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CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What are the dates that have an average sea level pressure between 30.3 and 31?

SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31

easy

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference.

SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1

medium

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What are the days that had the smallest temperature range, and what was that range?

SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1

medium

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What are the id and name of the stations that have ever had more than 12 bikes available?

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

medium

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What are the different ids and names of the stations that have had more than 12 bikes available?

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

medium

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place.

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

hard

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there?

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

hard

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

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?

SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100

hard

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips

SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100

hard

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

How many trips started from Mountain View city and ended at Palo Alto city?

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"

extra

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

How many trips stated from a station in Mountain View and ended at one in Palo Alto?

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"

extra

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What is the average latitude and longitude of the starting points of all trips?

SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id

medium

CREATE TABLE station (id number, name text, lat number, long number, dock_count number, city text, installation_date text); CREATE TABLE status (station_id number, bikes_available number, docks_available number, time text); CREATE TABLE 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); CREATE TABLE 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);

What is the average latitude and longitude of all starting stations for the trips?

SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

How many books are there?

SELECT count(*) FROM book

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

List the writers of the books in ascending alphabetical order.

SELECT Writer FROM book ORDER BY Writer ASC

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

List the titles of the books in ascending order of issues.

SELECT Title FROM book ORDER BY Issues ASC

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

What are the titles of the books whose writer is not "Elaine Lee"?

SELECT Title FROM book WHERE Writer != "Elaine Lee"

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

What are the title and issues of the books?

SELECT Title , Issues FROM book

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

What are the dates of publications in descending order of price?

SELECT Publication_Date FROM publication ORDER BY Price DESC

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

What are the distinct publishers of publications with price higher than 5000000?

SELECT DISTINCT Publisher FROM publication WHERE Price > 5000000

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

List the publisher of the publication with the highest price.

SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

List the publication dates of publications with 3 lowest prices.

SELECT Publication_Date FROM publication ORDER BY Price ASC LIMIT 3

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show the title and publication dates of books.

SELECT T1.Title , T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show writers who have published a book with price more than 4000000.

SELECT T1.Writer FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID WHERE T2.Price > 4000000

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show the titles of books in descending order of publication price.

SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show publishers that have more than one publication.

SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show different publishers together with the number of publications they have.

SELECT Publisher , COUNT(*) FROM publication GROUP BY Publisher

medium

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Please show the most common publication date.

SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

List the writers who have written more than one book.

SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

List the titles of books that are not published.

SELECT Title FROM book WHERE Book_ID NOT IN (SELECT Book_ID FROM publication)

hard

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show the publishers that have publications with price higher than 10000000 and publications with price lower than 5000000.

SELECT Publisher FROM publication WHERE Price > 10000000 INTERSECT SELECT Publisher FROM publication WHERE Price < 5000000

hard

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

What is the number of distinct publication dates?

SELECT COUNT (DISTINCT Publication_Date) FROM publication

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

How many distinct publication dates are there in our record?

SELECT COUNT (DISTINCT Publication_Date) FROM publication

easy

CREATE TABLE publication (Publication_ID number, Book_ID number, Publisher text, Publication_Date text, Price number); CREATE TABLE book (Book_ID number, Title text, Issues number, Writer text);

Show the prices of publications whose publisher is either "Person" or "Wiley"

SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley"

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

How many actors are there?

SELECT count(*) FROM actor

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Count the number of actors.

SELECT count(*) FROM actor

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

List the name of actors in ascending alphabetical order.

SELECT Name FROM actor ORDER BY Name ASC

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of actors, ordered alphabetically?

SELECT Name FROM actor ORDER BY Name ASC

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the characters and duration of actors?

SELECT Character , Duration FROM actor

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Return the characters and durations for each actor.

SELECT Character , Duration FROM actor

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

List the name of actors whose age is not 20.

SELECT Name FROM actor WHERE Age != 20

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of actors who are not 20 years old?

SELECT Name FROM actor WHERE Age != 20

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the characters of actors in descending order of age?

SELECT Character FROM actor ORDER BY age DESC

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Return the characters for actors, ordered by age descending.

SELECT Character FROM actor ORDER BY age DESC

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What is the duration of the oldest actor?

SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Return the duration of the actor with the greatest age.

SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of musicals with nominee "Bob Fosse"?

