input
stringlengths 236
16.9k
| output
stringlengths 19
805
|
|---|---|
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- How many music festivals have had each kind of result, ordered descending by count?
| SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the issue dates of volumes associated with the artist aged 23 or younger?
| SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the issue dates of volumes by artists who are at most 23 years old?
| SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- How many roller coasters are there?
| SELECT count(*) FROM roller_coaster; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- List the names of roller coasters by ascending order of length.
| SELECT Name FROM roller_coaster ORDER BY LENGTH ASC; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- What are the lengths and heights of roller coasters?
| SELECT LENGTH , Height FROM roller_coaster; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- List the names of countries whose language is not "German".
| SELECT Name FROM country WHERE Languages != "German"; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the statuses of roller coasters longer than 3300 or higher than 100.
| SELECT Status FROM roller_coaster WHERE LENGTH > 3300 OR Height > 100; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- What are the speeds of the longest roller coaster?
| SELECT Speed FROM roller_coaster ORDER BY LENGTH DESC LIMIT 1; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- What is the average speed of roller coasters?
| SELECT avg(Speed) FROM roller_coaster; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the different statuses and the numbers of roller coasters for each status.
| SELECT Status , COUNT(*) FROM roller_coaster GROUP BY Status; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Please show the most common status of roller coasters.
| SELECT Status FROM roller_coaster GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- List the status shared by more than two roller coaster.
| SELECT Status FROM roller_coaster GROUP BY Status HAVING COUNT(*) > 2; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the park of the roller coaster with the highest speed.
| SELECT Park FROM roller_coaster ORDER BY Speed DESC LIMIT 1; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the names of roller coasters and names of country they are in.
| SELECT T2.Name , T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the names of countries that have more than one roller coaster.
| SELECT T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name HAVING COUNT(*) > 1; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the name and population of the country that has the highest roller coaster.
| SELECT T1.Name , T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID ORDER BY T2.Height DESC LIMIT 1; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- Show the names of countries and the average speed of roller coasters from each country.
| SELECT T1.Name , avg(T2.Speed) FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name; |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- How many countries do not have an roller coaster longer than 3000?
| SELECT count(*) FROM country WHERE country_id NOT IN ( SELECT country_id FROM roller_coaster WHERE LENGTH > 3000 ); |
-- Database schema
| roller_coaster : Roller_Coaster_ID [ INT ] primary_key , Name [ TEXT ] , Park [ TEXT ] , Country_ID [ INT ] roller_coaster.Country_ID = country.Country_ID , Length [ INT ] , Height [ INT ] , Speed [ TEXT ] , Opened [ TEXT ] , Status [ TEXT ] | country : Country_ID [ INT ] primary_key , Name [ TEXT ] , Population [ INT ] , Area [ INT ] , Languages [ TEXT ] |
-- -- What are the country names, area and population which has both roller coasters with speed higher
| SELECT T1.name , T1.area , T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed > 60 INTERSECT SELECT T1.name , T1.area , T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed < 55; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- How many different captain ranks are there?
| SELECT count(DISTINCT rank) FROM captain; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Count the number of different ranks of captain.
| SELECT count(DISTINCT rank) FROM captain; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- How many captains are in each rank?
| SELECT count(*) , rank FROM captain GROUP BY rank; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Count the number of captains that have each rank.
| SELECT count(*) , rank FROM captain GROUP BY rank; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- How many captains with younger than 50 are in each rank?
| SELECT count(*) , rank FROM captain WHERE age < 50 GROUP BY rank; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Count the number of captains younger than 50 of each rank.
| SELECT count(*) , rank FROM captain WHERE age < 50 GROUP BY rank; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Sort all captain names by their ages from old to young.
| SELECT name FROM captain ORDER BY age DESC; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names of captains, sorted by age descending?
| SELECT name FROM captain ORDER BY age DESC; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name, class and rank of all captains.
| SELECT name , CLASS , rank FROM captain; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names, classes, and ranks of all captains?
| SELECT name , CLASS , rank FROM captain; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Which rank is the most common among captains?
| SELECT rank FROM captain GROUP BY rank ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Return the rank for which there are the fewest captains.
