English London United Kingdom English Londrina Brazil Portuguese Long Beach United States English Long Xuyen Vietnam Vietnamese Longjing China Chinese Longkou China Chinese Longueuil Canada English Longyan China Chinese Los Angeles Chile Spanish Los Angeles United States English Los Cabos Mexico Spanish Los Teques Venezuela Spanish Loudi China Chinese Louisville United States English Lowell United States English Lower Hutt New Zealand English Lubbock United States English Lublin Poland Polish Luchou Taiwan Min Ludwigshafen am Rhein Germany German Lugansk Ukraine Ukrainian Lund Sweden Swedish Lungtan Taiwan Min Luohe China Chinese Luoyang China Chinese Luton United Kingdom English Lutsk Ukraine Ukrainian Luxor Egypt Arabic Luzhou China Chinese Luziânia Brazil Portuguese Lviv Ukraine Ukrainian Lyon France French Lysyt?ansk Ukraine Ukrainian L´Hospitalet de Llobregat Spain Spanish Lázaro Cárdenas Mexico Spanish Lódz Poland Polish Lübeck Germany German Lünen Germany German EXPLAIN SELECT Name FROM city WHERE city.country IN (SELECT Code FROM country WHERE country.Name LIKE 'L%') AND city.Population > 100000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL range PRIMARY,Name Name 52 NULL 10 100.00 Using index condition; Using MRR 1 SIMPLE city NULL ref Population,Country Country 3 world.country.Code 18 87.57 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name` from `world`.`country` join `world`.`city` where ((`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`city`.`Population` > 100000) and (`world`.`country`.`Name` like 'L%')) SELECT Name FROM city WHERE city.country IN (SELECT Code FROM country WHERE country.Name LIKE 'L%') AND city.Population > 100000; Name ?iauliai Beirut Bengasi Daugavpils Kaunas Klaipeda Maseru Misrata Monrovia Panevezys Riga Tripoli Tripoli Vientiane Vilnius EXPLAIN SELECT country.Name, IF(ISNULL(countrylanguage.country), NULL, countrylanguage.Percentage) FROM country LEFT JOIN countrylanguage ON (countrylanguage.country=country.Code AND Language='English') WHERE country.Population > 10000000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL ALL NULL NULL NULL NULL 239 33.33 Using where 1 SIMPLE countrylanguage NULL eq_ref PRIMARY PRIMARY 33 world.country.Code,const 1 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`country`.`Name` AS `Name`,if(isnull(`world`.`countrylanguage`.`Country`),NULL,`world`.`countrylanguage`.`Percentage`) AS `IF(ISNULL(countrylanguage.country), NULL, countrylanguage.Percentage)` from `world`.`country` left join `world`.`countrylanguage` on(((`world`.`countrylanguage`.`Language` = 'English') and (`world`.`countrylanguage`.`Country` = `world`.`country`.`Code`))) where (`world`.`country`.`Population` > 10000000) SELECT country.Name, IF(ISNULL(countrylanguage.country), NULL, countrylanguage.Percentage) FROM country LEFT JOIN countrylanguage ON (countrylanguage.country=country.Code AND Language='English') WHERE country.Population > 10000000; Name IF(ISNULL(countrylanguage.country), NULL, countrylanguage.Percentage) Afghanistan NULL Algeria NULL Angola NULL Argentina NULL Australia 81.2 Bangladesh NULL Belarus NULL Belgium NULL Brazil NULL Burkina Faso NULL Cambodia NULL Cameroon NULL Canada 60.4 Chile NULL China NULL Colombia NULL Congo, The Democratic Republic of the NULL Cuba NULL Czech Republic NULL Côte d?Ivoire NULL Ecuador NULL Egypt NULL Ethiopia NULL France NULL Germany NULL Ghana NULL Greece NULL Guatemala NULL Hungary NULL India NULL Indonesia NULL Iran NULL Iraq NULL Italy NULL Japan 0.1 Kazakstan NULL Kenya NULL Madagascar NULL Malawi NULL Malaysia 1.6 Mali NULL Mexico NULL Morocco NULL Mozambique NULL Myanmar NULL Nepal NULL Netherlands NULL Niger NULL Nigeria NULL North Korea NULL Pakistan NULL Peru NULL Philippines NULL Poland NULL Romania NULL Russian Federation NULL Saudi Arabia NULL Somalia NULL South Africa 8.5 South Korea NULL Spain NULL Sri Lanka NULL Sudan NULL Syria NULL Taiwan NULL Tanzania NULL Thailand NULL Turkey NULL Uganda NULL Ukraine NULL United Kingdom 97.3 United States 86.2 Uzbekistan NULL Venezuela NULL Vietnam NULL Yemen NULL Yugoslavia NULL Zimbabwe 2.2 set join_buffer_size=256; show variables like 'join_buffer_size'; Variable_name Value join_buffer_size 256 EXPLAIN SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL range PRIMARY,Name Name 52 NULL 10 100.00 Using index condition; Using MRR 1 SIMPLE city NULL ref Population,Country Country 3 world.country.Code 18 87.57 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name` from `world`.`city` join `world`.`country` where ((`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`country`.`Name` like 'L%') and (`world`.`city`.`Population` > 100000)) SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name ?iauliai Lithuania Beirut Lebanon Bengasi Libyan Arab Jamahiriya Daugavpils Latvia Kaunas Lithuania Klaipeda Lithuania Maseru Lesotho Misrata Libyan Arab Jamahiriya Monrovia Liberia Panevezys Lithuania Riga Latvia Tripoli Lebanon Tripoli Libyan Arab Jamahiriya Vientiane Laos Vilnius Lithuania EXPLAIN SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.country=country.Code AND countrylanguage.country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE countrylanguage NULL range PRIMARY,Percentage Percentage 4 NULL # 100.00 Using index condition; Using MRR 1 SIMPLE country NULL eq_ref PRIMARY PRIMARY 3 world.countrylanguage.Country 1 33.33 Using where; Using join buffer (Batched Key Access (unique)) 1 SIMPLE city NULL ref Country Country 3 world.countrylanguage.Country 18 11.11 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name`,`world`.`countrylanguage`.`Language` AS `Language` from `world`.`city` join `world`.`country` join `world`.`countrylanguage` where ((`world`.`country`.`Code` = `world`.`countrylanguage`.`Country`) and (`world`.`city`.`Country` = `world`.`countrylanguage`.`Country`) and (`world`.`city`.`Name` like 'L%') and (`world`.`country`.`Population` > 3000000) and (`world`.`countrylanguage`.`Percentage` > 50)) SELECT city.Name, country.Name, countrylanguage.Language FROM city,country,countrylanguage WHERE city.country=country.Code AND countrylanguage.country=country.Code AND city.Name LIKE 'L%' AND country.Population > 3000000 AND countrylanguage.Percentage > 50; Name Name Language La Ceiba Honduras Spanish La Habana Cuba Spanish La Matanza Argentina Spanish La Paz Bolivia Spanish La Paz Mexico Spanish La Paz Mexico Spanish La Plata Argentina Spanish La Rioja Argentina Spanish La Romana Dominican Republic Spanish La Serena Chile Spanish La Spezia Italy Italian Lafayette United States English Lages Brazil Portuguese Lagos de Moreno Mexico Spanish Lahti Finland Finnish Laiwu China Chinese Laiyang China Chinese Laizhou China Chinese Lakewood United States English Lalitapur Nepal Nepali Lambaré Paraguay Spanish Lancaster United States English Langfang China Chinese Lansing United States English Lanzhou China Chinese Lanús Argentina Spanish Laohekou China Chinese Laredo United States English Larisa Greece Greek Las Heras Argentina Spanish Las Margaritas Mexico Spanish Las Palmas de Gran Canaria Spain Spanish Las Vegas United States English Lashio (Lasho) Myanmar Burmese Latakia Syria Arabic Latina Italy Italian Lauro de Freitas Brazil Portuguese Lausanne Switzerland German Laval Canada English Le Havre France French Le Mans France French Le-Cap-Haïtien Haiti Haiti Creole Lecce Italy Italian Leeds United Kingdom English Leganés Spain Spanish Legnica Poland Polish Leicester United Kingdom English Leiden Netherlands Dutch Leipzig Germany German Leiyang China Chinese Lengshuijiang China Chinese Leninsk-Kuznetski Russian Federation Russian Lerdo Mexico Spanish Lerma Mexico Spanish Leshan China Chinese Leverkusen Germany German Lexington-Fayette United States English León Mexico Spanish León Nicaragua Spanish León Spain Spanish Lhasa China Chinese Liangcheng China Chinese Lianyuan China Chinese Lianyungang China Chinese Liaocheng China Chinese Liaoyang China Chinese Liaoyuan China Chinese Liberec Czech Republic Czech Lida Belarus Belorussian Liling China Chinese Lille France French Lilongwe Malawi Chichewa Lima Peru Spanish Limeira Brazil Portuguese Limoges France French Linchuan China Chinese Lincoln United States English Linfen China Chinese Linhai China Chinese Linhares Brazil Portuguese Linhe China Chinese Linköping Sweden Swedish Linqing China Chinese Linyi China Chinese Linz Austria German Lipetsk Russian Federation Russian Lisboa Portugal Portuguese Little Rock United States English Liupanshui China Chinese Liuzhou China Chinese Liu´an China Chinese Liverpool United Kingdom English Livonia United States English Livorno Italy Italian Liyang China Chinese Liège Belgium Dutch Ljubertsy Russian Federation Russian Lleida (Lérida) Spain Spanish Logroño Spain Spanish Loja Ecuador Spanish Lomas de Zamora Argentina Spanish London Canada English London United Kingdom English Londrina Brazil Portuguese Long Beach United States English Long Xuyen Vietnam Vietnamese Longjing China Chinese Longkou China Chinese Longueuil Canada English Longyan China Chinese Los Angeles Chile Spanish Los Angeles United States English Los Cabos Mexico Spanish Los Teques Venezuela Spanish Loudi China Chinese Louisville United States English Lowell United States English Lower Hutt New Zealand English Lubbock United States English Lublin Poland Polish Luchou Taiwan Min Ludwigshafen am Rhein Germany German Lugansk Ukraine Ukrainian Lund Sweden Swedish Lungtan Taiwan Min Luohe China Chinese Luoyang China Chinese Luton United Kingdom English Lutsk Ukraine Ukrainian Luxor Egypt Arabic Luzhou China Chinese Luziânia Brazil Portuguese Lviv Ukraine Ukrainian Lyon France French Lysyt?ansk Ukraine Ukrainian L´Hospitalet de Llobregat Spain Spanish Lázaro Cárdenas Mexico Spanish Lódz Poland Polish Lübeck Germany German Lünen Germany German EXPLAIN SELECT Name FROM city WHERE city.country IN (SELECT Code FROM country WHERE country.Name LIKE 'L%') AND city.Population > 100000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE country NULL range PRIMARY,Name Name 52 NULL 10 100.00 Using index condition; Using MRR 1 SIMPLE city NULL ref Population,Country Country 3 world.country.Code 18 87.57 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name` from `world`.