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movie_3

List the actors' IDs who have "KILMER" as last name.

SELECT actor_id FROM actor WHERE last_name = 'KILMER'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List down the films titles with the lowest replacement cost under the general audiences rating.

lowest replacement cost refers to Min(replacement_cost); under general audience rating refers to rating = G

SELECT title FROM film WHERE replacement_cost = ( SELECT MIN(replacement_cost) FROM film )

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among the films with the longest duration, list any five title with their descriptions and special features.

longest duration of film refers to Max(length)

SELECT title, description, special_features FROM film WHERE length = ( SELECT MAX(length) FROM film ) LIMIT 5

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many films rented on 26th May, 2005 were returned on 30th May, 2005?

rented on 26th May 2005 refers to rental_date = '2005-05-26'; return on 30th May, 2005 refers to return_date = '2005-05-30'; number of rented film refers to Count (rental_id)

SELECT COUNT(DISTINCT rental_id) FROM rental WHERE date(rental_date) BETWEEN '2005-05-26' AND '2005-05-30'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Calculate the average payment amount per customer.

average payment refers to AVG(amount)

SELECT AVG(amount) FROM payment GROUP BY customer_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the name and email of the staff in store ID 2?

name refers to first_name, last_name

SELECT first_name, last_name, email FROM staff WHERE store_id = 2

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many percent of customers were inactive?

inactive refers to active = 0; percent = Divide (Count (customer_id where active = 0), Count(customer_id)) * 100

SELECT CAST(SUM(IIF(active = 0, 1, 0)) AS REAL) * 100 / COUNT(customer_id) FROM customer

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the description and film title of ID 996?

ID 996 refers to film_id = 996

SELECT description, title FROM film_text WHERE film_id = 996

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Calculate customers' total payment amount in August, 2005.

in August 2005 refers to payment_date like '2005-08%'; total payment amount refers to Sum(amount)

SELECT SUM(amount) FROM payment WHERE SUBSTR(payment_date, 1, 7) = '2005-08'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List down the film titles performed by Emily Dee.

SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Emily' AND T1.last_name = 'Dee'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List down the actors' full names who performed in "CHOCOLATE DUCK" film.

"CHOCOLATE DUCK" is the title of film; full name refers to first_name, last_name

SELECT T3.first_name, T3.last_name FROM film_actor AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN actor AS T3 ON T1.actor_id = T3.actor_id WHERE T2.title = 'CHOCOLATE DUCK'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many films in the horror category were included in PG-13-rated?

"Horror" is the name of category; PG-13 rated refers to rating = 'PG-13'

SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Horror' AND T1.rating = 'PG-13'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Distinguish the films performed by Judy Dean according to category.

films performed refers to film

SELECT T5.name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN film_category AS T4 ON T2.film_id = T4.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id WHERE T1.first_name = 'Judy' AND T1.last_name = 'Dean'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Write down any five film names under the documentary category.

"Documentary" is the name of category; film name refers to title

SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Documentary' LIMIT 5

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Mention the language of Untouchables Sunrise film and calculate its rental cost per day.

"UNTOUCHABLES SUNRISE" is the title of film; language refers to name; rental cost per day = Divide (rental_cost, rental_duration)

SELECT T2.name, T1.replacement_cost / T1.rental_duration AS cost FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'UNTOUCHABLES SUNRISE'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the films' titles which were rented on 24th May,2005.

rented on 24th May 2005 refers to rental_date = '2005-05-24%'

SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id WHERE SUBSTR(T3.rental_date, 1, 10) = '2005-05-24'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the films' titles which were rented by Brian Wyman in July, 2005.

rented in July 2005 refers to year (rental_date) = 2005 and month (rental_date) = 7

SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'BRIAN' AND T1.last_name = 'WYMAN' AND STRFTIME('%Y', T2.rental_date) = '2005' AND STRFTIME('%m',T2.rental_date) = '7'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Write down the inventories' IDs and actors' names of "STREETCAR INTENTIONS".

