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Improve Ferret engine indexing performance for large blocks of text

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Summary:
See PHI87. Ref T12974. Currently, we do a lot more work here than we need to: we call `phutil_utf8_strtolower()` on each token, but can do it once at the beginning on the whole block.

Additionally, since ngrams don't care about order, we only need to convert unique tokens into ngrams. This saves us some `phutil_utf8v()`. These calls can be slow for large inputs.

Test Plan:
  - Created a ~4MB task description.
  - Ran `bin/search index Txxx --profile ...` to profile indexing performance before and after the change.
  - Saw total runtime drop form 38s to 9s.
  - Before: <https://secure.phabricator.com/xhprof/profile/PHID-FILE-wiht5d7lkyazaywwxovw/>
  - After: <https://secure.phabricator.com/xhprof/profile/PHID-FILE-efxv56q2hulr6kjrxbx6/>

Reviewers: amckinley

Reviewed By: amckinley

Maniphest Tasks: T12974

Differential Revision: https://secure.phabricator.com/D18647
This commit is contained in:
epriestley 2017-09-25 19:11:35 -07:00
parent 9f11f310f8
commit a1d9a2389d
1 changed files with 10 additions and 3 deletions
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13
src/applications/search/ferret/PhabricatorFerretEngine.php
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@ -88,16 +88,23 @@ abstract class PhabricatorFerretEngine extends Phobject {
}
private function getNgramsFromString($value, $as_term) {
$value = phutil_utf8_strtolower($value);
$tokens = $this->tokenizeString($value);
$ngrams = array();
// First, extract unique tokens from the string. This reduces the number
// of `phutil_utf8v()` calls we need to make if we are indexing a large
// corpus with redundant terms.
$unique_tokens = array();
foreach ($tokens as $token) {
$token = phutil_utf8_strtolower($token);
if ($as_term) {
$token = ' '.$token.' ';
}
$unique_tokens[$token] = true;
}
$ngrams = array();
foreach ($unique_tokens as $token => $ignored) {
$token_v = phutil_utf8v($token);
$len = (count($token_v) - 2);
for ($ii = 0; $ii < $len; $ii++) {