`country` join `world`.`city` where ((`world`.`city`.`Country` = `world`.`country`.`Code`) and (`world`.`city`.`Population` > 100000) and (`world`.`country`.`Name` like 'L%')) SELECT Name FROM city WHERE city.country IN (SELECT Code FROM country WHERE country.Name LIKE 'L%') AND city.Population > 100000; Name ?iauliai Beirut Bengasi Daugavpils Kaunas Klaipeda Maseru Misrata Monrovia Panevezys Riga Tripoli Tripoli Vientiane Vilnius set join_buffer_size=default; show variables like 'join_buffer_size'; Variable_name Value join_buffer_size 262144 SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND city.Population > 3000000; Name Name Alexandria Egypt Ankara Turkey Baghdad Iraq Bangkok Thailand Berlin Germany Cairo Egypt Calcutta [Kolkata] India Chengdu China Chennai (Madras) India Chongqing China Ciudad de México Mexico Delhi India Dhaka Bangladesh Harbin China Ho Chi Minh City Vietnam Istanbul Turkey Jakarta Indonesia Jokohama [Yokohama] Japan Kanton [Guangzhou] China Karachi Pakistan Kinshasa Congo, The Democratic Republic of the Lahore Pakistan Lima Peru London United Kingdom Los Angeles United States Moscow Russian Federation Mumbai (Bombay) India New York United States Peking China Pusan South Korea Rangoon (Yangon) Myanmar Rio de Janeiro Brazil Riyadh Saudi Arabia Santafé de Bogotá Colombia Santiago de Chile Chile Seoul South Korea Shanghai China Shenyang China Singapore Singapore St Petersburg Russian Federation Sydney Australia São Paulo Brazil Teheran Iran Tianjin China Tokyo Japan Wuhan China set join_buffer_size=256; EXPLAIN SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND city.Population > 3000000; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE city NULL range Population,Country Population 4 NULL # 100.00 Using index condition; Using MRR 1 SIMPLE country NULL eq_ref PRIMARY PRIMARY 3 world.city.Country # 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `world`.`city`.`Name` AS `Name`,`world`.`country`.`Name` AS `Name` from `world`.`city` join `world`.`country` where ((`world`.`country`.`Code` = `world`.`city`.`Country`) and (`world`.`city`.`Population` > 3000000)) SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND city.Population > 3000000; Name Name Alexandria Egypt Ankara Turkey Baghdad Iraq Bangkok Thailand Berlin Germany Cairo Egypt Calcutta [Kolkata] India Chengdu China Chennai (Madras) India Chongqing China Ciudad de México Mexico Delhi India Dhaka Bangladesh Harbin China Ho Chi Minh City Vietnam Istanbul Turkey Jakarta Indonesia Jokohama [Yokohama] Japan Kanton [Guangzhou] China Karachi Pakistan Kinshasa Congo, The Democratic Republic of the Lahore Pakistan Lima Peru London United Kingdom Los Angeles United States Moscow Russian Federation Mumbai (Bombay) India New York United States Peking China Pusan South Korea Rangoon (Yangon) Myanmar Rio de Janeiro Brazil Riyadh Saudi Arabia Santafé de Bogotá Colombia Santiago de Chile Chile Seoul South Korea Shanghai China Shenyang China Singapore Singapore St Petersburg Russian Federation Sydney Australia São Paulo Brazil Teheran Iran Tianjin China Tokyo Japan Wuhan China set join_buffer_size=default; ALTER TABLE country MODIFY Name varchar(52) NOT NULL default ''; SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name ?iauliai Lithuania Beirut Lebanon Bengasi Libyan Arab Jamahiriya Daugavpils Latvia Kaunas Lithuania Klaipeda Lithuania Maseru Lesotho Misrata Libyan Arab Jamahiriya Monrovia Liberia Panevezys Lithuania Riga Latvia Tripoli Lebanon Tripoli Libyan Arab Jamahiriya Vientiane Laos Vilnius Lithuania ALTER TABLE country MODIFY Name varchar(300) NOT NULL default ''; SELECT city.Name, country.Name FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name ?iauliai Lithuania Beirut Lebanon Bengasi Libyan Arab Jamahiriya Daugavpils Latvia Kaunas Lithuania Klaipeda Lithuania Maseru Lesotho Misrata Libyan Arab Jamahiriya Monrovia Liberia Panevezys Lithuania Riga Latvia Tripoli Lebanon Tripoli Libyan Arab Jamahiriya Vientiane Laos Vilnius Lithuania ALTER TABLE country ADD COLUMN PopulationBar text; UPDATE country SET PopulationBar=REPEAT('x', CAST(Population/100000 AS unsigned int)); SELECT city.Name, country.Name, country.PopulationBar FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name PopulationBar ?iauliai Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Beirut Lebanon xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Bengasi Libyan Arab Jamahiriya xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Daugavpils Latvia xxxxxxxxxxxxxxxxxxxxxxxx Kaunas Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Klaipeda Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Maseru Lesotho xxxxxxxxxxxxxxxxxxxxxx Misrata Libyan Arab Jamahiriya xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Monrovia Liberia xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Panevezys Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Riga Latvia xxxxxxxxxxxxxxxxxxxxxxxx Tripoli Lebanon xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Tripoli Libyan Arab Jamahiriya xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Vientiane Laos xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Vilnius Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx set join_buffer_size=256; SELECT city.Name, country.Name, country.PopulationBar FROM city,country WHERE city.country=country.Code AND country.Name LIKE 'L%' AND city.Population > 100000; Name Name PopulationBar ?iauliai Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Beirut Lebanon xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Bengasi Libyan Arab Jamahiriya xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Daugavpils Latvia xxxxxxxxxxxxxxxxxxxxxxxx Kaunas Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Klaipeda Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Maseru Lesotho xxxxxxxxxxxxxxxxxxxxxx Misrata Libyan Arab Jamahiriya xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Monrovia Liberia xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Panevezys Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Riga Latvia xxxxxxxxxxxxxxxxxxxxxxxx Tripoli Lebanon xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Tripoli Libyan Arab Jamahiriya xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Vientiane Laos xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Vilnius Lithuania xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx set join_buffer_size=default; DROP DATABASE world; use test; CREATE TABLE t1( affiliatetometaid int NOT NULL default '0', uniquekey int NOT NULL default '0', metaid int NOT NULL default '0', affiliateid int NOT NULL default '0', xml text, isactive char(1) NOT NULL default 'Y', PRIMARY KEY (affiliatetometaid) ); CREATE UNIQUE INDEX t1_uniquekey ON t1(uniquekey); CREATE INDEX t1_affiliateid ON t1(affiliateid); CREATE INDEX t1_metaid on t1 (metaid); INSERT INTO t1 VALUES (1616, 1571693233, 1391, 2, NULL, 'Y'), (1943, 1993216749, 1726, 2, NULL, 'Y'); CREATE TABLE t2( metaid int NOT NULL default '0', name varchar(80) NOT NULL default '', dateadded timestamp NOT NULL , xml text, status int default NULL, origin int default NULL, gid int NOT NULL default '1', formattypeid int default NULL, PRIMARY KEY (metaid) ); CREATE INDEX t2_status ON t2(status); CREATE INDEX t2_gid ON t2(gid); CREATE INDEX t2_formattypeid ON t2(formattypeid); INSERT INTO t2 VALUES (1391, "I Just Died", "2003-10-02 10:07:37", "", 1, NULL, 3, NULL), (1726, "Me, Myself & I", "2003-12-05 11:24:36", " ", 1, NULL, 3, NULL); CREATE TABLE t3( mediaid int NOT NULL , metaid int NOT NULL default '0', formatid int NOT NULL default '0', status int default NULL, path varchar(100) NOT NULL default '', datemodified timestamp NOT NULL , resourcetype int NOT NULL default '1', parameters text, signature int default NULL, quality int NOT NULL default '255', PRIMARY KEY (mediaid) ); CREATE INDEX t3_metaid ON t3(metaid); CREATE INDEX t3_formatid ON t3(formatid); CREATE INDEX t3_status ON t3(status); CREATE INDEX t3_metaidformatid ON t3(metaid,formatid); CREATE INDEX t3_signature ON t3(signature); CREATE INDEX t3_quality ON t3(quality); INSERT INTO t3 VALUES (6, 4, 8, 0, "010101_anastacia_spmidi.mid", "2004-03-16 13:40:00", 1, NULL, NULL, 255), (3343, 3, 8, 1, "010102_4VN4bsPwnxRQUJW5Zp1RhG2IL9vvl_8.mid", "2004-03-16 