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music_4
SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC
How many music festivals have had each kind of result, ordered descending by count?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23
What are the issue dates of volumes associated with the artist aged 23 or younger?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23
Return the issue dates of volumes by artists who are at most 23 years old?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
roller_coaster
SELECT count(*) FROM roller_coaster
How many roller coasters are there?
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Name FROM roller_coaster ORDER BY LENGTH ASC
List the names of roller coasters by ascending order of length.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT LENGTH , Height FROM roller_coaster
What are the lengths and heights of roller coasters?
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Name FROM country WHERE Languages != "German"
List the names of countries whose language is not "German".
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Status FROM roller_coaster WHERE LENGTH > 3300 OR Height > 100
Show the statuses of roller coasters longer than 3300 or higher than 100.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Speed FROM roller_coaster ORDER BY LENGTH DESC LIMIT 1
What are the speeds of the longest roller coaster?
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT avg(Speed) FROM roller_coaster
What is the average speed of roller coasters?
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Status , COUNT(*) FROM roller_coaster GROUP BY Status
Show the different statuses and the numbers of roller coasters for each status.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Status FROM roller_coaster GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1
Please show the most common status of roller coasters.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Status FROM roller_coaster GROUP BY Status HAVING COUNT(*) > 2
List the status shared by more than two roller coaster.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT Park FROM roller_coaster ORDER BY Speed DESC LIMIT 1
Show the park of the roller coaster with the highest speed.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT T2.Name , T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID
Show the names of roller coasters and names of country they are in.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
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
Show the names of countries that have more than one roller coaster.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
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
Show the name and population of the country that has the highest roller coaster.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
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
Show the names of countries and the average speed of roller coasters from each country.
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
SELECT count(*) FROM country WHERE country_id NOT IN ( SELECT country_id FROM roller_coaster WHERE LENGTH > 3000 )
How many countries do not have an roller coaster longer than 3000?
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
roller_coaster
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
What are the country names, area and population which has both roller coasters with speed higher
[Schema (values) (types)]: | roller_coaster | roller_coaster : roller_coaster_id (text) , name (number) , park (text) , country_id (text) , length (number) , height (number) , speed (number) , opened (text) , status (text) | country : country_id (text) , name (number) , population (text) , area (text) , languages (number);
[Primary Keys]: roller_coaster : roller_coaster_id, country : country_id
[Foreign Keys]: roller_coaster : country_id = country : country_id
ship_1
SELECT count(DISTINCT rank) FROM captain
How many different captain ranks are there?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(DISTINCT rank) FROM captain
Count the number of different ranks of captain.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) , rank FROM captain GROUP BY rank
How many captains are in each rank?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) , rank FROM captain GROUP BY rank
Count the number of captains that have each rank.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) , rank FROM captain WHERE age < 50 GROUP BY rank
How many captains with younger than 50 are in each rank?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) , rank FROM captain WHERE age < 50 GROUP BY rank
Count the number of captains younger than 50 of each rank.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM captain ORDER BY age DESC
Sort all captain names by their ages from old to young.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM captain ORDER BY age DESC
What are the names of captains, sorted by age descending?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , CLASS , rank FROM captain
Find the name, class and rank of all captains.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , CLASS , rank FROM captain
What are the names, classes, and ranks of all captains?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT rank FROM captain GROUP BY rank ORDER BY count(*) DESC LIMIT 1
Which rank is the most common among captains?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT rank FROM captain GROUP BY rank ORDER BY count(*) DESC LIMIT 1
Return the rank for which there are the fewest captains.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT CLASS FROM captain GROUP BY CLASS HAVING count(*) > 2
Which classes have more than two captains?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT CLASS FROM captain GROUP BY CLASS HAVING count(*) > 2
Give the classes that have more than two captains.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant'
Find the name of captains whose rank are either Midshipman or Lieutenant.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant'
What are the names of captains that have either the rank Midshipman or Lieutenant?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT avg(age) , min(age) , CLASS FROM captain GROUP BY CLASS
What are the average and minimum age of captains in different class?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT avg(age) , min(age) , CLASS FROM captain GROUP BY CLASS
Return the average and minimum age of captains in each class.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT rank FROM captain WHERE CLASS = 'Cutter' INTERSECT SELECT rank FROM captain WHERE CLASS = 'Armed schooner'
Find the captain rank that has some captains in both Cutter and Armed schooner classes.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT rank FROM captain WHERE CLASS = 'Cutter' INTERSECT SELECT rank FROM captain WHERE CLASS = 'Armed schooner'
What are the ranks of captains that are both in the Cutter and Armed schooner classes?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line'
Find the captain rank that has no captain in Third-rate ship of the line class.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line'
What are the ranks of captains that have no captain that are in the Third-rate ship of the line class?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM captain ORDER BY age LIMIT 1
What is the name of the youngest captain?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM captain ORDER BY age LIMIT 1
Return the name of the youngest captain.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) FROM ship
how many ships are there?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) FROM ship
Count the number of ships.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , TYPE , flag FROM ship ORDER BY built_year DESC LIMIT 1
Find the name, type, and flag of the ship that is built in the most recent year.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , TYPE , flag FROM ship ORDER BY built_year DESC LIMIT 1
What is the name, type, and flag of the ship that was built in the most recent year?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) , flag FROM ship GROUP BY flag
Group by ships by flag, and return number of ships that have each flag.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT count(*) , flag FROM ship GROUP BY flag
What are the different ship flags, and how many ships have each?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT flag FROM ship GROUP BY flag ORDER BY count(*) DESC LIMIT 1
