How to optimize and repair database tables in Mysql
Table is marked as crashed and should be repaired How to fix the error? As an excellent open source database version, Mysql database supports large data storage. However, if there are too many operations and frequent operations on the table, there may be problems with the database table that need to be optimized and repaired. This experience will briefly demonstrate the repair method
Repair the database
1. Refer to the command format
REPAIR TABLE `table_name` to repair the table. The specific operation is as follows
2. Optimize the database mysql table information
Refer to the following picture sample format OPTIMIZE TABLE `table_name` Optimization table
3. The above commands are simple There are commands to repair database tables, but what if you need to repair tables in batches? You can refer to the following graphical management tools to operate
Graphical interface database tool repair
1. After connecting to the database through a graphical database management tool such as navicat for rmysql or phpmyadmin. Select the table that needs to be repaired. Or select all, select optimize table
#2. As shown below, you will be reminded of the current database table situation. Which tables have been optimized successfully
##3. Similarly, for frequently operated tables, database table inspection and repair operations can also be performed. The method is the same
4. Status reminder after repair, Table is marked as crashed and should be repaired. Just ask you to repair this table
##Notes
It is very convenient to connect mysql optimization, check and repair tables through graphical management tools. But be sure to be careful not to select Delete
The above is the detailed content of How to optimize and repair database tables 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

AI Hentai Generator
Generate AI Hentai for free.

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



In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

To fill in the MySQL username and password: 1. Determine the username and password; 2. Connect to the database; 3. Use the username and password to execute queries and commands.

1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

Copy and paste in MySQL includes the following steps: select the data, copy with Ctrl C (Windows) or Cmd C (Mac); right-click at the target location, select Paste or use Ctrl V (Windows) or Cmd V (Mac); the copied data is inserted into the target location, or replace existing data (depending on whether the data already exists at the target location).

View the MySQL database with the following command: Connect to the server: mysql -u Username -p Password Run SHOW DATABASES; Command to get all existing databases Select database: USE database name; View table: SHOW TABLES; View table structure: DESCRIBE table name; View data: SELECT * FROM table name;