13:40:00", 1, NULL, NULL, 255); CREATE TABLE t4( formatid int NOT NULL , name varchar(60) NOT NULL default '', formatclassid int NOT NULL default '0', mime varchar(60) default NULL, extension varchar(10) default NULL, priority int NOT NULL default '0', canaddtocapability char(1) NOT NULL default 'Y', PRIMARY KEY (formatid) ); CREATE INDEX t4_formatclassid ON t4(formatclassid); CREATE INDEX t4_formats_idx ON t4(canaddtocapability); INSERT INTO t4 VALUES (19, "XHTML", 11, "text/html", "xhtml", 10, 'Y'), (54, "AMR (wide band)", 13, "audio/amr-wb", "awb", 0, 'Y'); CREATE TABLE t5( formatclassid int NOT NULL , name varchar(60) NOT NULL default '', priority int NOT NULL default '0', formattypeid int NOT NULL default '0', PRIMARY KEY (formatclassid) ); CREATE INDEX t5_formattypeid on t5(formattypeid); INSERT INTO t5 VALUES (11, "Info", 0, 4), (13, "Digital Audio", 0, 2); CREATE TABLE t6( formattypeid int NOT NULL , name varchar(60) NOT NULL default '', priority int default NULL, PRIMARY KEY (formattypeid) ); INSERT INTO t6 VALUES (2, "Ringtones", 0); CREATE TABLE t7( metaid int NOT NULL default '0', artistid int NOT NULL default '0', PRIMARY KEY (metaid,artistid) ); INSERT INTO t7 VALUES (4, 5), (3, 4); CREATE TABLE t8( artistid int NOT NULL , name varchar(80) NOT NULL default '', PRIMARY KEY (artistid) ); INSERT INTO t8 VALUES (5, "Anastacia"), (4, "John Mayer"); CREATE TABLE t9( subgenreid int NOT NULL default '0', metaid int NOT NULL default '0', PRIMARY KEY (subgenreid,metaid) ) ; CREATE INDEX t9_subgenreid ON t9(subgenreid); CREATE INDEX t9_metaid ON t9(metaid); INSERT INTO t9 VALUES (138, 4), (31, 3); CREATE TABLE t10( subgenreid int NOT NULL , genreid int NOT NULL default '0', name varchar(80) NOT NULL default '', PRIMARY KEY (subgenreid) ) ; CREATE INDEX t10_genreid ON t10(genreid); INSERT INTO t10 VALUES (138, 19, ''), (31, 3, ''); CREATE TABLE t11( genreid int NOT NULL default '0', name char(80) NOT NULL default '', priority int NOT NULL default '0', masterclip char(1) default NULL, PRIMARY KEY (genreid) ) ; CREATE INDEX t11_masterclip ON t11( masterclip); INSERT INTO t11 VALUES (19, "Pop & Dance", 95, 'Y'), (3, "Rock & Alternative", 100, 'Y'); EXPLAIN SELECT t1.uniquekey, t1.xml AS affiliateXml, t8.name AS artistName, t8.artistid, t11.name AS genreName, t11.genreid, t11.priority AS genrePriority, t10.subgenreid, t10.name AS subgenreName, t2.name AS metaName, t2.metaid, t2.xml AS metaXml, t4.priority + t5.priority + t6.priority AS overallPriority, t3.path AS path, t3.mediaid, t4.formatid, t4.name AS formatName, t5.formatclassid, t5.name AS formatclassName, t6.formattypeid, t6.name AS formattypeName FROM t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11 WHERE t7.metaid = t2.metaid AND t7.artistid = t8.artistid AND t9.metaid = t2.metaid AND t9.subgenreid = t10.subgenreid AND t10.genreid = t11.genreid AND t3.metaid = t2.metaid AND t3.formatid = t4.formatid AND t4.formatclassid = t5.formatclassid AND t4.canaddtocapability = 'Y' AND t5.formattypeid = t6.formattypeid AND t6.formattypeid IN (2) AND (t3.formatid IN (31, 8, 76)) AND t1.metaid = t2.metaid AND t1.affiliateid = '2'; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t6 NULL system PRIMARY NULL NULL NULL 1 100.00 NULL 1 SIMPLE t1 NULL ref t1_affiliateid,t1_metaid t1_affiliateid 4 const 1 100.00 NULL 1 SIMPLE t2 NULL eq_ref PRIMARY PRIMARY 4 test.t1.metaid 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t7 NULL ref PRIMARY PRIMARY 4 test.t1.metaid 1 100.00 Using index 1 SIMPLE t8 NULL eq_ref PRIMARY PRIMARY 4 test.t7.artistid 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t4 NULL ref PRIMARY,t4_formatclassid,t4_formats_idx t4_formats_idx 1 const 1 100.00 Using where; Using join buffer (Batched Key Access (unique)) 1 SIMPLE t5 NULL eq_ref PRIMARY,t5_formattypeid PRIMARY 4 test.t4.formatclassid 1 50.00 Using where; Using join buffer (Batched Key Access (unique)) 1 SIMPLE t9 NULL ref PRIMARY,t9_subgenreid,t9_metaid t9_metaid 4 test.t1.metaid 2 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t10 NULL eq_ref PRIMARY,t10_genreid PRIMARY 4 test.t9.subgenreid 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t11 NULL eq_ref PRIMARY PRIMARY 4 test.t10.genreid 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t3 NULL ref t3_metaid,t3_formatid,t3_metaidformatid t3_metaid 4 test.t1.metaid 2 100.00 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`uniquekey` AS `uniquekey`,`test`.`t1`.`xml` AS `affiliateXml`,`test`.`t8`.`name` AS `artistName`,`test`.`t8`.`artistid` AS `artistid`,`test`.`t11`.`name` AS `genreName`,`test`.`t11`.`genreid` AS `genreid`,`test`.`t11`.`priority` AS `genrePriority`,`test`.`t10`.`subgenreid` AS `subgenreid`,`test`.`t10`.`name` AS `subgenreName`,`test`.`t2`.`name` AS `metaName`,`test`.`t2`.`metaid` AS `metaid`,`test`.`t2`.`xml` AS `metaXml`,((`test`.`t4`.`priority` + `test`.`t5`.`priority`) + '0') AS `overallPriority`,`test`.`t3`.`path` AS `path`,`test`.`t3`.`mediaid` AS `mediaid`,`test`.`t4`.`formatid` AS `formatid`,`test`.`t4`.`name` AS `formatName`,`test`.`t5`.`formatclassid` AS `formatclassid`,`test`.`t5`.`name` AS `formatclassName`,'2' AS `formattypeid`,'Ringtones' AS `formattypeName` from `test`.`t1` join `test`.`t2` join `test`.`t3` join `test`.`t4` join `test`.`t5` join `test`.`t7` join `test`.`t8` join `test`.`t9` join `test`.`t10` join `test`.`t11` where ((`test`.`t5`.`formattypeid` = 2) and (`test`.`t4`.`canaddtocapability` = 'Y') and (`test`.`t5`.`formatclassid` = `test`.`t4`.`formatclassid`) and (`test`.`t3`.`formatid` = `test`.`t4`.`formatid`) and (`test`.`t11`.`genreid` = `test`.`t10`.`genreid`) and (`test`.`t10`.`subgenreid` = `test`.`t9`.`subgenreid`) and (`test`.`t8`.`artistid` = `test`.`t7`.`artistid`) and (`test`.`t2`.`metaid` = `test`.`t1`.`metaid`) and (`test`.`t7`.`metaid` = `test`.`t1`.`metaid`) and (`test`.`t9`.`metaid` = `test`.`t1`.`metaid`) and (`test`.`t3`.`metaid` = `test`.`t1`.`metaid`) and (`test`.`t4`.`formatid` in (31,8,76)) and (`test`.`t1`.`affiliateid` = '2')) SELECT t1.uniquekey, t1.xml AS affiliateXml, t8.name AS artistName, t8.artistid, t11.name AS genreName, t11.genreid, t11.priority AS genrePriority, t10.subgenreid, t10.name AS subgenreName, t2.name AS metaName, t2.metaid, t2.xml AS metaXml, t4.priority + t5.priority + t6.priority AS overallPriority, t3.path AS path, t3.mediaid, t4.formatid, t4.name AS formatName, t5.formatclassid, t5.name AS formatclassName, t6.formattypeid, t6.name AS formattypeName FROM t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11 WHERE t7.metaid = t2.metaid AND t7.artistid = t8.artistid AND t9.metaid = t2.metaid AND t9.subgenreid = t10.subgenreid AND t10.genreid = t11.genreid AND t3.metaid = t2.metaid AND t3.formatid = t4.formatid AND t4.formatclassid = t5.formatclassid AND t4.canaddtocapability = 'Y' AND t5.formattypeid = t6.formattypeid AND t6.formattypeid IN (2) AND (t3.formatid IN (31, 8, 76)) AND t1.metaid = t2.metaid AND t1.affiliateid = '2'; uniquekey affiliateXml artistName artistid genreName genreid genrePriority subgenreid subgenreName metaName metaid metaXml overallPriority path mediaid formatid formatName formatclassid formatclassName formattypeid formattypeName DROP TABLE t1,t2,t3,t4,t5,t6,t7,t8,t9,t10,t11; CREATE TABLE t1 (a1 int, filler1 char(64) default ' ' ); CREATE TABLE t2 ( a2 int, b2 int, filler2 char(64) default ' ', PRIMARY KEY idx(a2,b2,filler2) ) ; CREATE TABLE t3 (b3 int, c3 int, INDEX idx(b3)); INSERT INTO t1(a1) VALUES (4), (7), (1), (9), (8), (5), (3), (6), (2); INSERT INTO t2(a2,b2) VALUES (1,30), (3,40), (2,61), (6,73), (8,92), (9,27), (4,18), (5,84), (7,56), (4,14), (6,76), (8,98), (7,55), (1,39), (2,68), (3,45), (9,21), (5,81), (5,88), (2,65), (6,74), (9,23), (1,37), (3,44), (4,17), (8,99), (7,51), (9,28), (7,52), (1,33), (4,13), (5,87), (3,43), (8,91), (2,62), (6,79), (3,49), (8,93), (7,34), (5,82), (6,78), (2,63), (1,32), (9,22), (4,11); INSERT INTO t3 VALUES (30,302), (92,923), (18,187), (45,459), (30,309), (39,393), (68,685), (45,458), (21,210), (81,817), (40,405), (61,618), (73,738), (92,929), (27,275), (18,188), (84,846), (56,564), (14,144), (76,763), (98,982), (55,551), (17,174), (99,998), (51,513), (28,282), (52,527), (33,336), (13,138), (87,878), (43,431), (91,916), (62,624), (79,797), (49,494), (93,933), (34,347), (82,829), (78,780), (63,634), (32,329), (22,228), (11,114), (74,749), (23,236); EXPLAIN SELECT a1<>a2, a1, a2, b2, b3, c3, SUBSTR(filler1,1,1) AS s1, SUBSTR(filler2,1,1) AS s2 FROM t1,t2,t3 WHERE a1=a2 AND b2=b3 AND MOD(c3,10)>7; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 9 100.00 Using where 1 SIMPLE t2 NULL ref PRIMARY PRIMARY 4 test.t1.a1 1 100.00 Using index 1 SIMPLE t3 NULL ref idx idx 5 test.t2.b2 5 100.00 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select (`test`.`t1`.`a1` <> `test`.`t2`.`a2`) AS `a1<>a2`,`test`.`t1`.`a1` AS `a1`,`test`.`t2`.`a2` AS `a2`,`test`.`t2`.`b2` AS `b2`,`test`.`t3`.`b3` AS `b3`,`test`.`t3`.`c3` AS `c3`,substr(`test`.`t1`.`filler1`,1,1) AS `s1`,substr(`test`.`t2`.`filler2`,1,1) AS `s2` from `test`.`t1` join `test`.`t2` join `test`.`t3` where ((`test`.`t3`.`b3` = `test`.`t2`.`b2`) and (`test`.`t2`.`a2` = `test`.`t1`.`a1`) and ((`test`.`t3`.