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aircraft
What are the descriptions for the aircrafts?
SELECT Description FROM aircraft
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the average number of international passengers of all airports?
SELECT avg(International_Passengers) FROM airport
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the average number of international passengers for an airport?
SELECT avg(International_Passengers) FROM airport
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the number of international and domestic passengers of the airport named London "Heathrow"?
SELECT International_Passengers , Domestic_Passengers FROM airport WHERE Airport_Name = "London Heathrow"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
How many international and domestic passengers are there in the airport London Heathrow?
SELECT International_Passengers , Domestic_Passengers FROM airport WHERE Airport_Name = "London Heathrow"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the total number of Domestic Passengers of airports that contain the word "London".
SELECT sum(Domestic_Passengers) FROM airport WHERE Airport_Name LIKE "%London%"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the total number of domestic passengers at all London airports?
SELECT sum(Domestic_Passengers) FROM airport WHERE Airport_Name LIKE "%London%"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the maximum and minimum number of transit passengers of all aiports.
SELECT max(Transit_Passengers) , min(Transit_Passengers) FROM airport
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the maximum and mininum number of transit passengers for all airports?
SELECT max(Transit_Passengers) , min(Transit_Passengers) FROM airport
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the name of pilots aged 25 or older?
SELECT Name FROM pilot WHERE Age >= 25
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
what is the name of every pilot who is at least 25 years old?
SELECT Name FROM pilot WHERE Age >= 25
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List all pilot names in ascending alphabetical order.
SELECT Name FROM pilot ORDER BY Name ASC
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of the pilots in alphabetical order?
SELECT Name FROM pilot ORDER BY Name ASC
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List names of all pilot aged 30 or younger in descending alphabetical order.
SELECT Name FROM pilot WHERE Age <= 30 ORDER BY Name DESC
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of all pilots 30 years old or young in descending alphabetical order?
SELECT Name FROM pilot WHERE Age <= 30 ORDER BY Name DESC
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
Please show the names of aircrafts associated with airport with name "London Gatwick".
SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of all the aircrafts associated with London Gatwick airport?
SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
Please show the names and descriptions of aircrafts associated with airports that have a total number of passengers bigger than 10000000.
SELECT T1.Aircraft , T1.Description FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Total_Passengers > 10000000
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names and descriptions of aircrafts associated with an airport that has more total passengers than 10000000?
SELECT T1.Aircraft , T1.Description FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Total_Passengers > 10000000
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the average total number of passengers of airports that are associated with aircraft "Robinson R-22"?
SELECT avg(T3.Total_Passengers) FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T1.Aircraft = "Robinson R-22"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the average total number of passengers for all airports that the aircraft "Robinson R-22" visits?
SELECT avg(T3.Total_Passengers) FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T1.Aircraft = "Robinson R-22"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
Please list the location and the winning aircraft name.
SELECT T2.Location , T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the location and name of the winning aircraft?
SELECT T2.Location , T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List the name of the aircraft that has been named winning aircraft the most number of times.
SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the name of the aircraft that has won an award the most?
SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List the names of aircrafts and the number of times it won matches.
SELECT T1.Aircraft , COUNT(*) FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
For each aircraft that has won an award, what is its name and how many time has it won?
SELECT T1.Aircraft , COUNT(*) FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List names of all pilot in descending order of age.
SELECT Name FROM pilot ORDER BY Age DESC
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of all pilots listed by descending age?
SELECT Name FROM pilot ORDER BY Age DESC
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List the names of aircrafts and that won matches at least twice.
SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft HAVING COUNT(*) >= 2
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of all aircrafts that have won a match at least twice?
SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft HAVING COUNT(*) >= 2
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
List the names of aircrafts and that did not win any match.
SELECT Aircraft FROM aircraft WHERE Aircraft_ID NOT IN (SELECT Winning_Aircraft FROM MATCH)
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of all aicrafts that have never won any match?
