| Current Path : /compat/linux/proc/68247/root/compat/linux/proc/68247/root/compat/linux/proc/3760/cwd/usr/opt/mysql57/mysql-test/r/ |
FreeBSD hs32.drive.ne.jp 9.1-RELEASE FreeBSD 9.1-RELEASE #1: Wed Jan 14 12:18:08 JST 2015 root@hs32.drive.ne.jp:/sys/amd64/compile/hs32 amd64 |
| Current File : //compat/linux/proc/68247/root/compat/linux/proc/68247/root/compat/linux/proc/3760/cwd/usr/opt/mysql57/mysql-test/r/join_cache_bkaunique.result |
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<t2.a OR t3.c IS NULL;
a b a b a b
3 3 NULL NULL NULL NULL
4 2 1 2 3 2
4 2 1 2 4 2
5 3 NULL NULL NULL NULL
DROP TABLE t2, t3, t4;
#
# Bug #40192: outer join with where clause when using BNL
#
create table t1 (a int, b int);
insert into t1 values (2, 20), (3, 30), (1, 10);
create table t2 (a int, c int);
insert into t2 values (1, 101), (3, 102), (1, 100);
select * from t1 left join t2 on t1.a=t2.a;
a b a c
1 10 1 100
1 10 1 101
2 20 NULL NULL
3 30 3 102
explain select * from t1 left join t2 on t1.a=t2.a where t2.c=102 or t2.c 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 3 100.00 NULL
1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 3 55.56 Using where; Using join buffer (Block Nested Loop)
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`c` AS `c` from `test`.`t1` left join `test`.`t2` on((`test`.`t2`.`a` = `test`.`t1`.`a`)) where ((`test`.`t2`.`c` = 102) or isnull(`test`.`t2`.`c`))
select * from t1 left join t2 on t1.a=t2.a where t2.c=102 or t2.c is null;
a b a c
2 20 NULL NULL
3 30 3 102
drop table t1, t2;
#
# Bug #40317: outer join with with constant on expression equal to FALSE
#
create table t1 (a int);
insert into t1 values (30), (40), (20);
create table t2 (b int);
insert into t2 values (200), (100);
select * from t1 left join t2 on (1=0);
a b
30 NULL
40 NULL
20 NULL
explain select * from t1 left join t2 on (1=0) where a=40;
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 33.33 Using where
1 SIMPLE t2 NULL ALL NULL NULL NULL NULL 2 100.00 Using where; Using join buffer (Block Nested Loop)
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` left join `test`.`t2` on((1 = 0)) where (`test`.`t1`.`a` = 40)
select * from t1 left join t2 on (1=0) where a=40;
a b
40 NULL
drop table t1, t2;
#
# Bug #41204: small buffer with big rec_per_key for ref access
#
CREATE TABLE t1 (a int);
INSERT INTO t1 VALUES (0);
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1(a) SELECT a FROM t1;
INSERT INTO t1 VALUES (20000), (10000);
CREATE TABLE t2 (pk int AUTO_INCREMENT PRIMARY KEY, b int, c int, INDEX idx(b));
INSERT INTO t2(b,c) VALUES (10000, 3), (20000, 7), (20000, 1), (10000, 9), (20000, 5);
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
INSERT INTO t2(b,c) SELECT b,c FROM t2;
ANALYZE TABLE t1,t2;
set join_buffer_size=1024;
EXPLAIN SELECT AVG(c) FROM t1,t2 WHERE t1.a=t2.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 2050 100.00 Using where
1 SIMPLE t2 NULL ref idx idx 5 test.t1.a 640 100.00 Using join buffer (Batched Key Access (unique))
Warnings:
Note 1003 /* select#1 */ select avg(`test`.`t2`.`c`) AS `AVG(c)` from `test`.`t1` join `test`.`t2` where (`test`.`t2`.`b` = `test`.`t1`.`a`)
SELECT AVG(c) FROM t1,t2 WHERE t1.a=t2.b;
AVG(c)
5.0000
set join_buffer_size=default;
DROP TABLE t1, t2;
