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https://issues.apache.org/jira/browse/LUCENE-10196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17437861#comment-17437861
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Adrien Grand commented on LUCENE-10196:
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[~broustant] Do you know if i similar improvement can be made to IntroSelector?
IntroSelector is one of the bottlenecks of this benchmark:
[http://people.apache.org/~mikemccand/geobench.html#search-polyRussia|http://people.apache.org/~mikemccand/geobench.html#search-polyRussia.],
which spends significant time converting the Russia polygon into a
ComponentTree (see ComponentTree#createTree).
> Improve IntroSorter with 3-ways partitioning
> --------------------------------------------
>
> Key: LUCENE-10196
> URL: https://issues.apache.org/jira/browse/LUCENE-10196
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Bruno Roustant
> Priority: Major
> Fix For: 8.11
>
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> I added a SorterBenchmark to evaluate the performance of the various Sorter
> implementations depending on the strategies defined in BaseSortTestCase
> (random, random-low-cardinality, ascending, descending, etc).
> By changing the implementation of the IntroSorter to use a 3-ways
> partitioning, we can gain a significant performance improvement when sorting
> low-cardinality lists, and with additional changes we can also improve the
> performance for all the strategies.
> Proposed changes:
> - Sort small ranges with insertion sort (instead of binary sort).
> - Select the quick sort pivot with medians.
> - Partition with the fast Bentley-McIlroy 3-ways partitioning algorithm.
> - Replace the tail recursion by a loop.
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