Data table decentralization practical skills in MySQL

MySQL is a commonly used relational database management system. It is one of the most popular databases on the Internet and provides powerful data storage and management functions for many applications. In MySQL, data tables are the basic structure for organizing and storing data. In this article, we will discuss some practical tips for data table decentralization in MySQL.

1. Data table decentralization

When the amount of data contained in a MySQL database becomes very large, the data needs to be decentralized. Data table dispersion refers to splitting a very large data table into multiple smaller data tables for better data management and processing. Generally, data table dispersion can be carried out in the following ways:

Vertical dispersion: This method is to divide a large data table into multiple small data tables according to columns for better management and processing. data. For example, if a data table contains a lot of columns, and some of the columns are accessed very rarely, then these columns can be divided into smaller data tables.

Horizontal decentralization: This method is to divide a large data table into multiple small data tables according to rows in order to better manage and process data. For example, if a data table contains very large data with scattered access frequencies, they can be divided into multiple data tables and distributed and stored according to certain rules.

2. Data table naming convention

In MySQL, the data table naming convention is very important because it directly affects the readability and maintainability of the database. The following are some MySQL data table naming conventions:

Use lowercase letters: In MySQL, using lowercase letters to represent data table names is a relatively common naming method.

Use underscore delimiters: Use underscore delimiters to better distinguish different words in data table names, making them more readable.

Use meaningful names: Giving the data table a meaningful name can better describe the data content stored in the data table, so as to better manage and process the data.

3. Data table index

Index is a very important data structure in MySQL, which can improve the speed of querying data in the database. In MySQL, you can index a column or several columns in the data table. The following are some practical tips for MySQL data table indexing:

Choose the appropriate data type: When indexing columns in the data table, it is very important to choose the appropriate data type. For example, indexing on a column of type integer is much faster than indexing on a column of type character.

Use unique index: In MySQL, using unique index can ensure that each row of data in the data table is unique for better management and processing of data.

Avoid using too many indexes: In MySQL, using too many indexes will lead to reduced database performance, so you should avoid using too many indexes.

Summary

MySQL is a very popular relational database management system that can provide powerful data storage and management functions for many applications. In MySQL, data tables are the basic structure for organizing and storing data. Therefore, the practical skills of decentralized processing, naming conventions and indexing of data tables in MySQL are very important, so as to better manage and process data and improve the performance and maintainability of the database.

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