MySQL partitioning practice through Navicat

MySQL partitioning practice through Navicat

MySQL partitioning is helpful for managing very large tables. There are four types of MySQL partitioning: range partitioning, list partitioning, hash partitioning, and key partitioning. We use the Navicat visualization tool to partition

1. Open Navicat, find the specified database, and design the table

2. Open the design table and select the option. There are partitions below.

3. First look at hash partitioning, and distribute data to different partitions based on the given number of partitions

4. Check the partition table information through sql.

5. Range partitioning, which indicates the field to be partitioned. It can be a field name or an expression operation on a field, such as year(create_time). The final value of range must be a number.

6. Check the table information of range partition through SQL. The other two partitions are similar, so I won’t go into details.

You may also be interested in:
  • MySQL advanced features - detailed explanation of the concept and mechanism of data table partitioning
  • In-depth explanation of MySql table, database, sharding and partitioning knowledge
  • Introduction to MySql table, database, sharding and partitioning knowledge points
  • Specific implementation methods of MySQL table sharding and partitioning
  • Correct use of MySQL partition tables
  • Mysql optimization Zabbix partition optimization
  • Is it necessary to create a separate index for the MySQL partition field column?
  • MySQL database table partitioning considerations [recommended]
  • A Brief Analysis of MySQL Data Table Partition Technology
  • MySQL data table partitioning strategy and advantages and disadvantages analysis

<<:  Linux touch command usage examples

>>:  Detailed explanation of Vue filter implementation and application scenarios

Recommend

How to access the local machine (host machine) in Docker

Question How to access the local database in Dock...

MySQL performance optimization: how to use indexes efficiently and correctly

Practice is the only way to test the truth. This ...

Detailed graphic tutorial on installing Ubuntu 20.04 dual system on Windows 10

win10 + Ubuntu 20.04 LTS dual system installation...

Web Design: Script Materials Reconstruct User Experience

<br />Original text: http://blog.rexsong.com...

How to configure SSL certificate in nginx to implement https service

In the previous article, after using openssl to g...

Solution to occasional crash of positioning background service on Linux

Problem Description In the recent background serv...

Learn more about MySQL indexes

1. Indexing principle Indexes are used to quickly...

Data URI and MHTML complete solution for all browsers

Data URI Data URI is a scheme defined by RFC 2397...

Analysis of the use and principle of Docker Swarm cluster management

Swarm Cluster Management Introduction Docker Swar...

Vue Element front-end application development table list display

1. List query interface effect Before introducing...

Implementation of Docker deployment of MySQL cluster

Disadvantages of single-node database Large-scale...

Summary of @ usage in CSS (with examples and explanations)

An at-rule is a declaration that provides instruc...

Linux View File System Type Example Method

How to check the file system type of a partition ...