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https://issues.apache.org/jira/browse/LUCENE-8757?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16835498#comment-16835498
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Michael McCandless commented on LUCENE-8757:
--------------------------------------------
Whoa, fast iterations over here!
I think there is an important justification for the 2nd criteria (number of
segments in each work unit / slice), which is if you have an index with some
large segments, and then with a long tail of small segments (easily happens if
your machine has substantially CPU concurrency and you use multiple threads),
since there is a fixed cost for visiting each segment, if you put too many
small segments into one work unit, those fixed costs multiply and that one work
unit can become too slow even though it's not actually going to visit too many
documents.
I think we should keep it?
Re: the choice of the constants – I ran some performance tests quite a while
ago on our production data/queries and a machine with sizable concurrency
({{i3.16xlarge}}) and found those two constants to be a sweet spot at the time.
But let's also remember: this is simply a default segment -> work units
assignment, and expert users can always continue to override. Good defaults
are important ;)
> Better Segment To Thread Mapping Algorithm
> ------------------------------------------
>
> Key: LUCENE-8757
> URL: https://issues.apache.org/jira/browse/LUCENE-8757
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Atri Sharma
> Priority: Major
> Attachments: LUCENE-8757.patch, LUCENE-8757.patch, LUCENE-8757.patch
>
>
> The current segments to threads allocation algorithm always allocates one
> thread per segment. This is detrimental to performance in case of skew in
> segment sizes since small segments also get their dedicated thread. This can
> lead to performance degradation due to context switching overheads.
>
> A better algorithm which is cognizant of size skew would have better
> performance for realistic scenarios
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