`c3` % 10) > 7)) SELECT a1<>a2, a1, a2, b2, b3, c3, SUBSTR(filler1,1,1) AS s1, SUBSTR(filler2,1,1) AS s2 FROM t1,t2,t3 WHERE a1=a2 AND b2=b3 AND MOD(c3,10)>7; a1<>a2 a1 a2 b2 b3 c3 s1 s2 0 1 1 30 30 309 0 1 1 32 32 329 0 2 2 61 61 618 0 3 3 45 45 458 0 3 3 45 45 459 0 4 4 13 13 138 0 4 4 18 18 188 0 5 5 82 82 829 0 5 5 87 87 878 0 6 6 73 73 738 0 6 6 74 74 749 0 8 8 92 92 929 0 8 8 99 99 998 0 9 9 22 22 228 set join_buffer_size=512; EXPLAIN SELECT a1<>a2, a1, a2, b2, b3, c3, SUBSTR(filler1,1,1) AS s1, SUBSTR(filler2,1,1) AS s2 FROM t1,t2,t3 WHERE a1=a2 AND b2=b3 AND MOD(c3,10)>7; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 9 100.00 Using where 1 SIMPLE t2 NULL ref PRIMARY PRIMARY 4 test.t1.a1 1 100.00 Using index 1 SIMPLE t3 NULL ref idx idx 5 test.t2.b2 5 100.00 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select (`test`.`t1`.`a1` <> `test`.`t2`.`a2`) AS `a1<>a2`,`test`.`t1`.`a1` AS `a1`,`test`.`t2`.`a2` AS `a2`,`test`.`t2`.`b2` AS `b2`,`test`.`t3`.`b3` AS `b3`,`test`.`t3`.`c3` AS `c3`,substr(`test`.`t1`.`filler1`,1,1) AS `s1`,substr(`test`.`t2`.`filler2`,1,1) AS `s2` from `test`.`t1` join `test`.`t2` join `test`.`t3` where ((`test`.`t3`.`b3` = `test`.`t2`.`b2`) and (`test`.`t2`.`a2` = `test`.`t1`.`a1`) and ((`test`.`t3`.`c3` % 10) > 7)) SELECT a1<>a2, a1, a2, b2, b3, c3, SUBSTR(filler1,1,1) AS s1, SUBSTR(filler2,1,1) AS s2 FROM t1,t2,t3 WHERE a1=a2 AND b2=b3 AND MOD(c3,10)>7; a1<>a2 a1 a2 b2 b3 c3 s1 s2 0 1 1 30 30 309 0 1 1 32 32 329 0 2 2 61 61 618 0 3 3 45 45 458 0 3 3 45 45 459 0 4 4 13 13 138 0 4 4 18 18 188 0 5 5 82 82 829 0 5 5 87 87 878 0 6 6 73 73 738 0 6 6 74 74 749 0 8 8 92 92 929 0 8 8 99 99 998 0 9 9 22 22 228 DROP TABLE t1,t2,t3; CREATE TABLE t1 (a int, b int, INDEX idx(b)); CREATE TABLE t2 (a int, b int, INDEX idx(a)); INSERT INTO t1 VALUES (5,30), (3,20), (7,40), (2,10), (8,30), (1,10), (4,20); INSERT INTO t2 VALUES (7,10), (1,20), (2,20), (8,20), (8,10), (1,20); INSERT INTO t2 VALUES (1,10), (4,20), (3,20), (7,20), (7,10), (1,20); set join_buffer_size=32; Warnings: Warning 1292 Truncated incorrect join_buffer_size value: '32' EXPLAIN SELECT * FROM t1,t2 WHERE t1.a=t2.a AND t1.b >= 30; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL range idx idx 5 NULL 4 100.00 Using index condition; Using where; Using MRR 1 SIMPLE t2 NULL ref idx idx 5 test.t1.a 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` join `test`.`t2` where ((`test`.`t2`.`a` = `test`.`t1`.`a`) and (`test`.`t1`.`b` >= 30)) SELECT * FROM t1,t2 WHERE t1.a=t2.a AND t1.b >= 30; a b a b 7 40 7 10 7 40 7 10 7 40 7 20 8 30 8 10 8 30 8 20 DROP TABLE t1,t2; BUG#40136: Group by is ignored when join buffer is used for an outer join create table t1(a int PRIMARY KEY, b int); insert into t1 values (5, 10), (2, 70), (7, 80), (6, 20), (1, 50), (9, 40), (8, 30), (3, 60); create table t2 (p int, a int, INDEX i_a(a)); insert into t2 values (103, 7), (109, 3), (102, 3), (108, 1), (106, 3), (107, 7), (105, 1), (101, 3), (100, 7), (110, 1); explain select t1.a, count(t2.p) as count from t1 left join t2 on t1.a=t2.a and t2.p % 2 = 1 group by t1.a; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL index PRIMARY PRIMARY 4 NULL 8 100.00 Using index; Using temporary; Using filesort 1 SIMPLE t2 NULL ALL i_a NULL NULL NULL 10 100.00 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,count(`test`.`t2`.`p`) AS `count` from `test`.`t1` left join `test`.`t2` on(((`test`.`t2`.`a` = `test`.`t1`.`a`) and ((`test`.`t2`.`p` % 2) = 1))) where 1 group by `test`.`t1`.`a` select t1.a, count(t2.p) as count from t1 left join t2 on t1.a=t2.a and t2.p % 2 = 1 group by t1.a; a count 1 1 2 0 3 2 5 0 6 0 7 2 8 0 9 0 drop table t1, t2; # # Bug #40134: outer join with not exists optimization and join buffer # set join_buffer_size=default; CREATE TABLE t1 (a int NOT NULL); INSERT INTO t1 VALUES (2), (4), (3), (5), (1); CREATE TABLE t2 (a int NOT NULL, b int NOT NULL, INDEX i_a(a)); INSERT INTO t2 VALUES (4,10), (2,10), (2,30), (2,20), (4,20); EXPLAIN SELECT * FROM t1 LEFT JOIN t2 ON t1.a=t2.a WHERE t2.b IS NULL; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 5 100.00 NULL 1 SIMPLE t2 NULL ALL i_a NULL NULL NULL 5 20.00 Using where; Not exists; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` left join `test`.`t2` on((`test`.`t2`.`a` = `test`.`t1`.`a`)) where isnull(`test`.`t2`.`b`) SELECT * FROM t1 LEFT JOIN t2 ON t1.a=t2.a WHERE t2.b IS NULL; a a b 3 NULL NULL 5 NULL NULL 1 NULL NULL DROP TABLE t1, t2; # # BUG#40268: Nested outer join with not null-rejecting where condition # over an inner table which is not the last in the nest # CREATE TABLE t2 (a int, b int, c int); CREATE TABLE t3 (a int, b int, c int); CREATE TABLE t4 (a int, b int, c int); INSERT INTO t2 VALUES (3,3,0), (4,2,0), (5,3,0); INSERT INTO t3 VALUES (1,2,0), (2,2,0); INSERT INTO t4 VALUES (3,2,0), (4,2,0); SELECT t2.a,t2.b,t3.a,t3.b,t4.a,t4.b FROM t2 LEFT JOIN (t3, t4) ON t2.b=t4.b WHERE t3.a+2= t1.f1 + 1; f1 f2 f3 1 1 qwerty 1 1 qwerty 2 2 qwerty 2 2 qwerty explain select t2.f1, t2.f2, t2.f3 from t1,t2 where t1.f1=t2.f1 and t2.f2 between t1.f1 and t2.f2; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 3 100.00 Using where 1 SIMPLE t2 NULL ref f1 f1 4 test.t1.f1 3 11.11 Using index condition; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t2`.`f1` AS `f1`,`test`.`t2`.`f2` AS `f2`,`test`.`t2`.`f3` AS `f3` from `test`.`t1` join `test`.`t2` where ((`test`.`t2`.`f1` = `test`.`t1`.`f1`) and (`test`.`t2`.`f2` between `test`.`t1`.`f1` and `test`.`t2`.`f2`)) drop table t1,t2; # # Bug #42955: join with GROUP BY/ORDER BY and when BKA is enabled # create table t1 (d int, id1 int, index idx1 (d, id1)); insert into t1 values (3, 20), (2, 40), (3, 10), (1, 10), (3, 20), (1, 40), (2, 30), (3, 30); create table t2 (id1 int, id2 int, index idx2 (id1)); insert into t2 values (20, 100), (30, 400), (20, 400), (30, 200), (10, 300), (10, 200), (40, 100), (40, 200), (30, 300), (10, 400), (20, 200), (20, 300); explain select t1.id1, sum(t2.id2) from t1 join t2 on t1.id1=t2.id1 where t1.d=3 group by t1.id1; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ref idx1 idx1 5 const 4 100.00 Using where; Using index; Using temporary; Using filesort 1 SIMPLE t2 NULL ref idx2 idx2 5 test.t1.id1 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`id1` AS `id1`,sum(`test`.`t2`.`id2`) AS `sum(t2.id2)` from `test`.`t1` join `test`.`t2` where ((`test`.`t2`.`id1` = `test`.`t1`.`id1`) and (`test`.`t1`.`d` = 3)) group by `test`.`t1`.`id1` select t1.id1, sum(t2.id2) from t1 join t2 on t1.id1=t2.id1 where t1.d=3 group by t1.id1; id1 sum(t2.id2) 10 900 20 2000 30 900 explain select t1.id1 from t1 join t2 on t1.id1=t2.id1 where t1.d=3 and t2.id2 > 200 order by t1.id1; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ref idx1 idx1 5 const 4 100.00 Using index; Using temporary; Using filesort 1 SIMPLE t2 NULL ALL idx2 NULL NULL NULL 12 8.33 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`id1` AS `id1` from `test`.`t1` join `test`.`t2` where ((`test`.`t2`.`id1` = `test`.`t1`.`id1`) and (`test`.`t1`.`d` = 3) and (`test`.`t2`.`id2` > 200)) order by `test`.`t1`.`id1` select t1.id1 from t1 join t2 on t1.id1=t2.id1 where t1.d=3 and t2.id2 > 200 order by t1.id1; id1 10 10 20 20 20 20 30 30 drop table t1,t2; # # Bug #44019: star-like multi-join query executed optimizer_join_cache_level=6 # create table t1 (a int, b int, c int, d int); create table t2 (b int, e varchar(16), index idx(b)); create table t3 (d int, f varchar(16), index idx(d)); create table t4 (c int, g varchar(16), index idx(c)); insert into t1 values (5, 50, 500, 5000), (3, 30, 300, 3000), (9, 90, 900, 9000), (2, 20, 200, 2000), (4, 40, 400, 4000), (8, 80, 800, 800), (7, 70, 700, 7000); insert into t2 values (30, 'bbb'), (10, 'b'), (70, 'bbbbbbb'), (60, 'bbbbbb'), (31, 'bbb'), (11, 'b'), (71, 'bbbbbbb'), (61, 'bbbbbb'), (32, 'bbb'), (12, 'b'), (72, 'bbbbbbb'), (62, 'bbbbbb'); insert into t3 values (4000, 'dddd'), (3000, 'ddd'), (1000, 'd'), (8000, 'dddddddd'), (4001, 'dddd'), (3001, 'ddd'), (1001, 'd'), (8001, 'dddddddd'), (4002, 'dddd'), (3002, 'ddd'), (1002, 'd'), (8002, 'dddddddd'); insert into t4 values (200, 'cc'), (600, 'cccccc'), (300, 'ccc'), (500, 'ccccc'), (201, 'cc'), (601, 'cccccc'), (301, 'ccc'), (501, 'ccccc'), (202, 'cc'), (602, 'cccccc'), (302, 'ccc'), (502, 'ccccc'); analyze table t2,t3,t4; explain select t1.a, t1.b, t1.c, t1.d, t2.e, t3.f, t4.g from t1,t2,t3,t4 where t2.b=t1.b and t3.d=t1.d and t4.c=t1.c; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 7 100.00 Using where 1 SIMPLE t2 NULL ref idx idx 5 test.t1.b 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t3 NULL ref idx idx 5 test.t1.d 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t4 NULL ref idx idx 5 test.t1.c 1 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b`,`test`.`t1`.`c` AS `c`,`test`.`t1`.`d` AS `d`,`test`.`t2`.`e` AS `e`,`test`.`t3`.`f` AS `f`,`test`.`t4`.`g` AS `g` from `test`.`t1` join `test`.`t2` join `test`.`t3` join `test`.`t4` where ((`test`.`t4`.`c` = `test`.`t1`.`c`) and (`test`.`t3`.`d` = `test`.`t1`.`d`) and (`test`.`t2`.`b` = `test`.`t1`.