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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14301675#comment-14301675
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Karl Wright commented on LUCENE-6196:
-------------------------------------
bq. I theoretically don't need anything from you for this to have a home in
Spatial4j but I'll let you know otherwise – e.g. a simple attestation that you
had permission from your employer to license it as-such.
Are you asking me yet again whether I had permission to contribute this?
The permission I have from my employer is a long-granted corporate permission
to contribute to Lucene and Solr. My employer is aware that any and all code
contributed to this project will be licensed with the Apache 2 license. There
are, of course, certain restrictions as to exactly *what* can be contributed,
but I do not believe this geospatial library violates any of those restrictions.
I hope this is sufficient; you are unlikely to get more detail.
> 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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