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https://issues.apache.org/jira/browse/LUCENE-10233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17453801#comment-17453801
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ASF subversion and git services commented on LUCENE-10233:
----------------------------------------------------------

Commit ebee531df7eefeed4f735e86745cf33a55df232f in lucene's branch 
refs/heads/branch_9x from gf2121
[ https://gitbox.apache.org/repos/asf?p=lucene.git;h=ebee531 ]

LUCENE-10233: fix Unit Test TestFixedBitSet#testAndNot (#512)

Co-authored-by: guofeng.my <guofeng...@bytedance.com>

> Store docIds as bitset when leafCardinality = 1 to speed up addAll
> ------------------------------------------------------------------
>
>                 Key: LUCENE-10233
>                 URL: https://issues.apache.org/jira/browse/LUCENE-10233
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: core/codecs
>            Reporter: Feng Guo
>            Priority: Major
>             Fix For: 9.1
>
>         Attachments: SparseFixedBitSet.png
>
>          Time Spent: 3h 50m
>  Remaining Estimate: 0h
>
> In low cardinality points cases, id blocks will usually store doc ids that 
> have the same point value, and {{intersect}} will get into {{addAll}} logic. 
> If we store ids as bitset, and give the IntersectVisitor bulk visiting 
> ability, we can speed up addAll because we can just execute the 'or' logic 
> between the result and the block ids.
> Optimization will be triggered when the following conditions are met at the 
> same time:
>  # doc IDs are sorted strictly
>  # max(docId) - min(docId) <= 16 * pointCount (in order to avoid expanding 
> too much storage)
> I mocked a field that has 10,000,000 docs per value and search it with a 1 
> term PointInSetQuery, the build scorer time decreased from 151ms to 5ms.



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