Home Database Mysql Tutorial How to install MySQL from source in CentOS

How to install MySQL from source in CentOS

Apr 20, 2023 am 10:14 AM

There are many ways to install MySQL on CentOS, the simpler way is to install it through local or other software sources. However, installing MySQL from source gives you more control over the details of the installation and allows you to customize settings more precisely, so it is an option. This article will introduce how to install MySQL from source in CentOS.

Prerequisites

Before installing the MySQL source code, you need to ensure that your operating system has the following software installed:

  • gcc
  • cmake
  • make

If it is not installed, please use the following command to install it:

sudo yum install gcc cmake make
Copy after login

In addition, you also need to ensure that the following ports are not occupied, otherwise MySQL will Unable to install successfully:

  • 3306 (MySQL default port)
  • 3307 (MySQL default X Protocol port)
  • 33060 (MySQL default X Protocol TLS/SSL port)
  • 3308 (MySQL Router default port)

Get MySQL source code

Before installing the MySQL source code, you need to download the MySQL source code. In this article, we will use MySQL 8.0 as the installed version. You can choose to download the source code of version 8.0 on the download page of the MySQL official website.

You can use the wget command in the terminal to download the source code of MySQL 8.0 version:

wget https://dev.mysql.com/get/Downloads/MySQL-8.0/mysql-8.0.25.tar.gz
Copy after login

Decompress the source code

After the download is completed, decompress the source code to the specified path:

tar -xvf mysql-8.0.25.tar.gz -C /usr/local/
Copy after login

The source code is decompressed to the /usr/local/mysql-8.0.25 directory.

Configuring the installation path

Since the default source code installation path of MySQL is /usr/src/mysql, but in this article, we use /usr/local/mysql-8.0.25 as the source code path. Therefore, you need to configure the installation path first.

First enter the /usr/local/mysql-8.0.25 directory and use the following command to enter the MySQL installation configuration mode:

cd /usr/local/mysql-8.0.25
sudo cmake . -DCMAKE_INSTALL_PREFIX=/usr/local/mysql-8.0.25 -DMYSQL_DATADIR=/usr/local/mysql-8.0.25/data -DSYSCONFDIR=/etc
Copy after login

Among them:

  • -DCMAKE_INSTALL_PREFIX= /usr/local/mysql-8.0.25 specifies the installation path of MySQL.
  • -DMYSQL_DATADIR=/usr/local/mysql-8.0.25/data specifies the MySQL data storage path.
  • -DSYSCONFDIR=/etc specifies the MySQL configuration file storage path.

Compile and install

After the installation configuration is successful, use the following commands to compile and install:

sudo make
sudo make install
Copy after login

After a while, MySQL will be compiled and installed to the specified directory.

Configuring MySQL

After the installation is completed, you can configure MySQL.

Enter the /usr/local/mysql-8.0.25 directory and execute the following command to initialize:

sudo bin/mysqld --initialize-insecure --user=mysql --basedir=/usr/local/mysql-8.0.25 --datadir=/usr/local/mysql-8.0.25/data
Copy after login

Among them:

  • --initialize-insecure means using Unsafe way to initialize MySQL.
  • --user=mysql Specifies the user mySQL runs as mysql.
  • --basedir=/usr/local/mysql-8.0.25 Specifies the MySQL installation directory.
  • --datadir=/usr/local/mysql-8.0.25/data Specifies the MySQL data directory.

In addition, you also need to use the following command for simple configuration:

sudo cp support-files/mysql.server /etc/init.d/mysql
sudo systemctl daemon-reload
sudo systemctl enable mysql
sudo systemctl start mysql
Copy after login

At this point, the MySQL source code installation is complete.

Summary

Source code installation of MySQL is an ideal way for customized and personalized needs. Of course, for novices, it is also easier to install using package management tools such as yum. No matter which installation method is used, as long as it can meet the needs, it is the best method.

During the process of installing MySQL from source code, you also need to pay attention not to cause conflicts with the ports, otherwise you will not be able to install it successfully. In addition, after installing MySQL, you also need to configure the installation path, data path and other information. These are also important things to pay attention to during the MySQL source code installation process.

The above is the detailed content of How to install MySQL from source in CentOS. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

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.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

See all articles