SELECT Aircraft FROM aircraft WHERE Aircraft_ID NOT IN (SELECT Winning_Aircraft FROM MATCH)
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
Show the names of aircrafts that are associated with both an airport named "London Heathrow" and an airport named "London Gatwick"
SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Heathrow" INTERSECT SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of all aircrafts that are associated with both London Heathrow and Gatwick airports?
SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Heathrow" INTERSECT SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
Show all information on the airport that has the largest number of international passengers.
SELECT * FROM airport ORDER BY International_Passengers DESC LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is all the information on the airport with the largest number of international passengers?
SELECT * FROM airport ORDER BY International_Passengers DESC LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
find the name and age of the pilot who has won the most number of times among the pilots who are younger than 30.
SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot WHERE t1.age < 30 GROUP BY t2.winning_pilot ORDER BY count(*) DESC LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What is the name and age of the pilot younger than 30 who has won the most number of times?
SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot WHERE t1.age < 30 GROUP BY t2.winning_pilot ORDER BY count(*) DESC LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
what is the name and age of the youngest winning pilot?
SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot ORDER BY t1.age LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
How old is the youngest winning pilot and what is their name?
SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot ORDER BY t1.age LIMIT 1
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
find the name of pilots who did not win the matches held in the country of Australia.
SELECT name FROM pilot WHERE pilot_id NOT IN (SELECT Winning_Pilot FROM MATCH WHERE country = 'Australia')
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
aircraft
What are the names of the pilots that have not won any matches in Australia?
SELECT name FROM pilot WHERE pilot_id NOT IN (SELECT Winning_Pilot FROM MATCH WHERE country = 'Australia')
CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) 3 rows from pilot table: Pilot_Id Name Age 1 Prof. Zackery Collins 23 2 Katheryn Gorczany IV 20 3 Mr. Cristian Halvorson II 23 CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) 3 rows from aircraft table: Aircraft_ID Aircraft Description Max_Gross_Weight Total_disk_area Max_disk_Loading 1 Robinson R-22 Light utility helicopter 1,370 lb (635 kg) 497 ft² (46.2 m²) 2.6 lb/ft² (14 kg/m²) 2 Bell 206B3 JetRanger Turboshaft utility helicopter 3,200 lb (1,451 kg) 872 ft² (81.1 m²) 3.7 lb/ft² (18 kg/m²) 3 CH-47D Chinook Tandem rotor helicopter 50,000 lb (22,680 kg) 5,655 ft² (526 m²) 8.8 lb/ft² (43 kg/m²) CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) 3 rows from match table: Round Location Country Date Fastest_Qualifying Winning_Pilot Winning_Aircraft 1.0 Mina' Zayid , Abu Dhabi United Arab Emirates March 26–27 Hannes Arch 1 1 2.0 Swan River , Perth Australia April 17–18 Paul Bonhomme 4 1 3.0 Flamengo Beach , Rio de Janeiro Brazil May 8–9 Hannes Arch 6 2 CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) 3 rows from airport table: Airport_ID Airport_Name Total_Passengers %_Change_2007 International_Passengers Domestic_Passengers Transit_Passengers Aircraft_Movements Freight_Metric_Tonnes 1 London Heathrow 67054745.0 1.5% 61344438.0 5562516.0 147791.0 478693.0 1397054.0 2 London Gatwick 34205887.0 2.9% 30431051.0 3730963.0 43873.0 263653.0 107702.0 3 London Stansted 22360364.0 6.0% 19996947.0 2343428.0 19989.0 193282.0 197738.0 CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) 3 rows from airport_aircraft table: ID Airport_ID Aircraft_ID 1 6 5 2 2 1 3 1 2
local_govt_and_lot
How many residents does each property have? List property id and resident count.
SELECT T1.property_id , count(*) FROM properties AS T1 JOIN residents AS T2 ON T1.property_id = T2.property_id GROUP BY T1.property_id
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What is the distinct service types that are provided by the organization which has detail 'Denesik and Sons Party'?
