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https://issues.apache.org/jira/browse/LUCENE-7270?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15269117#comment-15269117
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Karl Wright commented on LUCENE-7270:
-------------------------------------
Works great; now performance on my laptop looks like this:
{code}
ITER 4: 0.75 M hits/sec, 9.21 QPS (3.58 sec for 33 queries), totHits=2693539
ITER 5: 0.76 M hits/sec, 9.29 QPS (3.55 sec for 33 queries), totHits=2693539
ITER 6: 0.76 M hits/sec, 9.26 QPS (3.56 sec for 33 queries), totHits=2693539
ITER 7: 0.75 M hits/sec, 9.18 QPS (3.59 sec for 33 queries), totHits=2693539
ITER 8: 0.74 M hits/sec, 9.03 QPS (3.65 sec for 33 queries), totHits=2693539
ITER 9: 0.76 M hits/sec, 9.28 QPS (3.56 sec for 33 queries), totHits=2693539
{code}
> Use better balanced trees for Geo3d complex polygons
> ----------------------------------------------------
>
> Key: LUCENE-7270
> URL: https://issues.apache.org/jira/browse/LUCENE-7270
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/spatial3d
> Reporter: Karl Wright
> Assignee: Karl Wright
>
> The current tree data structure in GeoComplexPolygon has a lot of weaknesses.
> A better algorithm maybe can be taken from Polygon2D, which basically does
> the following:
> Each node has:
> - low value (which is for that edge alone)
> - max value (which is for that edge and all children)
> Balanced tree building:
> - sort by low value (which is for the individual edge), and use max value as
> tie breaker (which is max for edge and all children)
> - build tree after sorting, picking midpoint and recursively building lesser
> and greater children that way
> Balanced tree traversal (looking for range minValue -> maxValue):
> - Descend the entire tree until the node fails this test:
> if (minValue <= max) { ... }
> So if the minimum value being sought is greater than the max for this edge
> and all children, we stop and don't look at children.
> (Q: does this represent a good split and a targeted range? Maybe... We
> can certainly try it.)
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