`b`)) select t1.a, t1.b, t1.c, t1.d, t2.e, t3.f, t4.g from t1,t2,t3,t4 where t2.b=t1.b and t3.d=t1.d and t4.c=t1.c; a b c d e f g 3 30 300 3000 bbb ddd ccc drop table t1,t2,t3,t4; # # Bug #44250: Corruption of linked join buffers when using BKA # CREATE TABLE t1 ( id1 bigint(20) DEFAULT NULL, id2 bigint(20) DEFAULT NULL, id3 bigint(20) DEFAULT NULL, num1 bigint(20) DEFAULT NULL, num2 int(11) DEFAULT NULL, num3 bigint(20) DEFAULT NULL ); CREATE TABLE t2 ( id3 bigint(20) NOT NULL DEFAULT '0', id4 bigint(20) DEFAULT NULL, enum1 enum('Enabled','Disabled','Paused') DEFAULT NULL, PRIMARY KEY (id3) ); CREATE TABLE t3 ( id4 bigint(20) NOT NULL DEFAULT '0', text1 text, PRIMARY KEY (id4) ); CREATE TABLE t4 ( id2 bigint(20) NOT NULL DEFAULT '0', dummy int(11) DEFAULT '0', PRIMARY KEY (id2) ); CREATE TABLE t5 ( id1 bigint(20) NOT NULL DEFAULT '0', id2 bigint(20) NOT NULL DEFAULT '0', enum2 enum('Active','Deleted','Paused') DEFAULT NULL, PRIMARY KEY (id1,id2) ); set join_buffer_size=2048; EXPLAIN SELECT STRAIGHT_JOIN t1.id1, t1.num3, t3.text1, t3.id4, t2.id3, t4.dummy FROM t1 JOIN t2 JOIN t3 JOIN t4 JOIN t5 WHERE t1.id1=t5.id1 AND t1.id2=t5.id2 and t4.id2=t1.id2 AND t5.enum2='Active' AND t3.id4=t2.id4 AND t2.id3=t1.id3 AND t3.text1<'D'; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 349 100.00 Using where 1 SIMPLE t2 NULL eq_ref PRIMARY PRIMARY 8 test.t1.id3 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t3 NULL ALL PRIMARY NULL NULL NULL 13 7.69 Using where; Using join buffer (Block Nested Loop) 1 SIMPLE t4 NULL eq_ref PRIMARY PRIMARY 8 test.t1.id2 1 100.00 Using join buffer (Batched Key Access (unique)) 1 SIMPLE t5 NULL eq_ref PRIMARY PRIMARY 16 test.t1.id1,test.t1.id2 1 33.33 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select straight_join `test`.`t1`.`id1` AS `id1`,`test`.`t1`.`num3` AS `num3`,`test`.`t3`.`text1` AS `text1`,`test`.`t3`.`id4` AS `id4`,`test`.`t2`.`id3` AS `id3`,`test`.`t4`.`dummy` AS `dummy` from `test`.`t1` join `test`.`t2` join `test`.`t3` join `test`.`t4` join `test`.`t5` where ((`test`.`t2`.`id3` = `test`.`t1`.`id3`) and (`test`.`t3`.`id4` = `test`.`t2`.`id4`) and (`test`.`t5`.`enum2` = 'Active') and (`test`.`t4`.`id2` = `test`.`t1`.`id2`) and (`test`.`t5`.`id2` = `test`.`t1`.`id2`) and (`test`.`t5`.`id1` = `test`.`t1`.`id1`) and (`test`.`t3`.`text1` < 'D')) SELECT STRAIGHT_JOIN t1.id1, t1.num3, t3.text1, t3.id4, t2.id3, t4.dummy FROM t1 JOIN t2 JOIN t3 JOIN t4 JOIN t5 WHERE t1.id1=t5.id1 AND t1.id2=t5.id2 and t4.id2=t1.id2 AND t5.enum2='Active' AND t3.id4=t2.id4 AND t2.id3=t1.id3 AND t3.text1<'D'; id1 num3 text1 id4 id3 dummy 228172702 134 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 2567095402 2667134182 0 228172702 14 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 2567095402 2667134182 0 228172702 15 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 2567095402 2667134182 0 228172702 3 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 2567095402 2667134182 0 228808822 1 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 1 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 1 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 10 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 13 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 13 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 14 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 17 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 18 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 19 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 26 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 28 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 3 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 3 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 3 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 3 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 4 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 4 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 4 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 50 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 6 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 60 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 61 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 826928662 935693782 0 228808822 62 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 84 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 89 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 228808822 9 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 2381969632 2482416112 0 set join_buffer_size=default; DROP TABLE t1,t2,t3,t4,t5; # # Bug #46328: Use of aggregate function without GROUP BY clause # returns many rows (vs. one ) # CREATE TABLE t1 ( int_key int(11) NOT NULL, KEY int_key (int_key) ); INSERT INTO t1 VALUES (0),(2),(2),(2),(3),(4),(5),(5),(6),(6),(8),(8),(9),(9); CREATE TABLE t2 ( int_key int(11) NOT NULL, KEY int_key (int_key) ); INSERT INTO t2 VALUES (2),(3); # The query shall return 1 record with a max value 9 and one of the # int_key values inserted above (undefined which one). A changed # execution plan may change the value in the second column SELECT MAX(t1.int_key), t1.int_key FROM t1 STRAIGHT_JOIN t2 ORDER BY t1.int_key; MAX(t1.int_key) int_key 9 0 explain SELECT MAX(t1.int_key), t1.int_key FROM t1 STRAIGHT_JOIN t2 ORDER BY t1.int_key; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL index NULL int_key 4 NULL 14 100.00 Using index 1 SIMPLE t2 NULL index NULL int_key 4 NULL 2 100.00 Using index; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select max(`test`.`t1`.`int_key`) AS `MAX(t1.int_key)`,`test`.`t1`.`int_key` AS `int_key` from `test`.`t1` straight_join `test`.`t2` DROP TABLE t1,t2; # # Bug #45019: join buffer contains two blob columns one of which is # used in the key employed to access the joined table # CREATE TABLE t1 (c1 int, c2 int, key (c2)); INSERT INTO t1 VALUES (1,1); INSERT INTO t1 VALUES (2,2); CREATE TABLE t2 (c1 text, c2 text); INSERT INTO t2 VALUES('tt', 'uu'); INSERT INTO t2 VALUES('zzzz', 'xxxxxxxxx'); ANALYZE TABLE t1,t2; SELECT t1.*, t2.*, LENGTH(t2.c1), LENGTH(t2.c2) FROM t1,t2 WHERE t1.c2=LENGTH(t2.c2) and t1.c1=LENGTH(t2.c1); c1 c2 c1 c2 LENGTH(t2.c1) LENGTH(t2.c2) 2 2 tt uu 2 2 DROP TABLE t1,t2; # # Regression test for # Bug#46733 - NULL value not returned for aggregate on empty result # set w/ semijoin on CREATE TABLE t1 ( i int(11) NOT NULL, v varchar(1) DEFAULT NULL, PRIMARY KEY (i) ); INSERT INTO t1 VALUES (10,'a'),(11,'b'),(12,'c'),(13,'d'); CREATE TABLE t2 ( i int(11) NOT NULL, v varchar(1) DEFAULT NULL, PRIMARY KEY (i) ); INSERT INTO t2 VALUES (1,'x'),(2,'y'); SELECT MAX(t1.i) FROM t1 JOIN t2 ON t2.v ORDER BY t2.v; MAX(t1.i) NULL Warnings: Warning 1292 Truncated incorrect INTEGER value: 'x' Warning 1292 Truncated incorrect INTEGER value: 'y' EXPLAIN SELECT MAX(t1.i) FROM t1 JOIN t2 ON t2.v ORDER BY t2.v; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 2 50.00 Using where 1 SIMPLE t1 NULL index NULL PRIMARY 4 NULL 4 100.00 Using index; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select max(`test`.`t1`.`i`) AS `MAX(t1.i)` from `test`.`t1` join `test`.`t2` where `test`.`t2`.`v` DROP TABLE t1,t2; # # Bug#51092: Linked join buffer gives wrong result # for 3-way cross join # CREATE TABLE t1 (a INT, b INT); INSERT INTO t1 VALUES (1,1),(2,2); CREATE TABLE t2 (a INT, b INT); INSERT INTO t2 VALUES (1,1),(2,2); CREATE TABLE t3 (a INT, b INT); INSERT INTO t3 VALUES (1,1),(2,2); EXPLAIN SELECT t1.* FROM t1,t2,t3; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 2 100.00 Using join buffer (Block Nested Loop) 1 SIMPLE t3 NULL ALL NULL NULL NULL NULL 2 100.00 Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` join `test`.`t2` join `test`.`t3` SELECT t1.* FROM t1,t2,t3; a b 1 1 2 2 1 1 2 2 1 1 2 2 1 1 2 2 DROP TABLE t1,t2,t3; # # BUG#52394 Segfault in JOIN_CACHE::get_offset () at sql_select.h:445 # CREATE TABLE C(a int); INSERT INTO C VALUES(1),(2),(3),(4),(5); CREATE TABLE D (a int(11), b varchar(1)); INSERT INTO D VALUES (6,'r'),(27,'o'); CREATE TABLE E (a int(11) primary key, b varchar(1)); INSERT INTO E VALUES (14,'d'),(15,'z'),(16,'e'),(17,'h'),(18,'b'),(19,'s'),(20,'e'),(21,'j'),(22,'e'),(23,'f'),(24,'v'),(25,'x'),(26,'m'),(27,'c'); SELECT 1 FROM C,D,E WHERE D.a = E.a AND D.b = E.b; 1 DROP TABLE C,D,E; # # BUG#52540 Crash in JOIN_CACHE::set_match_flag_if_none () at sql_join_cache.cc:1883 # CREATE TABLE t1 (a int); INSERT INTO t1 VALUES (2); CREATE TABLE t2 (a varchar(10)); INSERT INTO t2 VALUES ('f'),('x'); CREATE TABLE t3 (pk int(11) PRIMARY KEY); INSERT INTO t3 VALUES (2); CREATE TABLE t4 (a varchar(10)); EXPLAIN SELECT 1 FROM t2 LEFT JOIN ((t1 JOIN t3 ON t1.a = t3.pk) LEFT JOIN t4 ON 1 ) ON 1 ; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 1 100.00 Using where 1 SIMPLE t3 NULL eq_ref PRIMARY PRIMARY 4 test.t1.a 1 100.00 Using index 1 SIMPLE t4 NULL ALL NULL NULL NULL NULL 0 0.00 Using where Warnings: Note 1003 /* select#1 */ select 1 AS `1` from `test`.`t2` left join (`test`.`t1` join `test`.`t3` left join `test`.`t4` on(1)) on(((`test`.`t3`.`pk` = `test`.`t1`.