


A detailed introduction to how mysql optimizes the speed of inserting records
When inserting records, the main factors that affect the insertion speed are index, uniqueness verification, the number of records inserted at one time, etc. According to these situations, optimization can be performed separately. This section will introduce several methods to optimize the speed of inserting records. Let's take a look with the editor below
When inserting records, the main factors that affect the insertion speed are indexing, uniqueness verification, and the number of records inserted at one time. According to these situations, optimization can be performed separately. This section will introduce several methods to optimize the speed of inserting records.
1. Common optimization methods for MyISAM engine tables are as follows:
1. Disable indexes. When inserting records into a non-empty table, MySQL will index the inserted records based on the index of the table. If you insert a large amount of data, indexing will slow down the speed of inserting records. In order to solve this situation, you can disable the index before inserting the record, and enable the index after the data is inserted. The statement to disable the index is: ALTER TABLE tb_name DISABLE KEYS; The statement to re-enable the index is: ALTER TABLE table_name ENABLE KEYS; For batch import of data from empty tables, this operation is not required because the MyISAM engine table is imported after the data is imported. indexed.
2. Disable uniqueness check: When data is inserted, MySQL will perform a uniqueness check on the inserted record. This uniqueness check also slows down the speed of inserting records. In order to reduce the impact of this situation on query speed, you can disable uniqueness checking before inserting records, and then enable it after the records are inserted. The statement to disable the uniqueness check is: SET UNIQUE_CHECKS=0; The statement to enable the uniqueness check is: SET UNIQUE_CHECKS=1;
3. Use batch insertion. Use one INSERT statement to insert multiple records. Such as INSERT INTO table_name VALUES(....),(....),(....)
4. Use LOAD DATA INFILE to batch import when you need to import data in batches When using the LOAD DATA INFILE statement to import data faster than the INSERT statement.
2. For InnoDB engine tables, common optimization methods are as follows:
1. Disable uniqueness check . Same as the MyISAM engine, set this value to 1 after importing data through SET UNIQUE_CHECKS=0;.
2. Disable foreign key checking. Insert dataDisable the query of foreign keys before executing, and resume the check of foreign keys after the data insertion is completed. The statement to disable foreign key checking is: SET FOREIGN_KEY_CHECKS=0; The statement to restore foreign key checking is: SET FOREIGN_KEY_CHECKS=1;
3. Disable automatic submission. Disable the automatic submission of transactions before inserting data. After the data import is completed, perform the restore automatic submission operation. The statement to disable automatic submission is: SET AUTOCOMMIT=0; To restore automatic submission, just set the value to 1.
The above is the detailed content of A detailed introduction to how mysql optimizes the speed of inserting records. 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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database

Laravel is a PHP framework for easy building of web applications. It provides a range of powerful features including: Installation: Install the Laravel CLI globally with Composer and create applications in the project directory. Routing: Define the relationship between the URL and the handler in routes/web.php. View: Create a view in resources/views to render the application's interface. Database Integration: Provides out-of-the-box integration with databases such as MySQL and uses migration to create and modify tables. Model and Controller: The model represents the database entity and the controller processes HTTP requests.

I encountered a tricky problem when developing a small application: the need to quickly integrate a lightweight database operation library. After trying multiple libraries, I found that they either have too much functionality or are not very compatible. Eventually, I found minii/db, a simplified version based on Yii2 that solved my problem perfectly.

Article summary: This article provides detailed step-by-step instructions to guide readers on how to easily install the Laravel framework. Laravel is a powerful PHP framework that speeds up the development process of web applications. This tutorial covers the installation process from system requirements to configuring databases and setting up routing. By following these steps, readers can quickly and efficiently lay a solid foundation for their Laravel project.

MySQL and phpMyAdmin are powerful database management tools. 1) MySQL is used to create databases and tables, and to execute DML and SQL queries. 2) phpMyAdmin provides an intuitive interface for database management, table structure management, data operations and user permission management.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
