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https://issues.apache.org/jira/browse/LUCENE-8396?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16544332#comment-16544332
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Nicholas Knize commented on LUCENE-8396:
----------------------------------------
Test Failure....
{code}
[junit4] 2> NOTE: reproduce with: ant test
-Dtestcase=TestLatLonShapeQueries -Dtests.method=testRandomMedium
-Dtests.seed=70F032E1B960036E -Dtests.multiplier=3 -Dtests.slow=true
-Dtests.badapples=true -Dtests.locale=th -Dtests.timezone=US/Eastern
-Dtests.asserts=true -Dtests.file.encoding=UTF-8
{code}
{code}
[junit4] FAILURE 24.3s J1 | TestLatLonShapeQueries.testRandomMedium <<<
[junit4] > Throwable #1: java.lang.AssertionError: wrong hit (first of
possibly more):
[junit4] > FAIL: id=7542 should match but did not
[junit4] > query=LatLonShapeBoundingBoxQuery:
field=shape:Rectangle(lat=0.0 TO 0.0 lon=8.381903171539307E-8 TO
90.07557132281363) docID=9514
[junit4] > polygon=[-4.190951585769653E-8, 0.0] [89.99999995809048,
0.0] [89.99999995809048, 179.99999991618097] [-4.190951585769653E-8, 0.0]
[junit4] > deleted?=false rect=Rectangle(0.0 TO 0.0
lon=8.381903171539307E-8 TO 90.07557132281363)
[junit4] > at
__randomizedtesting.SeedInfo.seed([70F032E1B960036E:CD2E0549F8056008]:0)
[junit4] > at
org.apache.lucene.document.TestLatLonShapeQueries.verifyRandomBBoxes(TestLatLonShapeQueries.java:263)
[junit4] > at
org.apache.lucene.document.TestLatLonShapeQueries.verify(TestLatLonShapeQueries.java:134)
[junit4] > at
org.apache.lucene.document.TestLatLonShapeQueries.doTestRandom(TestLatLonShapeQueries.java:130)
[junit4] > at
org.apache.lucene.document.TestLatLonShapeQueries.testRandomMedium(TestLatLonShapeQueries.java:102)
[junit4] > at java.lang.Thread.run(Thread.java:748)
[junit4] 2> NOTE: leaving temporary files on disk at:
/home/jenkins/workspace/Lucene-Solr-BadApples-master-Linux/lucene/build/sandbox/
{code}
> Add Points Based Shape Indexing
> -------------------------------
>
> Key: LUCENE-8396
> URL: https://issues.apache.org/jira/browse/LUCENE-8396
> Project: Lucene - Core
> Issue Type: New Feature
> Reporter: Nicholas Knize
> Priority: Major
> Attachments: LUCENE-8396.patch, LUCENE-8396.patch, polyWHole.png,
> tessellatedPoly.png
>
>
> I've been tinkering with this for a while and would like to solicit some
> feedback. I'd like to introduce a new shape field based on the BKD/Points
> codec to bring much of the Points based performance improvements to the shape
> indexing and search usecase. Much like the existing shape indexing in
> {{spatial-extras}} the shape will be decomposed into smaller parts, but
> instead of decomposing into quad cells (which have the drawback of precision
> accuracy and sheer volume of terms) I'd like to explore decomposing the
> shapes into a triangular mesh; similar to gaming and computer graphics. Not
> only does this approach reduce the number of terms, but it has the added
> benefit of better accuracy (precision is based on the index encoding
> technique instead of the spatial resolution of the quad cell).
> For better clarity, consider the following illustrations (of a polygon in a 1
> degree x 1 degree spatial area). The first is using the quad tree technique
> applied in the existing inverted index. The second is using a triangular mesh
> decomposition as used by popular OpenGL and javascript rendering systems
> (such as those used by mapbox).
> !polyWHole.png!
> Decomposing this shape using a quad tree results in 1,105,889 quad terms at 3
> meter spatial resolution.
> !tessellatedPoly.png!
>
> Decomposing using a triangular mesh results in 8 triangles at the same
> resolution as {{encodeLat/Lon}}.
> The decomposed triangles can then be encoded as a 6 dimensional POINT and
> queries are implemented using the computed relations against these triangles
> (similar to how its done with the inverted index today).
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