Optimize MySQL usage Summary

With more and more database-driven applications, people have been pushing MySQL to its limits. Here are 101 tips for tuning and optimizing your MySQL installation. Some tips are specific to a specific installation environment, but the ideas are general. I have divided them into several categories to help you master more MySQL tuning and optimization skills. MySQL is a powerful open source database. With more and more database-driven applications, people have been pushing MySQL to its limits. Here are 101 tips for tuning and optimizing your MySQL installation. Some tips are specific to a specific installation environment, but the ideas are general. I have divided them into several categories to help you master more MySQL tuning and optimization skills. MySQL server hardware and operating system adjustments: 1. Have enough physical memory to load the entire InnoDB file into memory - accessing the file in memory is much faster than accessing it on the hard disk. 2. Avoid using Swap at all costs – swapping is done from the hard drive and is very slow. 3. Use battery-powered RAM (Note: RAM is random storage

1. Sharing of 101 debugging and optimization tips in MySQL

Introduction: With more and more database-driven applications, people have been pushing MySQL to its limits. Here are 101 tuning tips. Tips for optimizing your MySQL installation. Some tips are specific to your installation environment, but the ideas are general. I've divided them into several categories to help you master more MySQL tuning and optimization techniques

2. How to optimize mysql? Mysql related optimization

Introduction: This In most cases, I have introduced the applicable scenarios. If your application scenarios are different from those described in this article, it is recommended to make adjustments according to the actual situation instead of copying them mechanically. Questions are welcome, but no objections are accepted. After the brain’s habitual resistance

3. 21 suggestions for optimizing MySQL

#Introduction: Today a friend asked me how to optimize MySQL. I sorted it out based on my thinking, and it can be roughly divided into 21 directions. There are also some details (tablecache, table). design, index design, terminal cache, etc.) first...

4.

Simple method for MySQL database optimization

Introduction: The performance of the database is very important. I believe everyone knows this. Let’s optimize the mysql database from four aspects: 1. Select the most applicable fields! Attribute MySQL can well support the access of large amounts of data, but generally speaking, the smaller the table in the database, the faster the queries executed on it will be. Therefore, when creating the table, in order to obtain better results. To improve performance, we can set the width of the fields in the table as small as possible

##5.

Detailed explanation of the sample code for optimizing paging in MySQL

# Introduction: I only knew how to do paging when there is a large amount of data in the MySQL table. When the amount of data is large, it can be divided into tables, but I don’t know what to do if it is not divided into tables. . . Oh, the agent only has a few pieces of data, and the offset is completely blocked. Face). .

#6. Optimize paging in MySQL

Introduction: An interview question, how to do paging when there is a large amount of data in the MySQL table. . . . At that time, I only knew that when the amount of data was large, it could be divided, but I didn't know what to do when the table was regardless of table. . . . Alas, who asked the agent to just hold a few pieces of data, a simple limit, and offset completely (face covering

7. Ten parameters for optimizing mysql performance Detailed introduction of

## This profile: The number of connections that mysql can have. Get a lot of connection requests in a short time, which works, and then spend some time (though short) to check the connection and start a new thread #How to optimize mysql tens of millions of fast pages

## ：: How to optimize mysql 10 million fast pages

9. Optimize mysql or use cache?

#Introduction: Specifically, the two optimization strategies I want to compare are optimizing MySQL and caching. Note upfront that these optimizations are orthogonal, and the only reason you should choose one over the other is that they both cost money. Resources, that is, development time ##10.

21 tips for optimizing MySQL

##Introduction: A friend asked me how to optimize MySQL. I sorted it out based on my thinking. It can be roughly divided into 21 directions, as well as some details (table cache, table). Design, index design, terminal cache, etc.) will not be listed now. For a system, it is also a good system to complete the following in the early stage.

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