lab sql joins July

lab-sql-joins.sql

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+USE sakila;
+## Challenge - Joining on multiple tables
+## Write SQL queries to perform the following tasks using the Sakila database:
+
+## 1.List the number of films per category.
+
+SELECT c.name AS category_name, COUNT(f.film_id) AS film_count
+FROM category c
+JOIN film_category fc ON c.category_id = fc.category_id
+JOIN film f ON fc.film_id = f.film_id
+GROUP BY c.name
+ORDER BY film_count DESC;
+
+## 2. Retrieve the store ID, city, and country for each store.
+
+SELECT s.store_id, ci.city, co.country
+FROM store s
+JOIN address a ON s.address_id = a.address_id
+JOIN city ci ON a.city_id = ci.city_id
+JOIN country co ON ci.country_id = co.country_id;
+
+## 3 Calculate the total revenue generated by each store in dollars.
+
+SELECT s.store_id, MAX(p.amount) AS total_revenue
+FROM store s
+JOIN payment p ON  s.store_id = payment_id
+GROUP BY store_id;
+
+## 4 Determine the average running time of films for each category.
+
+SELECT c.name, AVG(f.length) AS average_time
+FROM category c
+JOIN film f ON c.category_id = film_id
+GROUP BY c.name;
+
+## Bonus:
+## 5. Identify the film categories with the longest average running time.
+
+SELECT c.name, AVG(f.length) AS avg_length
+FROM category c 
+JOIN film f ON category_id = film_id
+GROUP BY c.name
+ORDER BY name DESC;
+
+## 6. Display the top 10 most frequently rented movies in descending order.
+
+SELECT f.title, COUNT(r.rental_id) AS frecuency_rental
+FROM film f
+JOIN rental r ON film_id = rental_id
+GROUP BY f.title
+ORDER BY  DESC
+LIMIT 10;
+
+