Double write buffer optimization mechanism and practice in MySQL
Double write buffer optimization mechanism and practice in MySQL
In MySQL, when the InnoDB storage engine is used and the doublewrite function is enabled, the double write buffer mechanism will be used to improve data security. This article explains how double-write buffering works and provides some practical examples.
- The working principle of double-write buffering
The double-write buffering mechanism is mainly used to pre-write data to a data file before writing it to the data file of the InnoDB storage engine. in an area of disk called "Double Write Buffer". Under normal circumstances, data is written to the data file before it is considered successful. If an error occurs when writing a data file, it can be recovered through the data in the "double write buffer" to ensure data consistency and durability.
- Practical example
In order to demonstrate the optimization effect of double-write buffering, we will create a simple database table and use the double-write buffering mechanism to conduct performance testing.
First, create a database table named "employee" and add some data.
CREATE TABLE employee (
id INT PRIMARY KEY,
name VARCHAR(100),
age INT
);
INSERT INTO employee VALUES (1, 'John Doe', 30);
INSERT INTO employee VALUES (2, 'Jane Smith', 25);
Next, we will enable the double write buffering mechanism.
SET GLOBAL innodb_doublewrite = ON;
Then, we can test the performance advantages of double-write buffering by executing the following code.
-- Turn off double-write buffering
SET GLOBAL innodb_doublewrite = OFF;
-- Start timer
SET @start_time = NOW();
-- Perform update operation
UPDATE employee SET age = age 1;
--End timing
SET @end_time = NOW();
--Calculate execution time
SELECT TIMEDIFF(@end_time, @start_time) AS execution_time;
Execute the following code to test the performance of turning on the double write buffering mechanism.
-- Turn on double write buffering
SET GLOBAL innodb_doublewrite = ON;
-- Start timing
SET @start_time = NOW();
-- Perform update operation
UPDATE employee SET age = age 1;
--End timing
SET @end_time = NOW();
--Calculate execution time
SELECT TIMEDIFF(@end_time, @start_time) AS execution_time;
By comparing the results of the two performance tests, we can see that after the double-write buffering mechanism is turned on, the execution time of the update operation is significantly reduced. This is because the double write buffer mechanism can reduce IO operations and improve the efficiency of data writing.
It should be noted that the double-write buffering mechanism may occupy a certain amount of disk space. If you have limited disk space, consider adjusting the size of the double-write buffer, or turning off this feature.
- Summary
Through the introduction of this article, we have understood the working principle of the double-write buffer optimization mechanism in MySQL, and demonstrated its performance advantages through practical examples. The double write buffer mechanism can improve the efficiency and security of data writing, and is very important for application scenarios that require high reliability and performance. If you are using the InnoDB storage engine, you may want to try turning on double write buffering to obtain better database performance.
The above is the detailed content of Double write buffer optimization mechanism and practice in MySQL. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Laravel is a popular PHP development framework, but it is sometimes criticized for being as slow as a snail. What exactly causes Laravel's unsatisfactory speed? This article will provide an in-depth explanation of the reasons why Laravel is as slow as a snail from multiple aspects, and combine it with specific code examples to help readers gain a deeper understanding of this problem. 1. ORM query performance issues In Laravel, ORM (Object Relational Mapping) is a very powerful feature that allows

Dream Weaver CMS Station Group Practice Sharing In recent years, with the rapid development of the Internet, website construction has become more and more important. When building multiple websites, site group technology has become a very effective method. Among the many website construction tools, Dreamweaver CMS has become the first choice of many website enthusiasts due to its flexibility and ease of use. This article will share some practical experience about Dreamweaver CMS station group, as well as some specific code examples, hoping to provide some help to readers who are exploring station group technology. 1. What is Dreamweaver CMS station group? Dream Weaver CMS

Decoding Laravel performance bottlenecks: Optimization techniques fully revealed! Laravel, as a popular PHP framework, provides developers with rich functions and a convenient development experience. However, as the size of the project increases and the number of visits increases, we may face the challenge of performance bottlenecks. This article will delve into Laravel performance optimization techniques to help developers discover and solve potential performance problems. 1. Database query optimization using Eloquent delayed loading When using Eloquent to query the database, avoid

Golang's garbage collection (GC) has always been a hot topic among developers. As a fast programming language, Golang's built-in garbage collector can manage memory very well, but as the size of the program increases, some performance problems sometimes occur. This article will explore Golang’s GC optimization strategies and provide some specific code examples. Garbage collection in Golang Golang's garbage collector is based on concurrent mark-sweep (concurrentmark-s

Time complexity measures the execution time of an algorithm relative to the size of the input. Tips for reducing the time complexity of C++ programs include: choosing appropriate containers (such as vector, list) to optimize data storage and management. Utilize efficient algorithms such as quick sort to reduce computation time. Eliminate multiple operations to reduce double counting. Use conditional branches to avoid unnecessary calculations. Optimize linear search by using faster algorithms such as binary search.

PHP Coding Practices: Refusal to Use Alternatives to Goto Statements In recent years, with the continuous updating and iteration of programming languages, programmers have begun to pay more attention to coding specifications and best practices. In PHP programming, the goto statement has existed as a control flow statement for a long time, but in practical applications it often leads to a decrease in the readability and maintainability of the code. This article will share some alternatives to help developers refuse to use goto statements and improve code quality. 1. Why refuse to use goto statement? First, let's think about why

Golang is a powerful and efficient programming language that is widely used to build web services and applications. In network services, traffic management is a crucial part. It can help us control and optimize data transmission on the network and ensure the stability and performance of services. This article will introduce the best practices for traffic management using Golang and provide specific code examples. 1. Use Golang’s net package for basic traffic management. Golang’s net package provides a way to handle network data.

Laravel performance bottleneck revealed: optimization solution revealed! With the development of Internet technology, the performance optimization of websites and applications has become increasingly important. As a popular PHP framework, Laravel may face performance bottlenecks during the development process. This article will explore the performance problems that Laravel applications may encounter, and provide some optimization solutions and specific code examples so that developers can better solve these problems. 1. Database query optimization Database query is one of the common performance bottlenecks in Web applications. exist
