Datasets:

DeepIQInc

/

bird-with-chat

like 0

How many times per year does a credit card customer complain about overlimit fees?

SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`)

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # How many times per year does a credit card customer complain about overlimit fees?

Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old?

SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old?

Give me the full birthdate, email and phone number of the youngest client in Indianapolis .

SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Give me the full birthdate, email and phone number of the youngest client in Indianapolis .

List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order.

SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order.

What is the longest server time when the call is about the issue of arbitration?

SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the longest server time when the call is about the issue of arbitration?

Give me the social number and state of the client whose phone number is 100-121-8371.

SELECT T1.social, T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.phone = '100-121-8371'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Give me the social number and state of the client whose phone number is 100-121-8371.

List the full names and phone numbers of clients that were from the Pacific.

SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # List the full names and phone numbers of clients that were from the Pacific.

What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer.

SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) DESC LIMIT 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer.

How many female clients are there older than 30?

SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # How many female clients are there older than 30?

Please list all first and last names of clients who live in New York city.

SELECT first, last FROM client WHERE city = 'New York City'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Please list all first and last names of clients who live in New York city.

What is the oldest age of male clients?

SELECT MAX(age) FROM client WHERE sex = 'Male'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the oldest age of male clients?

Please calculate the number of clients by each division.

SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Please calculate the number of clients by each division.

What is the percentage of female clients in the Middle Atlantic?

SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the percentage of female clients in the Middle Atlantic?

What is the average age of clients in South Atlantic?

SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the average age of clients in South Atlantic?

Which city in the Midwest region has the least number of clients?

SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Which city in the Midwest region has the least number of clients?

How many customers in the Northeast use Microsoft email?

SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # How many customers in the Northeast use Microsoft email?

Which city in West North Central has the highest number of customers over the age of 60?

SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Which city in West North Central has the highest number of customers over the age of 60?

What is the percentage of complaints about the late fee issue whose priority is 2 in 2017?

SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the percentage of complaints about the late fee issue whose priority is 2 in 2017?

Which state has the most cities?

SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Which state has the most cities?

Please give the first name and phone number of the client whose complaint id is CR0922485.

SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Please give the first name and phone number of the client whose complaint id is CR0922485.

Please list the emails of the clients whose complaint date received is 7/3/2014.

SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Please list the emails of the clients whose complaint date received is 7/3/2014.

In 2012, how many complaints about Credit card product came from clients in Omaha?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In 2012, how many complaints about Credit card product came from clients in Omaha?

From 2012 to 2015, how many complaints were submitted via email from female clients?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # From 2012 to 2015, how many complaints were submitted via email from female clients?

Please list all clients' phone numbers and complaint IDs which are still in progress.

SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Please list all clients' phone numbers and complaint IDs which are still in progress.

In 2015, how many complaints about Billing disputes were sent by clients in Portland?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In 2015, how many complaints about Billing disputes were sent by clients in Portland?

In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days?

SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days?

In the complains received in 2012, how many of them are submitted through email?

SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In the complains received in 2012, how many of them are submitted through email?

Give the client ID of the complaint received on April 16, 2014 and submitted through fax.

SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Give the client ID of the complaint received on April 16, 2014 and submitted through fax.

List date of the review of the Eagle Capital from Indianapolis, Indiana.

SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # List date of the review of the Eagle Capital from Indianapolis, Indiana.

Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation?

SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation?

Among the female clients that age between 20 to 40, list the date when their complaints were received.

SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Among the female clients that age between 20 to 40, list the date when their complaints were received.

List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts.

SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts.

In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee?

SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee?

What are the issues of the complains of male clients and products from age 25 and below?

SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.age < 25

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What are the issues of the complains of male clients and products from age 25 and below?

Among the reviews from midwest region, what are the products that received 1 star?

SELECT DISTINCT T3.Product FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.Region = 'Midwest' AND T3.Stars = 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # Among the reviews from midwest region, what are the products that received 1 star?

List the products involved in the complaints received on March 2017 via TOVA server.

SELECT DISTINCT T2.Product FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.server = 'TOVA' AND T2.`Date received` LIKE '2017-03%'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # List the products involved in the complaints received on March 2017 via TOVA server.

What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage?

SELECT T1.division FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 AND T2.Date = '2017-12-17' AND T2.Product = 'Eagle National Mortgage'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage?

In complaints about the credit card product, list the phone number of the oldest client.

SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' ORDER BY T1.age DESC LIMIT 1

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In complaints about the credit card product, list the phone number of the oldest client.

In complaints received in 2014, how many of them were submitted via call?

SELECT COUNT(T2.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Phone' AND strftime('%Y', T1.`Date received`) = '2014'

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In complaints received in 2014, how many of them were submitted via call?