`a`) and 1)) where 1 SELECT 1 FROM t2 LEFT JOIN ((t1 JOIN t3 ON t1.a = t3.pk) LEFT JOIN t4 ON 1 ) ON 1 ; 1 1 1 DROP TABLE t1,t2,t3,t4; # # Bug#51084: Batched key access crashes for SELECT with # derived table and LEFT JOIN # CREATE TABLE t1 ( carrier int, id int PRIMARY KEY ); INSERT INTO t1 VALUES (1,11),(1,12),(2,13); CREATE TABLE t2 ( scan_date int, package_id int ); INSERT INTO t2 VALUES (2008,21),(2008,22); CREATE TABLE t3 ( carrier int PRIMARY KEY, id int ); INSERT INTO t3 VALUES (1,31); CREATE TABLE t4 ( carrier_id int, INDEX carrier_id(carrier_id) ); INSERT INTO t4 VALUES (31),(32); SELECT COUNT(*) FROM (t2 JOIN t1) LEFT JOIN (t3 JOIN t4 ON t3.id = t4.carrier_id) ON t3.carrier = t1.carrier; COUNT(*) 6 EXPLAIN SELECT COUNT(*) FROM (t2 JOIN t1) LEFT JOIN (t3 JOIN t4 ON t3.id = t4.carrier_id) ON t3.carrier = t1.carrier; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 3 100.00 Using join buffer (Block Nested Loop) 1 SIMPLE t3 NULL ALL PRIMARY NULL NULL NULL 1 100.00 Using where; Using join buffer (Block Nested Loop) 1 SIMPLE t4 NULL index carrier_id carrier_id 5 NULL 2 100.00 Using where; Using index; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select count(0) AS `COUNT(*)` from `test`.`t2` join `test`.`t1` left join (`test`.`t3` join `test`.`t4`) on(((`test`.`t4`.`carrier_id` = `test`.`t3`.`id`) and (`test`.`t3`.`carrier` = `test`.`t1`.`carrier`))) where 1 DROP TABLE t1,t2,t3,t4; # # Bug#45267: Incomplete check caused wrong result. # CREATE TABLE t1 ( `pk` int(11) NOT NULL AUTO_INCREMENT PRIMARY KEY ); CREATE TABLE t3 ( `pk` int(11) NOT NULL AUTO_INCREMENT PRIMARY KEY ); INSERT INTO t3 VALUES (1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12),(13),(14),(15), (16),(17),(18),(19),(20); CREATE TABLE t2 ( `pk` int(11) NOT NULL AUTO_INCREMENT, `int_nokey` int(11) NOT NULL, `time_key` time NOT NULL, PRIMARY KEY (`pk`), KEY `time_key` (`time_key`) ); INSERT INTO t2 VALUES (10,9,'22:36:46'),(11,0,'08:46:46'); SELECT DISTINCT t1.`pk` FROM t1 RIGHT JOIN t2 STRAIGHT_JOIN t3 ON t2.`int_nokey` ON t2.`time_key` GROUP BY 1; pk NULL DROP TABLE IF EXISTS t1, t2, t3; # # BUG#52636 6.0 allowing JOINs on NULL values w/ optimizer_join_cache_level = 5-8 # CREATE TABLE t1 (b int); INSERT INTO t1 VALUES (NULL),(3); CREATE TABLE t2 (a int, b int, KEY (b)); INSERT INTO t2 VALUES (100,NULL),(150,200); EXPLAIN SELECT t2.a FROM t1 LEFT JOIN t2 FORCE INDEX (b) ON t2.b = t1.b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 SIMPLE t2 NULL ref b b 5 test.t1.b 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t2`.`a` AS `a` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`b`) on((`test`.`t2`.`b` = `test`.`t1`.`b`)) where 1 SELECT t2.a FROM t1 LEFT JOIN t2 FORCE INDEX (b) ON t2.b = t1.b; a NULL NULL delete from t1; INSERT INTO t1 VALUES (NULL),(NULL); EXPLAIN SELECT t2.a FROM t1 LEFT JOIN t2 FORCE INDEX (b) ON t2.b = t1.b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 SIMPLE t2 NULL ref b b 5 test.t1.b 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t2`.`a` AS `a` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`b`) on((`test`.`t2`.`b` = `test`.`t1`.`b`)) where 1 SELECT t2.a FROM t1 LEFT JOIN t2 FORCE INDEX (b) ON t2.b = t1.b; a NULL NULL DROP TABLE t1,t2; CREATE TABLE t1 (b varchar(100)); INSERT INTO t1 VALUES (NULL),("some varchar"); CREATE TABLE t2 (a int, b varchar(100), KEY (b)); INSERT INTO t2 VALUES (100,NULL),(150,"varchar"),(200,NULL),(250,"long long varchar"); explain SELECT t2.a FROM t1 LEFT JOIN t2 ON t2.b = t1.b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 SIMPLE t2 NULL ALL b NULL NULL NULL 4 100.00 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`t2`.`a` AS `a` from `test`.`t1` left join `test`.`t2` on((`test`.`t2`.`b` = `test`.`t1`.`b`)) where 1 SELECT t2.a FROM t1 LEFT JOIN t2 ON t2.b = t1.b; a NULL NULL DROP TABLE t1,t2; # # BUG#54359 "Extra rows with join_cache_level=7,8 and two joins # --and multi-column index" # CREATE TABLE t1 ( `pk` int(11) NOT NULL, `col_int_key` int(11) DEFAULT NULL, `col_varchar_key` varchar(1) DEFAULT NULL, `col_varchar_nokey` varchar(1) DEFAULT NULL, KEY `col_varchar_key` (`col_varchar_key`,`col_int_key`)) ; INSERT INTO t1 VALUES (4,9,'k','k'); INSERT INTO t1 VALUES (12,5,'k','k'); explain SELECT table2 .`col_int_key` FROM t1 table2, t1 table3 force index (`col_varchar_key`) where table3 .`pk` and table3 .`col_int_key` >= table2 .`pk` and table3 .`col_varchar_key` = table2 .`col_varchar_nokey`; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE table3 NULL ALL col_varchar_key NULL NULL NULL 2 50.00 Using where 1 SIMPLE table2 NULL ALL NULL NULL NULL NULL 2 50.00 Using where; Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`table2`.`col_int_key` AS `col_int_key` from `test`.`t1` `table2` join `test`.`t1` `table3` FORCE INDEX (`col_varchar_key`) where ((`test`.`table2`.`col_varchar_nokey` = `test`.`table3`.`col_varchar_key`) and `test`.`table3`.`pk` and (`test`.`table3`.`col_int_key` >= `test`.`table2`.`pk`)) SELECT table2 .`col_int_key` FROM t1 table2, t1 table3 force index (`col_varchar_key`) where table3 .`pk` and table3 .`col_int_key` >= table2 .`pk` and table3 .`col_varchar_key` = table2 .`col_varchar_nokey`; col_int_key 9 9 drop table t1; # # BUG#54481 "GROUP BY loses effect with JOIN + ORDER BY + LIMIT # and join_cache_level=5-8" # CREATE TABLE t1 ( `col_int_key` int, `col_datetime` datetime, KEY `col_int_key` (`col_int_key`) ); INSERT INTO t1 VALUES (2,'2003-02-11 21:19:41'); INSERT INTO t1 VALUES (3,'2009-10-18 02:27:49'); INSERT INTO t1 VALUES (0,'2000-09-26 07:45:57'); CREATE TABLE t2 ( `col_int` int, `col_int_key` int, KEY `col_int_key` (`col_int_key`) ); INSERT INTO t2 VALUES (14,1); INSERT INTO t2 VALUES (98,1); explain SELECT t1.col_int_key, t1.col_datetime FROM t1,t2 WHERE t2.col_int_key = 1 AND t2.col_int >= 3 GROUP BY t1.col_int_key ORDER BY t1.col_int_key, t1.col_datetime LIMIT 2; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t2 NULL ref col_int_key col_int_key 5 const 1 50.00 Using where; Using temporary; Using filesort 1 SIMPLE t1 NULL ALL col_int_key NULL NULL NULL 3 100.00 Using join buffer (Block Nested Loop) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`col_int_key` AS `col_int_key`,`test`.`t1`.`col_datetime` AS `col_datetime` from `test`.`t1` join `test`.`t2` where ((`test`.`t2`.`col_int_key` = 1) and (`test`.`t2`.`col_int` >= 3)) group by `test`.`t1`.`col_int_key` order by `test`.`t1`.`col_int_key`,`test`.`t1`.`col_datetime` limit 2 SELECT t1.col_int_key, t1.col_datetime FROM t1,t2 WHERE t2.col_int_key = 1 AND t2.col_int >= 3 GROUP BY t1.col_int_key ORDER BY t1.col_int_key, t1.col_datetime LIMIT 2; col_int_key col_datetime 0 2000-09-26 07:45:57 2 2003-02-11 21:19:41 explain SELECT t1.col_int_key, t1.col_datetime FROM t1 force index (col_int_key), t2 ignore index (col_int_key) WHERE t2.col_int_key = 1 AND t2.col_int >= 3 GROUP BY t1.col_int_key ORDER BY t1.col_int_key, t1.col_datetime LIMIT 2; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL index col_int_key col_int_key 5 NULL 3 100.00 Using temporary; Using filesort 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 2 50.00 Using where Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`col_int_key` AS `col_int_key`,`test`.`t1`.`col_datetime` AS `col_datetime` from `test`.`t1` FORCE INDEX (`col_int_key`) join `test`.`t2` IGNORE INDEX (`col_int_key`) where ((`test`.`t2`.`col_int_key` = 1) and (`test`.`t2`.`col_int` >= 3)) group by `test`.`t1`.`col_int_key` order by `test`.`t1`.`col_int_key`,`test`.`t1`.`col_datetime` limit 2 SELECT t1.col_int_key, t1.col_datetime FROM t1 force index (col_int_key), t2 ignore index (col_int_key) WHERE t2.col_int_key = 1 AND t2.col_int >= 3 GROUP BY t1.col_int_key ORDER BY t1.col_int_key, t1.col_datetime LIMIT 2; col_int_key col_datetime 0 2000-09-26 07:45:57 2 2003-02-11 21:19:41 drop table t1,t2; # Bug#11766522 "59651: ASSERTION `TABLE_REF->HAS_RECORD' FAILED # WITH JOIN_CACHE_LEVEL=3" CREATE TABLE t1 ( b varchar(20) ) ; INSERT INTO t1 VALUES ('1'),('1'); CREATE TABLE t4 ( col253 text ) ; INSERT INTO t4 VALUES (''),('pf'); CREATE TABLE t6 ( col282 timestamp ) ; INSERT INTO t6 VALUES ('2010-11-07 01:04:45'),('2010-12-13 01:36:32'); CREATE TABLE t7 ( col319 timestamp NOT NULL, UNIQUE KEY idx263 (col319) ) ; insert into t7 values("2000-01-01"),("2000-01-02"); CREATE TABLE t3 ( col582 char(230) CHARACTER SET utf8 DEFAULT NULL ) ; INSERT INTO t3 VALUES ('cymej'),('spb'); CREATE TABLE t5 ( col712 time ) ; insert into t5 values(0),(0); CREATE TABLE t8 ( col804 char(169), col805 varchar(51) ) ; INSERT INTO t8 VALUES ('tmqcb','pwk'); CREATE TABLE t2 ( col841 varchar(10) ) ; INSERT INTO t2 VALUES (''),(''); set join_buffer_size=1; Warnings: Warning 1292 Truncated incorrect join_buffer_size value: '1' select @@join_buffer_size; @@join_buffer_size 128 select count(*) from (t1 join t2 join t3) left join t4 on 1 left join t5 on 1 like t4.col253 left join t6 on t5.col712 is null left join t7 on t1.b <=>t7.col319 left join t8 on t3.col582 <= 1; count(*) 32 drop table t1,t2,t3,t4,t5,t6,t7,t8; # # Bug#12616131 - JCL: NULL VS DATE + TWICE AS MANY ROWS # RETURNED WHEN JCL>=7 # CREATE TABLE t1 (t1a int, t1b int); INSERT INTO t1 VALUES (99, NULL),(99, 3),(99,0); CREATE TABLE t2 (t2a int, t2b int, KEY idx (t2b)); INSERT INTO t2 VALUES (100,0),(150,200),(999, 0),(999, NULL); # t2b is NULL-able EXPLAIN SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b = t1.t1b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 3 100.00 NULL 1 SIMPLE t2 NULL ref idx idx 5 test.t1.t1b 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`t1a` AS `t1a`,`test`.`t1`.`t1b` AS `t1b`,`test`.`t2`.`t2a` AS `t2a`,`test`.`t2`.`t2b` AS `t2b` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`idx`) on((`test`.`t2`.`t2b` = `test`.`t1`.