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game_1
How many different types of sports do we offer?
SELECT count(DISTINCT sportname) FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "different", "types", "of", "sports", "do", "we", "offer", "?" ]
game_1
How many students play sports?
SELECT count(DISTINCT StuID) FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "students", "play", "sports", "?" ]
game_1
How many different students are involved in sports?
SELECT count(DISTINCT StuID) FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "different", "students", "are", "involved", "in", "sports", "?" ]
game_1
List ids for all student who are on scholarship.
SELECT StuID FROM Sportsinfo WHERE onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "List", "ids", "for", "all", "student", "who", "are", "on", "scholarship", "." ]
game_1
What are the ids for all sporty students who are on scholarship?
SELECT StuID FROM Sportsinfo WHERE onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "for", "all", "sporty", "students", "who", "are", "on", "scholarship", "?" ]
game_1
Show last names for all student who are on scholarship.
SELECT T2.Lname FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "last", "names", "for", "all", "student", "who", "are", "on", "scholarship", "." ]
game_1
What are the last names for all scholarship students?
SELECT T2.Lname FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "last", "names", "for", "all", "scholarship", "students", "?" ]
game_1
How many games are played for all students?
SELECT sum(gamesplayed) FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "games", "are", "played", "for", "all", "students", "?" ]
game_1
What is the total number of games played?
SELECT sum(gamesplayed) FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "total", "number", "of", "games", "played", "?" ]
game_1
How many games are played for all football games by students on scholarship?
SELECT sum(gamesplayed) FROM Sportsinfo WHERE sportname = "Football" AND onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "games", "are", "played", "for", "all", "football", "games", "by", "students", "on", "scholarship", "?" ]
game_1
What is the total number of all football games played by scholarship students?
SELECT sum(gamesplayed) FROM Sportsinfo WHERE sportname = "Football" AND onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "total", "number", "of", "all", "football", "games", "played", "by", "scholarship", "students", "?" ]
game_1
Show all sport name and the number of students.
SELECT sportname , count(*) FROM Sportsinfo GROUP BY sportname
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "sport", "name", "and", "the", "number", "of", "students", "." ]
game_1
How many students play each sport?
SELECT sportname , count(*) FROM Sportsinfo GROUP BY sportname
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "students", "play", "each", "sport", "?" ]
game_1
Show all student IDs with the number of sports and total number of games played
SELECT StuID , count(*) , sum(gamesplayed) FROM Sportsinfo GROUP BY StuID
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "student", "IDs", "with", "the", "number", "of", "sports", "and", "total", "number", "of", "games", "played" ]
game_1
What are the ids of all students along with how many sports and games did they play?
SELECT StuID , count(*) , sum(gamesplayed) FROM Sportsinfo GROUP BY StuID
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "students", "along", "with", "how", "many", "sports", "and", "games", "did", "they", "play", "?" ]
game_1
Show all student IDs with more than total 10 hours per week on all sports played.
SELECT StuID FROM Sportsinfo GROUP BY StuID HAVING sum(hoursperweek) > 10
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "student", "IDs", "with", "more", "than", "total", "10", "hours", "per", "week", "on", "all", "sports", "played", "." ]
game_1
What are the student IDs for everybody who worked for more than 10 hours per week on all sports?
SELECT StuID FROM Sportsinfo GROUP BY StuID HAVING sum(hoursperweek) > 10
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "student", "IDs", "for", "everybody", "who", "worked", "for", "more", "than", "10", "hours", "per", "week", "on", "all", "sports", "?" ]
game_1
What is the first name and last name of the student who have most number of sports?
SELECT T2.Fname , T2.Lname FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID GROUP BY T1.StuID ORDER BY count(*) DESC LIMIT 1
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "first", "name", "and", "last", "name", "of", "the", "student", "who", "have", "most", "number", "of", "sports", "?" ]
game_1
What is the first and last name of the student who played the most sports?
SELECT T2.Fname , T2.Lname FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID GROUP BY T1.StuID ORDER BY count(*) DESC LIMIT 1
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "first", "and", "last", "name", "of", "the", "student", "who", "played", "the", "most", "sports", "?" ]
game_1
Which sport has most number of students on scholarship?
SELECT sportname FROM Sportsinfo WHERE onscholarship = 'Y' GROUP BY sportname ORDER BY count(*) DESC LIMIT 1
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Which", "sport", "has", "most", "number", "of", "students", "on", "scholarship", "?" ]
game_1
What is the sport with the most scholarship students?
