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https://issues.apache.org/jira/browse/LUCENE-8126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16361161#comment-16361161
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Adrien Grand commented on LUCENE-8126:
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These are significant speedups and reduction of the index size! Do we have any 
clue as to what with S2 triggers these improvements? The benchmark description 
says about the polygons that they are "all distributed mainly on the south 
hemisphere of the sphere", does it matter or would one get similar speedups for 
northern polygons?

> Spatial prefix tree based on S2 geometry
> ----------------------------------------
>
>                 Key: LUCENE-8126
>                 URL: https://issues.apache.org/jira/browse/LUCENE-8126
>             Project: Lucene - Core
>          Issue Type: New Feature
>          Components: modules/spatial-extras
>            Reporter: Ignacio Vera
>            Assignee: Ignacio Vera
>            Priority: Major
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> Hi [~dsmiley],
> I have been working on a prefix tree based on goggle S2 geometry 
> (https://s2geometry.io/) to be used mainly with Geo3d shapes with very 
> promising results, in particular for complex shapes (e.g polygons). Using 
> this pixelization scheme reduces the size of the index, improves the 
> performance of the queries and reduces the loading time for non-point shapes. 
> If you are ok with this contribution and before providing any code I would 
> like to understand what is the correct/prefered approach:
> 1) Add new depency to the S2 library 
> (https://mvnrepository.com/artifact/io.sgr/s2-geometry-library-java). It has 
> Apache 2.0 license so it should be ok.
> 2) Create a utility class with all methods necessary to navigate the S2 tree 
> and create shapes from S2 cells (basically port what we need from the library 
> into Lucene).
> What do you think?



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