[ https://issues.apache.org/jira/browse/LUCENE-7268?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15266228#comment-15266228 ] Adrien Grand commented on LUCENE-7268: -------------------------------------- I did some testing and the difference seems to be due to how our impl in ArrayUtil tries to save memory: it uses a hard-coded {{array.length/64}} as the maximum size of the temporary Object[] that it may use for merging. If it needs less memory than that, it will use this temporary Object[], but for larger merges it will switch to an in-place merge routine that is much slower (the same logic that InPlaceMergeSorter uses). I get the following build times with the patch: || Arrays.sort | 222ms | || ArrayUtil.timSort - max temp storage = array.length | 262ms | || ArrayUtil.timSort - max temp storage = array.length/64 (like in master) | 383ms | || ArrayUtil.timSort - max temp storage = 0 | 444ms | > Remove ArrayUtil.timSort? > ------------------------- > > Key: LUCENE-7268 > URL: https://issues.apache.org/jira/browse/LUCENE-7268 > Project: Lucene - Core > Issue Type: Improvement > Reporter: Robert Muir > Attachments: LUCENE-7268_mods.patch > > > Is there some workload where our timSort is better than the JDK one? Should we just remove ours if its slower? > Not that its a great test, but i switched Polygon2D edge sorting (just the one where it says "sort the edges then build a balanced tree from them") from Arrays.sort to ArrayUtil.timSort and was surprised when performance was much slower for an enormous polygon (http://people.apache.org/~mikemccand/geobench/cleveland.poly.txt.gz) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org For additional commands, e-mail: dev-help@lucene.apache.org