solved lab

sakila-lab.sql

@@ -0,0 +1,102 @@
+USE sakila;
+SHOW TABLES;
+
+SELECT *
+FROM actor;
+
+SELECT *
+FROM film;
+
+SELECT *
+FROM customer;
+
+SELECT
+title
+FROM film;
+
+SELECT *
+FROM language;
+
+SELECT
+language_id
+FROM film;
+
+SELECT DISTINCT
+language_id
+FROM film;
+
+SELECT *
+FROM staff;
+
+SELECT
+first_name,
+last_name
+FROM staff;
+
+SELECT DISTINCT
+release_year
+FROM film;
+
+SELECT *
+FROM store;
+
+SELECT
+store_id,
+COUNT(store_id) AS total_stores
+FROM store
+GROUP BY
+store_id;
+
+SELECT
+COUNT(staff_id) AS total_staff
+FROM staff;
+
+
+SELECT *
+FROM rental;
+
+SELECT *
+FROM inventory;
+
+SELECT
+COUNT(inventory_id) AS total_available_movies
+FROM inventory;
+
+SELECT
+COUNT(DISTINCT inventory_id) AS total_rented
+FROM rental;
+
+
+SELECT
+COUNT(DISTINCT last_name) AS total_last_names
+FROM actor;
+
+SELECT
+title,
+length
+FROM film
+ORDER BY length DESC
+LIMIT 10;
+
+SELECT *
+FROM actor; 
+
+SELECT
+actor_id,
+first_name
+FROM actor
+WHERE first_name LIKE '%SCARLETT%';
+
+
+SELECT
+title,
+length
+FROM film
+WHERE title LIKE '%ARMAGEDDON%' AND length > 100;
+
+SELECT
+title,
+special_features
+FROM film
+WHERE special_features LIKE '%Behind the Scenes%';
+