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Improve performance of Ferret engine ngram extraction, particularly for large input strings
Summary: See PHI87. Ref T12974. The `array_slice()` method of splitting the string apart can perform poorly for large input strings. I think this is mostly just the large number of calls plus building and returning an array being not entirely trivial. We can just use `substr()` instead, as long as we're a little bit careful about keeping track of where we're slicing the string if it has UTF8 characters. Test Plan: - Created a task with a single, unbroken blob of base64 encoded data as the description, roughly 100KB long. - Saw indexing performance improve from ~6s to ~1.5s after patch. - Before: https://secure.phabricator.com/xhprof/profile/PHID-FILE-nrxs4lwdvupbve5lhl6u/ - After: https://secure.phabricator.com/xhprof/profile/PHID-FILE-6vs2akgjj5nbqt7yo7ul/ Reviewers: amckinley Reviewed By: amckinley Maniphest Tasks: T12974 Differential Revision: https://secure.phabricator.com/D18649
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2 changed files with 48 additions and 4 deletions
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@ -106,11 +106,25 @@ abstract class PhabricatorFerretEngine extends Phobject {
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$ngrams = array();
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foreach ($unique_tokens as $token => $ignored) {
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$token_v = phutil_utf8v($token);
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$len = (count($token_v) - 2);
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for ($ii = 0; $ii < $len; $ii++) {
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$ngram = array_slice($token_v, $ii, 3);
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$ngram = implode('', $ngram);
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$length = count($token_v);
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// NOTE: We're being somewhat clever here to micro-optimize performance,
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// especially for very long strings. See PHI87.
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$token_l = array();
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for ($ii = 0; $ii < $length; $ii++) {
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$token_l[$ii] = strlen($token_v[$ii]);
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}
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$ngram_count = $length - 2;
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$cursor = 0;
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for ($ii = 0; $ii < $ngram_count; $ii++) {
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$ngram_l = $token_l[$ii] + $token_l[$ii + 1] + $token_l[$ii + 2];
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$ngram = substr($token, $cursor, $ngram_l);
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$ngrams[$ngram] = $ngram;
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$cursor += $token_l[$ii];
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}
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}
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@ -24,4 +24,34 @@ final class PhabricatorFerretEngineTestCase
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}
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}
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public function testTermNgramExtraction() {
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$snowman = "\xE2\x98\x83";
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$map = array(
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'a' => array(' a '),
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'ab' => array(' ab', 'ab '),
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'abcdef' => array(' ab', 'abc', 'bcd', 'cde', 'def', 'ef '),
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"{$snowman}" => array(" {$snowman} "),
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"x{$snowman}y" => array(
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" x{$snowman}",
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"x{$snowman}y",
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"{$snowman}y ",
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),
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"{$snowman}{$snowman}" => array(
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" {$snowman}{$snowman}",
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"{$snowman}{$snowman} ",
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),
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);
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$engine = new ManiphestTaskFerretEngine();
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foreach ($map as $input => $expect) {
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$actual = $engine->getTermNgramsFromString($input);
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$this->assertEqual(
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$actual,
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$expect,
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pht('Term ngrams for: %s.', $input));
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}
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}
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}
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