"STREETCAR INTENTIONS" is the title of film; actor's names refers to first_name, last_name

SELECT T4.inventory_id, T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T2.film_id = T4.film_id WHERE T3.title = 'STREETCAR INTENTIONS'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among the films rented by Natalie Meyer, describe the titles and categories of the films which were rented in February 2006.

category refers to name; rented in February 2006 refers to year(rental_date) = 2006 and month (rental_rate) = 2

SELECT T3.title, T2.name FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id INNER JOIN customer AS T5 ON T4.store_id = T5.store_id INNER JOIN rental AS T6 ON T4.inventory_id = T6.inventory_id WHERE T5.first_name = 'Natalie' AND T5.last_name = 'Meyer' AND STRFTIME('%Y',T3.rental_rate) = '2006' AND STRFTIME('%m',T3.rental_rate) = '2'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many rental IDs belong to Eleanor Hunt?

'Eleanor Hunt' is the full name of a customer; full name refers to first_name, last_name

SELECT COUNT(T1.rental_id) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'Eleanor' AND T2.last_name = 'Hunt'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Describe the full names and cities of the customers who rented "DREAM PICKUP".

full name refers to first_name, last_name; 'DREAM PICKUP' is a title of film

SELECT T4.first_name, T4.last_name, T6.city FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN customer AS T4 ON T3.customer_id = T4.customer_id INNER JOIN address AS T5 ON T4.address_id = T5.address_id INNER JOIN city AS T6 ON T5.city_id = T6.city_id WHERE T1.title = 'DREAM PICKUP'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Calculate how many percent of customers were located in India.

'India' is a country; calculation = DIVIDE(SUM(country = 'India'), COUNT(customer_id)) * 100

SELECT CAST(SUM(IIF(T1.country = 'India', 1, 0)) AS REAL) * 100 / COUNT(T4.customer_id) FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id INNER JOIN customer AS T4 ON T3.address_id = T4.address_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How much percentage of the film did Mary Keitel perform more than Angela Witherspoon?

'Mary Keitel' AND 'Angela Witherspoon' are full name of actors; full name refers to FirstName, LastName; calculation = DIVIDE(SUBTRACT(SUM('Mary Keitel'), SUM('Angela Witherspoon')), SUM('Angela Witherspoon')) * 100

SELECT CAST((SUM(IIF(T1.first_name = 'ANGELA' AND T1.last_name = 'WITHERSPOON', 1, 0)) - SUM(IIF(T1.first_name = 'MARY' AND T1.last_name = 'KEITEL', 1, 0))) AS REAL) * 100 / SUM(IIF(T1.first_name = 'MARY' AND T1.last_name = 'KEITEL', 1, 0)) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Provide the email, address, city, and country of the customer Lillie Kim.

'Lillie Kim' is the full name of a customer; full name refers to first_name, last_name

SELECT T1.email, T2.address, T3.city, T4.country FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T2.city_id = T3.city_id INNER JOIN country AS T4 ON T3.country_id = T4.country_id WHERE T1.first_name = 'Lillie' AND T1.last_name = 'Kim'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Provide any 5 customers' full names who have rented from Mike Hillyer.

full name refers to first_name, last_name; 'Mike Hillyer' is a full name of a staff;

SELECT T3.first_name, T3.last_name FROM staff AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.first_name = 'Mike' AND T1.last_name = 'Hillyer' LIMIT 5

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Calculate the total payment amount by Diane Collins.

'Diane Collins' is a full name of a customer; full name refers to first_name, last_name

SELECT SUM(T2.amount) FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'Diane' AND T1.last_name = 'Collins'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Provide the full names and emails of customers whose payments were greater than 70% of the average.

full name refers to first_name, last_name; average payment refers to AVG(amount); payments were greater than 70% of the average refers to amount > (AVG(amount) MULTIPLY 0.7)

SELECT DISTINCT T2.first_name, T2.last_name, T2.email FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T2.address_id = T3.address_id WHERE T1.amount > ( SELECT AVG(amount) FROM payment ) * 0.7

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many films have a rental rate of 0.99?

SELECT COUNT(film_id) FROM film WHERE rental_rate = 0.99

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among the customers with customer ID of 100 and below, how many of them have Thomas as their last name?

customer ID of 100 and below refers to customer_id < 100

SELECT COUNT(customer_id) FROM customer WHERE last_name = 'Thomas' AND customer_id < 100

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the actor's last name that starred the film with the description of "A Thoughtful Drama of a Composer And a Feminist who must Meet a Secret Agent in The Canadian Rockies".

SELECT T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.description = 'A Thoughtful Drama of a Composer And a Feminist who must Meet a Secret Agent in The Canadian Rockies'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Give the title of the film starred by Liza Bergman with the highest replacement cost.

