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Posted to dev@lucene.apache.org by "Ignacio Vera (JIRA)" <ji...@apache.org> on 2019/02/07 07:21:00 UTC
[jira] [Resolved] (LUCENE-8673) Use radix partitioning when merging
dimensional points
[ https://issues.apache.org/jira/browse/LUCENE-8673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ignacio Vera resolved LUCENE-8673.
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Resolution: Fixed
Assignee: Ignacio Vera
Fix Version/s: 8.x
master (9.0)
> Use radix partitioning when merging dimensional points
> ------------------------------------------------------
>
> Key: LUCENE-8673
> URL: https://issues.apache.org/jira/browse/LUCENE-8673
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Ignacio Vera
> Assignee: Ignacio Vera
> Priority: Major
> Fix For: master (9.0), 8.x
>
> Attachments: Geo3D.png, Geo3D.png, Geo3D.png, LatLonPoint.png, LatLonPoint.png, LatLonPoint.png, LatLonShape.png, LatLonShape.png, LatLonShape.png
>
> Time Spent: 5h 20m
> Remaining Estimate: 0h
>
> Following the advise of [~jpountz] in LUCENE-8623I have investigated using radix selection when merging segments instead of sorting the data at the beginning. The results are pretty promising when running Lucene geo benchmarks:
>
> ||Approach||Index time (sec): Dev||Index Time (sec): Base||Index Time: Diff||Force merge time (sec): Dev||Force Merge time (sec): Base||Force Merge Time: Diff||Index size (GB): Dev||Index size (GB): Base||Index Size: Diff||Reader heap (MB): Dev||Reader heap (MB): Base||Reader heap: Diff
> |points|241.5s|235.0s| 3%|157.2s|157.9s|-0%|0.55|0.55| 0%|1.57|1.57| 0%|
> |shapes|416.1s|650.1s|-36%|306.1s|603.2s|-49%|1.29|1.29| 0%|1.61|1.61| 0%|
> |geo3d|261.0s|360.1s|-28%|170.2s|279.9s|-39%|0.75|0.75| 0%|1.58|1.58| 0%|
>
> edited: table formatting to be a jira table
>
> In 2D the index throughput is more or less equal but for higher dimensions the impact is quite big. In all cases the merging process requires much less disk space, I am attaching plots showing the different behaviour and I am opening a pull request.
>
>
>
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