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From "Michael McCandless (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-6196) Include geo3d package, along with Lucene integration to make it useful
Date Wed, 08 Apr 2015 15:18:12 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14485372#comment-14485372
] 

Michael McCandless commented on LUCENE-6196:
--------------------------------------------

bq. In the meantime it might not be a bad idea putting this in an org.apache.lucene.spatial.geometry
package in the _5x branch to give it some mileage and iterations in the wild until it can
find its permanent home. 

+1, let's just add it here: progress not perfection!

bq.  I had reached out to SIS a few days ago to make them aware of his contribution

Thanks [~nknize]!  Here's the discussion over in our sister project, Apache SIS: http://markmail.org/message/f2k2ykyqisclrzi3

> 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
>         Attachments: 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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