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SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31
What are the dates that have an average sea level pressure between 30.3 and 31?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1
Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference.
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1
What are the days that had the smallest temperature range, and what was that range?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12
What are the id and name of the stations that have ever had more than 12 bikes available?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12
What are the different ids and names of the stations that have had more than 12 bikes available?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100
Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place.
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100
What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100
What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100
What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT count(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto"
How many trips started from Mountain View city and ended at Palo Alto city?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT count(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto"
How many trips stated from a station in Mountain View and ended at one in Palo Alto?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id
What is the average latitude and longitude of the starting points of all trips?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id
What is the average latitude and longitude of all starting stations for the trips?
"Schema (values (type))": station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_Speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number) "Primary Keys": station : id | trip : id "Foreign Keys": status : station_id equals station : id
SELECT count(*) FROM book
How many books are there?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Writer FROM book ORDER BY Writer ASC
List the writers of the books in ascending alphabetical order.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Title FROM book ORDER BY Issues ASC
List the titles of the books in ascending order of issues.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Title FROM book WHERE Writer != "Elaine Lee"
What are the titles of the books whose writer is not "Elaine Lee"?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Title , Issues FROM book
What are the title and issues of the books?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publication_Date FROM publication ORDER BY Price DESC
What are the dates of publications in descending order of price?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT DISTINCT Publisher FROM publication WHERE Price > 5000000
What are the distinct publishers of publications with price higher than 5000000?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1
List the publisher of the publication with the highest price.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publication_Date FROM publication ORDER BY Price ASC LIMIT 3
List the publication dates of publications with 3 lowest prices.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT T1.Title , T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID
Show the title and publication dates of books.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT T1.Writer FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID WHERE T2.Price > 4000000
Show writers who have published a book with price more than 4000000.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC
Show the titles of books in descending order of publication price.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1
Show publishers that have more than one publication.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publisher , COUNT(*) FROM publication GROUP BY Publisher
Show different publishers together with the number of publications they have.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1
Please show the most common publication date.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1
List the writers who have written more than one book.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Title FROM book WHERE Book_ID NOT IN (SELECT Book_ID FROM publication)
List the titles of books that are not published.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Publisher FROM publication WHERE Price > 10000000 INTERSECT SELECT Publisher FROM publication WHERE Price < 5000000
Show the publishers that have publications with price higher than 10000000 and publications with price lower than 5000000.
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT COUNT (DISTINCT Publication_Date) FROM publication
What is the number of distinct publication dates?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT COUNT (DISTINCT Publication_Date) FROM publication
How many distinct publication dates are there in our record?
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley"
Show the prices of publications whose publisher is either "Person" or "Wiley"
"Schema (values (type))": publication : Publication_ID (number) , Book_ID (number) , Publisher (text) , Publication_Date (text) , Price (number) | book : Book_ID (number) , Title (text) , Issues (number) , Writer (text) "Primary Keys": publication : Publication_ID | book : Book_ID "Foreign Keys": publication : Book_ID equals book : Book_ID
SELECT count(*) FROM actor
How many actors are there?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT count(*) FROM actor
Count the number of actors.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM actor ORDER BY Name ASC
List the name of actors in ascending alphabetical order.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM actor ORDER BY Name ASC
What are the names of actors, ordered alphabetically?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Character , Duration FROM actor
What are the characters and duration of actors?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Character , Duration FROM actor
Return the characters and durations for each actor.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM actor WHERE Age != 20
List the name of actors whose age is not 20.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM actor WHERE Age != 20
What are the names of actors who are not 20 years old?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Character FROM actor ORDER BY age DESC
What are the characters of actors in descending order of age?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Character FROM actor ORDER BY age DESC
Return the characters for actors, ordered by age descending.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1
What is the duration of the oldest actor?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1
Return the duration of the actor with the greatest age.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM musical WHERE Nominee = "Bob Fosse"
What are the names of musicals with nominee "Bob Fosse"?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM musical WHERE Nominee = "Bob Fosse"
Return the names of musicals who have the nominee Bob Fosse.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"
What are the distinct nominees of the musicals with the award that is not "Tony Award"?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"
Return the different nominees of musicals that have an award that is not the Tony Award.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID
Show names of actors and names of musicals they are in.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID
What are the names of actors and the musicals that they are in?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"
Show names of actors that have appeared in musical with name "The Phantom of the Opera".
