mysql build linux

MySQL is an open source relational database management system that is widely used in the fields of information management, data storage and information processing. Building a MySQL database on a Linux server can greatly improve data security and reduce system maintenance costs. This article will introduce the steps and precautions for building a MySQL database under a Linux system.

1. Install MySQL

You can install MySQL on a Linux system using the command line or the installation program.

1. Command line installation

Run the following command in the terminal to install MySQL:

sudo apt-get update
sudo apt-get install mysql-server

After executing the above command, the system will automatically download and install the MySQL database .

2. Installation program

Download the MySQL installation program from the official website and install it according to the prompts. During the installation process, you need to set the MySQL root user password. This password is very important and must be kept properly.

2. Configure MySQL

1. Modify the configuration file

Open the MySQL configuration file/etc/mysql/mysql.conf.d/ mysqld.cnf, modify the following parameters:

bind-address = 0.0.0.0

This allows remote connection to the MySQL database.

2. Configure firewall

If the system uses iptables firewall, port 3306 needs to be opened for external access to the MySQL database:

sudo iptables -A INPUT -p tcp --dport 3306 -j ACCEPT

If you use ufw Firewall, you need to run the following command:

sudo ufw allow mysql

3. Create database and user

1. Log in to MySQL

Run the following command in the terminal with root permissions Enter MySQL:

mysql -u root -p

After entering the root password, you can log in to MySQL.

2. Create database and user

Use the following command to create a database named "exampledb":

CREATE DATABASE exampledb;

Then create a database named "exampleuser" User and set a password for it:

CREATE USER 'exampleuser'@'%' IDENTIFIED BY 'password';

Note that the "%" here means that you can connect to the database from any IP address; if you only want to connect locally, change "%" to "localhost".

Assign all permissions to "exampleuser" to the "exampledb" database:

GRANT ALL PRIVILEGES ON exampledb.* TO 'exampleuser'@'%';

Finally use the following command to make the configuration take effect immediately:

FLUSH PRIVILEGES;

4. Connect to MySQL

When connecting to MySQL on the client, you need to provide the database address, port, username and password. If you want to connect to MySQL from the Internet, you will need to enter the server's public IP address. The following is a sample code for using Python to connect to MySQL:

import mysql.connector

config = {
  'user': 'exampleuser',
  'password': 'password',
  'host': '192.168.1.100',
  'port': '3306',
  'database': 'exampledb',
  'raise_on_warnings': True
}

cnx = mysql.connector.connect(**config)

cursor = cnx.cursor()

query = ("SELECT * FROM example_table")

cursor.execute(query)

for row in cursor.fetchall():
    print(row)

cursor.close()

cnx.close()

5. Performance optimization

You need to pay attention to some performance optimization issues when using MySQL. The following are some common optimization measures:

1. Use indexes: Creating indexes on frequently queried fields can speed up queries.
2. Optimize query statements: Through reasonable query statements, full table scans and the creation of temporary tables can be avoided, thereby improving query efficiency.
3. Design reasonable table structure: Designing table fields, indexes, data types and other attributes can avoid unnecessary data conversion and calculation, thereby improving data processing efficiency.
4. Regular maintenance: Regularly cleaning unnecessary data, optimizing the table structure and query statements of the database can improve performance.

Summary:

Through the introduction of this article, readers can understand the steps and precautions for building a MySQL database on a Linux system, as well as some common performance optimization measures. Using a combination like Linux MySQL can provide efficient database solutions for areas such as information management, data storage, and information processing.

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