#
# Bug #41894: big join buffer of level 7 used to join records
# with null values in place of varchar strings
#
CREATE TABLE t1 (a int NOT NULL AUTO_INCREMENT PRIMARY KEY,
b varchar(127) DEFAULT NULL);
INSERT INTO t1(a) VALUES (1);
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
INSERT INTO t1(b) SELECT b FROM t1;
CREATE TABLE t2 (a int NOT NULL PRIMARY KEY, b varchar(127) DEFAULT NULL);
INSERT INTO t2 SELECT * FROM t1;
CREATE TABLE t3 (a int NOT NULL PRIMARY KEY, b varchar(127) DEFAULT NULL);
INSERT INTO t3 SELECT * FROM t1;
set join_buffer_size=1024*1024;
EXPLAIN
SELECT COUNT(*) FROM t1,t2,t3
WHERE t1.a=t2.a AND t2.a=t3.a AND
t1.b IS NULL AND t2.b IS NULL AND t3.b IS NULL;
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t1 NULL ALL PRIMARY NULL NULL NULL 16384 10.00 Using where
1 SIMPLE t2 NULL eq_ref PRIMARY PRIMARY 4 test.t1.a 1 10.00 Using where; Using join buffer (Batched Key Access (unique))
1 SIMPLE t3 NULL eq_ref PRIMARY PRIMARY 4 test.t1.a 1 10.00 Using where; Using join buffer (Batched Key Access (unique))
Warnings:
Note 1003 /* select#1 */ select count(0) AS `COUNT(*)` from `test`.`t1` join `test`.`t2` join `test`.`t3` where ((`test`.`t2`.`a` = `test`.`t1`.`a`) and (`test`.`t3`.`a` = `test`.`t1`.`a`) and isnull(`test`.`t1`.`b`) and isnull(`test`.`t2`.`b`) and isnull(`test`.`t3`.`b`))
SELECT COUNT(*) FROM t1,t2,t3
WHERE t1.a=t2.a AND t2.a=t3.a AND
t1.b IS NULL AND t2.b IS NULL AND t3.b IS NULL;
COUNT(*)
16384
set join_buffer_size=default;
DROP TABLE t1,t2,t3;
#
# Bug #42020: join buffer is used for outer join with fields of
# several outer tables in join buffer
#
CREATE TABLE t1 (
a bigint NOT NULL,
PRIMARY KEY (a)
);
INSERT INTO t1 VALUES
(2), (1);
CREATE TABLE t2 (
a bigint NOT NULL,
b bigint NOT NULL,
PRIMARY KEY (a,b)
);
INSERT INTO t2 VALUES
(2,30), (2,40), (2,50), (2,60), (2,70), (2,80),
(1,10), (1, 20), (1,30), (1,40), (1,50);
CREATE TABLE t3 (
pk bigint NOT NULL AUTO_INCREMENT,
a bigint NOT NULL,
b bigint NOT NULL,
val bigint DEFAULT '0',
PRIMARY KEY (pk),
KEY idx (a,b)
);
INSERT INTO t3(a,b) VALUES
(2,30), (2,40), (2,50), (2,60), (2,70), (2,80),
(4,30), (4,40), (4,50), (4,60), (4,70), (4,80),
(5,30), (5,40), (5,50), (5,60), (5,70), (5,80),
(7,30), (7,40), (7,50), (7,60), (7,70), (7,80);
SELECT t1.a, t2.a, t3.a, t2.b, t3.b, t3.val
FROM (t1,t2) LEFT JOIN t3 ON (t1.a=t3.a AND t2.b=t3.b)
WHERE t1.a=t2.a;
a a a b b val
1 1 NULL 10 NULL NULL
1 1 NULL 20 NULL NULL
1 1 NULL 30 NULL NULL
1 1 NULL 40 NULL NULL
1 1 NULL 50 NULL NULL
2 2 2 30 30 0
2 2 2 40 40 0
2 2 2 50 50 0
2 2 2 60 60 0
2 2 2 70 70 0
2 2 2 80 80 0
set join_buffer_size=256;
EXPLAIN
SELECT t1.a, t2.a, t3.a, t2.b, t3.b, t3.val
FROM (t1,t2) LEFT JOIN t3 ON (t1.a=t3.a AND t2.b=t3.b)
WHERE t1.a=t2.a;
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t1 NULL index PRIMARY PRIMARY 8 NULL 2 100.00 Using index
1 SIMPLE t2 NULL ref PRIMARY PRIMARY 8 test.t1.a 1 100.00 Using index
1 SIMPLE t3 NULL ref idx idx 16 test.t1.a,test.t2.b 2 100.00 Using join buffer (Batched Key Access (unique))
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t3`.`a` AS `a`,`test`.`t2`.`b` AS `b`,`test`.`t3`.`b` AS `b`,`test`.`t3`.`val` AS `val` from `test`.`t1` join `test`.`t2` left join `test`.`t3` on(((`test`.`t3`.`b` = `test`.`t2`.`b`) and (`test`.`t3`.`a` = `test`.`t1`.`a`))) where (`test`.`t2`.`a` = `test`.`t1`.`a`)
SELECT t1.a, t2.a, t3.a, t2.b, t3.b, t3.val
