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https://issues.apache.org/jira/browse/LUCENE-7845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16030182#comment-16030182
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David Smiley commented on LUCENE-7845:
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I've reproduced this and boiled it down to a trivial test that fails -- index a
point, search by the same point. There appears to be a bug in
*PackedQuadPrefixTree*... I haven't precisely determined the exact bug but I
suspect it's a bad assumption about mutability of the passed BytesRef; as some
of its methods about it I find highly suspect. I'm tempted to redo most of
PackedQuadPrefixTree.PackedQuadCell so that it doesn't even retain/cache the
byte[]; instead it can compute it only when needed -- in some cases it won't
ever be (thus a performance win).
> spatial RPT optimization when query by point or common date range
> -----------------------------------------------------------------
>
> Key: LUCENE-7845
> URL: https://issues.apache.org/jira/browse/LUCENE-7845
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/spatial-extras
> Reporter: David Smiley
> Assignee: David Smiley
> Fix For: master (7.0)
>
> Attachments: LUCENE_7845_query_by_point_optimization.patch
>
>
> If the query to an RPT index is a 2D point, or if using
> NumerBrangePrefixTreeStrategy / DateRangePrefixTree (Solr DateRangeField) if
> the query is a grid cell (a common date range unit like some particular day),
> then we can do some optimizations, especially if the data is pointsOnly. If
> the data is pointsOnly the strategy can return a TermQuery, if the data isn't
> then we can at least tweak the prefixGridScanLevel. This is motivated by two
> scenarios:
> * indexing polygons and doing lookups by a point (AKA reverse geocoding)
> * indexing date instances and doing date range faceting. Solr's code for this
> has a fast path for a TermQuery, although more is needed beyond this issue to
> get there.
> _This development was funded by the Harvard Center for Geographic Analysis as
> part of the HHypermap project_
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