Query: top N films by rental_count in last 30 days.
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 ?;
Parameters: limit (default 20), days window (default 30).
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Title: The Global Grid Target: Lifestyle & Entertainment Concept: A high-energy, cinematic commercial spot positioning the "Sakila" experience as the ultimate integration of leisure, culture, and connection.
Headline: Don't Just Watch. Be There. Visual: A split image. Query: top N films by rental_count in last 30 days
Sakila bridges the gap between the stories you love and the life you lead. Experience full-spectrum entertainment—from exclusive screenings to immersive festivals. Welcome to the target lifestyle.
To find out the peak rental periods, you could analyze the rental table, focusing on the rental_date field. A query might look something like this: Parameters: limit (default 20), days window (default 30)
SELECT
EXTRACT(MONTH FROM rental_date) AS rental_month,
COUNT(*) AS total_rentals
FROM
rental
GROUP BY
rental_month
ORDER BY
total_rentals DESC;
This query groups rentals by month and counts them, helping to identify which months are busiest.