SELECT Name FROM musical WHERE Nominee = "Bob Fosse"

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Return the names of musicals who have the nominee Bob Fosse.

SELECT Name FROM musical WHERE Nominee = "Bob Fosse"

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the distinct nominees of the musicals with the award that is not "Tony Award"?

SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Return the different nominees of musicals that have an award that is not the Tony Award.

SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show names of actors and names of musicals they are in.

SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of actors and the musicals that they are in?

SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show names of actors that have appeared in musical with name "The Phantom of the Opera".

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"

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of actors who have been in the musical titled The Phantom of the Opera?

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"

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show names of actors in descending order of the year their musical is awarded.

SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of actors ordered descending by the year in which their musical was awarded?

SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show names of musicals and the number of actors who have appeared in the musicals.

SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

How many actors have appeared in each musical?

SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show names of musicals which have at least three actors.

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

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of musicals who have at 3 or more actors?

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

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show different nominees and the number of musicals they have been nominated.

SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

How many musicals has each nominee been nominated for?

SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Please show the nominee who has been nominated the greatest number of times.

SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Who is the nominee who has been nominated for the most musicals?

SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

List the most common result of the musicals.

SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Return the most frequent result across all musicals.

SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

List the nominees that have been nominated more than two musicals.

SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Who are the nominees who have been nominated more than two times?

SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2

easy

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

List the name of musicals that do not have actors.

SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

What are the names of musicals who have no actors?

SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show the nominees that have nominated musicals for both "Tony Award" and "Drama Desk Award".

SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Who are the nominees who have been nominated for both a Tony Award and a Drama Desk Award?

SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"

hard

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks".

SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"

medium

CREATE TABLE musical (Musical_ID number, Name text, Year number, Award text, Category text, Nominee text, Result text); CREATE TABLE actor (Actor_ID number, Name text, Musical_ID number, Character text, Duration text, age number);

Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards?

SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the emails of the user named "Mary".

SELECT email FROM user_profiles WHERE name = 'Mary'

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

What is the partition id of the user named "Iron Man".

SELECT partitionid FROM user_profiles WHERE name = 'Iron Man'

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

How many users are there?

SELECT count(*) FROM user_profiles

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

How many followers does each user have?

SELECT count(*) FROM follows

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the number of followers for each user.

SELECT count(*) FROM follows GROUP BY f1

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the number of tweets in record.

SELECT count(*) FROM tweets

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the number of users who posted some tweets.

SELECT count(DISTINCT UID) FROM tweets

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name and email of the user whose name contains the word ‘Swift’.

SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%'

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the names of users whose emails contain ‘superstar’ or ‘edu’.

SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%'

extra

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Return the text of tweets about the topic 'intern'.

SELECT text FROM tweets WHERE text LIKE '%intern%'

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name and email of the users who have more than 1000 followers.

SELECT name , email FROM user_profiles WHERE followers > 1000

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the names of the users whose number of followers is greater than that of the user named "Tyler Swift".

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')

extra

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name and email for the users who have more than one follower.

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

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the names of users who have more than one tweet.

SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the id of users who are followed by Mary and Susan.

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"

extra

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the id of users who are followed by Mary or Susan.

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"

hard

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name of the user who has the largest number of followers.

SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 1

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name and email of the user followed by the least number of people.

SELECT name , email FROM user_profiles ORDER BY followers LIMIT 1

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

List the name and number of followers for each user, and sort the results by the number of followers in descending order.

SELECT name , followers FROM user_profiles ORDER BY followers DESC

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

List the names of 5 users followed by the largest number of other users.

SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 5

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

List the text of all tweets in the order of date.

SELECT text FROM tweets ORDER BY createdate

easy

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name of each user and number of tweets tweeted by each of them.

SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name and partition id for users who tweeted less than twice.

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

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the name of the user who tweeted more than once, and number of tweets tweeted by them.

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

medium

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the average number of followers for the users who do not have any tweet.

SELECT avg(followers) FROM user_profiles WHERE UID NOT IN (SELECT UID FROM tweets)

extra

CREATE TABLE follows (f1 number, f2 number); CREATE TABLE tweets (id number, uid number, text text, createdate time); CREATE TABLE user_profiles (uid number, name text, email text, partitionid number, followers number);

Find the average number of followers for the users who had some tweets.

SELECT avg(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets)

hard