SQLPad
Instruction
- Write a query to return the
film_idandtitleof the top 2 movies that were rented the most times in June 2020 - Use the
rental_tscolumn from therentalfor the transaction time. - The order of your results doesn't matter.
Table 1: film
col_name | col_type
----------------------+--------------------------
film_id | integer
title | text
description | text
release_year | integer
language_id | smallint
original_language_id | smallint
rental_duration | smallint
rental_rate | numeric
length | smallint
replacement_cost | numeric
rating | text
Table 2: inventory
Each row is unique, inventoy_id is the primary key of this table.
col_name | col_type --------------+-------------------------- inventory_id | integer film_id | smallint store_id | smallint
Table 3: rental
col_name | col_type --------------+-------------------------- rental_id | integer rental_ts | timestamp with time zone inventory_id | integer customer_id | smallint return_ts | timestamp with time zone staff_id | smallint
Sample results
film_id | title ---------+-------------------- 12345 | MOVIE TITLE 1 12346 | MOVIE TITLE 2
Expected results
Solution postgres
SELECT
F.film_id,
MAX(F.title) AS title
FROM rental R
INNER JOIN inventory I
ON I.inventory_id = R.inventory_id
INNER JOIN film F
ON F.film_id = I.film_id
WHERE DATE(rental_ts) >= '2020-06-01'
AND DATE(rental_ts) <= '2020-06-30'
GROUP BY F.film_id
ORDER BY COUNT(*) DESC
LIMIT 2;
Explanation
This query selects the top 2 most rented films in June 2020 by joining data from the rental, inventory, and film tables. It starts by selecting the film_id and title columns from the film table and renaming the title column as "title".
Then, it joins the rental and inventory tables using the inventory_id column as the common key. It then joins the resulting table with the film table using the film_id column as the common key.
The WHERE clause filters the data to only include rentals that occurred between June 1st and June 30th, 2020.
The GROUP BY clause groups the data by film_id so that the COUNT function can be used to count the number of times each film was rented during the specified period.
Finally, the ORDER BY clause sorts the data in descending order by the count of rentals for each film. The LIMIT clause limits the output to the top 2 most rented films.