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From "Hoss Man (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-1316) Avoidable synchronization bottleneck in MatchAlldocsQuery$MatchAllScorer
Date Wed, 25 Jun 2008 18:02:45 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-1316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12608129#action_12608129
] 

Hoss Man commented on LUCENE-1316:
----------------------------------

rather then attempting localized optimizations of individual Query classes, a more generalized
improvements would probably be to change SegmentReader.isDeleted so that instead of the entire
method being synchronized, it first checks if the segment has any deletions, and if not then
enters a synchronized block to check deletedDocs.get(n).

> Avoidable synchronization bottleneck in MatchAlldocsQuery$MatchAllScorer
> ------------------------------------------------------------------------
>
>                 Key: LUCENE-1316
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1316
>             Project: Lucene - Java
>          Issue Type: Bug
>          Components: Query/Scoring
>    Affects Versions: 2.3
>         Environment: All
>            Reporter: Todd Feak
>            Priority: Minor
>         Attachments: MatchAllDocsQuery.java
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> The isDeleted() method on IndexReader has been mentioned a number of times as a potential
synchronization bottleneck. However, the reason this  bottleneck occurs is actually at a higher
level that wasn't focused on (at least in the threads I read).
> In every case I saw where a stack trace was provided to show the lock/block, higher in
the stack you see the MatchAllScorer.next() method. In Solr paricularly, this scorer is used
for "NOT" queries. We saw incredibly poor performance (order of magnitude) on our load tests
for NOT queries, due to this bottleneck. The problem is that every single document is run
through this isDeleted() method, which is synchronized. Having an optimized index exacerbates
this issues, as there is only a single SegmentReader to synchronize on, causing a major thread
pileup waiting for the lock.
> By simply having the MatchAllScorer see if there have been any deletions in the reader,
much of this can be avoided. Especially in a read-only environment for production where you
have slaves doing all the high load searching.
> I modified line 67 in the MatchAllDocsQuery
> FROM:
>   if (!reader.isDeleted(id)) {
> TO:
>   if (!reader.hasDeletions() || !reader.isDeleted(id)) {
> In our micro load test for NOT queries only, this was a major performance improvement.
 We also got the same query results. I don't believe this will improve the situation for indexes
that have deletions. 
> Please consider making this adjustment for a future bug fix release.

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