在CMD中使用for命令对单行字符串做分割的方法

时间:2023-03-09 20:13:46
在CMD中使用for命令对单行字符串做分割的方法

我们都知道CMD中的for命令是执行循环命令的,数据来源可以是一个文件,一个命令的结果或一个字符串,只有这3种来源

如果是一个文件则对这个文件的所有字符串进行循环处理

如果是一个命令结果,那么对这个命令的结果的每一行做循环处理

如果是一个字符串,那么对这个字符串只作一次处理

如:FOR /F ["options"] %variable IN ("string") DO command [command-parameters]

即使使用"Delims=[字符] Tokens=x"的功能也是只是把当前行的进行分割后的某一个项进行传递到循环语句中

而不能循环的对一行字符串进行逐个循环,想要实现类似与C#中的string.Split('字符')的功能

最后研究出的方法就是使用goto语句强制循环整个For语句的方法来实现

代码如下:

@echo off&title 字符串切割
set string=aaa/bbb/ccc
:split
rem 把要切割字符串按照/符号分割开,并取得分割后的第一个的值
rem 再把分割后的剩下的值重赋予环境变量string,并重新执行for
rem 第一次 %string%=aaa/bbb/cc
rem 第二次 %string%=bbb/ccc
rem 第三次 %string%=ccc
rem 第四次 %string%=空,结束goto,退出
for /f "tokens=1,* delims=/" %%i in ("%string%") do (
echo %%i
set string=%%j
)
if not "%string%"=="" goto split
pause

运行结果:

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" alt="" />

—— 原文发表于2012-3-11 08:57

用原本是循环的for命令来切割字符串,这纯属于奇技淫巧,CMD中批处理的功能很弱,但得益于其语法异常宽松,可以玩出各种花样

这也是我为什么喜欢脚本语言的很大一部分原因。:)