Fork and clone this repo. For this problem set, you will be working with the Pagila database.
In solutions.md, write your solutions to the questions below. Also, include the SQL queries (formatted nicely, using a multi-line code snippet) that you used to obtain your answer.
- What percentage of films have a rental rate of $0.99?
- What is the percentage breakdown of all films by rating? (Format this answer as a table in Markdown)
- Which actor appeared in the most films?
- Which customer has the most movie rentals?
- What was the longest rental period? (Hint: See
rental.rental_dateandrental.return_date) - What is the address of the store with the most films in their inventory?
- Which category has the most films? How many films are in that category?
- What is the address of the customer "Margaret Moore"? (Just the street address. Not the district, city, and ZIP code)
- There is a customer with the email "CARMEN.OWENS@sakilacustomer.org". What is the name of the city that they live in?
- What country is Store #2 (
store_id = 2) located in? - What is the total replacement cost of each store's entire inventory? (Hint: Each store has multiple copies of many films that each have a replacement cost.)
Create an Entity Relationship Diagram using draw.io. Include the following entities in your diagram.
- film
- actor
- category
- language
- inventory
- rental
- staff
- store
- customer
Include your ERD as a link in your solutions.md file. You can get a link to your draw.io diagram by clicking on File -> Publish -> Link...
There are some M:M relationships in here. Be sure to include the cross reference tables that mediate these relationships. For example, there is a M:M relationship between films and actors. This relationship is mediated by the film_actor table. Be sure to include that in your ERD as well.
Lastly, for your entities, you do not have to list the data types next to your attributes (column). Simply place an asterisks next to the primary key of the entity. See below:
Submit via PR by 9AM on Monday, March 31