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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What are the issues of the complains of male clients and products from age 25 and below?
| SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.age < 25; |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the reviews from midwest region, what are the products that received 1 star?
| SELECT DISTINCT T3.Product FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.Region = 'Midwest' AND T3.Stars = 1; |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List the products involved in the complaints received on March 2017 via TOVA server.
| SELECT DISTINCT T2.Product FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.server = 'TOVA' AND T2.`Date received` LIKE '2017-03%'; |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage?
| SELECT T1.division FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 AND T2.Date = '2017-12-17' AND T2.Product = 'Eagle National Mortgage'; |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In complaints about the credit card product, list the phone number of the oldest client.
| SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' ORDER BY T1.age DESC LIMIT 1; |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In complaints received in 2014, how many of them were submitted via call?
| SELECT COUNT(T2.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Phone' AND strftime('%Y', T1.`Date received`) = '2014'; |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients.
| SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client ); |
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In reviews of product with 5 stars, what is the percentage of the reviews coming from the division of East North Central?
| SELECT CAST(SUM(CASE WHEN T1.division = 'East North Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.division) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Please list the names of the production company of the movie "Four Rooms".
| SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many production companies does the movie "Four Rooms" have?
| SELECT COUNT(CNAME) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' ); |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Please list the titles of all the movie produced by production company "Universal Pictures".
| SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the title of the latest released movie produced by production company "Universal Pictures"?
| SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures' ORDER BY T3.release_date DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the name of the director of photography of the movie "Pirates of the Caribbean: At World's End"?
| SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Director of Photography'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What was the job of Dariusz Wolski in the movie "Pirates of the Caribbean: At World's End"?
| SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T3.person_name = 'Dariusz Wolski'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Please list the names of all the crew members of the movie "Pirates of the Caribbean: At World's End".
| SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many crew members worked as producer in the movie "Pirates of the Caribbean: At World's End"?
| SELECT COUNT(T3.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Please list the names of all the producers in the movie "Pirates of the Caribbean: At World's End".
| SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- In how many movie does Dariusz Wolski work as the director of photography?
| SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Among the movie in which Dariusz Wolski works as the director of photography, what is the title of the one with the highest average vote?
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' ORDER BY T1.vote_average DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- When was the release date of the latest movie in which Dariusz Wolski worked as a crew member?
| SELECT T1.release_date FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' ORDER BY T1.release_date DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Among the movie in which Dariusz Wolski works as the director of photography, what is the percentage of those movie whose vote average is over 5.0?
| SELECT CAST(COUNT(CASE WHEN T1.vote_average > 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.vote_average) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the average revenue of the movie in which Dariusz Wolski works as the director of photography?
| SELECT CAST(SUM(T1.revenue) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Give the name of the movie with a revenue of 559852396.
| SELECT title FROM movie WHERE revenue = 559852396; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What was David Rubin's job in the movie "Days of Thunder"?
| SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'David Rubin' AND T1.title = 'Days of Thunder'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many movies were directed by Michael Bay?
| SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Michael Bay' AND T2.job = 'Director'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Show the total number of keywords of the movie "I Hope They Serve Beer in Hell".
| SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- For the movie "Land of the Dead", who is its director?
| SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Land of the Dead' AND T2.job = 'Director'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Tell the number of movies made by Paramount Animation.
| SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Paramount Animation'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many female characters are there in the movie "Spider-Man 3"?
| SELECT COUNT(*) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Spider-Man 3' AND T3.gender = 'Female'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Provide the most used keyword in the movies.
| SELECT T1.keyword_name FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id GROUP BY T1.keyword_name ORDER BY COUNT(T1.keyword_name) DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many producers does the movie "The Amityville Horror" have?
| SELECT COUNT(T2.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Amityville Horror' AND T2.job = 'Producer'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the production company of the movie "Crazy Heart"?
| SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Crazy Heart'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Give the number of movies with "saving the world" as the keyword.
