为什么这个正则表达式需要很长时间才能执行? [英] Why does this regex take a long time to execute?
问题描述
我发现,例如这一行的执行时间非常长:
I found out, that for example this line has a very very long execution time:
System.out.println(
".. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .... .. .."
.matches("(?i)(?:.* )?\\W?([a-z0-9-_\\.]+((?: *)\\.(?: *))+(?:DE))(?:[0-9]{1,5})?")
);
如果我减少字符串开头的点数,执行时间会降低(看起来像这是指数)。这是挂起线程的堆栈跟踪:
If I reduce the amount of dots at the start of the String the execution time gets lower (seems like it's exponential). Here is the suspended thread's stack trace:
[Repeating text]...
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4279
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Loop.match(Matcher, int, CharSequence) line: 4785
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4279
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Single(Pattern$BmpCharProperty).match(Matcher, int, CharSequence) line: 3798
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4272
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Loop.match(Matcher, int, CharSequence) line: 4785
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4272
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Single(Pattern$BmpCharProperty).match(Matcher, int, CharSequence) line: 3798
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4279
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Loop.matchInit(Matcher, int, CharSequence) line: 4801
Pattern$Prolog.match(Matcher, int, CharSequence) line: 4741
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4272
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Ques.match(Matcher, int, CharSequence) line: 4182
Pattern$BranchConn.match(Matcher, int, CharSequence) line: 4568
Pattern$GroupTail.match(Matcher, int, CharSequence) line: 4717
Pattern$Single(Pattern$BmpCharProperty).match(Matcher, int, CharSequence) line: 3798
Pattern$Curly.match0(Matcher, int, int, CharSequence) line: 4272
Pattern$Curly.match(Matcher, int, CharSequence) line: 4234
Pattern$GroupHead.match(Matcher, int, CharSequence) line: 4658
Pattern$Branch.match(Matcher, int, CharSequence) line: 4604
Matcher.match(int, int) line: 1270
Matcher.matches() line: 604
Pattern.matches(String, CharSequence) line: 1135
String.matches(String) line: 2121
Main.main(String[]) line: 11
为什么会发生这种情况?
Why does this happen?
推荐答案
当模式 x
成为可选项时 - 使用?
或 *
量词(或 {0,}
) - 引擎有两条路径可以接近使用量词的本质:
When pattern x
is made optional - using ?
or *
quantifiers (or {0,}
) - engine has two paths to approach according to the nature of quantifier being used:
- 消耗然后回溯其他模式(贪婪的情况,即
。*
,。?
) - 首先不消费并立即查看其他模式(懒惰的情况
。*?
)
- Consumes then backtracks for other patterns (case of greediness i.e.
.*
,.?
) - First doesn't consume and looks immediately for other patterns (case of laziness
.*?
)
有人可能不知道正则表达式或不是'关心性能并抛出。*
无论他需要在字符串中的某个地方进行匹配,引擎都是如此快速地来回走动而不是除非无法找到模式,否则兴趣似乎很奇怪或缓慢。
Someone probably is not aware about regular expressions or doesn't care about performance and throws .*
wherever he needs a match somewhere in string and engines are so fast in taking steps back and forth that nothing seems weird or slow unless a pattern can not be found.
时间复杂度从 O(n)
开始,继续 O(n ^ 2b)
其中 b
是嵌套量词的级别。因此,在失败的情况下,引擎所需的步数是巨大的。
Time complexity starts at O(n)
and continues with O(n^2b)
where b
is level of nesting quantifiers. So on failure number of steps an engine takes is HUGE.
为了避免这种情况,有人需要考虑一些指导原则:
To avoid such situations someone needs to consider some guiding principles:
-
指定边界。如果模式应该在数字之前的某处停止
。*
。而是\ D *
。
使用条件。在使用前瞻 ^(?= [^ x] * x)$运行整个匹配之前,您可以检查模式/字母
x
是否存在C $ C>。这会导致早期失败。
Use conditions. You can check if pattern / letter x
exists before running a whole match using a lookahead ^(?=[^x]*x)
. This leads to an early failure.
使用占有量词或原子组(如果有)。这两个避免回溯。有时你不需要回溯。
Use possessive quantifiers or atomic groups (if available). These two avoid backtracks. Sometimes you do not need backtracks.
不要做(。*)+
或类似的模式。而是重新考虑您的要求或至少使用原子组(?>。*)+
。
Do not do (.*)+
or similar patterns. Instead reconsider your requirements or at least use atomic groups (?>.*)+
.
您自己的正则表达式也不例外。它有很多贪婪和可选的比赛,需要一段时间才能重新获得。
Your own Regular Expression isn't an exception. It suffers from much greediness and optional matches and needs a time to be restudied.
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