MySQL Learning Tutorial (Super Complete)

Learning MySQL requires reading documents, watching video tutorials, and taking online courses. At the same time, practical operations are also required, such as creating databases, tables and data insertion, querying, etc., to deepen the understanding and mastery of MySQL. In practice, you can also encounter some problems that need to be solved by querying the documentation and searching for solutions.

1. Learning content

1. Learn the basics of SQL language: learn the basics of SQL language, such as data types, table creation, data insertion and query, etc.

2. Learn the installation and configuration of MySQL: learn how to install and configure the MySQL database server on your computer.

MySQL is a popular relational database management system. This article will introduce you to the installation and configuration of MySQL.

Download the MySQL installation package

Download the MySQL installation package from the MySQL official website ( https://www.mysql.com/), and select the version suitable for your system (such as Windows, Linux, etc.) and the corresponding operating system version. 2. Install MySQL

Double-click the installation package and follow the prompts to install it. During the installation process, you need to select the installation path of MySQL, set the password of the root user, configure the port number of MySQL, and so on.

3. Configure MySQL

Once installed, some basic configuration is required to use MySQL. Here are some basic configurations:

Start the MySQL service: In the Windows operating system, you can start the MySQL service in "Service"; in the Linux operating system, you can use the command line to start the MySQL service.
Configure MySQL connection: There is a my.ini or my.cnf file in the MySQL installation directory, you can configure the MySQL connection by modifying this file. For example, you can modify the port number, set the character set, prohibit remote connections, etc.
Create databases and users: You can use MySQL command line tools or visual tools (such as Navicat, phpMyAdmin, etc.) to create databases and users. The specific commands are as follows:
```
CREATE DATABASE dbname;
CREATE USER 'username'@'localhost' IDENTIFIED BY 'password';
GRANT ALL PRIVILEGES ON dbname.* TO 'username'@'localhost';
FLUSH PRIVILEGES;
```
4. Use MySQL

Once installed and configured, you can use MySQL for database management. You can use command line tools or visual tools to operate, such as creating tables, inserting data, querying data, etc.

The basic usage commands of MySQL are as follows:

Logging in to MySQL: Using the command line tool, enter the mysql -u root -p command and enter the password of the root user to log in to MySQL.
CREATE DATABASE: CREATE DATABASE DATABASE NAME;
Create table: Create table table name (column 1 data type, column 2 data type, ...);
Insert data: INSERT INTO tablename (column1, column2, ...) value (value1, value2, ...);
Query data: SELECT column1, column2, ... from table name WHERE condition;
Update data: UPDATE table name SET column 1 = value 1, column 2 = value 2, ... where condition;
Delete data: remove the WHERE condition from the table name;

3. Learn the management and maintenance of MySQL: learn how to manage and maintain MySQL database, such as backup and restore data, database optimization and performance adjustment, etc.

4. Learn MySQL application development: learn how to use MySQL database for application development, such as using Java, Python and other programming languages to connect to MySQL database for data interaction.

5. Learn the security of MySQL: learn how to protect the security of MySQL database, such as setting passwords, restricting access rights, etc.

6. Learn MySQL performance optimization: learn how to optimize the performance of MySQL database, such as using indexing, partitioning and other technologies.

Second, how to learn MySQL ?

MySQL table creation

A MySQL table is a data structure used to store data. Creating a table in MySQL requires the following steps:

Define table and column names
Specifies the data type of the column
Define primary and foreign keys
Specify the constraints of the column (such as uniqueness, non-null, default value, etc.)

The syntax for creating a table is as follows:


CREATE TABLE table_name (
    column1 datatype constraints,
    column2 datatype constraints,
    column3 datatype constraints,
    ...
    PRIMARY KEY (column_name)
);

2. MySQL data insertion

Inserting data into a MySQL table requires the use of the INSERT INTO statement. Before inserting data, you need to ensure that the table has been created. The syntax for inserting data is as follows:

INSERT INTO table_name (column1, column2, column3, ...)
VALUES (value1, value2, value3, ...);

3. MySQL query

Queries are one of the core functions of MySQL. SELECT statement is used to retrieve data from a table. Queries can use a WHERE clause to filter data, an ORDER BY clause to sort data, and a JOIN clause to join multiple tables.

SELECT * FROM users WHERE name='John';

4. MySQL advanced functions: MySQL not only supports basic data query, insert, update and delete operations, but also has many advanced functions, such as:

(1) Stored procedure: A stored procedure is a code block stored in the database that can be called multiple times, thereby reducing repetitive code. Stored procedures can contain variables, control flow and SQL statements, can accept parameters and return results.

(2) Trigger: A trigger is a special type of stored procedure that is automatically executed when a specified event occurs. You can use triggers to automate database operations, for example, when a row of data is inserted, you can use triggers to calculate some data and store it in another table.

(3) Index: Index is a special data structure that can speed up data search. MySQL supports several types of indexes, including B-trees, hashes, and full-text indexes.

(4) Partitioning: Partitioning is the technique of dividing a table into multiple sub-tables. By partitioning tables, query efficiency can be improved, maintenance costs can be reduced, and data can be stored on multiple disks to improve availability.

(5) Foreign key: A foreign key is a technique used to establish a relationship between tables. Foreign keys can ensure data consistency and prevent the relationship between other tables from being destroyed when deleting or updating data in one table.

(6) Transaction: A transaction is a set of SQL statements, either all of them are executed successfully, or none of them are executed. In MySQL, transactions can be used to ensure data consistency and integrity. If a transaction fails, all executed statements are rolled back, ensuring data integrity.

(7) Backup and recovery: MySQL supports multiple backup and recovery methods, including physical backup, logical backup and incremental backup. Backup can be used to prevent data loss or data corruption, and restore can be used to recover corrupted or deleted data.

(8) Security: MySQL supports a variety of security features, including user management, access control, and encryption. You can use these features to protect the confidentiality and integrity of your data.

(9) Database replication: MySQL supports a variety of database replication technologies, including master-slave replication and multi-master replication. Database replication can be used to scale read performance, improve availability and backup.

(10) Performance optimization: MySQL supports a variety of performance optimization technologies, including indexes, query optimizers, caches, and partitions. These techniques can be used to improve query efficiency, reduce query latency, increase throughput, and more.

5. MySQL security: MySQL provides a variety of security features, such as user and authority management, encryption and SSL support. You can use the GRANT and REVOKE commands to create, modify, and delete users and permissions. The SSL and TLS protocols can be used to secure data transmission.

6. MySQL performance optimization: MySQL performance optimization includes the use of indexing, partitioning, caching and other technologies to improve the query and read and write performance of the database. You can use the EXPLAIN command to analyze the query execution plan to optimize query performance. Caching can be used to avoid frequent database read and write operations, thereby improving system performance.

No matter which learning method is adopted, practical operations are required to deepen the understanding and mastery of MySQL.

Recommended sharing of MySQL learning book list:

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MySQL Learning Tutorial (Super Complete)

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