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https://issues.apache.org/jira/browse/LUCENE-8496?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16640579#comment-16640579
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Lucene/Solr QA commented on LUCENE-8496:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 6s{color}
| {color:red} LUCENE-8496 does not apply to master. Rebase required? Wrong
Branch? See
https://wiki.apache.org/lucene-java/HowToContribute#Contributing_your_work for
help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | LUCENE-8496 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12942614/LUCENE-8496.patch |
| Console output |
https://builds.apache.org/job/PreCommit-LUCENE-Build/102/console |
| Powered by | Apache Yetus 0.7.0 http://yetus.apache.org |
This message was automatically generated.
> Explore selective dimension indexing in BKDReader/Writer
> --------------------------------------------------------
>
> Key: LUCENE-8496
> URL: https://issues.apache.org/jira/browse/LUCENE-8496
> Project: Lucene - Core
> Issue Type: New Feature
> Reporter: Nicholas Knize
> Priority: Major
> Attachments: LUCENE-8496.patch, LUCENE-8496.patch, LUCENE-8496.patch,
> LUCENE-8496.patch, LUCENE-8496.patch, LatLonShape_SelectiveEncoding.patch
>
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> This issue explores adding a new feature to BKDReader/Writer that enables
> users to select a fewer number of dimensions to be used for creating the BKD
> index than the total number of dimensions specified for field encoding. This
> is useful for encoding dimensional data that is used for interpreting the
> encoded field data but unnecessary (or not efficient) for creating the index
> structure. One such example is {{LatLonShape}} encoding. The first 4
> dimensions may be used to to efficiently search/index the triangle using its
> precomputed bounding box as a 4D point, and the remaining dimensions can be
> used to encode the vertices of the tessellated triangle. This causes BKD to
> act much like an R-Tree for shape data where search is distilled into a 4D
> point (instead of a more expensive 6D point) and the triangle is encoded
> using a portion of the remaining (non-indexed) dimensions. Fields that use
> the full data range for indexing are not impacted and behave as they normally
> would.
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