Database dictionary Navicat automatic generation version

The data dictionary

A data dictionary is a place to store information about a database , Its purpose is to describe data .

For example, the creator information of a table , Create time information , Table space information , User access information, etc .

A database data dictionary is a set of table and view structures . They are stored in SYSTEM Tablespace , When users encounter difficulties in operating the data in the database, they can access the data dictionary to view the detailed information .

Users can use SQL Statement to access the database data dictionary .

The data dictionary includes ：

1. Information about all schema objects in the database , As shown in the table 、 View 、 cluster 、 And index, etc .
2. How much space to allocate , How much space is currently used, etc .
3. Default values for columns .
4. Integrity of constraint information .
5. User's name .
6. Permissions granted to users and roles .
7. Audit information accessed or used by users .
8. Other information generated from the database .

Catalog

The data dictionary

Export of database dictionary

Derived data ：

---

Export of database dictionary

Using tools ：【Navicat】 All versions are the same , All have functions . 

Create a library

Create table statements and information

/*
Navicat MySQL Data Transfer

Source Server         : my_test_ali_mysql_link
Source Server Version : 50732
Source Host           : rm-bp1zq3879r28p726lco.mysql.rds.aliyuncs.com:3306
Source Database       : mytext

Target Server Type    : MYSQL
Target Server Version : 50732
File Encoding         : 65001

Date: 2022-07-01 23:00:44
*/

SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for `users`
-- ----------------------------
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (
  `id` int(8) NOT NULL AUTO_INCREMENT COMMENT ' Number , Unique self incrementing primary key ',
  `createDate` datetime NOT NULL COMMENT ' Creation time ',
  `userName` varchar(32) NOT NULL COMMENT ' user name , unique index ',
  `passWord` varchar(36) NOT NULL COMMENT ' User password ',
  `age` int(3) NOT NULL COMMENT ' User age ',
  `phone` varchar(11) NOT NULL COMMENT ' User's mobile phone number , String type , length 11',
  `introduce` varchar(20) NOT NULL COMMENT ' User profiles ',
  `sex` int(1) NOT NULL COMMENT ' User's gender ',
  PRIMARY KEY (`id`),
  UNIQUE KEY `userName_index` (`userName`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of users
-- ----------------------------
INSERT INTO `users` VALUES ('1', '2022-06-26 13:43:11', 'admin', '123456', '22', '15912345678', ' Phoenix dances for nine days ', '1');
INSERT INTO `users` VALUES ('2', '2022-06-26 13:43:11', 'zhangsan', '123456', '32', '15912345678', ' The king of Tibet ', '0');
INSERT INTO `users` VALUES ('3', '2022-06-26 13:43:11', 'lisi', '45451', '42', '15912345678', ' Rogue rabbit ', '0');
INSERT INTO `users` VALUES ('4', '2022-06-26 13:43:11', 'zhaoliu1', '2222', '52', '15912345678', ' Like martial arts .', '0');
INSERT INTO `users` VALUES ('5', '2022-06-26 13:43:11', 'zhaoliu2', '11111', '16', '15912345678', ' Like dancing .', '0');
INSERT INTO `users` VALUES ('6', '2022-06-26 13:43:11', 'zhaoliu3', '123787', '27', '15912345678', ' Like to pick up girls .', '0');

Open the query function ：

Enter the following sql sentence ：

select 
TABLE_SCHEMA,
TABLE_NAME,
COLUMN_NAME,
COLUMN_TYPE,
COLUMN_COMMENT
from 
information_schema.columns 
where 
TABLE_SCHEMA='mytext'; # Here is your database name 

See the effect ：

Here are all English column names , You can also make Chinese column names . 

select 
TABLE_SCHEMA ' Library name ',
TABLE_NAME ' Table name ',
COLUMN_NAME ' Name ',
COLUMN_TYPE ' Data type and length ',
COLUMN_COMMENT ' remarks '
from 
information_schema.columns 
where 
TABLE_SCHEMA='mytext'; # Here is your database name 

You can see the column information in Chinese ：

Derived data ：

 

Choose export 【xlsx】 Of Excel 

 

determine 【 Save the location 】 And 【 Save name 】

Note here , Be sure to check it 【 Contains the title of the column 】

Click Start

notice successfully Delegate over

Go to the corresponding save location to view the file .

Open it and see.

super, How complete this is , And it's automatically generated , Moist .

If there are multiple tables ER One of the pictures must also be left .