How to design a high-performance MySQL table structure to implement the movie recommendation function?

How to design a high-performance MySQL table structure to implement the movie recommendation function?

In recent years, recommendation systems have been widely used in e-commerce, social networks, music, film and television and other fields. Among them, the recommended movie function is particularly important on video streaming platforms. In order to achieve high-performance movie recommendation function, it is crucial to design a reasonable MySQL table structure. This article will introduce in detail how to design a high-performance MySQL table structure to implement the movie recommendation function and provide code examples.

1. Requirements Analysis
Before starting to design the table structure, we first need to conduct a needs analysis to clearly define the specific requirements for the recommended movie function.

1. User information table
   The recommendation system needs to recommend movies suitable for users based on their interests. Therefore, it is necessary to design a user information table to store the user's basic information, such as user ID, user name, gender, age, region, etc.
2. Movie information table
   The recommendation system needs to obtain relevant information about movies in order to recommend them to users. Therefore, it is necessary to design a movie information table to store the basic information of the movie, such as movie ID, movie name, director, actor, release time, type, etc.
3. User movie viewing record table
   In order to better understand the user's interests and hobbies, the recommendation system needs to record the movies the user has watched. Therefore, it is necessary to design a user viewing record table to store the movies the user has watched, including fields such as user ID, movie ID, and viewing time.
4. Movie rating table
   The recommendation system needs to obtain the user's ratings of the movies they have watched. Therefore, it is necessary to design a movie rating table to store users' ratings of movies they have watched, including user ID, movie ID, rating and other fields.

2. Table structure design and sample code
Based on the above demand analysis, we can design the following MySQL table structure:

1. User information table

   CREATE TABLE `user_info` (
     `id` INT(11) NOT NULL AUTO_INCREMENT,
     `username` VARCHAR(50) NOT NULL,
     `gender` ENUM('M', 'F') NOT NULL,
     `age` TINYINT(3) NOT NULL,
     `area` VARCHAR(50) NOT NULL,
     PRIMARY KEY (`id`)
   ) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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2. Movie information table

   CREATE TABLE `movie_info` (
     `id` INT(11) NOT NULL AUTO_INCREMENT,
     `title` VARCHAR(100) NOT NULL,
     `director` VARCHAR(50) NOT NULL,
     `actors` VARCHAR(500) NOT NULL,
     `release_date` DATE NOT NULL,
     `genre` ENUM('Action', 'Comedy', 'Drama', 'Horror', 'Romance', 'Sci-Fi', 'Thriller') NOT NULL,
     PRIMARY KEY (`id`)
   ) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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3. User viewing record table

   CREATE TABLE `user_movie_view` (
     `id` INT(11) NOT NULL AUTO_INCREMENT,
     `user_id` INT(11) NOT NULL,
     `movie_id` INT(11) NOT NULL,
     `view_time` DATETIME NOT NULL,
     PRIMARY KEY (`id`),
     INDEX `user_id` (`user_id`),
     INDEX `movie_id` (`movie_id`)
   ) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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4. movie rating table

   CREATE TABLE `movie_rating` (
     `id` INT(11) NOT NULL AUTO_INCREMENT,
     `user_id` INT(11) NOT NULL,
     `movie_id` INT(11) NOT NULL,
     `rating` FLOAT(2, 1) NOT NULL,
     PRIMARY KEY (`id`),
     INDEX `user_id` (`user_id`),
     INDEX `movie_id` (`movie_id`)
   ) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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The above code is an example designed based on the InnoDB storage engine and utf8 character set. When designing the table structure, you need to select appropriate field types, indexes, and constraints based on specific business needs.

3. Optimization strategy
In addition to designing a reasonable table structure, some optimization strategies can also be adopted to improve the performance of the recommended movie function:

1. Add an index: when the user is watching the movie In the record table and movie rating table, indexes can be added to the user_id and movie_id fields to improve query performance.
2. Data sharding: If the amount of data is large, you can consider sharding the user viewing record table and movie rating table according to user_id or movie_id to reduce the load pressure on a single table.
3. Caching mechanism: Caching technology can be used to cache recommendation results, reduce the number of database queries, and improve response speed.
4. Regular data cleaning: Invalid data in the user viewing record table and movie rating table can be regularly cleaned to reduce the size of the table and improve query performance.

Summary:
Design a high-performance MySQL table structure to implement the movie recommendation function. On the basis of meeting the needs, reasonable field types, indexes, constraints and other factors need to be considered. In addition, optimization strategies can also be adopted, such as adding indexes, data sharding, caching mechanisms, and regular cleaning, to improve the performance of the movie recommendation function. Through reasonable design and optimization, the user experience and user satisfaction of the system can be effectively improved.

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