List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients.

SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client )

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients.

In reviews of product with 5 stars, what is the percentage of the reviews coming from the division of East North Central?

SELECT CAST(SUM(CASE WHEN T1.division = 'East North Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.division) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5

retail_complains

Database Schema: callcenterlogs (Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, , PRIMARY KEY(Complaint ID), FOREIGN KEY(rand client) REFERENCES client(client_id)) #client (client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, , PRIMARY KEY(client_id), FOREIGN KEY(district_id) REFERENCES district(district_id)) #district (district_id integer, city text, state_abbrev text, division text, , PRIMARY KEY(district_id), FOREIGN KEY(state_abbrev) REFERENCES state(StateCode)) #events (Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, , PRIMARY KEY(Complaint ID), PRIMARY KEY(Client_ID), FOREIGN KEY(Client_ID) REFERENCES client(client_id), FOREIGN KEY(Complaint ID) REFERENCES callcenterlogs(Complaint ID)) #reviews (Date date, Stars integer, Reviews text, Product text, district_id integer, , PRIMARY KEY(Date), FOREIGN KEY(district_id) REFERENCES district(district_id)) #state (StateCode text, State text, Region text, , PRIMARY KEY(StateCode), ) # In reviews of product with 5 stars, what is the percentage of the reviews coming from the division of East North Central?

Please list the names of the production company of the movie "Four Rooms".

SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Please list the names of the production company of the movie "Four Rooms".

How many production companies does the movie "Four Rooms" have?

SELECT COUNT(CNAME) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' )

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many production companies does the movie "Four Rooms" have?

Please list the titles of all the movie produced by production company "Universal Pictures".

SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Please list the titles of all the movie produced by production company "Universal Pictures".

What is the title of the latest released movie produced by production company "Universal Pictures"?

SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures' ORDER BY T3.release_date DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the title of the latest released movie produced by production company "Universal Pictures"?

What is the name of the director of photography of the movie "Pirates of the Caribbean: At World's End"?

SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Director of Photography'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the name of the director of photography of the movie "Pirates of the Caribbean: At World's End"?

What was the job of Dariusz Wolski in the movie "Pirates of the Caribbean: At World's End"?

SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T3.person_name = 'Dariusz Wolski'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What was the job of Dariusz Wolski in the movie "Pirates of the Caribbean: At World's End"?

Please list the names of all the crew members of the movie "Pirates of the Caribbean: At World's End".

SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Please list the names of all the crew members of the movie "Pirates of the Caribbean: At World's End".

How many crew members worked as producer in the movie "Pirates of the Caribbean: At World's End"?

SELECT COUNT(T3.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many crew members worked as producer in the movie "Pirates of the Caribbean: At World's End"?

Please list the names of all the producers in the movie "Pirates of the Caribbean: At World's End".

SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Please list the names of all the producers in the movie "Pirates of the Caribbean: At World's End".

In how many movie does Dariusz Wolski work as the director of photography?

SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # In how many movie does Dariusz Wolski work as the director of photography?

Among the movie in which Dariusz Wolski works as the director of photography, what is the title of the one with the highest average vote?

SELECT T1.title FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' ORDER BY T1.vote_average DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Among the movie in which Dariusz Wolski works as the director of photography, what is the title of the one with the highest average vote?

When was the release date of the latest movie in which Dariusz Wolski worked as a crew member?

SELECT T1.release_date FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' ORDER BY T1.release_date DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # When was the release date of the latest movie in which Dariusz Wolski worked as a crew member?

Among the movie in which Dariusz Wolski works as the director of photography, what is the percentage of those movie whose vote average is over 5.0?

SELECT CAST(COUNT(CASE WHEN T1.vote_average > 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.vote_average) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Among the movie in which Dariusz Wolski works as the director of photography, what is the percentage of those movie whose vote average is over 5.0?

What is the average revenue of the movie in which Dariusz Wolski works as the director of photography?

SELECT CAST(SUM(T1.revenue) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the average revenue of the movie in which Dariusz Wolski works as the director of photography?

Give the name of the movie with a revenue of 559852396.

SELECT title FROM movie WHERE revenue = 559852396

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Give the name of the movie with a revenue of 559852396.

What was David Rubin's job in the movie "Days of Thunder"?

SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'David Rubin' AND T1.title = 'Days of Thunder'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What was David Rubin's job in the movie "Days of Thunder"?

How many movies were directed by Michael Bay?

SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Michael Bay' AND T2.job = 'Director'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many movies were directed by Michael Bay?

Show the total number of keywords of the movie "I Hope They Serve Beer in Hell".

SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Show the total number of keywords of the movie "I Hope They Serve Beer in Hell".

For the movie "Land of the Dead", who is its director?

SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Land of the Dead' AND T2.job = 'Director'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # For the movie "Land of the Dead", who is its director?

Tell the number of movies made by Paramount Animation.

SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Paramount Animation'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Tell the number of movies made by Paramount Animation.

How many female characters are there in the movie "Spider-Man 3"?

SELECT COUNT(*) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Spider-Man 3' AND T3.gender = 'Female'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many female characters are there in the movie "Spider-Man 3"?

Provide the most used keyword in the movies.

SELECT T1.keyword_name FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id GROUP BY T1.keyword_name ORDER BY COUNT(T1.keyword_name) DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Provide the most used keyword in the movies.

How many producers does the movie "The Amityville Horror" have?

SELECT COUNT(T2.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Amityville Horror' AND T2.job = 'Producer'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many producers does the movie "The Amityville Horror" have?

What is the production company of the movie "Crazy Heart"?

SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Crazy Heart'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the production company of the movie "Crazy Heart"?

Give the number of movies with "saving the world" as the keyword.

SELECT COUNT(T2.movie_id) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id WHERE keyword_name = 'saving the world'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Give the number of movies with "saving the world" as the keyword.

For all the movies which were produced by Cruel and Unusual Films, which one has the most popularity?

SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Cruel and Unusual Films' ORDER BY T3.popularity DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # For all the movies which were produced by Cruel and Unusual Films, which one has the most popularity?

For the movie "Reign of Fire", which department was Marcia Ross in?

SELECT T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T3.person_name = 'Marcia Ross' AND T1.title = 'Reign of Fire'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # For the movie "Reign of Fire", which department was Marcia Ross in?

Calculate the average budget of the movies directed by Jaume Collet-Serra.

SELECT CAST(SUM(T1.budget) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jaume Collet-Serra' AND T2.job = 'Director'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Calculate the average budget of the movies directed by Jaume Collet-Serra.

What is the percentage of male characters in the movie "Bride Wars"?

SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Bride Wars'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the percentage of male characters in the movie "Bride Wars"?

What is the title of the movie that was made with the most money and resources?

SELECT title FROM movie ORDER BY budget DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the title of the movie that was made with the most money and resources?

How many movies have made at least 1 Billion at the box office?

SELECT COUNT(movie_id) FROM movie WHERE revenue > 1000000000

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many movies have made at least 1 Billion at the box office?

When was the first movie released?

SELECT MIN(release_date) FROM movie WHERE movie_status = 'Released'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # When was the first movie released?

How many crew are named John Young?

SELECT COUNT(person_id) FROM person WHERE person_name = 'John Young'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many crew are named John Young?

Provide the title of the movie that is most-liked by a large number of people.

SELECT title FROM movie ORDER BY popularity DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Provide the title of the movie that is most-liked by a large number of people.

Who is the person associated with the crew id 1325273?

SELECT person_name FROM person WHERE person_id = 1325273

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Who is the person associated with the crew id 1325273?

What is the name of the production company that made the most movies?

SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the name of the production company that made the most movies?

Who played Captain Jack Sparrow in all of the Pirates of the Caribbean movies?

SELECT DISTINCT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.character_name = 'Captain Jack Sparrow' AND T1.title LIKE 'Pirates of the Caribbean%'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Who played Captain Jack Sparrow in all of the Pirates of the Caribbean movies?

What is Walt Disney Pictures' most popular movie?

SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Walt Disney Pictures' ORDER BY T3.popularity DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is Walt Disney Pictures' most popular movie?

How many movies did Universal Studios release?

SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Universal Studios'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many movies did Universal Studios release?

Which production company produced the movie that made the most money at the box office?

SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id GROUP BY T1.company_id ORDER BY SUM(T3.revenue) DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Which production company produced the movie that made the most money at the box office?

How many female crews are in the movie "Mr. Smith Goes to Washington"?

SELECT COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Mr. Smith Goes to Washington' AND T3.gender = 'Female'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many female crews are in the movie "Mr. Smith Goes to Washington"?

List the names of the production companies that made at least 200 movies.

SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # List the names of the production companies that made at least 200 movies.

How many movies did Harrison Ford appear in total?

SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Harrison Ford'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many movies did Harrison Ford appear in total?

What is the title of Jamie Foxx's most recent movie?

SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jamie Foxx' ORDER BY T1.release_date DESC LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the title of Jamie Foxx's most recent movie?

How many movies released in 1995 did Quentin Tarantino appear in?

SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Quentin Tarantino' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1995

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many movies released in 1995 did Quentin Tarantino appear in?

What is the title of the first crime movie ever released?

SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Crime' ORDER BY T1.release_date LIMIT 1

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # What is the title of the first crime movie ever released?

How many horror movies are there?

SELECT COUNT(T1.movie_id) FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Horror'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many horror movies are there?