SELECT sportname FROM Sportsinfo WHERE onscholarship = 'Y' GROUP BY sportname ORDER BY count(*) DESC LIMIT 1
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "sport", "with", "the", "most", "scholarship", "students", "?" ]
game_1
Show student ids who don't have any sports.
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "student", "ids", "who", "do", "n't", "have", "any", "sports", "." ]
game_1
What are the ids of all students who don't play sports?
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Sportsinfo
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "students", "who", "do", "n't", "play", "sports", "?" ]
game_1
Show student ids who are on scholarship and have major 600.
SELECT StuID FROM Student WHERE major = 600 INTERSECT SELECT StuID FROM Sportsinfo WHERE onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "student", "ids", "who", "are", "on", "scholarship", "and", "have", "major", "600", "." ]
game_1
What are the student ids for those on scholarship in major number 600?
SELECT StuID FROM Student WHERE major = 600 INTERSECT SELECT StuID FROM Sportsinfo WHERE onscholarship = 'Y'
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "student", "ids", "for", "those", "on", "scholarship", "in", "major", "number", "600", "?" ]
game_1
Show student ids who are female and play football.
SELECT StuID FROM Student WHERE sex = 'F' INTERSECT SELECT StuID FROM Sportsinfo WHERE sportname = "Football"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "student", "ids", "who", "are", "female", "and", "play", "football", "." ]
game_1
What are the ids of all female students who play football?
SELECT StuID FROM Student WHERE sex = 'F' INTERSECT SELECT StuID FROM Sportsinfo WHERE sportname = "Football"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "female", "students", "who", "play", "football", "?" ]
game_1
Show all male student ids who don't play football.
SELECT StuID FROM Student WHERE sex = 'M' EXCEPT SELECT StuID FROM Sportsinfo WHERE sportname = "Football"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "male", "student", "ids", "who", "do", "n't", "play", "football", "." ]
game_1
What are the ids of all male students who do not play football?
SELECT StuID FROM Student WHERE sex = 'M' EXCEPT SELECT StuID FROM Sportsinfo WHERE sportname = "Football"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "male", "students", "who", "do", "not", "play", "football", "?" ]
game_1
Show total hours per week and number of games played for student David Shieber.
SELECT sum(hoursperweek) , sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.Fname = "David" AND T2.Lname = "Shieber"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "total", "hours", "per", "week", "and", "number", "of", "games", "played", "for", "student", "David", "Shieber", "." ]
game_1
What is the total number of hours per work and number of games played by David Shieber?
SELECT sum(hoursperweek) , sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.Fname = "David" AND T2.Lname = "Shieber"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "total", "number", "of", "hours", "per", "work", "and", "number", "of", "games", "played", "by", "David", "Shieber", "?" ]
game_1
Show total hours per week and number of games played for students under 20.
SELECT sum(hoursperweek) , sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.age < 20
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "total", "hours", "per", "week", "and", "number", "of", "games", "played", "for", "students", "under", "20", "." ]
game_1
What is the total number of hours per week and number of games played by students under 20?
SELECT sum(hoursperweek) , sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.age < 20
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "total", "number", "of", "hours", "per", "week", "and", "number", "of", "games", "played", "by", "students", "under", "20", "?" ]
game_1
How many students play video games?
SELECT count(DISTINCT StuID) FROM Plays_games
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "students", "play", "video", "games", "?" ]
game_1
How many different students play games?
SELECT count(DISTINCT StuID) FROM Plays_games
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "How", "many", "different", "students", "play", "games", "?" ]
game_1
Show ids of students who don't play video game.
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Plays_games
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "ids", "of", "students", "who", "do", "n't", "play", "video", "game", "." ]
game_1
What are the ids of all students who are not video game players?
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Plays_games
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "students", "who", "are", "not", "video", "game", "players", "?" ]
game_1
Show ids of students who play video game and play sports.
SELECT StuID FROM Sportsinfo INTERSECT SELECT StuID FROM Plays_games
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "ids", "of", "students", "who", "play", "video", "game", "and", "play", "sports", "." ]
game_1
What are the ids of all students who played video games and sports?
SELECT StuID FROM Sportsinfo INTERSECT SELECT StuID FROM Plays_games
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "students", "who", "played", "video", "games", "and", "sports", "?" ]
game_1
Show all game ids and the number of hours played.
SELECT gameid , sum(hours_played) FROM Plays_games GROUP BY gameid
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "game", "ids", "and", "the", "number", "of", "hours", "played", "." ]
game_1
What are ids and total number of hours played for each game?