`t1b`)) where 1 SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b = t1.t1b; t1a t1b t2a t2b 99 0 100 0 99 0 999 0 99 NULL NULL NULL 99 3 NULL NULL EXPLAIN SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b <=> t1.t1b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 3 100.00 NULL 1 SIMPLE t2 NULL ref idx idx 5 test.t1.t1b 2 100.00 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`t1a` AS `t1a`,`test`.`t1`.`t1b` AS `t1b`,`test`.`t2`.`t2a` AS `t2a`,`test`.`t2`.`t2b` AS `t2b` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`idx`) on((`test`.`t2`.`t2b` <=> `test`.`t1`.`t1b`)) where 1 SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b <=> t1.t1b; t1a t1b t2a t2b 99 0 100 0 99 0 999 0 99 NULL 999 NULL 99 3 NULL NULL DROP TABLE t2; CREATE TABLE t2 (t2a int, t2b int NOT NULL, KEY idx (t2b)); INSERT INTO t2 VALUES (100,0),(150,200),(999, 0); # t2b is NOT NULL EXPLAIN SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b = t1.t1b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 3 100.00 NULL 1 SIMPLE t2 NULL ref idx idx 4 test.t1.t1b 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`t1a` AS `t1a`,`test`.`t1`.`t1b` AS `t1b`,`test`.`t2`.`t2a` AS `t2a`,`test`.`t2`.`t2b` AS `t2b` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`idx`) on((`test`.`t2`.`t2b` = `test`.`t1`.`t1b`)) where 1 SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b = t1.t1b; t1a t1b t2a t2b 99 0 100 0 99 0 999 0 99 NULL NULL NULL 99 3 NULL NULL EXPLAIN SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b <=> t1.t1b; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 3 100.00 NULL 1 SIMPLE t2 NULL ref idx idx 4 test.t1.t1b 2 100.00 Using where; Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`t1a` AS `t1a`,`test`.`t1`.`t1b` AS `t1b`,`test`.`t2`.`t2a` AS `t2a`,`test`.`t2`.`t2b` AS `t2b` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`idx`) on((`test`.`t2`.`t2b` <=> `test`.`t1`.`t1b`)) where 1 SELECT * FROM t1 LEFT JOIN t2 force index (idx) ON t2.t2b <=> t1.t1b; t1a t1b t2a t2b 99 0 100 0 99 0 999 0 99 NULL NULL NULL 99 3 NULL NULL DROP TABLE t1,t2; # # BUG#12619399 - JCL: NO ROWS VS 3X NULL QUERY OUTPUT WHEN JCL>=5 # CREATE TABLE t1 ( c1 INTEGER NOT NULL, c2_key INTEGER NOT NULL, KEY col_int_key (c2_key) ) ENGINE=InnoDB; INSERT INTO t1 VALUES (24,204); CREATE TABLE t2 ( pk INTEGER NOT NULL, PRIMARY KEY (pk) ) ENGINE=InnoDB; INSERT INTO t2 VALUES (10); CREATE TABLE t3 ( c1 INTEGER, KEY k1 (c1) ) ENGINE=InnoDB; INSERT INTO t3 VALUES (NULL), (NULL); set @old_opt_switch=@@optimizer_switch; explain SELECT t3.c1 FROM t3 WHERE t3.c1 = SOME (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1) XOR TRUE; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 NULL index NULL k1 5 NULL 2 100.00 Using where; Using index 2 DEPENDENT SUBQUERY t1 NULL ref col_int_key col_int_key 4 func 1 100.00 Using where; Full scan on NULL key 2 DEPENDENT SUBQUERY t2 NULL ALL PRIMARY NULL NULL NULL 1 100.00 Range checked for each record (index map: 0x1) Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1` from `test`.`t3` where ((`test`.`t3`.`c1`,(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where ((outer_field_is_not_null, ((`test`.`t3`.`c1`) = `test`.`t1`.`c2_key`), true) and (`test`.`t2`.`pk` < `test`.`t1`.`c1`)))) xor TRUE) explain SELECT t3.c1 FROM t3 WHERE t3.c1 = ANY (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1) XOR TRUE; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 NULL index NULL k1 5 NULL 2 100.00 Using where; Using index 2 DEPENDENT SUBQUERY t1 NULL ref col_int_key col_int_key 4 func 1 100.00 Using where; Full scan on NULL key 2 DEPENDENT SUBQUERY t2 NULL ALL PRIMARY NULL NULL NULL 1 100.00 Range checked for each record (index map: 0x1) Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1` from `test`.`t3` where ((`test`.`t3`.`c1`,(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where ((outer_field_is_not_null, ((`test`.`t3`.`c1`) = `test`.`t1`.`c2_key`), true) and (`test`.`t2`.`pk` < `test`.`t1`.`c1`)))) xor TRUE) explain SELECT t3.c1 FROM t3 WHERE t3.c1 IN (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1) XOR TRUE; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 NULL index NULL k1 5 NULL 2 100.00 Using where; Using index 2 DEPENDENT SUBQUERY t1 NULL ref col_int_key col_int_key 4 func 1 100.00 Using where; Full scan on NULL key 2 DEPENDENT SUBQUERY t2 NULL ALL PRIMARY NULL NULL NULL 1 100.00 Range checked for each record (index map: 0x1) Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1` from `test`.`t3` where ((`test`.`t3`.`c1`,(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where ((outer_field_is_not_null, ((`test`.`t3`.`c1`) = `test`.`t1`.`c2_key`), true) and (`test`.`t2`.`pk` < `test`.`t1`.`c1`)))) xor TRUE) explain SELECT t3.c1 FROM t3 WHERE t3.c1 NOT IN (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1); id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 NULL index NULL k1 5 NULL 2 100.00 Using where; Using index 2 DEPENDENT SUBQUERY t1 NULL ref col_int_key col_int_key 4 func 1 100.00 Using where; Full scan on NULL key 2 DEPENDENT SUBQUERY t2 NULL ALL PRIMARY NULL NULL NULL 1 100.00 Range checked for each record (index map: 0x1) Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1` from `test`.`t3` where (not((`test`.`t3`.`c1`,(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where ((outer_field_is_not_null, ((`test`.`t3`.`c1`) = `test`.`t1`.`c2_key`), true) and (`test`.`t2`.`pk` < `test`.`t1`.`c1`)))))) explain SELECT t3.c1 FROM t3 WHERE t3.c1 IN (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1); id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL col_int_key NULL NULL NULL 1 100.00 Start temporary 1 SIMPLE t2 NULL ALL PRIMARY NULL NULL NULL 1 100.00 Range checked for each record (index map: 0x1) 1 SIMPLE t3 NULL ref k1 k1 5 test.t1.c2_key 1 100.00 Using index; End temporary Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1` from `test`.`t3` semi join (`test`.`t2` join `test`.`t1`) where ((`test`.`t3`.`c1` = `test`.`t1`.`c2_key`) and (`test`.`t2`.`pk` < `test`.`t1`.`c1`)) SELECT t3.c1 FROM t3 WHERE t3.c1 = SOME (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1) XOR TRUE; c1 SELECT t3.c1 FROM t3 WHERE t3.c1 = ANY (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1) XOR TRUE; c1 SELECT t3.c1 FROM t3 WHERE t3.c1 IN (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1) XOR TRUE; c1 SELECT t3.c1 FROM t3 WHERE t3.c1 NOT IN (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1); c1 SELECT t3.c1 FROM t3 WHERE t3.c1 IN (SELECT t1.c2_key FROM t2 JOIN t1 ON t2.pk < t1.c1); c1 set @@optimizer_switch=@old_opt_switch; DROP TABLE t1, t2, t3; set @@join_buffer_size=default; # BUG#12586926 "EXTRA ROW WITH JOIN + GROUP BY + ORDER BY WITH # JCL>=5 AND MRR ENABLED" CREATE TABLE t1 ( col_int_key int(11) NOT NULL, col_varchar_key varchar(1) NOT NULL, KEY col_int_key (col_int_key), KEY col_varchar_key (col_varchar_key,col_int_key) ) ENGINE=innodb; INSERT INTO t1 VALUES (0,'j'),(4,'b'),(4,'d'); CREATE TABLE t2 ( col_datetime_key datetime NOT NULL, col_varchar_key varchar(1) NOT NULL, KEY col_varchar_key (col_varchar_key) ) ENGINE=innodb; INSERT INTO t2 VALUES ('2003-08-21 00:00:00','b'); explain SELECT MIN(t2.col_datetime_key) AS field1, t1.col_int_key AS field2 FROM t1 LEFT JOIN t2 force index (col_varchar_key) ON t1.col_varchar_key = t2.col_varchar_key GROUP BY field2 ORDER BY field1; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL index col_int_key,col_varchar_key col_varchar_key 7 NULL 3 100.00 Using index; Using temporary; Using filesort 1 SIMPLE t2 NULL ref col_varchar_key col_varchar_key 3 test.t1.col_varchar_key 1 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select min(`test`.`t2`.`col_datetime_key`) AS `field1`,`test`.`t1`.`col_int_key` AS `field2` from `test`.`t1` left join `test`.`t2` FORCE INDEX (`col_varchar_key`) on((`test`.`t2`.`col_varchar_key` = `test`.`t1`.`col_varchar_key`)) where 1 group by `field2` order by `field1` SELECT MIN(t2.col_datetime_key) AS field1, t1.col_int_key AS field2 FROM t1 LEFT JOIN t2 force index (col_varchar_key) ON t1.col_varchar_key = t2.col_varchar_key GROUP BY field2 ORDER BY field1; field1 field2 NULL 0 2003-08-21 00:00:00 4 DROP TABLE t1,t2; # BUG#12619510 "JCL: MORE ROWS AND DIFFERENT OUTPUT WITH JCL>=5" CREATE TABLE t1 ( col_int_key int(11) NOT NULL, col_datetime_key datetime NOT NULL, col_varchar_nokey varchar(1) NOT NULL, KEY col_int_key (col_int_key), KEY col_datetime_key (col_datetime_key) ); INSERT INTO t1 VALUES (7,'2004-06-06 04:22:12','v'); INSERT INTO t1 VALUES (0,'2005-11-13 01:12:31','s'); INSERT INTO t1 VALUES (9,'2002-05-04 01:50:00','l'); INSERT INTO t1 VALUES (3,'2004-10-27 10:28:45','y'); INSERT INTO t1 VALUES (4,'2006-07-22 05:24:23','c'); INSERT INTO t1 VALUES (2,'2002-05-16 21:34:03','i'); INSERT INTO t1 VALUES (5,'2008-04-17 10:45:30','h'); INSERT INTO t1 VALUES (3,'2009-04-21 02:58:02','q'); INSERT INTO t1 VALUES (1,'2008-01-11 11:01:51','a'); INSERT INTO t1 VALUES (3,'1900-01-01 00:00:00','v'); INSERT INTO t1 VALUES (6,'2007-05-17 18:24:57','u'); INSERT INTO t1 VALUES (7,'2007-08-07 00:00:00','s'); INSERT INTO t1 VALUES (5,'2001-08-28 00:00:00','y'); INSERT INTO t1 VALUES (1,'2004-04-16 00:27:28','z'); INSERT INTO t1 VALUES (204,'2005-05-03 07:06:22','h'); INSERT INTO t1 VALUES (224,'2009-03-11 17:09:50','p'); INSERT INTO t1 VALUES (9,'2007-12-08 01:54:28','e'); INSERT INTO t1 VALUES (5,'2009-07-28 18:19:54','i'); INSERT INTO t1 VALUES (0,'2008-06-08 00:00:00','y'); INSERT INTO t1 VALUES (3,'2005-02-09 09:20:26','w'); CREATE TABLE t2 ( pk int(11) NOT NULL, col_varchar_key varchar(1) NOT NULL, PRIMARY KEY (pk) ); INSERT INTO t2 VALUES (1,'j'),(2,'v'),(3,'c'),(4,'m'),(5,'d'),(6,'d'),(7,'y'), (8,'t'),(9,'d'),(10,'s'),(11,'r'),(12,'m'),(13,'b'),(14,'x'), (15,'g'),(16,'p'),(17,'q'),(18,'w'),(19,'d'),(20,'e'); explain SELECT t2.col_varchar_key AS field1 , COUNT(DISTINCT t1.col_varchar_nokey), t2.pk AS field4 FROM t1 RIGHT JOIN t2 ON t2.pk = t1.col_int_key GROUP BY field1 , field4 ORDER BY t1.col_datetime_key ; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 20 100.00 Using temporary; Using filesort 1 SIMPLE t1 NULL ref col_int_key col_int_key 4 test.t2.pk 2 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t2`.