Liza Bergman' is a full name; full name refers to first_name, last_name; highest replacement cost refers to MAX(replacement_cost)

SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Liza' AND T1.last_name = 'Bergman' ORDER BY replacement_cost DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among films with store ID of 2, list the title of films with the highest rental rate.

highest rental rate refers to MAX(rental_rate)

SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.store_id = 2 ORDER BY rental_rate DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among the films starred by Angelina Astaire, what is the title of the film with a replacement cost of 27.99?

Angelina Astaire' is a full name of an actor; full name refers to first_name, last_name

SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Angelina' AND T1.last_name = 'Astaire' AND T3.replacement_cost = 27.99

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the inventory ID of the film titled "African Egg".

'African Egg' is a title of a film

SELECT T2.inventory_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T1.title = 'African Egg'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

In films with a length duration of 113 minutes, how many of the films are starred by Kirk Jovovich?

length duration of 113 minutes refers to length = 113; 'Kirk Jovovich' is a full name of an actor; full name refers to first_name, last_name

SELECT COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.length = 113 AND T1.first_name = 'Kirk' AND T1.last_name = 'Jovovich'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

In the film with an inventory ID between 20 to 60, how many of the films have a G rating?

G rating refers to rating = 'G'

SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.inventory_id BETWEEN 20 AND 60 AND T1.rating = 'G'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among films with a rental rate of 4.99, what is the total number of films starred by Bob Fawcett?

Bob Fawcett' is a full name of an actor; full name refers to first_name, last_name

SELECT COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.rental_rate = 4.99 AND T1.first_name = 'Bob' AND T1.last_name = 'Fawcett'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the inventory ID of the films starred by Russell Close with a duration between 110 to 150 minutes?

'Russell Close' is a full name of an actor; full name refers to first_name, last_name; duration between 110 to 150 minutes refers to length BETWEEN 110 AND 150

SELECT T4.inventory_id FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id WHERE T3.length BETWEEN 110 AND 150 AND T1.first_name = 'Russell' AND T1.last_name = 'Close'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the store and inventory ID of the film with the longest duration?

the longest duration refers to MAX(length)

SELECT T2.store_id, T2.inventory_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id ORDER BY T1.length DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the titles of the films starred by Elvis Marx.

'Elvis Marx' is a full name of a film; full name refers to first_name, last_name

SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.length BETWEEN 110 AND 150 AND T1.first_name = 'Russell' AND T1.last_name = 'Close'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

In films with rental rate of 4.99, list down the inventory ID of the films starred by Lucille Dee.

'Lucille Dee' is a full name of an actor; full name refers to first_name, last_name

SELECT T4.inventory_id FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'Lucille' AND T1.last_name = 'Dee' AND T3.rental_rate = 4.99

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the store ID of the films with a rental rate greater than the 60% of average rental rate of all listed films.

average rental rate of all listed films refers to AVG(rental_rate); rental rate greater than the 60% of average rental rate refers to rental_rate > (AVG(rental_rate)) MULTIPLY 0.6

SELECT T2.store_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T1.rental_rate > ( SELECT AVG(T1.rental_rate) * 0.6 FROM film AS T1 )

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among the films starred by Nick Wahlberg, what is the percentage of the films with G rating?

'Nick Wahlberg' is a full name of an actor; full name refers to first_name, last_name; G rating refers to rating = 'G'; calculation = DIVIDE(SUM(rating = 'G'), SUM(rating)) * 100

SELECT CAST(SUM(IIF(T3.rating = 'G', 1, 0)) AS REAL) / COUNT(T3.film_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Elvis' AND T1.last_name = 'Marx'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

List the address in Texas in the ascending order of city id.

'Texas' is a district

SELECT address FROM address WHERE district = 'Texas' AND city_id = ( SELECT MIN(city_id) FROM address WHERE district = 'Texas' )

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Find the full name and email address of inactive customers whose record was created in 2006.

full name refers to first_name, last_name; record created in 2006 refers to create_date = 2006; inactive customers refers to active = 0

SELECT first_name, last_name, email FROM customer WHERE STRFTIME('%Y',create_date) = '2006' AND active = 0

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What percentage of the movies are PG-13?

