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45 changes: 45 additions & 0 deletions Lab_SQL_basic_queries.sql
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USE sakila;
-- Display all tables:
SHOW TABLES;
-- Retrieve all the data from the tables actor, film and customer
SELECT * FROM actor;
SELECT * FROM film;
SELECT * FROM customer;
-- Retrieve the following columns from their respective tables
-- 3.1 Titles of all films from the film table
-- 3.2 List of languages used in films, with the column aliased as language from the language table
-- 3.3 List of first names of all employees from the staff table
SELECT title FROM film;
SELECT name AS language FROM language;
SELECT first_name FROM staff;
-- Retrieve unique release years
SELECT DISTINCT release_year FROM film;
-- Counting records for database insights:
-- 5.1 Determine the number of stores that the company has.
-- 5.2 Determine the number of employees that the company has.
-- 5.3 Determine how many films are available for rent and how many have been rented.
-- 5.4 Determine the number of distinct last names of the actors in the database.
SELECT COUNT(DISTINCT store_id) FROM store;
SELECT COUNT(DISTINCT staff_id) FROM staff;
SELECT COUNT(DISTINCT film_id) FROM inventory;
SELECT COUNT(DISTINCT inventory.film_id)
FROM rental
JOIN inventory
ON rental.inventory_id = inventory.inventory_id;
SELECT COUNT(DISTINCT last_name) FROM actor;
-- Retrieve the 10 longest films
SELECT title, length FROM film
ORDER BY length DESC LIMIT 10;
-- Use filtering techniques in order to:
-- 7.1 Retrieve all actors with the first name "SCARLETT".
SELECT first_name, last_name 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.
-- 7.3 Determine the number of films that include Behind the Scenes content
SELECT title, length FROM film
WHERE title LIKE "%ARMAGEDDON%" AND length > 100;
SELECT COUNT(title) FROM film
WHERE special_features LIKE "%Behind the Scenes%";