Home Database Mysql Tutorial mysql command line installation

mysql command line installation

May 23, 2023 am 09:06 AM

MySQL is one of the most popular and widely used relational database systems currently. There are two ways to install MySQL: using GUI tools and using the command line. This article explains how to install MySQL using the command line.

  1. Download the MySQL installation package

First, you need to download the corresponding installation package from the MySQL official website. You can visit the following URL:

https://dev.mysql.com/downloads/mysql/

In the download page, select the applicable version of MySQL, for example, select MySQL 8.0 version. Download the complete package and save it to your local disk for later operations.

  1. Install MySQL

To install MySQL, you can use the following command:

sudo apt-get install mysql-client mysql-server
Copy after login

This command will automatically install the MySQL client and server. For Linux operating systems, you can install it using its own package manager.

  1. Configuring MySQL

After the installation is complete, you need to configure the MySQL database so that it can work correctly. Use the following command:

sudo mysql_secure_installation
Copy after login

Then follow the prompts to set the password and other settings for the MySQL root user. This process can set some security settings, such as preventing unauthorized remote logins.

  1. Connect to MySQL

To connect to the MySQL database through the command line, you can use the following command:

mysql -u root -p
Copy after login

Among them, -u is used to specify the user of the database name, select the root user here; -p is used to specify the password to be entered, here is the password of the MySQL root user just set.

  1. Create database

After connecting to the MySQL database, you can create a new database. Use the following command:

create database <database_name>;
Copy after login

Where, is the name of the new database. In addition, you can also specify some properties for the new database, such as character set, etc.

  1. Create table

After creating the database, you can create the table structure in it. You can use the following command:

create table <table_name> (
    <column1_name> <datatype>,
    <column2_name> <datatype>,
    ...
);
Copy after login

Where, is the name of the table to be created, is the column name, is the data type. For example, you can create a table containing two columns: id and name:

create table users (
    id int primary key,
    name varchar(255)
);
Copy after login
  1. Insert data

After the table structure is created, you can insert data into the table . You can use the following command:

insert into <table_name> (<column1_name>, <column2_name>, ...) values (<value1>, <value2>, ...);
Copy after login

For example, you can add a new user:

insert into users (id, name) values (1, 'Tom');
Copy after login
  1. Query data

After adding data, you can query the table data in. You can use the following command:

select <column1_name>, <column2_name>, ... from <table_name>;
Copy after login

For example, you can query all data in the users table:

select * from users;
Copy after login
  1. Update data

You can use the following command to update the table Data in:

update <table_name> set <column_name> = <new_value> where <some_condition>;
Copy after login

For example, to change the name of user Tom to Jerry, you can execute the following command:

update users set name = 'Jerry' where id = 1;
Copy after login
  1. Delete data

Finally , you can use the following command to delete the data in the table:

delete from <table_name> where <some_condition>;
Copy after login

For example, to delete the user Tom, you can execute the following command:

delete from users where id = 1;
Copy after login

Summary

MySQL is a powerful A relational database system that can be installed, configured, and managed through the command line. During this process, various commands can be used such as create database, create table structure, insert data, query data, update data and delete data. Using these commands, you can easily manage the MySQL database system. By using the command line, you can complete the operation more conveniently and quickly.

The above is the detailed content of mysql command line installation. 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.

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.

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.

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