PG-13 is a rating; calculation = DIVIDE(SUM(rating = PG-13), SUM(rating)) * 100

SELECT CAST(SUM(IIF(rating = 'PG-13', 1, 0)) AS REAL) * 100 / COUNT(film_id) FROM film

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Please list the top ten movies with the most price per day in descending order of price per day.

movies with the most price per day refers to MAX(rental_rate)

SELECT title FROM film ORDER BY rental_rate / rental_duration DESC LIMIT 10

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Calculate the average rent amount paid by the customer with customer id 15.

average rent amount refers to AVG(amount)

SELECT AVG(amount) FROM payment WHERE customer_id = 15

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many customers rented for an above-average period?

rented period refers to SUBTRACT(return_date, rental_date); calculation = rented period > (AVG(rented period))

SELECT COUNT(customer_id) FROM rental WHERE return_date - rental_date > ( SELECT AVG(return_date - rental_date) FROM rental )

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Among the movies, what percentage are horror?

horror is a name of film category; calculation = DIVIDE(COUNT('horror'), COUNT(category_id)) * 100

SELECT CAST(SUM(IIF(T2.name = 'horror', 1, 0)) AS REAL) * 100 / COUNT(T2.category_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Give the full name of the actor who acted in the most number of movies?

full name refers to first_name, last_name; acted in the most number of movies refers to MAX(COUNT(film_id))

SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, COUNT(T1.film_id) AS num FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.first_name, T2.last_name ) AS T ORDER BY T.num DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Give the full name of the actor who acted the most in drama movies?

full name refers to first_name, last_name; drama is a category of a film; acted the most in a movies refers to MAX(COUNT(film_id))

SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T2.film_id) AS num FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film_category AS T3 ON T2.film_id = T3.film_id WHERE T3.category_id = 7 GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the difference in the average number of films rented each day in Australia and Canada?

'Australia' AND 'Canada' are country; average number of films refers to AVG('Australia') AND AVG('Canada'); calculation = SUBTRACT(AVG('Australia'), AVG('Canada'))

SELECT AVG(IIF(T4.country = 'Australia', 1, 0)) - AVG(IIF(T4.country = 'Canada', 1, 0)) AS diff FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T2.city_id = T3.city_id INNER JOIN country AS T4 ON T3.country_id = T4.country_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Of the movies in which Reese Kilmer acted, what percentage are action movies?

'Reese Kilmer' is a full name of an actor; 'action' is the name of the category; calculation = DIVIDE(COUNT('action'), COUNT(category_id)) * 100

SELECT CAST(SUM(IIF(T4.name = 'Action', 1, 0)) AS REAL) * 100 / COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film_category AS T3 ON T2.film_id = T3.film_id INNER JOIN category AS T4 ON T3.category_id = T4.category_id WHERE T1.first_name = 'Reese' AND T1.last_name = 'Kilmer'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Give the total amount of rent for the movie Clockwork Paradice.

'Clockwork Paradice' is a title of a film

SELECT SUM(T1.amount) FROM payment AS T1 INNER JOIN rental AS T2 ON T1.rental_id = T2.rental_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T4.title = 'CLOCKWORK PARADICE'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Find and list the full name of customers who rented more than five types of movies.

full name refers to first_name, last_name; types of movies means category of movies; rented more than five types of movies refers to COUNT(film_category) > 5

SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T1.customer_id) AS num FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id INNER JOIN film_category AS T5 ON T4.film_id = T5.film_id GROUP BY T1.first_name, T1.last_name ) AS T WHERE T.num > 5

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the average number of actors acted in comedy movies?

comedy is the name of a category; average number of actors refers to AVG(actor_id)

SELECT AVG(T1.actor_id) FROM film_actor AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id INNER JOIN actor AS T4 ON T4.actor_id = T1.actor_id WHERE T3.name = 'comedy'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

In children's movies, which was rented the most?

children is the name of the category; rented the most refers to MAX(COUNT(title))

SELECT T.title FROM ( SELECT T4.title, COUNT(T4.title) AS num FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id INNER JOIN film_category AS T5 ON T4.film_id = T5.film_id INNER JOIN category AS T6 ON T5.category_id = T6.category_id WHERE T6.name = 'Children' GROUP BY T4.title ) AS T ORDER BY T.num DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Calculate the percentage of customers who paid more than the average rent amount in store 1.

store 1 refers to store_id = 1; average rent amount refers to AVG(amount); calculation = DIVIDE(amount > AVG(amount), COUNT(customer_id)) * 100