List the person IDs of the second film editors in Movie No. 12.

SELECT person_id FROM movie_crew WHERE movie_id = 12 AND job = 'Second Film Editor'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # List the person IDs of the second film editors in Movie No. 12.

How many animators does Movie No. 129 have?

SELECT COUNT(movie_id) FROM movie_crew WHERE movie_id = 129 AND job = 'Animation'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many animators does Movie No. 129 have?

In Movie No. 19, how many people are there in Department No. 7? Please give me their job.

SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # In Movie No. 19, how many people are there in Department No. 7? Please give me their job.

Write the person ID and character name of casts between order numbers 1 and 10 in Movie No. 285.

SELECT person_id, character_name FROM movie_cast WHERE movie_id = 285 AND cast_order BETWEEN 1 AND 10

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Write the person ID and character name of casts between order numbers 1 and 10 in Movie No. 285.

How many times did Bob Peterson appear in the movie credits?

SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Bob Peterson'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many times did Bob Peterson appear in the movie credits?

Tally the movie ID and character name in the movie starring Jim Carrey.

SELECT T2.movie_id, T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Jim Carrey'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Tally the movie ID and character name in the movie starring Jim Carrey.

Give the names of the female cast in Movie No. 1865.

SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN gender AS T3 ON T1.gender_id = T3.gender_id WHERE T1.movie_id = 1865 AND T3.gender = 'Female'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Give the names of the female cast in Movie No. 1865.

Write me the titles of the movies starring Jim Carrey.

SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jim Carrey'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Write me the titles of the movies starring Jim Carrey.

List the director's name of the movies released between 1/01/1916 and 12/31/1925.

SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN movie AS T3 ON T1.movie_id = T3.movie_id INNER JOIN movie_crew AS T4 ON T1.movie_id = T4.movie_id WHERE T4.job = 'Director' AND T3.release_date BETWEEN '1916-01-01' AND '1925-12-31'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # List the director's name of the movies released between 1/01/1916 and 12/31/1925.

How many films released between 1/2/1990 and 12/30/2000 starred Uma Thurman?

SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Uma Thurman' AND T1.release_date BETWEEN '1990-01-01' AND '2000-12-31'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # How many films released between 1/2/1990 and 12/30/2000 starred Uma Thurman?

Write the titles of horror films with a vote average of more than 7.

SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Horror' AND vote_average > 7

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Write the titles of horror films with a vote average of more than 7.

Give the genre and popularity of movies whose revenue is at least 120,000,000 between 2012 and 2015.

SELECT T3.genre_name, T1.popularity FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.revenue > 120000000 AND T1.release_date BETWEEN '2012-01-01' AND '2015-12-31'

movies_4

Database Schema: country (country_id integer, country_iso_code text, country_name text, , PRIMARY KEY(country_id), ) #department (department_id integer, department_name text, , PRIMARY KEY(department_id), ) #gender (gender_id integer, gender text, , PRIMARY KEY(gender_id), ) #genre (genre_id integer, genre_name text, , PRIMARY KEY(genre_id), ) #keyword (keyword_id integer, keyword_name text, , PRIMARY KEY(keyword_id), ) #language (language_id integer, language_code text, language_name text, , PRIMARY KEY(language_id), ) #language_role (role_id integer, language_role text, , PRIMARY KEY(role_id), ) #movie (movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, , PRIMARY KEY(movie_id), ) #movie_cast (movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(gender_id) REFERENCES gender(gender_id)) #movie_company (movie_id integer, company_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(company_id) REFERENCES production_company(company_id)) #movie_crew (movie_id integer, person_id integer, department_id integer, job text, , , FOREIGN KEY(person_id) REFERENCES person(person_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(department_id) REFERENCES department(department_id)) #movie_genres (movie_id integer, genre_id integer, , , FOREIGN KEY(genre_id) REFERENCES genre(genre_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) #movie_keywords (movie_id integer, keyword_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(keyword_id) REFERENCES keyword(keyword_id)) #movie_languages (movie_id integer, language_id integer, language_role_id integer, , , FOREIGN KEY(movie_id) REFERENCES movie(movie_id), FOREIGN KEY(language_role_id) REFERENCES language_role(role_id), FOREIGN KEY(language_id) REFERENCES language(language_id)) #person (person_id integer, person_name text, , PRIMARY KEY(person_id), ) #production_company (company_id integer, company_name text, , PRIMARY KEY(company_id), ) #production_country (movie_id integer, country_id integer, , , FOREIGN KEY(country_id) REFERENCES country(country_id), FOREIGN KEY(movie_id) REFERENCES movie(movie_id)) # Give the genre and popularity of movies whose revenue is at least 120,000,000 between 2012 and 2015.