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SQLize.online is a free online SQL environment for quickly running, experimenting with and sharing code.
You can run your SQL code on top of the most popular RDBMS including MySQL, MariaDB, SQLite, PostgreSQL, Oracle and Microsoft SQL Server.
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WITH category_data AS ( SELECT c.name AS category, COUNT(f.film_id) AS total_films, SUM(p.amount) AS total_revenue FROM category c JOIN film_category fc ON c.category_id = fc.category_id JOIN film f ON fc.film_id = f.film_id LEFT JOIN inventory i ON f.film_id = i.film_id LEFT JOIN rental r ON i.inventory_id = r.inventory_id LEFT JOIN payment p ON r.rental_id = p.rental_id GROUP BY c.name -- Изменено с c.category_id на c.name ), overall_counts AS ( SELECT SUM(total_films) AS grand_total_films, SUM(total_revenue) AS grand_total_revenue FROM category_data ) SELECT cd.category, ROUND(cd.total_revenue / oc.grand_total_revenue, 6) AS relative_rental_amount, ROUND(cd.total_films / oc.grand_total_films, 6) AS relative_rentals_count FROM category_data cd CROSS JOIN overall_counts oc ORDER BY relative_rental_amount DESC;
SQL
Server:
MariaDB 11.4
MariaDB 11.5
MariaDB 10
MariaDB 10 Sakila (ReadOnly)
MySQL 5.7
MySQL 5.7 Sakila (ReadOnly)
MySQL 8.0
MySQL 8.0 Sakila (ReadOnly)
SQLite 3
SQLite 3 Preloaded
PostgreSQL 10 Bookings (ReadOnly)
PostgreSQL 11
PostgreSQL 12
PostgreSQL 13
PostgreSQL 14
PostgreSQL 15
MS SQL Server 2017
MS SQL Server 2019
MS SQL Server 2022
MS SQL Server 2022 AdventureWorks (ReadOnly)
Firebird 4.0
Firebird 4.0 (Employee)
Oracle Database 19c (HR)
Oracle Database 21c
Oracle Database 23c Free
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