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"
What are the names of actors who have been in the musical titled The Phantom of the Opera?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC
Show names of actors in descending order of the year their musical is awarded.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC
What are the names of actors ordered descending by the year in which their musical was awarded?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID
Show names of musicals and the number of actors who have appeared in the musicals.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID
How many actors have appeared in each musical?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3
Show names of musicals which have at least three actors.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3
What are the names of musicals who have at 3 or more actors?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee
Show different nominees and the number of musicals they have been nominated.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee
How many musicals has each nominee been nominated for?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1
Please show the nominee who has been nominated the greatest number of times.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1
Who is the nominee who has been nominated for the most musicals?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
List the most common result of the musicals.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
Return the most frequent result across all musicals.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2
List the nominees that have been nominated more than two musicals.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2
Who are the nominees who have been nominated more than two times?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)
List the name of musicals that do not have actors.
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)
What are the names of musicals who have no actors?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"
Show the nominees that have nominated musicals for both "Tony Award" and "Drama Desk Award".
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"
Who are the nominees who have been nominated for both a Tony Award and a Drama Desk Award?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"
Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks".
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"
Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards?
"Schema (values (type))": musical : Musical_ID (number) , Name (text) , Year (number) , Award (text) , Category (text) , Nominee (text) , Result (text) | actor : Actor_ID (number) , Name (text) , Musical_ID (number) , Character (text) , Duration (text) , age (number) "Primary Keys": musical : Musical_ID | actor : Actor_ID "Foreign Keys": actor : Musical_ID equals actor : Actor_ID
SELECT email FROM user_profiles WHERE name = 'Mary'
Find the emails of the user named "Mary".
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT partitionid FROM user_profiles WHERE name = 'Iron Man'
What is the partition id of the user named "Iron Man".
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT count(*) FROM user_profiles
How many users are there?
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT count(*) FROM follows
How many followers does each user have?
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT count(*) FROM follows GROUP BY f1
Find the number of followers for each user.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT count(*) FROM tweets
Find the number of tweets in record.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT count(DISTINCT UID) FROM tweets
Find the number of users who posted some tweets.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%'
Find the name and email of the user whose name contains the word ‘Swift’.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%'
Find the names of users whose emails contain ‘superstar’ or ‘edu’.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT text FROM tweets WHERE text LIKE '%intern%'
Return the text of tweets about the topic 'intern'.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name , email FROM user_profiles WHERE followers > 1000
Find the name and email of the users who have more than 1000 followers.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T1.name FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > (SELECT count(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift')
Find the names of the users whose number of followers is greater than that of the user named "Tyler Swift".
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T1.name , T1.email FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > 1
Find the name and email for the users who have more than one follower.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1
Find the names of users who have more than one tweet.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" INTERSECT SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Susan"
Find the id of users who are followed by Mary and Susan.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" OR T1.name = "Susan"
Find the id of users who are followed by Mary or Susan.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 1
Find the name of the user who has the largest number of followers.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name , email FROM user_profiles ORDER BY followers LIMIT 1
Find the name and email of the user followed by the least number of people.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name , followers FROM user_profiles ORDER BY followers DESC
List the name and number of followers for each user, and sort the results by the number of followers in descending order.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 5
List the names of 5 users followed by the largest number of other users.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT text FROM tweets ORDER BY createdate
List the text of all tweets in the order of date.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid
Find the name of each user and number of tweets tweeted by each of them.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T1.name , T1.partitionid FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) < 2
Find the name and partition id for users who tweeted less than twice.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1
Find the name of the user who tweeted more than once, and number of tweets tweeted by them.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT avg(followers) FROM user_profiles WHERE UID NOT IN (SELECT UID FROM tweets)
Find the average number of followers for the users who do not have any tweet.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid
SELECT avg(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets)
Find the average number of followers for the users who had some tweets.
"Schema (values (type))": follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number) "Primary Keys": follows : f1 | tweets : id | user_profiles : uid "Foreign Keys": follows : f2 equals user_profiles : uid | follows : f1 equals user_profiles : uid | tweets : uid equals user_profiles : uid