| SELECT rank FROM captain GROUP BY rank ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Which classes have more than two captains?
| SELECT CLASS FROM captain GROUP BY CLASS HAVING count(*) > 2; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Give the classes that have more than two captains.
| SELECT CLASS FROM captain GROUP BY CLASS HAVING count(*) > 2; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name of captains whose rank are either Midshipman or Lieutenant.
| SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names of captains that have either the rank Midshipman or Lieutenant?
| SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the average and minimum age of captains in different class?
| SELECT avg(age) , min(age) , CLASS FROM captain GROUP BY CLASS; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Return the average and minimum age of captains in each class.
| SELECT avg(age) , min(age) , CLASS FROM captain GROUP BY CLASS; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the captain rank that has some captains in both Cutter and Armed schooner classes.
| SELECT rank FROM captain WHERE CLASS = 'Cutter' INTERSECT SELECT rank FROM captain WHERE CLASS = 'Armed schooner'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the ranks of captains that are both in the Cutter and Armed schooner classes?
| SELECT rank FROM captain WHERE CLASS = 'Cutter' INTERSECT SELECT rank FROM captain WHERE CLASS = 'Armed schooner'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the captain rank that has no captain in Third-rate ship of the line class.
| SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the ranks of captains that have no captain that are in the Third-rate ship of the line class?
| SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What is the name of the youngest captain?
| SELECT name FROM captain ORDER BY age LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Return the name of the youngest captain.
| SELECT name FROM captain ORDER BY age LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- how many ships are there?
| SELECT count(*) FROM ship; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Count the number of ships.
| SELECT count(*) FROM ship; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name, type, and flag of the ship that is built in the most recent year.
| SELECT name , TYPE , flag FROM ship ORDER BY built_year DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What is the name, type, and flag of the ship that was built in the most recent year?
| SELECT name , TYPE , flag FROM ship ORDER BY built_year DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Group by ships by flag, and return number of ships that have each flag.
| SELECT count(*) , flag FROM ship GROUP BY flag; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the different ship flags, and how many ships have each?
| SELECT count(*) , flag FROM ship GROUP BY flag; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Which flag is most widely used among all ships?
| SELECT flag FROM ship GROUP BY flag ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Return the flag that is most common among all ships.
| SELECT flag FROM ship GROUP BY flag ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- List all ship names in the order of built year and class.
| SELECT name FROM ship ORDER BY built_year , CLASS; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names of ships, ordered by year they were built and their class?
| SELECT name FROM ship ORDER BY built_year , CLASS; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the ship type that are used by both ships with Panama and Malta flags.
| SELECT TYPE FROM ship WHERE flag = 'Panama' INTERSECT SELECT TYPE FROM ship WHERE flag = 'Malta'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What types of ships have both ships that have Panama Flags and Malta flags?
| SELECT TYPE FROM ship WHERE flag = 'Panama' INTERSECT SELECT TYPE FROM ship WHERE flag = 'Malta'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- In which year were most of ships built?
| SELECT built_year FROM ship GROUP BY built_year ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What is the year in which most ships were built?
| SELECT built_year FROM ship GROUP BY built_year ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name of the ships that have more than one captain.
| SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id GROUP BY t2.ship_id HAVING count(*) > 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names of ships that have more than one captain?
| SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id GROUP BY t2.ship_id HAVING count(*) > 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- what are the names and classes of the ships that do not have any captain yet?
| SELECT name , CLASS FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain); |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Return the names and classes of ships that do not have a captain?
| SELECT name , CLASS FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain); |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name of the ship that is steered by the youngest captain.
| SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What is the name of the ship that is commanded by the youngest captain?
| SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age LIMIT 1; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name and flag of ships that are not steered by any captain with Midshipman rank.
| SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman'); |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names and flags of ships that do not have a captain with the rank of Midshipman?
| SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman'); |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- Find the name of the ships that are steered by both a captain with Midshipman rank and a captain with Lieutenant rank.
| SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant'; |
-- Database schema
| captain : Captain_ID [ INT ] primary_key , Name [ TEXT ] , Ship_ID [ INT ] captain.Ship_ID = Ship.Ship_ID , age [ TEXT ] , Class [ TEXT ] , Rank [ TEXT ] | Ship : Ship_ID [ INT ] primary_key , Name [ TEXT ] , Type [ TEXT ] , Built_Year [ INT ] , Class [ TEXT ] , Flag [ TEXT ] |
-- -- What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant?
| SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant'; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What is id of the city that hosted events in the most recent year?
| SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Find the city that hosted some events in the most recent year. What is the id of this city?
| SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Find the match ids of the cities that hosted competition "1994 FIFA World Cup qualification"?
| SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What is the match id of the competition called "1994 FIFA World Cup qualification"?
| SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Find the cities which were once a host city after 2010?
| SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities served as a host city after 2010?
| SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which city has hosted the most events?
| SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Find the city that hosted the most events.
| SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What is the venue of the competition "1994 FIFA World Cup qualification" hosted by "Nanjing ( Jiangsu )"?
| SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "Nanjing ( Jiangsu )" AND T3.competition = "1994 FIFA World Cup qualification"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Find the venue of the competition "1994 FIFA World Cup qualification" which was hosted by "Nanjing ( Jiangsu )".
| SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "Nanjing ( Jiangsu )" AND T3.competition = "1994 FIFA World Cup qualification"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Give me the temperature of Shanghai in January.
| SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What is the temperature of "Shanghai" city in January?
| SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What is the host year of city "Taizhou ( Zhejiang )"?
| SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- IN which year did city "Taizhou ( Zhejiang )" serve as a host city?
| SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which three cities have the largest regional population?
| SELECT city FROM city ORDER BY regional_population DESC LIMIT 3; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What are the three largest cities in terms of regional population?
| SELECT city FROM city ORDER BY regional_population DESC LIMIT 3; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which city has the lowest GDP? Please list the city name and its GDP.
| SELECT city , GDP FROM city ORDER BY GDP LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- What is the city with the smallest GDP? Return the city and its GDP.
| SELECT city , GDP FROM city ORDER BY GDP LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which city has the highest temperature in February?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.Feb DESC LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- In February, which city marks the highest temperature?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.Feb DESC LIMIT 1; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Give me a list of cities whose temperature in March is lower than that in July or higher than that in Oct?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul OR T2.Mar > T2.Oct; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities' temperature in March is lower than that in July or higher than that in Oct?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul OR T2.Mar > T2.Oct; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities have lower temperature in March than in July and have been once host cities?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Give me a list of cities whose temperature in Mar is lower than that in Dec and which have never been host cities.
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities have lower temperature in March than in Dec and have never served as host cities?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Give me a list of cities whose temperature in Feb is higher than that in Jun or cities that were once host cities?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Feb > T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities have higher temperature in Feb than in Jun or have once served as host cities?
| SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Feb > T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Please give me a list of cities whose regional population is over 10000000.
| SELECT city FROM city WHERE regional_population > 10000000; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities have regional population above 10000000?
| SELECT city FROM city WHERE regional_population > 10000000; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Please give me a list of cities whose regional population is over 8000000 or under 5000000.
| SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000; |
-- Database schema
| city : City_ID [ INT ] primary_key , City [ TEXT ] , Hanzi [ TEXT ] , Hanyu_Pinyin [ TEXT ] , Regional_Population [ INT ] , GDP [ INT ] | match : Match_ID [ INT ] primary_key , Date [ TEXT ] , Venue [ TEXT ] , Score [ TEXT ] , Result [ TEXT ] , Competition [ TEXT ] | temperature : City_ID [ INT ] primary_key temperature.City_ID = city.City_ID , Jan [ INT ] , Feb [ INT ] , Mar [ INT ] , Apr [ INT ] , Jun [ INT ] , Jul [ INT ] , Aug [ INT ] , Sep [ INT ] , Oct [ INT ] , Nov [ INT ] , Dec [ INT ] | hosting_city : Year [ INT ] primary_key , Match_ID [ INT ] hosting_city.Match_ID = match.Match_ID , Host_City [ TEXT ] hosting_city.Host_City = city.City_ID |
-- -- Which cities have regional population above 8000000 or below 5000000?
| SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000; |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.