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72 changes: 72 additions & 0 deletions sakila-queries.sql
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-- Selecting the database that is going to be used
USE sakila;

-- 1. Display all available tables in the Sakila database.
SHOW TABLES;

-- 2. Retrieve all the data from the tables actor, film and customer.
SELECT * FROM actor;

SELECT * FROM film;

SELECT * FROM customer;

-- 3. Retrieve the following columns from their respective tables:
-- 3.1 Titles of all films from the film table
SELECT title
FROM film;

-- 3.2 List of languages used in films, with the column aliased as language from the language table
SELECT name AS language
FROM language;

-- 3.3 List of first names of all employees from the staff table
SELECT first_name
FROM staff;

-- 4. Retrieve unique release years.
SELECT DISTINCT release_year
FROM film;

-- 5. Counting records for database insights:
-- 5.1 Determine the number of stores that the company has.
SELECT COUNT(*) AS number_of_stores
FROM store;

-- 5.2 Determine the number of employees that the company has.
SELECT COUNT(*) AS number_of_employees
FROM staff;

-- 5.3 Determine how many films are available for rent and how many have been rented.
SELECT COUNT(DISTINCT film_id)
FROM inventory;

SELECT COUNT(DISTINCT inventory_id)
FROM rental;

-- 5.4 Determine the number of distinct last names of the actors in the database.
SELECT COUNT(DISTINCT last_name)
FROM actor;

-- 6. Retrieve the 10 longest films.
SELECT *
FROM film
ORDER BY length DESC
LIMIT 10;

-- 7. Use filtering techniques in order to:
-- 7.1 Retrieve all actors with the first name "SCARLETT".
SELECT *
FROM actor
WHERE first_name = 'scarlett'

-- 7.2 Retrieve all movies that have ARMAGEDDON in their title and have a duration longer than 100 minutes.
-- Hint: use LIKE operator. More information here.
SELECT *
FROM film
WHERE length > 100 AND title LIKE '%armageddon%'

-- 7.3 Determine the number of films that include Behind the Scenes content
SELECT *
FROM film
WHERE special_features LIKE '%behind the scenes%'