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Learn and practice MySQL double-write buffering performance optimization skills and experience sharing
Abstract: MySQL double-write buffering is a performance optimization technology that can significantly improve the writing performance of the database. This article will introduce the principle of MySQL double-write buffering and how to optimize performance through some skills and experience. Some code examples will be used in the article to help readers better understand and apply these techniques.
Keywords: MySQL, double write buffer, performance optimization, skills, experience
1. Introduction
MySQL is one of the most popular open source databases today and is widely used in in application systems of all sizes. In scenarios of high concurrency and heavy load, the writing performance of the database often becomes a bottleneck affecting the overall system performance. MySQL double write buffer technology improves the write performance of the database by writing data to the buffer instead of writing it directly to the disk.
2. MySQL double-write buffering principle
MySQL double-write buffering reduces random write operations to the disk by first writing the written data to the buffer in the memory. This improves write performance. At the same time, MySQL will asynchronously flush the data in the buffer to the disk in the background to ensure data persistence.
3. Configuration of MySQL double-write buffer
To enable MySQL double-write buffer, you need to make the corresponding configuration in the MySQL configuration file. Double write buffering can be enabled and optimized by modifying the following parameters in the my.cnf file:
# 启用双写缓冲 innodb_doublewrite = 1 # 双写缓冲的大小,默认为自动调整 innodb_doublewrite_buffer_size = 128M
In the configuration file, we need to set innodb_doublewrite
to 1 to enable double write buffering, You can adjust the size of the double write buffer by modifying innodb_doublewrite_buffer_size
.
4. Performance optimization tips for MySQL double-write buffer
If your database writes a large amount , you can increase the size of the double write buffer appropriately to improve writing performance. However, it should be noted that an excessively large double-write buffer may occupy too many memory resources, causing other businesses to be affected.
By using batch insert statements, multiple insert operations can be merged into one operation, thereby reducing repeated double-write operations. This can greatly improve write performance.
The following is a sample code:
START TRANSACTION; INSERT INTO table_name (column1, column2) VALUES (value1, value2), (value3, value4), (value5, value6); COMMIT;
Excessive granularity of transactions will lead to an increase in lock conflicts, thereby reducing write performance . Therefore, try to control the granularity of transactions and split large transactions into multiple small transactions to improve concurrency.
5. MySQL double-write buffering experience sharing
In the process of using MySQL double-write buffering, I have summarized some experiences and techniques for your reference:
6. Summary
By learning and practicing the performance optimization techniques of MySQL double-write buffering, we can effectively improve the writing performance of the database. When configuring and using double write buffering, we need to adjust and optimize it based on actual business needs and load conditions. At the same time, other optimization techniques can also be combined to further improve database performance.
Reference code:
-- 表结构示例 CREATE TABLE `table_name` ( `id` int(11) NOT NULL AUTO_INCREMENT, `column1` varchar(255) NOT NULL, `column2` varchar(255) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB; -- 批量插入语句示例 START TRANSACTION; INSERT INTO `table_name` (`column1`, `column2`) VALUES ('value1', 'value2'), ('value3', 'value4'), ('value5', 'value6'); COMMIT;
The above is a sharing of performance optimization skills and experience in learning and practicing MySQL double-write buffering. I hope it will be helpful to readers in practical applications. When using MySQL double-write buffer, we need to adjust and optimize based on actual business needs and load conditions to obtain the best performance. At the same time, other optimization techniques can also be combined to further improve database performance.
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