SELECT DISTINCT T1.service_type_code FROM services AS T1 JOIN organizations AS T2 ON T1.organization_id = T2.organization_id WHERE T2.organization_details = 'Denesik and Sons Party'
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
How many services has each resident requested? List the resident id, details, and the count in descending order of the count.
SELECT T1.resident_id , T1.other_details , count(*) FROM Residents AS T1 JOIN Residents_Services AS T2 ON T1.resident_id = T2.resident_id GROUP BY T1.resident_id ORDER BY count(*) DESC
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What is the maximum number that a certain service is provided? List the service id, details and number.
SELECT T1.service_id , T1.service_details , count(*) FROM Services AS T1 JOIN Residents_Services AS T2 ON T1.service_id = T2.service_id GROUP BY T1.service_id ORDER BY count(*) DESC LIMIT 1
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
List the id and type of each thing, and the details of the organization that owns it.
SELECT T1.thing_id , T1.type_of_Thing_Code , T2.organization_details FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What are the id and details of the customers who have at least 3 events?
SELECT T1.customer_id , T1.customer_details FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 3
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What is each customer's move in date, and the corresponding customer id and details?
SELECT T2.date_moved_in , T1.customer_id , T1.customer_details FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
Which events have the number of notes between one and three? List the event id and the property id.
SELECT T1.Customer_Event_ID , T1.property_id FROM Customer_Events AS T1 JOIN Customer_Event_Notes AS T2 ON T1.Customer_Event_ID = T2.Customer_Event_ID GROUP BY T1.customer_event_id HAVING count(*) BETWEEN 1 AND 3
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What are the distinct id and type of the thing that has the status 'Close' or has a status record before the date '2017-06-19 02:59:21'
SELECT DISTINCT T2.thing_id , T2.Type_of_Thing_Code FROM Timed_Status_of_Things AS T1 JOIN Things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.Status_of_Thing_Code = 'Close' OR T1.Date_and_Date < '2017-06-19 02:59:21'
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
How many distinct locations have the things with service detail 'Unsatisfied' been located in?
SELECT count(DISTINCT T2.Location_Code) FROM Things AS T1 JOIN Timed_Locations_of_Things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.service_details = 'Unsatisfied'
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
How many different status codes of things are there?
SELECT count(DISTINCT Status_of_Thing_Code) FROM Timed_Status_of_Things
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
Which organizations are not a parent organization of others? List the organization id.
SELECT organization_id FROM organizations EXCEPT SELECT parent_organization_id FROM organizations
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
When is the last day any resident moved in?
SELECT max(date_moved_in) FROM Residents
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What are the resident details containing the substring 'Miss'?
SELECT other_details FROM Residents WHERE other_details LIKE '%Miss%'
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
List the customer event id and the corresponding move in date and property id.
SELECT customer_event_id , date_moved_in , property_id FROM customer_events
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
How many customers did not have any event?
SELECT count(*) FROM customers WHERE customer_id NOT IN ( SELECT customer_id FROM customer_events )
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
local_govt_and_lot
What are the distinct move in dates of the residents?