FROM (t1,t2) LEFT JOIN t3 ON (t1.a=t3.a AND t2.b=t3.b)
WHERE t1.a=t2.a;
a a a b b val
1 1 NULL 10 NULL NULL
1 1 NULL 20 NULL NULL
1 1 NULL 30 NULL NULL
1 1 NULL 40 NULL NULL
1 1 NULL 50 NULL NULL
2 2 2 30 30 0
2 2 2 40 40 0
2 2 2 50 50 0
2 2 2 60 60 0
2 2 2 70 70 0
2 2 2 80 80 0
DROP INDEX idx ON t3;
EXPLAIN
SELECT t1.a, t2.a, t3.a, t2.b, t3.b, t3.val
FROM (t1,t2) LEFT JOIN t3 ON (t1.a=t3.a AND t2.b=t3.b)
WHERE t1.a=t2.a;
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t1 NULL index PRIMARY PRIMARY 8 NULL 2 100.00 Using index
1 SIMPLE t2 NULL ref PRIMARY PRIMARY 8 test.t1.a 1 100.00 Using index
1 SIMPLE t3 NULL ALL NULL NULL NULL NULL 24 100.00 Using where; Using join buffer (Block Nested Loop)
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t3`.`a` AS `a`,`test`.`t2`.`b` AS `b`,`test`.`t3`.`b` AS `b`,`test`.`t3`.`val` AS `val` from `test`.`t1` join `test`.`t2` left join `test`.`t3` on(((`test`.`t3`.`b` = `test`.`t2`.`b`) and (`test`.`t3`.`a` = `test`.`t1`.`a`))) where (`test`.`t2`.`a` = `test`.`t1`.`a`)
SELECT t1.a, t2.a, t3.a, t2.b, t3.b, t3.val
FROM (t1,t2) LEFT JOIN t3 ON (t1.a=t3.a AND t2.b=t3.b)
WHERE t1.a=t2.a;
a a a b b val
1 1 NULL 10 NULL NULL
1 1 NULL 20 NULL NULL
1 1 NULL 30 NULL NULL
1 1 NULL 40 NULL NULL
1 1 NULL 50 NULL NULL
2 2 2 30 30 0
2 2 2 40 40 0
2 2 2 50 50 0
2 2 2 60 60 0
2 2 2 70 70 0
2 2 2 80 80 0
set join_buffer_size=default;
DROP TABLE t1,t2,t3;
create table t1(f1 int, f2 int);
insert into t1 values (1,1),(2,2),(3,3);
create table t2(f1 int not null, f2 int not null, f3 char(200), key(f1,f2));
insert into t2 values (1,1, 'qwerty'),(1,2, 'qwerty'),(1,3, 'qwerty');
insert into t2 values (2,1, 'qwerty'),(2,2, 'qwerty'),(2,3, 'qwerty'),
(2,4, 'qwerty'),(2,5, 'qwerty');
insert into t2 values (3,1, 'qwerty'),(3,4, 'qwerty');
insert into t2 values (4,1, 'qwerty'),(4,2, 'qwerty'),(4,3, 'qwerty'),
(4,4, 'qwerty');
insert into t2 values (1,1, 'qwerty'),(1,2, 'qwerty'),(1,3, 'qwerty');
insert into t2 values (2,1, 'qwerty'),(2,2, 'qwerty'),(2,3, 'qwerty'),
(2,4, 'qwerty'),(2,5, 'qwerty');
insert into t2 values (3,1, 'qwerty'),(3,4, 'qwerty');
insert into t2 values (4,1, 'qwerty'),(4,2, 'qwerty'),(4,3, 'qwerty'),
(4,4, 'qwerty');
select t2.f1, t2.f2, t2.f3 from t1,t2
where t1.f1=t2.f1 and t2.f2 between t1.f1 and t1.f2 and t2.f2 + 1 >= 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 (<in_optimizer>(`test`.`t3`.`c1`,<exists>(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where (<if>(outer_field_is_not_null, (<cache>(`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 (<in_optimizer>(`test`.`t3`.`c1`,<exists>(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where (<if>(outer_field_is_not_null, (<cache>(`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 (<in_optimizer>(`test`.`t3`.`c1`,<exists>(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where (<if>(outer_field_is_not_null, (<cache>(`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(<in_optimizer>(`test`.`t3`.`c1`,<exists>(/* select#2 */ select 1 from `test`.`t2` join `test`.`t1` where (<if>(outer_field_is_not_null, (<cache>(`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 <in_optimizer>(`test`.`parent1`.`col_varchar_key`,<exists>(<index_lookup>(<cache>(`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 (<cache>(`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;