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https://issues.apache.org/jira/browse/LUCENE-3972?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13252581#comment-13252581
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Martijn van Groningen commented on LUCENE-3972:
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bq. If you have fewer unique groups (and as the number of docs collected goes
up), I think the current impl should be faster...?
This is true. I ran a few tests on an index containing 10M docs:
||Run||Num unique groups||Perf. collector in patch||Perf. committed collector||
|1|~65000|892 ms|132 ms|
|2|~645000|1183 ms|878 ms|
|3|~953000|1291 ms|1517 ms|
|4|~1819000|1783 ms|3762 ms|
|5|~3332000|2703 ms|4882 ms|
|6|~6668000|4840 ms|18989 ms|
All the times are the average over 10 executions with a match all query.
bq. the time is likely dominated by re-ord'ing for each segment?
During run 4 I noticed that 3470 ms of the total 3762 ms was spend on
re-ord'ing groups for segments.
It seems that the implementation in the patch is only usable if a search yields
many unique groups as result.
> Improve AllGroupsCollector implementations
> ------------------------------------------
>
> Key: LUCENE-3972
> URL: https://issues.apache.org/jira/browse/LUCENE-3972
> Project: Lucene - Java
> Issue Type: Improvement
> Components: modules/grouping
> Reporter: Martijn van Groningen
> Attachments: LUCENE-3972.patch, LUCENE-3972.patch
>
>
> I think that the performance of TermAllGroupsCollectorm,
> DVAllGroupsCollector.BR and DVAllGroupsCollector.SortedBR can be improved by
> using BytesRefHash to store the groups instead of an ArrayList.
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