This is a small library which implements the Aho-Corasick string search algorithm.
It's coded in pure PHP and self-contained in a single file,
It's useful when you want to search for many keywords all at once. It's faster
than simply calling
strpos many times, and it's much faster than calling
preg_match_all with something like
I originally wrote this to use with F5Bot, since it's searching for the same set of a few thousand keywords over and over again.
It's designed to be really easy to use. You create the
add your keywords, call
finalize() to finish setup, and then search your
text. It'll return an array of the keywords found and their position in the
Create, add keywords, and
require('ahocorasick.php'); $ac = new ahocorasick(); $ac->add_needle('art'); $ac->add_needle('cart'); $ac->add_needle('ted'); $ac->finalize();
search() to preform the actual search. It'll return an array of matches.
$found = $ac->search('a carted mart lot one blue ted'); print_r($found);
$found will be an array with these elements:
 => Array (  => cart  => 2 )  => Array (  => art  => 3 )  => Array (  => ted  => 5 )  => Array (  => art  => 10 )  => Array (  => ted  => 27 )
example.php for a complete example.
A simple benchmarking program is included which compares various alternatives.
$ php benchmark.php Loaded 3000 keywords to search on a text of 19377 characters. Searching with strpos... time: 0.38440799713135 Searching with preg_match... time: 5.6817619800568 Searching with preg_match_all... time: 5.0735609531403 Searching with aho corasick... time: 0.054709911346436
Note: the regex solutions are actually slightly broken. They won't work if you have a keyword that is a prefix or suffix of another. But hey, who really uses regex when it's not slightly broken?
Also keep in mind that building the search tree (the
finalize() calls) takes time. So you'll get the best speed-up if you're
reusing the same keywords and calling
search() many times.