SELECT DISTINCT date_moved_in FROM residents
CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) 3 rows from Customers table: customer_id customer_details 4 Mr. Raul Prosacco 5 Esteban Senger 16 Tyrique Durgan II CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) 3 rows from Properties table: property_id property_type_code property_address other_details 24 apartment 85456 Annie Lodge Suite 449 USA 107 house 2580 Yundt Plains USA 108 house 5983 Fleta Throughway USA CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) 3 rows from Residents table: resident_id property_id date_moved_in date_moved_out other_details 6 954 2017-06-17 15:43:33 2017-12-18 03:46:04 Anderson Batz 10 605 2015-03-27 12:00:00 2018-03-17 07:48:09 Miss Naomie Osinski 23 879 2015-03-27 12:00:00 2017-11-14 06:28:48 Jess Wyman CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) 3 rows from Organizations table: organization_id parent_organization_id organization_details 7 7 Reinger, Hudson and Nolan Group 8 7 Denesik and Sons Party 10 8 Robel-Schulist Group CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Services table: service_id organization_id service_type_code service_details 10 10 Cleanning Satisfied 11 7 Check Satisfied 13 8 Moving Out Satisfied CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Residents_Services table: resident_id service_id date_moved_in property_id date_requested date_provided other_details 6 49 2017-06-17 15:43:33 954 2016-07-25 01:32:23 2018-02-26 00:27:11 Satisfied 23 41 2015-03-27 12:00:00 879 2016-10-10 21:42:21 2017-08-21 06:23:06 Unsatisfied 28 11 2015-03-27 12:00:00 629 2017-07-14 19:03:47 2017-08-28 03:43:56 Unsatisfied CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) 3 rows from Things table: thing_id organization_id Type_of_Thing_Code service_type_code service_details 1 8 Electronics Check Unsatisfied 2 8 Electronics Cleanning Satisfied 10 8 Commen Check Satisfied CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) 3 rows from Customer_Events table: Customer_Event_ID customer_id date_moved_in property_id resident_id thing_id 70 19 2015-03-27 12:00:00 605 10 1 160 5 2015-03-27 12:00:00 879 23 80 166 16 2015-03-27 12:00:00 629 28 14 CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) 3 rows from Customer_Event_Notes table: Customer_Event_Note_ID Customer_Event_ID service_type_code resident_id property_id date_moved_in 18 70 Cleanning 58 107 2016-08-04 01:06:05 21 428 Check 87 445 2016-12-11 01:05:14 32 70 Check 37 669 2016-07-10 04:09:56 CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) 3 rows from Timed_Status_of_Things table: thing_id Date_and_Date Status_of_Thing_Code 2 2016-05-27 23:33:34 Open 2 2016-07-17 08:35:27 Close 2 2017-06-19 02:59:21 In Progress CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) 3 rows from Timed_Locations_of_Things table: thing_id Date_and_Time Location_Code 2 2016-10-12 12:03:07 064 Charles Mou 10 2016-12-29 00:39:19 288 Lang Ferry 10 2017-10-21 04:21:54 854 Keeling Sho
school_player
How many schools are there?
SELECT count(*) FROM school
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Count the number of schools.
SELECT count(*) FROM school
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
List the locations of schools in ascending order of enrollment.
SELECT LOCATION FROM school ORDER BY Enrollment ASC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What is the list of school locations sorted in ascending order of school enrollment?
SELECT LOCATION FROM school ORDER BY Enrollment ASC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
List the locations of schools in descending order of founded year.
SELECT LOCATION FROM school ORDER BY Founded DESC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What is the list of school locations sorted in descending order of school foundation year?
SELECT LOCATION FROM school ORDER BY Founded DESC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the enrollments of schools whose denomination is not "Catholic"?
SELECT Enrollment FROM school WHERE Denomination != "Catholic"
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
List the enrollment for each school that does not have "Catholic" as denomination.
SELECT Enrollment FROM school WHERE Denomination != "Catholic"
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What is the average enrollment of schools?
SELECT avg(Enrollment) FROM school
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Take the average of the school enrollment.
SELECT avg(Enrollment) FROM school
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the teams of the players, sorted in ascending alphabetical order?
SELECT Team FROM player ORDER BY Team ASC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Find the team of each player and sort them in ascending alphabetical order.
SELECT Team FROM player ORDER BY Team ASC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
How many different positions of players are there?
SELECT count(DISTINCT POSITION) FROM player
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Count the number of distinct player positions.
SELECT count(DISTINCT POSITION) FROM player
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Find the team of the player of the highest age.
SELECT Team FROM player ORDER BY Age DESC LIMIT 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Which team has the oldest player?
SELECT Team FROM player ORDER BY Age DESC LIMIT 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
List the teams of the players with the top 5 largest ages.
SELECT Team FROM player ORDER BY Age DESC LIMIT 5
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the teams that have the 5 oldest players?
SELECT Team FROM player ORDER BY Age DESC LIMIT 5
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
For each player, show the team and the location of school they belong to.
SELECT T1.Team , T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the team and the location of school each player belongs to?
