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Posted to dev@lucene.apache.org by "David Smiley (JIRA)" <ji...@apache.org> on 2015/05/06 16:37:01 UTC
[jira] [Resolved] (LUCENE-6196) Include geo3d package, along with
Lucene integration to make it useful
[ https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
David Smiley resolved LUCENE-6196.
----------------------------------
Resolution: Fixed
Fix Version/s: 5.2
Committed. Thanks again for your contribution Karl! On the Spatial4j side I'll be adding some changes to get this in with more integration (e.g. tie-in to WKT parse & SpatialContext). I'm not sure if it'll be the next release or the one after.
> Include geo3d package, along with Lucene integration to make it useful
> ----------------------------------------------------------------------
>
> Key: LUCENE-6196
> URL: https://issues.apache.org/jira/browse/LUCENE-6196
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/spatial
> Reporter: Karl Wright
> Assignee: David Smiley
> Fix For: 5.2
>
> Attachments: LUCENE-6196-additions.patch, LUCENE-6196-fixes.patch, LUCENE-6196_Geo3d.patch, ShapeImpl.java, geo3d-tests.zip, geo3d.zip
>
>
> I would like to explore contributing a geo3d package to Lucene. This can be used in conjunction with Lucene search, both for generating geohashes (via spatial4j) for complex geographic shapes, as well as limiting results resulting from those queries to those results within the exact shape in highly performant ways.
> The package uses 3d planar geometry to do its magic, which basically limits computation necessary to determine membership (once a shape has been initialized, of course) to only multiplications and additions, which makes it feasible to construct a performant BoostSource-based filter for geographic shapes. The math is somewhat more involved when generating geohashes, but is still more than fast enough to do a good job.
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