SELECT gameid , sum(hours_played) FROM Plays_games GROUP BY gameid
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "ids", "and", "total", "number", "of", "hours", "played", "for", "each", "game", "?" ]
game_1
Show all student ids and the number of hours played.
SELECT Stuid , sum(hours_played) FROM Plays_games GROUP BY Stuid
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "student", "ids", "and", "the", "number", "of", "hours", "played", "." ]
game_1
What are the ids of all students and number of hours played?
SELECT Stuid , sum(hours_played) FROM Plays_games GROUP BY Stuid
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "ids", "of", "all", "students", "and", "number", "of", "hours", "played", "?" ]
game_1
Show the game name that has most number of hours played.
SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid ORDER BY sum(hours_played) DESC LIMIT 1
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "the", "game", "name", "that", "has", "most", "number", "of", "hours", "played", "." ]
game_1
What is the name of the game that has been played the most?
SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid ORDER BY sum(hours_played) DESC LIMIT 1
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "name", "of", "the", "game", "that", "has", "been", "played", "the", "most", "?" ]
game_1
Show all game names played by at least 1000 hours.
SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid HAVING sum(hours_played) >= 1000
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "game", "names", "played", "by", "at", "least", "1000", "hours", "." ]
game_1
What are the names of all the games that have been played for at least 1000 hours?
SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid HAVING sum(hours_played) >= 1000
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "names", "of", "all", "the", "games", "that", "have", "been", "played", "for", "at", "least", "1000", "hours", "?" ]
game_1
Show all game names played by Linda Smith
SELECT Gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid JOIN Student AS T3 ON T3.Stuid = T1.Stuid WHERE T3.Lname = "Smith" AND T3.Fname = "Linda"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Show", "all", "game", "names", "played", "by", "Linda", "Smith" ]
game_1
What are the names of all games played by Linda Smith?
SELECT Gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid JOIN Student AS T3 ON T3.Stuid = T1.Stuid WHERE T3.Lname = "Smith" AND T3.Fname = "Linda"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "names", "of", "all", "games", "played", "by", "Linda", "Smith", "?" ]
game_1
Find the last and first name of students who are playing Football or Lacrosse.
SELECT T2.lname , T2.fname FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.SportName = "Football" OR T1.SportName = "Lacrosse"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Find", "the", "last", "and", "first", "name", "of", "students", "who", "are", "playing", "Football", "or", "Lacrosse", "." ]
game_1
What is the first and last name of all students who play Football or Lacrosse?
SELECT T2.lname , T2.fname FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.SportName = "Football" OR T1.SportName = "Lacrosse"
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "is", "the", "first", "and", "last", "name", "of", "all", "students", "who", "play", "Football", "or", "Lacrosse", "?" ]
game_1
Find the first name and age of the students who are playing both Football and Lacrosse.
SELECT fname , age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName = "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName = "Lacrosse")
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Find", "the", "first", "name", "and", "age", "of", "the", "students", "who", "are", "playing", "both", "Football", "and", "Lacrosse", "." ]
game_1
What are the first names and ages of all students who are playing both Football and Lacrosse?
SELECT fname , age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName = "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName = "Lacrosse")
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "What", "are", "the", "first", "names", "and", "ages", "of", "all", "students", "who", "are", "playing", "both", "Football", "and", "Lacrosse", "?" ]
game_1
Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games.
SELECT lname , sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Works of Widenius")
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "Find", "the", "last", "name", "and", "gender", "of", "the", "students", "who", "are", "playing", "both", "Call", "of", "Destiny", "and", "Works", "of", "Widenius", "games", "." ]
game_1
what is the last name and gender of all students who played both Call of Destiny and Works of Widenius?
SELECT lname , sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Works of Widenius")
Student: StuID (number), LName (text), Fname (text), Age (number), Sex (text), Major (number), Advisor (number), city_code (text) | Video_Games: GameID (number), GName (text), GType (text) | Plays_Games: StuID (number), GameID (number), Hours_Played (number) | SportsInfo: StuID (number), SportName (text), HoursPerWeek ...
[ "what", "is", "the", "last", "name", "and", "gender", "of", "all", "students", "who", "played", "both", "Call", "of", "Destiny", "and", "Works", "of", "Widenius", "?" ]
customers_and_addresses
Find the name of all customers.
SELECT customer_name FROM customers
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "name", "of", "all", "customers", "." ]
customers_and_addresses
What are the names of all the customers?