SELECT CAST(( SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id WHERE T2.amount > ( SELECT AVG(amount) FROM payment ) ) AS REAL) * 100 / ( SELECT COUNT(customer_id) FROM customer )

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Find and list the full name of customers who rented more family movies than Sci-Fi movies.

full name refers to first_name, last_name; 'family' AND 'Sci-Fi' are names of the category; customers who rented more family movies than Sci-Fi movies refers to count(name = 'Family') > count(name = 'Sci-Fi')

SELECT DISTINCT IIF(SUM(IIF(T5.name = 'Family', 1, 0)) - SUM(IIF(T5.name = 'Sci-Fi', 1, 0)) > 0, T1.first_name, 0) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film_category AS T4 ON T4.film_id = T3.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id GROUP BY T1.customer_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Indicate the title of all the films rated as 'Adults Only'.

'Adults Only' refers to rating = 'NC-17'

SELECT title FROM film WHERE rating = 'NC-17'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many actors with the surname Kilmer are there?

surname means last_name;

SELECT COUNT(actor_id) FROM actor WHERE last_name = 'Kilmer'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many movies have a length longer than 100?

length longer than 100 refers to length > 100

SELECT COUNT(film_id) FROM film WHERE length > 100

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many payments were made throughout the month of August 2005?

payments made refers to amount; throughout the month of August 2005 refers to payment_date like '2005-08%'

SELECT SUM(amount) FROM payment WHERE payment_date LIKE '2005-08%'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

To which country does the address '1386 Nakhon Sawan Boulevard' belong?

SELECT T1.country FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id WHERE T3.address = '1386 Nakhon Sawan Boulevard'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What language was the most used in movies released in 2006?

released in 2006 refers to release_year = 2006; the most used language refers to MAX(COUNT(language_id))

SELECT T.language_id FROM ( SELECT T1.language_id, COUNT(T1.language_id) AS num FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE STRFTIME('%Y',T1.release_year) = '2006' GROUP BY T1.language_id ) AS T ORDER BY T.num DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Indicate the title of all the films that are in the Classics category.

'classics' is the name of category

SELECT T2.title FROM film_category AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id WHERE T3.name = 'Classics'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many rentals did Ella Oliver hire in June 2016?

'Ella Oliver' is a full name of a customer; full name refers to first_name, last_name; rental hired in June 2016 refers to rental_date BETWEEN '2005-06-01' AND '2005-06-30'

SELECT COUNT(T1.rental_id) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'ELLA' AND T2.last_name = 'ELLA' AND date(T1.rental_date) BETWEEN '2005-06-01' AND '2005-06-30'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many different clients have rented materials from Jon Stephens?

'Jon Stephens' is a full name of a customer; full name refers to first_name, last_name;

SELECT COUNT(T1.customer_id) FROM rental AS T1 INNER JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Jon' AND T2.last_name = 'Stephens'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the total amount paid for rentals made on July 29, 2005?

July 29, 2005 refers to rental_date like '2005-07-29'

SELECT SUM(T2.amount) FROM rental AS T1 INNER JOIN payment AS T2 ON T1.rental_id = T2.rental_id WHERE date(T1.rental_date) = '2005-07-29%'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the first name of the customers whose address is in the postal code that begins with 76?

postal code that begins with 76 refers to postal_code like '76%'

SELECT T1.first_name FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE SUBSTR(T2.postal_code, 1, 2) = '76'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

On what date was the rented material for the movie BLOOD ARGONAUTS returned?

'BLOOD ARGONAUTS' is a title of a film; date a movie was returned refers to return_date

SELECT T1.rental_date FROM rental AS T1 INNER JOIN inventory AS T2 ON T1.inventory_id = T2.inventory_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'BLOOD ARGONAUTS'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the title of the films in which Cuba Allen acted?

'Cuba Allen' is a full name of an actor; full name refers to first_name, last_name

SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Cuba' AND T1.last_name = 'Allen'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many actors acted in movies in the Music category?

