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该工具可以根据数据库表的描述文件模拟数据库表记录。
Github:使用时仅需编写一个数据库表的描述文件,即可生成相应行数的数据库表记录。数据库表描述文件的格式如下:
table:tablename1 rowsfieldname1 fieldtype1 [min,max)|{val1,...,valn} pk...fieldnamen fieldtypen [min,max)|{val1,...,valn}table:tablename2fieldname1 fieldtype1 [min,max)|{val1,...,valn}...fieldnamen fieldtypen [min,max)|{val1,...,valn}
每个数据库表描述文件可以包含单个或多个表的描述信息,每个表的第一行以table:
开头,其后接表名,rows
表示将要生成的数据库表记录的行数,为可选信息。其后n行为表字段的描述信息,fieldname
为字段名,fieldtype
为字段类型,目前支持int
、long
、float
、double
、string
和varchar
,string
和varchar
使用时的效果相同。[min,max)|{val1,...,valn}
为对该字段取值的约束,[min,max)
表示一个取值范围,表示可以取到符合数据类型的从min
(包含)到max
(不包含)的所有值,{val1,...,valn}
表示一个取值集合,即该字段只能取该集合内的值,不能取其他值,取值范围和取值集合只能设置一个,不能二者同时设置,但是可以都不设置。最后还可以设置字段为pk
,即表示该字段为主键,不可插入重复值。
NOTE:
rows
进行设置,要么在执行EmulateService.emulate(rows)
时进行设置,至少要设置一处,若两处都设置,则以EmulateService.emulate(rows)
为准。一个描述文件的实例:
table:person 20id int [1,1000) pkage int [1,120)gender int { 0,1}money double [0,1000000)coef doublecount long
EmulateService service = new EmulateService("/Users/Admin/Documents/tableinfo");System.out.println(service.emulate());
EmulateService service = new EmulateService("/Users/Admin/Documents/tableinfo");System.out.println(service.emulate(5)); //为emulator()函数中传入rows参数
insert into person(id,age,gender,money,coef,count) values(291,94,0,53412.21630881065,0.5779976127815049,7692545845379467444),(239,24,0,261361.0344283964,0.0508673570556899,-3620809042008399078),(684,101,0,157092.75796406597,0.3966187758324009,4607446640046108149),(920,47,0,624595.0526048058,0.986777681078574,8927642045409361120),(911,93,1,786998.2163966655,0.45354157926164607,-4313673043051624580),(20,92,1,664855.2384607359,0.8735817151239903,-7508906734973982553),(11,28,1,124671.13618049053,0.9734051779586359,5351526109491550133),(867,81,0,909606.4988407127,0.21212965912771842,897966445284003410),(991,29,0,600485.2315198382,0.8919574955689352,5936093823740762813),(720,81,0,537669.789256303,0.13056074959413433,6167679450490020352),(872,37,0,230361.65505933613,0.6349515457561012,-8273762954102208134),(613,105,1,173744.61354678206,0.24459185391975935,4334141001737976751),(892,16,1,93626.73601215122,0.38629133067688814,-4814762211230589829),(740,69,1,877803.2932818531,0.5004153012631574,3841626164676692156),(164,46,0,16203.3794649159,0.786204377521101,-3540351928265827338),(413,114,1,898904.6100799685,0.7137705656016263,-1021667364372863749),(179,51,0,361814.34572503634,0.451531569768709,233900225619619757),(230,69,0,969495.3066159218,0.6184311865576196,-843724423055990433),(310,78,1,908526.264743164,0.30687587651597414,8955454434489590540),(63,44,0,658074.8661432414,0.22715526857430424,-2933386510045183448)
insert into person(id,age,gender,money,coef,count) values(291,94,0,53412.21630881065,0.5779976127815049,7692545845379467444),(239,24,0,261361.0344283964,0.0508673570556899,-3620809042008399078),(684,101,0,157092.75796406597,0.3966187758324009,4607446640046108149),(920,47,0,624595.0526048058,0.986777681078574,8927642045409361120),(911,93,1,786998.2163966655,0.45354157926164607,-4313673043051624580)
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