SELECT customer_name FROM customers
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "names", "of", "all", "the", "customers", "?" ]
customers_and_addresses
How many customers are there?
SELECT count(*) FROM customers
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "How", "many", "customers", "are", "there", "?" ]
customers_and_addresses
Return the total number of distinct customers.
SELECT count(*) FROM customers
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Return", "the", "total", "number", "of", "distinct", "customers", "." ]
customers_and_addresses
What is the average amount of items ordered in each order?
SELECT avg(order_quantity) FROM order_items
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "is", "the", "average", "amount", "of", "items", "ordered", "in", "each", "order", "?" ]
customers_and_addresses
Find the average order quantity per order.
SELECT avg(order_quantity) FROM order_items
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "average", "order", "quantity", "per", "order", "." ]
customers_and_addresses
What are the names of customers who use payment method "Cash"?
SELECT customer_name FROM customers WHERE payment_method = "Cash"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "names", "of", "customers", "who", "use", "payment", "method", "``", "Cash", "''", "?" ]
customers_and_addresses
Which customers use "Cash" for payment method? Return the customer names.
SELECT customer_name FROM customers WHERE payment_method = "Cash"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "customers", "use", "``", "Cash", "''", "for", "payment", "method", "?", "Return", "the", "customer", "names", "." ]
customers_and_addresses
Find the "date became customers" of the customers whose ID is between 10 and 20.
SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "``", "date", "became", "customers", "''", "of", "the", "customers", "whose", "ID", "is", "between", "10", "and", "20", "." ]
customers_and_addresses
What are the dates when customers with ids between 10 and 20 became customers?
SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "dates", "when", "customers", "with", "ids", "between", "10", "and", "20", "became", "customers", "?" ]
customers_and_addresses
Which payment method is used by most customers?
SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "payment", "method", "is", "used", "by", "most", "customers", "?" ]
customers_and_addresses
Find the payment method that is used most frequently.
SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "payment", "method", "that", "is", "used", "most", "frequently", "." ]
customers_and_addresses
What are the names of customers using the most popular payment method?
SELECT customer_name FROM customers WHERE payment_method = (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1)
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "names", "of", "customers", "using", "the", "most", "popular", "payment", "method", "?" ]
customers_and_addresses
Find the name of the customers who use the most frequently used payment method.
SELECT customer_name FROM customers WHERE payment_method = (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1)
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "name", "of", "the", "customers", "who", "use", "the", "most", "frequently", "used", "payment", "method", "." ]
customers_and_addresses
What are all the payment methods?
SELECT DISTINCT payment_method FROM customers
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "all", "the", "payment", "methods", "?" ]
customers_and_addresses
Return all the distinct payment methods used by customers.
SELECT DISTINCT payment_method FROM customers
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Return", "all", "the", "distinct", "payment", "methods", "used", "by", "customers", "." ]
customers_and_addresses
What are the details of all products?
SELECT DISTINCT product_details FROM products
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "details", "of", "all", "products", "?" ]
customers_and_addresses
Return the the details of all products.
SELECT DISTINCT product_details FROM products
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Return", "the", "the", "details", "of", "all", "products", "." ]
customers_and_addresses
Find the name of all customers whose name contains "Alex".
SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "name", "of", "all", "customers", "whose", "name", "contains", "``", "Alex", "''", "." ]
customers_and_addresses
Which customer's name contains "Alex"? Find the full name.
SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "customer", "'s", "name", "contains", "``", "Alex", "''", "?", "Find", "the", "full", "name", "." ]
customers_and_addresses
Find the detail of products whose detail contains the word "Latte" or the word "Americano"
SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "detail", "of", "products", "whose", "detail", "contains", "the", "word", "``", "Latte", "''", "or", "the", "word", "``", "Americano", "''" ]
customers_and_addresses
Which product's detail contains the word "Latte" or "Americano"? Return the full detail.
SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "product", "'s", "detail", "contains", "the", "word", "``", "Latte", "''", "or", "``", "Americano", "''", "?", "Return", "the", "full", "detail", "." ]
customers_and_addresses
What is the address content of the customer named "Maudie Kertzmann"?
SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t1.customer_name = "Maudie Kertzmann"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "is", "the", "address", "content", "of", "the", "customer", "named", "``", "Maudie", "Kertzmann", "''", "?" ]
customers_and_addresses
Return the address content for the customer whose name is "Maudie Kertzmann".
SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t1.customer_name = "Maudie Kertzmann"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Return", "the", "address", "content", "for", "the", "customer", "whose", "name", "is", "``", "Maudie", "Kertzmann", "''", "." ]
customers_and_addresses
How many customers are living in city "Lake Geovannyton"?
SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.city = "Lake Geovannyton"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "How", "many", "customers", "are", "living", "in", "city", "``", "Lake", "Geovannyton", "''", "?" ]
customers_and_addresses
Find the number of customers who live in the city called Lake Geovannyton.
SELECT count(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.city = "Lake Geovannyton"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "number", "of", "customers", "who", "live", "in", "the", "city", "called", "Lake", "Geovannyton", "." ]
customers_and_addresses
Find the name of customers who are living in Colorado?
SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.state_province_county = "Colorado"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "name", "of", "customers", "who", "are", "living", "in", "Colorado", "?" ]
customers_and_addresses
What are the names of customers who live in Colorado state?
SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.state_province_county = "Colorado"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "names", "of", "customers", "who", "live", "in", "Colorado", "state", "?" ]
customers_and_addresses
Find the list of cities that no customer is living in.
SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id)
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "list", "of", "cities", "that", "no", "customer", "is", "living", "in", "." ]
customers_and_addresses
What are the cities no customers live in?
SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id)
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "cities", "no", "customers", "live", "in", "?" ]
customers_and_addresses
Which city has the most customers living in?
SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "city", "has", "the", "most", "customers", "living", "in", "?" ]
customers_and_addresses
Find the city where the most customers live.
SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "city", "where", "the", "most", "customers", "live", "." ]
customers_and_addresses
Retrieve the list of all cities.
SELECT DISTINCT city FROM addresses
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Retrieve", "the", "list", "of", "all", "cities", "." ]
customers_and_addresses
List all the distinct cities
SELECT DISTINCT city FROM addresses
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "List", "all", "the", "distinct", "cities" ]
customers_and_addresses
Find the city with post code 255.
SELECT city FROM addresses WHERE zip_postcode = 255
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "city", "with", "post", "code", "255", "." ]
customers_and_addresses
Which city is post code 255 located in?
SELECT city FROM addresses WHERE zip_postcode = 255
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "city", "is", "post", "code", "255", "located", "in", "?" ]
customers_and_addresses
Find the state and country of all cities with post code starting with 4.
SELECT state_province_county , country FROM addresses WHERE zip_postcode LIKE "4%"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "state", "and", "country", "of", "all", "cities", "with", "post", "code", "starting", "with", "4", "." ]
customers_and_addresses
What are the state and country of all the cities that have post codes starting with 4.\
SELECT state_province_county , country FROM addresses WHERE zip_postcode LIKE "4%"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "are", "the", "state", "and", "country", "of", "all", "the", "cities", "that", "have", "post", "codes", "starting", "with", "4.\\" ]
customers_and_addresses
List the countries having more than 4 addresses listed.
SELECT country FROM addresses GROUP BY country HAVING count(address_id) > 4
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "List", "the", "countries", "having", "more", "than", "4", "addresses", "listed", "." ]
customers_and_addresses
For which countries are there more than four distinct addresses listed?
SELECT country FROM addresses GROUP BY country HAVING count(address_id) > 4
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "For", "which", "countries", "are", "there", "more", "than", "four", "distinct", "addresses", "listed", "?" ]
customers_and_addresses
List all the contact channel codes that were used less than 5 times.
SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id) < 5
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "List", "all", "the", "contact", "channel", "codes", "that", "were", "used", "less", "than", "5", "times", "." ]
customers_and_addresses
Which contact channel codes were used less than 5 times?
SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id) < 5
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "contact", "channel", "codes", "were", "used", "less", "than", "5", "times", "?" ]
customers_and_addresses
Which contact channel has been used by the customer with name "Tillman Ernser"?
SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Which", "contact", "channel", "has", "been", "used", "by", "the", "customer", "with", "name", "``", "Tillman", "Ernser", "''", "?" ]
customers_and_addresses
Find the contact channel code that was used by the customer named "Tillman Ernser".
SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "Find", "the", "contact", "channel", "code", "that", "was", "used", "by", "the", "customer", "named", "``", "Tillman", "Ernser", "''", "." ]
customers_and_addresses
What is the "active to date" of the latest contact channel used by "Tillman Ernser"?
SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"
Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) | Products: product_id (number), product_details (text) | Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...
[ "What", "is", "the", "``", "active", "to", "date", "''", "of", "the", "latest", "contact", "channel", "used", "by", "``", "Tillman", "Ernser", "''", "?" ]