Analysis of experience in high-performance data storage projects developed using MySQL

With the advent of the Internet era, more and more applications need to store large amounts of data. As a high-performance relational database, MySQL is widely used in various application scenarios, such as e-commerce, finance, social media, etc. This article will share the experience and skills of a high-performance data storage project based on MySQL.

1. Database design

In the database design stage, special attention needs to be paid to the following points:

(1) The table structure design should be simple, clear, and Meet business needs. Do not design too many redundant fields, which will cause additional storage and computing overhead.

(2) Select the appropriate data type and index type based on business needs. For example, you can use full-text indexes for fields that often require character matching queries.

(3) Avoid using foreign keys as much as possible. Although foreign keys can ensure data integrity and consistency, they can cause performance problems in high-concurrency scenarios.

2. Database Optimization

In daily operation and maintenance work, it is necessary to carry out appropriate optimization of the database to improve the performance of the system:

(1 ) optimize query statements. When performing data query operations, indexes should be given priority. For complex query statements, you can use the EXPLAIN command to view the query execution plan and identify possible performance bottlenecks.

(2) Clean up useless data regularly. Data cleaning should be performed in the database according to a certain time period to delete useless data and keep the database in good condition.

(3) Configure appropriate caching strategy. Hotspot data can be cached in memory to reduce the number of database accesses, thereby improving system response speed.

3. High availability design

In the face of high concurrency and massive data scenarios, the high availability of the database is particularly important, and the following measures need to be taken:

(1) Use master-slave replication architecture. Use the main database for write operations and the slave database for read operations to reduce the burden on the main database and increase the scalability of the system.

(2) Adopt the strategy of sub-database and sub-table in system architecture design. Spread data across multiple databases through horizontal splitting to increase the system's horizontal scalability.

(3) Use disaster recovery technology. When the main server fails, it automatically switches to the backup server to ensure system stability and availability.

4. Summary

As a high-performance relational database, MySQL has excellent features and a wide range of application scenarios. In practical applications, special attention needs to be paid to database design, optimization and high availability strategies to fully utilize the potential of MySQL and ensure high performance and high availability of the system.

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