`col_varchar_key` AS `field1`,count(distinct `test`.`t1`.`col_varchar_nokey`) AS `COUNT(DISTINCT t1.col_varchar_nokey)`,`test`.`t2`.`pk` AS `field4` from `test`.`t2` left join `test`.`t1` on((`test`.`t1`.`col_int_key` = `test`.`t2`.`pk`)) where 1 group by `field1`,`field4` order by `test`.`t1`.`col_datetime_key` SELECT t2.col_varchar_key AS field1 , COUNT(DISTINCT t1.col_varchar_nokey), t2.pk AS field4 FROM t1 RIGHT JOIN t2 ON t2.pk = t1.col_int_key GROUP BY field1 , field4 ORDER BY t1.col_datetime_key ; field1 COUNT(DISTINCT t1.col_varchar_nokey) field4 b 0 13 c 4 3 d 0 19 d 1 6 d 2 9 d 3 5 e 0 20 g 0 15 j 2 1 m 0 12 m 1 4 p 0 16 q 0 17 r 0 11 s 0 10 t 0 8 v 1 2 w 0 18 x 0 14 y 2 7 DROP TABLE t1,t2; # BUG#12619868 "JCL: MORE ROWS OF OUTPUT WHEN JCL>=5" CREATE TABLE t1 (col_varchar_key varchar(1)); CREATE TABLE t2 ( pk int(11) NOT NULL, col_int_nokey int(11) NOT NULL, col_int_key int(11) NOT NULL, PRIMARY KEY (pk), KEY col_int_key (col_int_key) ); INSERT INTO t2 VALUES (5,3,9); INSERT INTO t2 VALUES (6,246,24); INSERT INTO t2 VALUES (7,2,6); INSERT INTO t2 VALUES (8,9,1); INSERT INTO t2 VALUES (9,3,6); INSERT INTO t2 VALUES (10,8,2); INSERT INTO t2 VALUES (11,1,4); INSERT INTO t2 VALUES (12,8,8); INSERT INTO t2 VALUES (13,8,4); INSERT INTO t2 VALUES (14,5,4); INSERT INTO t2 VALUES (15,7,7); INSERT INTO t2 VALUES (16,5,4); INSERT INTO t2 VALUES (17,1,1); INSERT INTO t2 VALUES (18,6,9); INSERT INTO t2 VALUES (19,2,4); INSERT INTO t2 VALUES (20,9,8); explain SELECT t1.col_varchar_key AS field1, alias2.col_int_key AS field4 FROM t2 AS alias2 STRAIGHT_JOIN t2 AS alias3 ON alias3.pk = alias2.col_int_nokey left join t1 ON alias3.col_int_nokey GROUP BY field1, field4 LIMIT 15; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL system NULL NULL NULL NULL 0 0.00 const row not found 1 SIMPLE alias2 NULL ALL NULL NULL NULL NULL 16 100.00 Using temporary; Using filesort 1 SIMPLE alias3 NULL eq_ref PRIMARY PRIMARY 4 test.alias2.col_int_nokey 1 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select NULL AS `field1`,`test`.`alias2`.`col_int_key` AS `field4` from `test`.`t2` `alias2` straight_join `test`.`t2` `alias3` where (`test`.`alias3`.`pk` = `test`.`alias2`.`col_int_nokey`) group by `field1`,`field4` limit 15 SELECT t1.col_varchar_key AS field1, alias2.col_int_key AS field4 FROM t2 AS alias2 STRAIGHT_JOIN t2 AS alias3 ON alias3.pk = alias2.col_int_nokey left join t1 ON alias3.col_int_nokey GROUP BY field1, field4 LIMIT 15; field1 field4 NULL 1 NULL 2 NULL 4 NULL 7 NULL 8 NULL 9 DROP TABLE t1,t2; # BUG#12722133 - JCL: JOIN QUERY GIVES DIFFERENT RESULTS AT # JCL=6 ONLY [NULL VERSUS NULL+#INTS] CREATE TABLE t1 (pk INTEGER PRIMARY KEY, k INTEGER, i INTEGER, KEY k(k)); CREATE TABLE t2 LIKE t1; CREATE TABLE t3 LIKE t1; CREATE TABLE t4 LIKE t1; INSERT INTO t1 VALUES (6,NULL,6),(0,1,11); INSERT INTO t2 VALUES (1,NULL,NULL),(4,7,NULL); INSERT INTO t3 VALUES (2,3,0),(3,4,4); INSERT INTO t4 VALUES (1,9,-1),(4,7,NULL); EXPLAIN SELECT t2.pk as t2_pk, t4.pk as t4_pk, t4.k as t4_k, t4.i as t4_i FROM t1 LEFT JOIN t2 ON t1.k = t2.pk LEFT JOIN t3 ON t3.i LEFT JOIN t4 ON t4.pk = t2.pk; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL index NULL k 5 NULL 2 100.00 Using index 1 SIMPLE t2 NULL eq_ref PRIMARY PRIMARY 4 test.t1.k 1 100.00 Using index 1 SIMPLE t3 NULL ALL NULL NULL NULL NULL 2 100.00 Using where; Using join buffer (Block Nested Loop) 1 SIMPLE t4 NULL eq_ref PRIMARY PRIMARY 4 test.t2.pk 1 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t2`.`pk` AS `t2_pk`,`test`.`t4`.`pk` AS `t4_pk`,`test`.`t4`.`k` AS `t4_k`,`test`.`t4`.`i` AS `t4_i` from `test`.`t1` left join `test`.`t2` on((`test`.`t2`.`pk` = `test`.`t1`.`k`)) left join `test`.`t3` on(`test`.`t3`.`i`) left join `test`.`t4` on((`test`.`t4`.`pk` = `test`.`t2`.`pk`)) where 1 SELECT t2.pk as t2_pk, t4.pk as t4_pk, t4.k as t4_k, t4.i as t4_i FROM t1 LEFT JOIN t2 ON t1.k = t2.pk LEFT JOIN t3 ON t3.i LEFT JOIN t4 ON t4.pk = t2.pk; t2_pk t4_pk t4_k t4_i 1 1 9 -1 NULL NULL NULL NULL DROP TABLE t1, t2, t3, t4; # BUG#12827509 - BNL/BKA: SELECT LEFT/RIGHT JOIN QUERY GIVES # DIFFERENT OUTPUT ON BNL=OFF+BKA=ON # (Duplicate of BUG#12722133) CREATE TABLE t1 ( col_int INTEGER ); INSERT INTO t1 VALUES (3), (7), (2), (8), (6); CREATE TABLE t2 ( pk INTEGER, col_int INTEGER, PRIMARY KEY (pk) ); INSERT INTO t2 VALUES (1,5), (2,8), (6,3), (8,7), (9,9); CREATE TABLE t3 ( pk INTEGER, col_int INTEGER, PRIMARY KEY (pk) ); INSERT INTO t3 VALUES (3,2), (4,3), (8,2); CREATE TABLE t4 ( pk INTEGER, col_int INTEGER, PRIMARY KEY (pk) ); INSERT INTO t4 VALUES (2,3), (6,1), (8,2); EXPLAIN SELECT t4.col_int FROM t1 LEFT JOIN t2 ON t1.col_int = t2.col_int LEFT JOIN t3 ON t2.pk = t3.pk LEFT JOIN t4 ON t4.pk = t2.pk WHERE t1.col_int OR t3.col_int; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 NULL ALL NULL NULL NULL NULL 5 100.00 NULL 1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 5 100.00 Using where; Using join buffer (Block Nested Loop) 1 SIMPLE t3 NULL eq_ref PRIMARY PRIMARY 4 test.t2.pk 1 100.00 Using where; Using join buffer (Batched Key Access (unique)) 1 SIMPLE t4 NULL eq_ref PRIMARY PRIMARY 4 test.t2.pk 1 100.00 Using join buffer (Batched Key Access (unique)) Warnings: Note 1003 /* select#1 */ select `test`.`t4`.`col_int` AS `col_int` from `test`.`t1` left join `test`.`t2` on((`test`.`t2`.`col_int` = `test`.`t1`.`col_int`)) left join `test`.`t3` on((`test`.`t3`.`pk` = `test`.`t2`.`pk`)) left join `test`.`t4` on((`test`.`t4`.`pk` = `test`.`t2`.`pk`)) where (`test`.`t1`.`col_int` or `test`.`t3`.`col_int`) SELECT t4.col_int FROM t1 LEFT JOIN t2 ON t1.col_int = t2.col_int LEFT JOIN t3 ON t2.pk = t3.pk LEFT JOIN t4 ON t4.pk = t2.pk WHERE t1.col_int OR t3.col_int; col_int 3 1 2 NULL NULL DROP TABLE t1, t2, t3, t4; # # Bug#12997905: VALGRIND: SYSCALL PARAM PWRITE64(BUF) # POINTS TO UNINITIALISED BYTE(S) # CREATE TABLE t1 ( col1 varchar(10), col2 varchar(1024) ) ENGINE=innodb; INSERT INTO t1 VALUES ('a','a'); CREATE TABLE t2 (i varchar(10)) ENGINE=innodb; INSERT INTO t2 VALUES ('a'); SELECT t1.col1 FROM t1 JOIN t2 ON t1.col1 = t2.i GROUP BY t1.col2; col1 a DROP TABLE t1,t2; # End of Bug#12997905 # # Bug 13596330 - EXTRA ROW ON SELECT WITH NESTED IN CLAUSE + IS # NULL WHEN SEMIJOIN + BNL IS ON # CREATE TABLE t1 ( col_int_nokey int ); INSERT INTO t1 VALUES(-1),(-1); CREATE TABLE t2 ( col_int_nokey int, col_datetime_nokey datetime NOT NULL, col_varchar_key varchar(1), KEY col_varchar_key (col_varchar_key) ); INSERT INTO t2 VALUES (9, '2002-08-25 20:35:06', 'e'), (9, '2002-08-25 20:35:06', 'e'); set @optimizer_switch_saved=@@session.optimizer_switch; set @@session.optimizer_switch='semijoin=off'; EXPLAIN SELECT parent1.col_varchar_key FROM t2 AS parent1 LEFT JOIN t1 USING (col_int_nokey) WHERE parent1.col_varchar_key IN ( SELECT col_varchar_key FROM t2 AS child1 WHERE parent1.col_datetime_nokey IS NULL AND t1.col_int_nokey IS NULL ) ; id select_type table partitions type possible_keys key key_len ref rows filtered Extra 1 PRIMARY parent1 NULL ALL NULL NULL NULL NULL 2 100.00 NULL 1 PRIMARY t1 NULL ALL NULL NULL NULL NULL 2 100.00 Using where; Using join buffer (Block Nested Loop) 2 DEPENDENT SUBQUERY child1 NULL index_subquery col_varchar_key col_varchar_key 4 func 2 100.00 Using where; Using index Warnings: Note 1276 Field or reference 'test.parent1.col_datetime_nokey' of SELECT #2 was resolved in SELECT #1 Note 1276 Field or reference 'test.t1.col_int_nokey' of SELECT #2 was resolved in SELECT #1 Note 1003 /* select#1 */ select `test`.`parent1`.`col_varchar_key` AS `col_varchar_key` from `test`.`t2` `parent1` left join `test`.`t1` on((`test`.`t1`.`col_int_nokey` = `test`.`parent1`.`col_int_nokey`)) where (`test`.`parent1`.`col_varchar_key`,(((`test`.`parent1`.`col_varchar_key`) in t2 on col_varchar_key where ((`test`.`parent1`.`col_datetime_nokey` = '0000-00-00 00:00:00') and isnull(`test`.`t1`.`col_int_nokey`) and ((`test`.`parent1`.`col_varchar_key`) = `test`.`child1`.`col_varchar_key`))))) SELECT parent1.col_varchar_key FROM t2 AS parent1 LEFT JOIN t1 USING (col_int_nokey) WHERE parent1.col_varchar_key IN ( SELECT col_varchar_key FROM t2 AS child1 WHERE parent1.col_datetime_nokey IS NULL AND t1.col_int_nokey IS NULL ) ; col_varchar_key set @@session.optimizer_switch=@optimizer_switch_saved; DROP TABLE t1,t2; set optimizer_switch = default;