东莞免费建站公司,艺术设计专业学什么,wordpress优化,大学生网站建设规划书在看MySQL文章的时候偶然发现生成数据的工具#xff0c;此处直接将软件作者的文档贴了过来#xff0c;说明了使用方式及下载地址
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 is…在看MySQL文章的时候偶然发现生成数据的工具此处直接将软件作者的文档贴了过来说明了使用方式及下载地址
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 typeGenerated valuestinyint0 ~ 0xFFsmallint0 ~ 0XFFFFmediumint0 ~ 0xFFFFFFint - integer0 ~ 0xFFFFFFFFbigint0 ~ 0xFFFFFFFFFFFFFFFFfloat0 ~ 1e8decimal(m,n)0 ~ 10^(m-n)double0 ~ 1000char(n)up to n random charsvarchar(n)up to n random charsdateNOW() - 1 year ~ NOW()datetimeNOW() - 1 year ~ NOW()timestampNOW() - 1 year ~ NOW()time00:00:00 ~ 23:59:59yearCurrent year - 1 ~ current yeartinyblobup to 100 chars random paragraphtinytextup to 100 chars random paragraphblobup to 100 chars random paragraphtextup to 100 chars random paragraphmediumblobup to 100 chars random paragraphmediumtextup to 100 chars random paragraphlongblobup to 100 chars random paragraphlongtextup to 100 chars random paragraphvarbinaryup to 100 chars random paragraphenumA random item from the valid items listsetA 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
OptionDescription–bulk-sizeNumber of rows per INSERT statement (Default: 1000)–debugShow some debug information–fk-samples-factorPercentage used to get random samples for foreign keys fields. Default 0.3–hostHost name/ip–max-fk-samplesMaximum number of samples for fields having foreign keys constarints. Default: 100–max-retriesMaximum number of rows to retry in case of errors. See duplicated keys. Deafult: 100–no-progressbarSkip showing the progress bar. Default: false–passwordPassword–portPort number–PrintPrint queries to the standard output instead of inserting them into the db–userUsername–versionShow 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 table1.1 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 table1.2 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-samplesExample
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)
) ENGINEInnoDB;To generate 100K random rows, just run:
mysql_random_data_load test t3 100000 --userroot --passwordrootmysql 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
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
