MySQL monitoring tool mysql-monitor detailed explanation

1. Overview

mysql- monitor MYSQL monitoring tools, optimization tools, and various tools integrated into the java spring boot project

git地址：https://github.com/lccbiluox2/mysql-monitor.git

2. Code structure

3. Backend service

The main class of the backend service is com.neo.MySQLMointorApplication

3.1 Backend service database

spring.datasource.driverClassName = com.mysql.jdbc.Driver
spring.datasource.url = jdbc:mysql://localhost:3306/mysql_monitor?useUnicode=true&characterEncoding=utf-8&useSSL=true
spring.datasource.username = root
spring.datasource.password = 12345678

Modify this according to your own needs.

The SQL running script is in doc/sql/mysql_monitor.sqlPlease perform the table creation operation first, and then run the main class.

4. Front-end service

Front-end main page:web-provider/html/database/database-list.html

Because the front-end and back-end are separated, the most original html jquery ajax is used to operate the back-end and display it, which solves the cross-domain problem. Just open the page directly.

4.1 Configuration

The front-end configuration file is as follows: web-provider/js/constant.js

//定义几个全局变量
var AppUrl = "http://localhost:8090";//整个页面的请求页面

Mainly configures the address requested by the backend.

5. The effect is as follows

5.1 Database list page

5.2 Database details page

5.3 Table list page

5.4 Table details page

7. Goal

In the future, developers only need to be able to use MySQL and use this tool, and it will automatically help us analyze the bad parts of the table and the bad parts of SQL writing
Let developers rely on This can be used as a MySQL DBA

• SQL execution optimization, developers, wrote a SQL, I don’t know whether the performance is good or not, I just need to add it to the page , click to enter SQL, and then various

• executions will be simulated and drawn into a table to display various optimized SQL executions. This requires Antlr for lexical analysis and syntax analysis.

• Automatically analyze the table structure, for example, if varchar (100) is set, if your data only uses 50 bytes, then calculate the space lost by your field, disk

• Automatically sample the index to form a tree diagram and display it on the page, giving us a rough idea of ​​the real look of the index we created

• Extensive performance monitoring Figure

MySQL Tutorial"

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