For an instructor lead, in-depth look at learning SQL click below.
Welcome to a thrilling journey into the realm of SQL and how it can be leveraged to create a robust movie database and a recommendation system. Are you ready? Let’s dive in!
Creating the Movie Database
The first step is to create the database for storing our movie details. For this, we shall be needing three tables: Movies, Genres, and Ratings. Our SQL code for creating these tables would look something like this:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
CREATE TABLE Movies ( MovieID INT PRIMARY KEY, Title VARCHAR(100), Year INT ); CREATE TABLE Genres ( GenreID INT PRIMARY KEY, MovieID INT, Genre VARCHAR(20), FOREIGN KEY (MovieID) REFERENCES Movies(MovieID) ); CREATE TABLE Ratings ( RatingID INT PRIMARY KEY, MovieID INT, Rating DECIMAL(2,1), FOREIGN KEY (MovieID) REFERENCES Movies(MovieID) ); |
Populating the Database
Next, we will populate these tables with meaningful data. For the sake of brevity, let’s insert a few records into each table. Here is how you would do it:
|
1 2 3 4 5 |
INSERT INTO Movies VALUES (1, 'Inception', 2010); INSERT INTO Genres VALUES (1, 1, 'Sci-Fi'); INSERT INTO Ratings VALUES (1, 1, 8.8); |
Building the Recommendation System
A simple yet effective recommendation logic can be implemented using SQL JOIN statements and the Rating information. We can suggest movies that have a similar genre and high rating to the user’s past liked movies. Here is a sneak-peek of how it can be achieved.
|
1 2 3 4 5 6 7 8 9 10 11 |
SELECT m.Title, m.Year, r.Rating FROM Movies m JOIN Genres g ON m.MovieID = g.MovieID JOIN Ratings r ON r.MovieID = m.MovieID WHERE g.Genre IN (SELECT g.Genre FROM Genres g JOIN Ratings r ON r.MovieID = g.MovieID WHERE r.Rating > 7.0) ORDER BY r.Rating DESC; |
The above query will fetch a list of movies that are rated higher than 7.0 and belong to the genres of movies with a similar rating.
Conclusion
SQL is an extremely potent tool when it comes to handling and analyzing the database. By leveraging its powerful syntax, you can not only manage a robust movie database but also develop an effective recommendation system. The examples listed above offer merely a glimpse into what could be achieved with SQL, and adopters are limited only by their imagination!