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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14300945#comment-14300945
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Karl Wright edited comment on LUCENE-6196 at 2/2/15 7:02 AM:
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bq. I know on the dev list you mentioned you only want to contribute this to
Lucene but you didn't say the reason. I'm guessing it's so that you needn't
re-ask permission from your employer, whom you may have agreements for a
limited number of specific open-source projects.
That is the case.
bq. The license permits it to be incorporated into any other ASL project (e.g.
Spatial4j) with ease.
Yes, I know that. Spatial4j, however, seemed at its core to have a much
different set of capabilities in mind. Spatial4j is totally wired into a
latitude/longitude bounding box geometry, and most of the methods required by
Shape objects have no implementation in a geo3d world. The geo3d world has
exactly what is needed for lucene searching, and no more. So they are not
great fits to one another, IMHO.
was (Author: kwri...@metacarta.com):
bq. I know on the dev list you mentioned you only want to contribute this to
Lucene but you didn't say the reason. I'm guessing it's so that you needn't
re-ask permission from your employer, whom you may have agreements for a
limited number of specific open-source projects.
That is the case.
> 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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