| SELECT COUNT(T2.movie_id) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id WHERE keyword_name = 'saving the world'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- For all the movies which were produced by Cruel and Unusual Films, which one has the most popularity?
| SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Cruel and Unusual Films' ORDER BY T3.popularity DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- For the movie "Reign of Fire", which department was Marcia Ross in?
| SELECT T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T3.person_name = 'Marcia Ross' AND T1.title = 'Reign of Fire'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Calculate the average budget of the movies directed by Jaume Collet-Serra.
| SELECT CAST(SUM(T1.budget) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jaume Collet-Serra' AND T2.job = 'Director'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the percentage of male characters in the movie "Bride Wars"?
| SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Bride Wars'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the title of the movie that was made with the most money and resources?
| SELECT title FROM movie ORDER BY budget DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many movies have made at least 1 Billion at the box office?
| SELECT COUNT(movie_id) FROM movie WHERE revenue > 1000000000; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- When was the first movie released?
| SELECT MIN(release_date) FROM movie WHERE movie_status = 'Released'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many crew are named John Young?
| SELECT COUNT(person_id) FROM person WHERE person_name = 'John Young'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Provide the title of the movie that is most-liked by a large number of people.
| SELECT title FROM movie ORDER BY popularity DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Who is the person associated with the crew id 1325273?
| SELECT person_name FROM person WHERE person_id = 1325273; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the name of the production company that made the most movies?
| SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Who played Captain Jack Sparrow in all of the Pirates of the Caribbean movies?
| SELECT DISTINCT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.character_name = 'Captain Jack Sparrow' AND T1.title LIKE 'Pirates of the Caribbean%'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is Walt Disney Pictures' most popular movie?
| SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Walt Disney Pictures' ORDER BY T3.popularity DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many movies did Universal Studios release?
| SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Universal Studios'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Which production company produced the movie that made the most money at the box office?
| SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id GROUP BY T1.company_id ORDER BY SUM(T3.revenue) DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many female crews are in the movie "Mr. Smith Goes to Washington"?
| SELECT COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Mr. Smith Goes to Washington' AND T3.gender = 'Female'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List the names of the production companies that made at least 200 movies.
| SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many movies did Harrison Ford appear in total?
| SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Harrison Ford'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the title of Jamie Foxx's most recent movie?
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jamie Foxx' ORDER BY T1.release_date DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many movies released in 1995 did Quentin Tarantino appear in?
| SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Quentin Tarantino' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1995; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the title of the first crime movie ever released?
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Crime' ORDER BY T1.release_date LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many horror movies are there?
| SELECT COUNT(T1.movie_id) FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Horror'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List the person IDs of the second film editors in Movie No. 12.
| SELECT person_id FROM movie_crew WHERE movie_id = 12 AND job = 'Second Film Editor'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many animators does Movie No. 129 have?
| SELECT COUNT(movie_id) FROM movie_crew WHERE movie_id = 129 AND job = 'Animation'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- In Movie No. 19, how many people are there in Department No. 7? Please give me their job.
| SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Write the person ID and character name of casts between order numbers 1 and 10 in Movie No. 285.
| SELECT person_id, character_name FROM movie_cast WHERE movie_id = 285 AND cast_order BETWEEN 1 AND 10; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many times did Bob Peterson appear in the movie credits?
| SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Bob Peterson'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Tally the movie ID and character name in the movie starring Jim Carrey.
| SELECT T2.movie_id, T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Jim Carrey'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Give the names of the female cast in Movie No. 1865.
| SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN gender AS T3 ON T1.gender_id = T3.gender_id WHERE T1.movie_id = 1865 AND T3.gender = 'Female'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Write me the titles of the movies starring Jim Carrey.