SELECT T1.Team , T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Show the locations of schools that have more than 1 player.
SELECT T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_ID HAVING COUNT(*) > 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Which schools have more than 1 player? Give me the school locations.
SELECT T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_ID HAVING COUNT(*) > 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Show the denomination of the school that has the most players.
SELECT T2.Denomination FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_ID ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What is the denomination of the school the most players belong to?
SELECT T2.Denomination FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_ID ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Show locations and nicknames of schools.
SELECT T1.Location , T2.Nickname FROM school AS T1 JOIN school_details AS T2 ON T1.School_ID = T2.School_ID
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the location and nickname of each school?
SELECT T1.Location , T2.Nickname FROM school AS T1 JOIN school_details AS T2 ON T1.School_ID = T2.School_ID
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Please show different denominations and the corresponding number of schools.
SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
For each denomination, return the denomination and the count of schools with that denomination.
SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Please show different denominations and the corresponding number of schools in descending order.
SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination ORDER BY COUNT(*) DESC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Order denominations in descending order of the count of schools with the denomination. Return each denomination with the count of schools.
SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination ORDER BY COUNT(*) DESC
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
List the school color of the school that has the largest enrollment.
SELECT School_Colors FROM school ORDER BY Enrollment DESC LIMIT 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What is the school color of the school with the largest enrollment?
SELECT School_Colors FROM school ORDER BY Enrollment DESC LIMIT 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
List the locations of schools that do not have any player.
SELECT LOCATION FROM school WHERE School_ID NOT IN (SELECT School_ID FROM Player)
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Which schools do not have any player? Give me the school locations.
SELECT LOCATION FROM school WHERE School_ID NOT IN (SELECT School_ID FROM Player)
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Show the denomination shared by schools founded before 1890 and schools founded after 1900
SELECT Denomination FROM school WHERE Founded < 1890 INTERSECT SELECT Denomination FROM school WHERE Founded > 1900
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the denominations used by both schools founded before 1890 and schools founded after 1900?
SELECT Denomination FROM school WHERE Founded < 1890 INTERSECT SELECT Denomination FROM school WHERE Founded > 1900
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Show the nicknames of schools that are not in division 1.
SELECT Nickname FROM school_details WHERE Division != "Division 1"
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the nicknames of schools whose division is not 1?
SELECT Nickname FROM school_details WHERE Division != "Division 1"
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
Show the denomination shared by more than one school.
SELECT Denomination FROM school GROUP BY Denomination HAVING COUNT(*) > 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1
school_player
What are the denomination more than one school have?
SELECT Denomination FROM school GROUP BY Denomination HAVING COUNT(*) > 1
CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) 3 rows from school table: School_ID School Location Enrollment Founded Denomination Boys_or_Girls Day_or_Boarding Year_Entered_Competition School_Colors 1 St Aloysius' College Milsons Point 1200.0 1879.0 Catholic Boys Day 1929.0 Royal Blue and Gold 2 Barker College Hornsby 2300.0 1890.0 Anglican Boys only to Yr 9 Co-ed Year 10 to 12 Day & Boarding 1929.0 Red & Blue 3 Cranbrook School Bellevue Hill 1000.0 1918.0 Anglican Boys Day & Boarding 1929.0 Red, White & Blue CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_details table: School_ID Nickname Colors League Class Division 1 Tigers Blue and Yellow DSHA Flight A Division 1 2 Auks Dark Green and White DSHA Flight B Division 3 3 Buccaneers Garnet and White DSHA Fight A Division 1 CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from school_performance table: School_Id School_Year Class_A Class_AA 1 1987-88 Yantis Blanco 1 1988-89 Happy Blanco 1 1989-90 Skidmore-Tynan Bishop CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) 3 rows from player table: Player_ID Player Team Age Position School_ID 1 Timothy Beckham Tampa Bay Devil Rays 15 Shortstop 1 2 Pedro Álvarez Pittsburgh Pirates 14 Third baseman 2 3 Eric Hosmer Kansas City Royals 16 First Baseman 1