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