How to use INNODB? Summary of how to use INNODB

This article mainly introduces the tutorial of MySQL to implement batch insertion to optimize performance. The running time is given to express the comparison after performance optimization. Friends in need can refer to it. For some systems with large amounts of data, the database faces In addition to low query efficiency, the problem is that it takes a long time for data to be stored in the database. Especially for reporting systems, the time spent on data import may last for several hours or more than ten hours every day. Therefore, it makes sense to optimize database insertion performance. After some performance tests on MySQL innodb, I found some methods that can improve insert efficiency for your reference. 1. One SQL statement inserts multiple pieces of data. Commonly used insert statements such as INSERT INTO `insert_table` (`datetime`, `uid`, `content`, `type`) VALUES ('0', 'userid_0'

1. 10 recommended articles about optimizing performance

Introduction: This article mainly introduces the tutorial of MySQL to implement batch insertion to optimize performance. The running time is given in the article to indicate the comparison after performance optimization. Friends in need can refer to the following For some systems with large amounts of data, in addition to low query efficiency, the problem faced by the database is that it takes a long time to enter the data into the database. Especially for reporting systems, the time spent on data import may last for several hours or more than a dozen times a day. hours. Therefore, it is very meaningful to optimize the database insertion performance. After some performance tests on MySQL innodb, I found some things that can improve the insert efficiency...

#2. Detailed introduction about optimizing performance

# Introduction: This article mainly introduces the implementation of batch insertion in MySQL As a tutorial on optimizing performance, the article gives the running time to express the comparison after performance optimization. Friends who need it can refer to it. For some systems with large amounts of data, the problems faced by the database are not only low query efficiency, but also data storage. It takes a long time. Especially for reporting systems, the time spent on data import may last for several hours or more than ten hours. Therefore, it makes sense to optimize the performance of MySQL innodb. Test and find some things that can improve insert efficiency...

3.

Detailed examples of InnoDB database optimization

##Introduction: InnoDB is designed for maximum performance when processing huge data volumes for MySQL. Its CPU efficiency may not be matched by any other disk-based relational database engine. . Innodb is very popular in websites or applications with large amounts of data. Then it doesn’t need to be optimized. The answer is obvious:

#4! . Detailed explanation of innodb_autoinc_lock_mode method with examples

##Introduction: The editor below will bring you an article Regarding the introduction of MySQL innodb_autoinc_lock_mode. The editor thinks it is quite good. I will share it with you now and give it a reference. Let’s follow the editor and take a look.

#5.

Detailed example of innodb_flush_method method in mysql Value method (explanation with examples). The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let’s follow the editor to take a look

6. Detailed explanation of the error of table primary key conflict when innodb_index_stats imports data

Introduction: The following editor will bring you an article on how to solve the problem of table primary key conflict when innodb_index_stats imports backup data. The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let’s follow the editor to take a look.

7. Detailed example of innodb_autoinc_lock_mode in mysql

Introduction: The following editor will bring you a brief discussion of the expression form and value selection reference method of innodb_autoinc_lock_mode. The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let’s follow the editor and take a look

8. MySQL transaction processing example explanation

##Introduction: Not all engines support transaction processing As mentioned in Chapter 21, MySQL supports several basic database engines. As discussed in this chapter, not all engines support explicit transaction management. MyISAM and InnoDB are the two most commonly used engines. The former does not support explicit transaction management, while the latter does. This is why the sample tables used in this book were created to use InnoDB rather than the more commonly used MyISAM. If your application requires transaction processing capabilities, be sure to use the correct engine type. Transaction processing can

9. Introduction to full-text search in MySQL

Introduction: Understanding Full-Text Search Not All Engines Support Full-Text Search As mentioned in Chapter 21, MySQL supports several basic database engines. Not all engines support full-text search as described in this book. The two most commonly used engines are MyISAM and InnoDB. The former supports full-text search, while the latter does not. This is why, although most of the sample tables created in this book use InnoDB, one sample table (the productnotes table) uses MyISAM. You should keep this in mind if your application requires full-text search functionality.

10. Explanation on the six major differences between the Mysql storage engine InnoDB and Myisam

Introduction: The difference in the composition of MyISAMInnoDB: Each MyISAM is stored as three files on the disk. The name of the first file begins with the name of the table and the extension indicates the file type. The .frm file stores table definitions. The extension of the data file is .MYD (MYData). The extension of the index file is .MYI (MYIndex).

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