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jim Carrey'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List the director's name of the movies released between 1/01/1916 and 12/31/1925.
| SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN movie AS T3 ON T1.movie_id = T3.movie_id INNER JOIN movie_crew AS T4 ON T1.movie_id = T4.movie_id WHERE T4.job = 'Director' AND T3.release_date BETWEEN '1916-01-01' AND '1925-12-31'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many films released between 1/2/1990 and 12/30/2000 starred Uma Thurman?
| SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Uma Thurman' AND T1.release_date BETWEEN '1990-01-01' AND '2000-12-31'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Write the titles of horror films with a vote average of more than 7.
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Horror' AND vote_average > 7; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Give the genre and popularity of movies whose revenue is at least 120,000,000 between 2012 and 2015.
| SELECT T3.genre_name, T1.popularity FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.revenue > 120000000 AND T1.release_date BETWEEN '2012-01-01' AND '2015-12-31'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- How many Indian movies between 1/2/1990 and 12/30/2003 have revenue of more than 75,000,000 and popularity of no less than 20?
| SELECT COUNT(T2.movie_id) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.revenue > 75000000 AND T1.popularity >= 20 AND T1.release_date BETWEEN '1990-01-01' AND '2003-12-31'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the title of the highest-budget film to date? Please include the revenue and name the country.
| SELECT T1.title, T1.revenue, T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id ORDER BY T1.budget DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List the title of movies in Latin released between 1/01/1990 and 12/31/1995.
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin' AND T1.release_date BETWEEN '1990-01-01' AND '1995-12-31'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the average revenue of American movies in 2006?
| SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'United States of America' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2006; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Calculate the 2016 gap between the average revenue for Indian and American films.
| SELECT AVG(CASE WHEN T3.COUNTry_name = 'United States of America' THEN T1.revenue END) - AVG(CASE WHEN T3.COUNTry_name = 'India' THEN T1.revenue END) AS CALCULATE FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2016; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the percentage of romance films among films produced in India in 2015?
| SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Romance' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER JOIN COUNTry AS T5 ON T3.COUNTry_id = T5.COUNTry_id WHERE T5.COUNTry_name = 'India' AND T1.release_date BETWEEN '2015-01-01' AND '2015-12-31'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Which actor plays Optimus Prime?
| SELECT DISTINCT T1.person_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T2.character_name = 'Optimus Prime (voice)'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the gender of the character 'USAF Master Sgt. Epps?'
| SELECT T2.gender FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id WHERE T1.character_name = 'USAF Master Sgt. Epps'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List all companies who worked in the movie 'Ultramarines: A Warhammer 40,000 Movie.'
| SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Ultramarines: A Warhammer 40,000 Movie'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Which movie did the company 'Radiant Film GmbH' work on?
| SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Radiant Film GmbH'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What are the genres of Sky Captain and the World of Tomorrow?
| SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Write all the keywords belonging to the movie 'Sky Captain and the World of Tomorrow.'
| SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- The movie 'Gojira ni-sen mireniamu' is from which country?
| SELECT T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T1.title = 'Gojira ni-sen mireniamu'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Which movie has the keyword 'extremis?'
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'extremis'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List 10 movie titles that were produced in France.
| SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'France' LIMIT 10; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Who is the director for the movie 'Transformers?'
| SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Transformers' AND T2.job = 'Director'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List 10 crews alongside their jobs who worked on the movie 'Mad Max: Fury Road.'
| SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Mad Max: Fury Road' LIMIT 10; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What percentage of movies that came from Japan belong in the 'animation' genre?
| SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Animation' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER JOIN COUNTry AS T5 ON T3.COUNTry_id = T5.COUNTry_id WHERE T5.COUNTry_name = 'Japan'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the ratio between male and female cast members of the movie 'Iron Man?' Count how many have unspecified genders.
| SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'Female' THEN 1 ELSE NULL END) AS RATIO , COUNT(CASE WHEN T3.gender = 'Unspecified' THEN 1 ELSE NULL END) AS UNGENDERS FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Iron Man'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List down five movie titles that were released before 2000.
| SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) < 2000 LIMIT 5; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the keyword ID of the movie with the title of "Sin City"?
| SELECT T2.keyword_id FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Sin City'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Look for the movie title with the keyword of "angel".