Music' is a name of a category

SELECT COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN film_category AS T4 ON T3.film_id = T4.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id WHERE T5.name = 'Music'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the full name of the actor who has acted the most times in comedy films?

full name refers to first_name, last_name; 'comedy' is a name of a category;

SELECT T.first_name, T.last_name FROM ( SELECT T4.first_name, T4.last_name, COUNT(T2.actor_id) AS num FROM film_category AS T1 INNER JOIN film_actor AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id INNER JOIN actor AS T4 ON T2.actor_id = T4.actor_id WHERE T3.name = 'Comedy' GROUP BY T4.first_name, T4.last_name ) AS T ORDER BY T.num DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many customers did not rent material at Mike's store?

not at Mike's store refers to staff.first_name ! = 'Mike'

SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN staff AS T3 ON T2.manager_staff_id = T3.staff_id WHERE T3.first_name != 'Mike'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Indicate the name of the actors of the films rated as 'Parents Strongly Precautioned' with the highest replacement cost.

name refers to first_name, last_name; Parents Strongly Precautioned' refers to rating = 'PG-13'; highest replacement cost refers to MAX(replacement_cost)

SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.rating = 'PG-13' ORDER BY T3.replacement_cost DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the name of the client who has the largest quantity of rented material without returning it?

name refers to first_name, last_name; without returning a rented material refers to return_date is null

SELECT T.first_name FROM ( SELECT T2.first_name, COUNT(T1.rental_date) AS num FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.first_name ) AS T ORDER BY T.num DESC LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many customers live in the city of Miyakonojo?

SELECT COUNT(T3.customer_id) FROM city AS T1 INNER JOIN address AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.city = 'Miyakonojo'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many non-active clients have not returned the rented material?

non-active clients refers to active = 0; not returning a rented material refers to rental_date is null

SELECT COUNT(T2.customer_id) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.active = 0

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the title of the animated films that have the shortest length?

animated film means animation; animation is a name of a category

SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id ORDER BY T1.length LIMIT 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

In which country is the store where Hector Poinexter rents equipment located?

'Hector Poinexter' is a full name of a customer; full name refers to first_name, last_name;

SELECT T5.country FROM customer AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN address AS T3 ON T2.address_id = T3.address_id INNER JOIN city AS T4 ON T3.city_id = T4.city_id INNER JOIN country AS T5 ON T4.country_id = T5.country_id WHERE T1.first_name = 'HECTOR' AND T1.last_name = 'POINDEXTER'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the average rental payment in Horror movies?

'Horror' is a name of a category; average rental payment refers to AVG(amount)

SELECT AVG(T5.amount) FROM category AS T1 INNER JOIN film_category AS T2 ON T1.category_id = T2.category_id INNER JOIN inventory AS T3 ON T2.film_id = T3.film_id INNER JOIN rental AS T4 ON T3.inventory_id = T4.inventory_id INNER JOIN payment AS T5 ON T4.rental_id = T5.rental_id WHERE T1.name = 'Horror'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the average amount of rent that Christy Vargas paid?

'Christy Vargas' is a full name of a customer; full name refers to first_name, last_name; average amount of rent refers to AVG(amount)

SELECT AVG(T2.amount) FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'CHRISTY' AND T1.Last_name = 'VARGAS'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What percentage of films with a length of less than 100 belong to the Drama category?

Drama' is a name of a category; calculation = DIVIDE(SUM(length < 100 AND name = 'Drama'), COUNT(film_id)) * 100

SELECT CAST(SUM(IIF(T2.length < 100 AND T3.name = 'Drama', 1, 0)) AS REAL) * 100 / COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What are the actors that have the same forename as Johnny? Please include in your answer the full names of these actors.

forename means first_name; full name refers to first_name, last_name

SELECT first_name, last_name FROM actor WHERE first_name = 'Johnny'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What are the address numbers that are located in Gansu district?

address numbers refers to address_id;

SELECT address_id FROM address WHERE district = 'Gansu'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Please list three types of film along with their IDs and the latest update.

types of film refers to the name of a category; IDs refers to category_id; latest update refers to last_update.

SELECT DISTINCT name, category_id, last_update FROM category LIMIT 3

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Please list the full names of any three inactive customers.

full name refers to first_name, last_name; inactive customers refers to active = 0

SELECT first_name, last_name FROM customer WHERE active = 0 LIMIT 3

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the rental price per day for Airplane Sierra?

rental price per day refers to DIVIDE(rental_price, rental_duration); 'Airplane Sierra' is a title of a film

SELECT rental_rate / rental_duration AS result FROM film WHERE title = 'AIRPLANE SIERRA'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Where is store number 2 located?

store number 2 refers to store_id = 2; where is a store located refers to address, address2, district

SELECT T1.address, T1.address2, T1.district FROM address AS T1 INNER JOIN store AS T2 ON T1.address_id = T2.address_id WHERE T2.store_id = 2

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Which city does the address 1623 Kingstown Drive belong to?

