MySQL数据生成工具mysql_random_data_load-摩杜云开发者社区

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Random data generator for MySQL

Many times in my job I need to generate random data for a specific table in order to reproduce an issue.
After writing many random generators for every table, I decided to write a random data generator, able to get the table structure and generate random data for it.
Plase take into consideration that this is the first version and it doesn’t support all field types yet!

NOTICE
This is an early stage project.

Supported fields:

Field type	Generated values
tinyint	0 ~ 0xFF
smallint	0 ~ 0XFFFF
mediumint	0 ~ 0xFFFFFF
int - integer	0 ~ 0xFFFFFFFF
bigint	0 ~ 0xFFFFFFFFFFFFFFFF
float	0 ~ 1e8
decimal(m,n)	0 ~ 10^(m-n)
double	0 ~ 1000
char(n)	up to n random chars
varchar(n)	up to n random chars
date	NOW() - 1 year ~ NOW()
datetime	NOW() - 1 year ~ NOW()
timestamp	NOW() - 1 year ~ NOW()
time	00:00:00 ~ 23:59:59
year	Current year - 1 ~ current year
tinyblob	up to 100 chars random paragraph
tinytext	up to 100 chars random paragraph
blob	up to 100 chars random paragraph
text	up to 100 chars random paragraph
mediumblob	up to 100 chars random paragraph
mediumtext	up to 100 chars random paragraph
longblob	up to 100 chars random paragraph
longtext	up to 100 chars random paragraph
varbinary	up to 100 chars random paragraph
enum	A random item from the valid items list
set	A random item from the valid items list

How strings are generated

If field size < 10 the program generates a random “first name”
If the field size > 10 and < 30 the program generates a random “full name”
If the field size > 30 the program generates a “lorem ipsum” paragraph having up to 100 chars.

The program can detect if a field accepts NULLs and if it does, it will generate NULLs ramdomly (~ 10 % of the values).

Usage

mysql_random_data_load <database> <table> <number of rows> [options...]

Options

Option	Description
–bulk-size	Number of rows per INSERT statement (Default: 1000)
–debug	Show some debug information
–fk-samples-factor	Percentage used to get random samples for foreign keys fields. Default 0.3
–host	Host name/ip
–max-fk-samples	Maximum number of samples for fields having foreign keys constarints. Default: 100
–max-retries	Maximum number of rows to retry in case of errors. See duplicated keys. Deafult: 100
–no-progressbar	Skip showing the progress bar. Default: false
–password	Password
–port	Port number
–Print	Print queries to the standard output instead of inserting them into the db
–user	Username
–version	Show version and exit

Foreign keys support

If a field has Foreign Keys constraints, random-data-load will get up to --max-fk-samples random samples from the referenced tables in order to insert valid values for the field.
The number of samples to get follows this rules:
1. Get the aproximate number of rows in the referenced table using the rows field in:

EXPLAIN SELECT COUNT(*) FROM <referenced schema>.<referenced table>

1.1 If the number of rows is less than max-fk-samples, all rows are retrieved from the referenced table using this query:

SELECT <referenced field> FROM <referenced schema>.<referenced table>

1.2 If the number of rows is greater than max-fk-samples, samples are retrieved from the referenced table using this query:

SELECT <referenced field> FROM <referenced schema>.<referenced table> WHERE RAND() <= <fk-samples-factor> LIMIT <max-fk-samples>

Example

CREATE DATABASE IF NOT EXISTS test;

CREATE TABLE `test`.`t3` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `tcol01` tinyint(4) DEFAULT NULL,
  `tcol02` smallint(6) DEFAULT NULL,
  `tcol03` mediumint(9) DEFAULT NULL,
  `tcol04` int(11) DEFAULT NULL,
  `tcol05` bigint(20) DEFAULT NULL,
  `tcol06` float DEFAULT NULL,
  `tcol07` double DEFAULT NULL,
  `tcol08` decimal(10,2) DEFAULT NULL,
  `tcol09` date DEFAULT NULL,
  `tcol10` datetime DEFAULT NULL,
  `tcol11` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  `tcol12` time DEFAULT NULL,
  `tcol13` year(4) DEFAULT NULL,
  `tcol14` varchar(100) DEFAULT NULL,
  `tcol15` char(2) DEFAULT NULL,
  `tcol16` blob,
  `tcol17` text,
  `tcol18` mediumtext,
  `tcol19` mediumblob,
  `tcol20` longblob,
  `tcol21` longtext,
  `tcol22` mediumtext,
  `tcol23` varchar(3) DEFAULT NULL,
  `tcol24` varbinary(10) DEFAULT NULL,
  `tcol25` enum('a','b','c') DEFAULT NULL,
  `tcol26` set('red','green','blue') DEFAULT NULL,
  `tcol27` float(5,3) DEFAULT NULL,
  `tcol28` double(4,2) DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB;

To generate 100K random rows, just run:

mysql_random_data_load test t3 100000 --user=root --password=root

mysql> select * from t3 limit 1\G
*************************** 1. row ***************************
    id: 1
tcol01: 10
tcol02: 173
tcol03: 1700
tcol04: 13498
tcol05: 33239373
tcol06: 44846.4
tcol07: 5300.23
tcol08: 11360967.75
tcol09: 2017-09-04
tcol10: 2016-11-02 23:11:25
tcol11: 2017-03-03 08:11:40
tcol12: 03:19:39
tcol13: 2017
tcol14: repellat maxime nostrum provident maiores ut quo voluptas.
tcol15: Th
tcol16: Walter
tcol17: quo repellat accusamus quidem odi
tcol18: esse laboriosam nobis libero aut dolores e
tcol19: Carlos Willia
tcol20: et nostrum iusto ipsa sunt recusa
tcol21: a accusantium laboriosam voluptas facilis.
tcol22: laudantium quo unde molestiae consequatur magnam.
tcol23: Pet
tcol24: Richard
tcol25: c
tcol26: green
tcol27: 47.430
tcol28: 6.12
1 row in set (0.00 sec)

效果良好

MySQL数据生成工具mysql_random_data_load_mysql

How to download the precompiled binaries

There are binaries available for each version for Linux and Darwin. You can find compiled binaries for each version in the releases tab:

https://github.com/Percona-Lab/mysql_random_data_load/releases