lab-sql-basic-queries.sql

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(*) AS films_available_for_rent FROM inventory;
SELECT COUNT(*) AS films_rented FROM rental;

-- 5.4 Determine the number of distinct last names of the actors in the database.

SELECT COUNT(DISTINCT last_name) AS distinct_actor_last_names FROM actor;

-- 6. Retrieve the 10 longest films.

SELECT title, length 
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 actor_id, first_name, last_name
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.

SELECT title, length
FROM film
WHERE title LIKE '%ARMAGEDON%'
AND length > 100;

-- 7.3 Determine the number of films that include Behind the Scenes content

SELECT COUNT(*) AS films_with_behind_scenes
FROM film
WHERE special_features LIKE '%Behind the Scenes%';