SELECT f.film_id, f.title, f.description, f.release_year, f.rating, f.length, COALESCE(count(r.rental_id),0) AS rental_count, MIN(i.store_id) AS store_id, GROUP_CONCAT(DISTINCT c.name) AS categories FROM film f LEFT JOIN film_category fc ON f.film_id = fc.film_id LEFT JOIN category c ON fc.category_id = c.category_id LEFT JOIN inventory i ON f.film_id = i.film_id LEFT JOIN rental r ON i.inventory_id = r.inventory_id AND r.rental_date >= (NOW() - INTERVAL 30 DAY) GROUP BY f.film_id ORDER BY rental_count DESC LIMIT ?;
Rent flow:
I'm assuming you're referring to the Sakila database, which is a sample database used for testing and training purposes. It's a popular database used in various applications, including MySQL. sakila hot sences target full
: A successful film later referenced in a Netflix promotional sketch. A Note on "Shakila" (The Golden Era Actress) SELECT f
" (Movie): Released around 2013, this film is often categorized as a romantic thriller or adult drama. It features alongside actors like Swetha Shaini and Sridevi. A Note on "Shakila" (The Golden Era Actress)
By analyzing this data, businesses can identify their most loyal customers and offer them targeted promotions and discounts.
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SELECT f.film_id, f.title, f.description, f.release_year, f.rating, f.length, COALESCE(count(r.rental_id),0) AS rental_count, MIN(i.store_id) AS store_id, GROUP_CONCAT(DISTINCT c.name) AS categories FROM film f LEFT JOIN film_category fc ON f.film_id = fc.film_id LEFT JOIN category c ON fc.category_id = c.category_id LEFT JOIN inventory i ON f.film_id = i.film_id LEFT JOIN rental r ON i.inventory_id = r.inventory_id AND r.rental_date >= (NOW() - INTERVAL 30 DAY) GROUP BY f.film_id ORDER BY rental_count DESC LIMIT ?;
Rent flow:
I'm assuming you're referring to the Sakila database, which is a sample database used for testing and training purposes. It's a popular database used in various applications, including MySQL.
: A successful film later referenced in a Netflix promotional sketch. A Note on "Shakila" (The Golden Era Actress)
" (Movie): Released around 2013, this film is often categorized as a romantic thriller or adult drama. It features alongside actors like Swetha Shaini and Sridevi.
By analyzing this data, businesses can identify their most loyal customers and offer them targeted promotions and discounts.