Regular Expressions are powerful and typically fast. A recent script is using a set of about 1800 expressions (from a database) on roughly five million strings per day, typically 1 - 2 kB long. The RegEx matches take a lot of time and so I tried to speed them up. Working on the regular expression strings would be an option, but I also wanted to test if a methodic approach would help.
Suchergebnisse mit Tag „regex“
Perl's "Regular Expression" Engine is one of the most flexible and powerful pattern matching and manipulation tools. "Easy" and "powerful" often behave like magnetic poles of the same kind: They can't be together. But the "s" and "m" suffix modifiers supported by the Perl RegEx engine aren't that complicated to understand but still very powerful.