From b7c8cb7ea1381de4828c640242dc5d1a3a6f481b Mon Sep 17 00:00:00 2001
From: PaulaSotoG <sotopaula01@gmail.com>
Date: Mon, 9 Dec 2024 16:31:28 +0100
Subject: [PATCH] Results

---
 lab-sql-joins.sql | 88 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100644 lab-sql-joins.sql

diff --git a/lab-sql-joins.sql b/lab-sql-joins.sql
new file mode 100644
index 0000000..81d0a7a
--- /dev/null
+++ b/lab-sql-joins.sql
@@ -0,0 +1,88 @@
+
+USE sakila;
+
+-- Write SQL queries to perform the following tasks using the Sakila database:
+-- List the number of films per category.
+
+SELECT c.name AS category_name, COUNT(f.film_id) AS film_count
+FROM sakila.category AS c
+JOIN sakila.film_category AS fc ON c.category_id = fc.category_id
+JOIN sakila.film AS f ON fc.film_id = f.film_id
+GROUP BY c.name
+ORDER BY film_count DESC;
+
+-- Retrieve the store ID, city, and country for each store.
+
+SELECT s.store_id, ci.city, co.country
+FROM sakila.store AS s
+JOIN sakila.address AS a ON s.address_id = a.address_id
+JOIN sakila.city AS ci ON a.city_id = ci.city_id
+JOIN sakila.country AS co ON ci.country_id = co.country_id;
+
+
+-- Calculate the total revenue generated by each store in dollars.
+
+SELECT s.store_id, SUM(p.amount) AS total_revenue
+FROM sakila.payment AS p
+JOIN sakila.customer AS c ON p.customer_id = c.customer_id
+JOIN sakila.store AS s ON c.store_id = s.store_id
+GROUP BY s.store_id;
+
+-- Determine the average running time of films for each category.
+
+SELECT c.name AS category_name, 
+       ROUND(AVG(f.length), 2) AS avg_running_time
+FROM sakila.film AS f
+JOIN sakila.film_category AS fc ON f.film_id = fc.film_id
+JOIN sakila.category AS c ON fc.category_id = c.category_id
+GROUP BY c.name
+ORDER BY avg_running_time DESC;
+
+-- Bonus:
+
+-- Identify the film categories with the longest average running time.
+
+SELECT c.name AS category_name, 
+       ROUND(AVG(f.length), 2) AS avg_running_time
+FROM sakila.film AS f
+JOIN sakila.film_category AS fc ON f.film_id = fc.film_id
+JOIN sakila.category AS c ON fc.category_id = c.category_id
+GROUP BY c.name
+ORDER BY avg_running_time DESC
+LIMIT 1;
+
+-- Display the top 10 most frequently rented movies in descending order.
+
+SELECT f.title, COUNT(r.rental_id) AS rental_count
+FROM sakila.rental AS r
+JOIN sakila.inventory AS i ON r.inventory_id = i.inventory_id
+JOIN sakila.film AS f ON i.film_id = f.film_id
+GROUP BY f.title
+ORDER BY rental_count DESC
+LIMIT 10;
+
+-- Determine if "Academy Dinosaur" can be rented from Store 1.
+
+SELECT i.inventory_id, f.title, i.store_id, 
+       CASE 
+           WHEN r.rental_id IS NULL OR r.return_date IS NOT NULL THEN 'Available'
+           ELSE 'Rented'
+       END AS availability
+FROM sakila.inventory AS i
+JOIN sakila.film AS f ON i.film_id = f.film_id
+LEFT JOIN sakila.rental AS r ON i.inventory_id = r.inventory_id AND r.return_date IS NULL
+WHERE f.title = 'Academy Dinosaur'
+AND i.store_id = 1;
+
+
+-- Provide a list of all distinct film titles, along with their availability status in the inventory. Include a column indicating whether each title is 'Available' or 'NOT available.' Note that there are 42 titles that are not in the inventory, and this information can be obtained using a CASE statement combined with IFNULL."
+
+SELECT f.title, 
+       CASE 
+           WHEN IFNULL(i.inventory_id, 0) = 0 THEN 'NOT available' 
+           ELSE 'Available'
+       END AS availability
+FROM sakila.film AS f
+LEFT JOIN sakila.inventory AS i ON f.film_id = i.film_id
+GROUP BY f.title
+ORDER BY availability DESC, f.title;