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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Smiley updated LUCENE-6196:
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Attachment: LUCENE-6196_Geo3d.patch
Attached is a patch file that includes this code in the spatial module under
this package: org.apache.lucene.spatial.spatial4j.geo3d.
I added Geo3dShape to org.apache.lucene.spatial.spatial4j. I also added a
Geo3dRptTest class which extends RandomSpatialOpStrategyTestClass configured to
use the new CompositeSpatialStrategy, and with random indexed rectangles.
Right now to keep things simple, the query shapes are always triangles created
via Geo3d. I quickly encountered a failure and I minimized it to a simple
test; see testTriangleDisjointRect().
I added some toString()'s to a few classes to aid debugging but not all of
them. To those same classes I added hashCode -- but again, almost all of these
classes should have these things.
I put the code up in ReviewBoard:
https://reviews.apache.org/r/33114/
I've only used that tool a little so I'm not sure if it's possible for you to
upload more diff's, Karl, or wether only the creator (me) can. If that's a
problem; you could simply re-create. I couldn't add you as a Reviewer because
you don't seem to be in the system.
> 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: 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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