SELECT T1.city FROM city AS T1 INNER JOIN address AS T2 ON T2.city_id = T1.city_id WHERE T2.address = '1623 Kingstown Drive'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Please name three cities that belong to Algeria.

Algeria is a country

SELECT T2.city FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id WHERE T1.country = 'Algeria'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the category of the film Agent Truman?

'Agent Truman' is a title of a film; category refers to name

SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.title = 'AGENT TRUMAN'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Please list the titles of any three action films.

action is a name of category

SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Action' LIMIT 3

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

What is the difference between the number of children's films and action films?

'children' AND 'action' are names of a category; Calculation = SUBTRACT(AVG('children'), AVG('action'))

SELECT SUM(IIF(T2.name = 'Children', 1, 0)) - SUM(IIF(T2.name = 'Action', 1, 0)) AS diff FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Which district does Maria Miller live in?

'Maria Miller' is a name of a customer; full name refers to first_name, last_name

SELECT T2.district FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Maria' AND T1.last_name = 'Miller'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Who is the customer that is active and lives at 1795 Santiago de Compostela Way, Texas?

active refers to active = 1; '1795 Santiago de Compostela Way' is an address; Texas is a district; who refers to first_name, last_name

SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T2.address = '1795 Santiago de Compostela Way' AND T1.active = 1

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

How many English films have a duration of over 50 minutes and the cost of replacement are under 10.99?

English is a name of a language; duration of over 50 minutes refers to length > 50; cost of replacement are under 10.99 refers to replacement_cost < 10.99

SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.name = 'English' AND T1.length > 50 AND T1.replacement_cost < 10.99

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,

movie_3

Who are the actors that act in the ACADEMY DINOSAUR film?

Who are the actors refers to full name; full name refers to first_name, last_name; 'ACADEMY DINOSAUR' is a title of a film

SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'ACADEMY DINOSAUR'

database name:db_id movie_3 film_text table film_text Cols: film id dtype integer, title dtype text, description dtype text, actor table actor Cols: actor id dtype integer, first name dtype text, last name dtype text, last update dtype datetime, address table address Cols: address id dtype integer, address dtype text, address 2 dtype text, district dtype text, city_id dtype integer, postal code dtype text, phone dtype text, last update dtype datetime, category table category Cols: category id dtype integer, name dtype text, last update dtype datetime, city table city Cols: city id dtype integer, city dtype text, country id dtype integer, last update dtype datetime, country table country Cols: country id dtype integer, the name of the country dtype text, last update dtype datetime, customer table customer Cols: country id dtype integer, store id dtype integer, first name dtype text, last name dtype text, email dtype text, address id dtype integer, active dtype integer, create date dtype datetime, last update dtype datetime, film table film Cols: film id dtype integer, title dtype text, description dtype text, release year dtype text, language id dtype integer, original language id dtype integer, rental duration dtype integer, rental rate dtype real, length dtype integer, replacement cost dtype real, rating dtype text, special features dtype text, last update dtype datetime, film_actor table film_actor Cols: actor id dtype integer, film id dtype integer, last update dtype datetime, film_category table film_category Cols: film id dtype integer, category id dtype integer, last update dtype datetime, inventory table inventory Cols: inventory id dtype integer, film id dtype integer, store id dtype integer, last update dtype datetime, language table language Cols: language id dtype integer, name dtype text, last update dtype datetime, payment table payment Cols: payment id dtype integer, customer id dtype integer, staff id dtype integer, rental id dtype integer, amount dtype real, payment date dtype datetime, last update dtype datetime, rental table rental Cols: rental id dtype integer, rental date dtype datetime, inventory id dtype integer, customer id dtype integer, return date dtype datetime, staff id dtype integer, last update dtype datetime, staff table staff Cols: staff id dtype integer, first name dtype text, last name dtype text, address id dtype integer, picture of the staff dtype blob, email of the staff dtype text, store id dtype integer, active dtype integer, username dtype text, password dtype text, last update dtype datetime, store table store Cols: store id dtype integer, manager staff id dtype integer, address id dtype integer, last update dtype datetime,