Solved lab

SQL_lab.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 specific columns
+-- 3.1 Titles of all films
+SELECT title
+FROM film;
+
+-- 3.2 List of languages used in films, aliased as language
+SELECT name AS language
+FROM language;
+
+-- 3.3 List of first names of all employees
+SELECT first_name
+FROM staff;
+
+-- 4. Retrieve unique release years
+SELECT DISTINCT release_year
+FROM film;
+
+-- 5. Counting records
+-- 5.1 Number of stores
+SELECT COUNT(*) AS number_of_stores
+FROM store;
+
+-- 5.2 Number of employees
+SELECT COUNT(*) AS number_of_employees
+FROM staff;
+
+-- 5.3 How many films are available for rent and how many have been rented
+SELECT COUNT(DISTINCT inventory_id) AS films_available_for_rent
+FROM inventory;
+
+SELECT COUNT(DISTINCT inventory_id) AS films_rented
+FROM rental;
+
+-- 5.4 Number of distinct actor last names
+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. Filtering
+-- 7.1 All actors with the first name 'SCARLETT'
+SELECT *
+FROM actor
+WHERE first_name = 'SCARLETT';
+
+-- 7.2 BONUS: Movies with ARMAGEDDON in the title and duration longer than 100 minutes
+SELECT *
+FROM film
+WHERE title LIKE '%ARMAGEDDON%'
+  AND length > 100;
+
+-- 7.3 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%';