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53 changes: 53 additions & 0 deletions lab-sql-basic-queries.sql
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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(*) FROM store;

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

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

SELECT COUNT(*) AS rented 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 title, length FROM film ORDER BY length DESC, title ASC 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';

-- BONUS:
-- 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 title LIKE '%ARMAGEDDON%' AND length > 100;

-- 7.3 Determine the number of films that include Behind the Scenes content
SELECT COUNT(*) AS films_with_behind_the_scenes
FROM film WHERE special_features LIKE '%Behind the Scenes%';