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'angel'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Which keywords belong to the movie titles with the highest popularity?
| SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id ORDER BY T1.popularity DESC LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Provide the genre ID of the movie with the title of "The Dark Knight".
| SELECT T2.genre_id FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Dark Knight'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List down the movie titles within the genre of thriller.
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Thriller'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Write down five rumoured movie titles within the genre of Drama.
| SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.movie_status = 'Rumored' AND T3.genre_name = 'Drama' LIMIT 5; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the genre of the movie title with the lowest revenue generated?
| SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.revenue LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- State the genre of the movie title with a runtime of only 14 minutes.
| SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.runtime = 14; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the genre of the movie title which was well-received by the audiences but made the lowest revenue?
| SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.vote_average DESC, T1.revenue LIMIT 1; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Provide the genre of a movie title with a tagline of "A long time ago in a galaxy far, far away…".
| SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T3.genre_id = T2.genre_id WHERE T1.tagline = 'A long time ago in a galaxy far, far away...'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- What is the country ID of the movie with the title of "Pirates of the Caribbean: Dead Man's Chest"?
| SELECT T2.COUNTry_id FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title LIKE 'Pirates of the Caribbean: Dead Man%s Chest'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- List down the movie titles that were produced in Canada.
| SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'Canada'; |
-- Database schema
| country : country_id [ INTEGER ] primary_key , country_iso_code [ TEXT ] , country_name [ TEXT ] | department : department_id [ INTEGER ] primary_key , department_name [ TEXT ] | gender : gender_id [ INTEGER ] primary_key , gender [ TEXT ] | genre : genre_id [ INTEGER ] primary_key , genre_name [ TEXT ] | keyword : keyword_id [ INTEGER ] primary_key , keyword_name [ TEXT ] | language : language_id [ INTEGER ] primary_key , language_code [ TEXT ] , language_name [ TEXT ] | language_role : role_id [ INTEGER ] primary_key , language_role [ TEXT ] | movie : movie_id [ INTEGER ] primary_key , title [ TEXT ] , budget [ INTEGER ] , homepage [ TEXT ] , overview [ TEXT ] , popularity [ REAL ] , release_date [ DATE ] , revenue [ INTEGER ] , runtime [ INTEGER ] , movie_status [ TEXT ] , tagline [ TEXT ] , vote_average [ REAL ] , vote_count [ INTEGER ] | movie_genres : movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id , genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id | movie_languages : movie_id [ INTEGER ] movie_languages.movie_id = movie.movie_id , language_id [ INTEGER ] movie_languages.language_id = language.language_id , language_role_id [ INTEGER ] movie_languages.language_role_id = language_role.role_id | person : person_id [ INTEGER ] primary_key , person_name [ TEXT ] | movie_crew : movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id , person_id [ INTEGER ] movie_crew.person_id = person.person_id , department_id [ INTEGER ] movie_crew.department_id = department.department_id , job [ TEXT ] | production_company : company_id [ INTEGER ] primary_key , company_name [ TEXT ] | production_country : movie_id [ INTEGER ] production_country.movie_id = movie.movie_id , country_id [ INTEGER ] production_country.country_id = country.country_id | movie_cast : movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id , person_id [ INTEGER ] movie_cast.person_id = person.person_id , character_name [ TEXT ] , gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id , cast_order [ INTEGER ] | movie_keywords : movie_id [ INTEGER ] , keyword_id [ INTEGER ] | movie_company : movie_id [ INTEGER ] , company_id [ INTEGER ] |
-- -- Accumulate the budget of the movie titles with the keyword of "video game".
| SELECT SUM(T1.budget) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'video game'; |
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