Well, I'm confused where you get the O(lg(x)) bound from. According to the paper, the running time is bounded by O(N(w(Mm)α + MmI(m + I))), and the space used is bounded by O(Mm + w log(Mm) + M(m + I)), where N is the number of words in the text to be searched, M is the number of patterns to search for, each pattern containing m words, w is the average length of a word, I is the number of insertions of foreign words, and α is some constant between 0 and 1, depending on tresholds. If we take w, m, I and α to be fixed, the bounds simplify to O(NM) time, and O(M) space. They make some arguments that in practise, the running time is bounded by O(NMα).

But from what I can tell, this is just the running time for a match - it doesn't include the preprocessing time.

The algorithm hinges on the following properties:

  1. The set of patterns doesn't change.
  2. The text to search in can be tokenized, and we are interested in finding (groups of) tokens.
  3. The patterns are simple strings.
  4. It'll do "fuzzy" matches.
All of the items above would limit what now is possible with Perl regexes. Point 3 for instance means patterns can't use quantifiers, alteration or backreferences. The only interesting this about this algorithm is that it'll do "fuzzy" matches, but that's something you often do not want when matching. But if you want to do non-fuzzy matches of simple strings, just doing repeated index calls will give you an O(NM) time bound as well.

Perhaps there's something in this paper that can be used for the Perl regex engine. But I didn't find anything when reading it. Perhaps you can elaborate?

In reply to Re^5: The Dream of a New, Faster Regular Expression Engine by Anonymous Monk
in thread The Dream of a New, Faster Regular Expression Engine by monsieur_champs

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