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