Which flag is most widely used among all ships?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT flag FROM ship GROUP BY flag ORDER BY count(*) DESC LIMIT 1
Return the flag that is most common among all ships.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM ship ORDER BY built_year , CLASS
List all ship names in the order of built year and class.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name FROM ship ORDER BY built_year , CLASS
What are the names of ships, ordered by year they were built and their class?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT TYPE FROM ship WHERE flag = 'Panama' INTERSECT SELECT TYPE FROM ship WHERE flag = 'Malta'
Find the ship type that are used by both ships with Panama and Malta flags.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT TYPE FROM ship WHERE flag = 'Panama' INTERSECT SELECT TYPE FROM ship WHERE flag = 'Malta'
What types of ships have both ships that have Panama Flags and Malta flags?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT built_year FROM ship GROUP BY built_year ORDER BY count(*) DESC LIMIT 1
In which year were most of ships built?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT built_year FROM ship GROUP BY built_year ORDER BY count(*) DESC LIMIT 1
What is the year in which most ships were built?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
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
Find the name of the ships that have more than one captain.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
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
What are the names of ships that have more than one captain?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , CLASS FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain)
what are the names and classes of the ships that do not have any captain yet?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , CLASS FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain)
Return the names and classes of ships that do not have a captain?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age LIMIT 1
Find the name of the ship that is steered by the youngest captain.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age LIMIT 1
What is the name of the ship that is commanded by the youngest captain?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman')
Find the name and flag of ships that are not steered by any captain with Midshipman rank.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman')
What are the names and flags of ships that do not have a captain with the rank of Midshipman?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
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'
Find the name of the ships that are steered by both a captain with Midshipman rank and a captain with Lieutenant rank.
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
ship_1
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'
What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant?
[Schema (values) (types)]: | ship_1 | captain : captain_id (text) , name (number) , ship_id (text) , age (number) , class (text) , rank (text) | Ship : ship_id (text) , name (number) , type (text) , built_year (number) , class (text) , flag (text);
[Primary Keys]: captain : captain_id, ship : ship_id
[Foreign Keys]: captain : ship_id = ship : ship_id
city_record
SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1
What is id of the city that hosted events in the most recent year?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1
Find the city that hosted some events in the most recent year. What is the id of this city?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"
Find the match ids of the cities that hosted competition "1994 FIFA World Cup qualification"?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"
What is the match id of the competition called "1994 FIFA World Cup qualification"?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010
Find the cities which were once a host city after 2010?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010
Which cities served as a host city after 2010?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Which city has hosted the most events?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Find the city that hosted the most events.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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"
What is the venue of the competition "1994 FIFA World Cup qualification" hosted by "Nanjing ( Jiangsu )"?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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"
Find the venue of the competition "1994 FIFA World Cup qualification" which was hosted by "Nanjing ( Jiangsu )".
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"
Give me the temperature of Shanghai in January.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"
What is the temperature of "Shanghai" city in January?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"
What is the host year of city "Taizhou ( Zhejiang )"?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"
IN which year did city "Taizhou ( Zhejiang )" serve as a host city?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city FROM city ORDER BY regional_population DESC LIMIT 3
Which three cities have the largest regional population?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city FROM city ORDER BY regional_population DESC LIMIT 3
What are the three largest cities in terms of regional population?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city , GDP FROM city ORDER BY GDP LIMIT 1
Which city has the lowest GDP? Please list the city name and its GDP.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city , GDP FROM city ORDER BY GDP LIMIT 1
What is the city with the smallest GDP? Return the city and its GDP.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Which city has the highest temperature in February?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
In February, which city marks the highest temperature?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Give me a list of cities whose temperature in March is lower than that in July or higher than that in Oct?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Which cities' temperature in March is lower than that in July or higher than that in Oct?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Which cities have lower temperature in March than in July and have been once host cities?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Give me a list of cities whose temperature in Mar is lower than that in Dec and which have never been host cities.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Which cities have lower temperature in March than in Dec and have never served as host cities?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Give me a list of cities whose temperature in Feb is higher than that in Jun or cities that were once host cities?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
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
Which cities have higher temperature in Feb than in Jun or have once served as host cities?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city FROM city WHERE regional_population > 10000000
Please give me a list of cities whose regional population is over 10000000.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city FROM city WHERE regional_population > 10000000
Which cities have regional population above 10000000?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000
Please give me a list of cities whose regional population is over 8000000 or under 5000000.
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id
city_record
SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000
Which cities have regional population above 8000000 or below 5000000?
[Schema (values) (types)]: | city_record | city : city_id (text) , city (number) , hanzi (text) , hanyu_pinyin (text) , regional_population (text) , gdp (number) | match : match_id (text) , date (number) , venue (text) , score (text) , result (text) , competition (number) | temperature : city_id (text) , jan (number) , feb (text) , mar (text) , apr (text) , jun (number) , jul (number) , aug (number) , sep (text) , oct (text) , nov (text) , dec (text) | hosting_city : year (text) , match_id (number) , host_city (text);
[Primary Keys]: city : city_id, match : match_id, temperature : city_id, hosting_city : year
[Foreign Keys]: temperature : city_id = city : city_id | hosting_city : match_id = match : match_id | hosting_city : host_city = city : city_id