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https://issues.apache.org/jira/browse/LUCENE-4419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13461548#comment-13461548
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Chris Male commented on LUCENE-4419:
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I really don't see the benefit of randomly generating Shapes. There isn't much
to be revealed with a rectangle that say covers one small part of the pacific
ocean and another rectangle which covers another small part. The number of
possible Shapes is just too massive to ever reveal anything.
What I feel would be better is if we defined Shapes that test particularly
troublesome areas. Datelines, equators, poles. We can also include massive
Shapes and tiny Shapes, circles, points, and whatever else we end up supporting.
Having this standardized Shape suite would be a big benefit to testing all the
Strategys. I don't think it would be particularly difficult to create and once
created, it wouldn't require much maintenance at all.
> Test RecursivePrefixTree indexing non-point data
> ------------------------------------------------
>
> Key: LUCENE-4419
> URL: https://issues.apache.org/jira/browse/LUCENE-4419
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/spatial
> Reporter: David Smiley
>
> RecursivePrefixTreeFilter was modified in ~July 2011 to support spatial
> filtering of non-point indexed shapes. It seems to work when playing with
> the capability but it isn't tested. It really needs to be as this is a major
> feature.
> I imagine an approach in which some randomly generated rectangles are indexed
> and then a randomly generated rectangle is queried. The right answer can be
> calculated brute-force and then compared with the filter. In order to deal
> with shape imprecision, the randomly generated shapes could be generated to
> fit a course grid (e.g. round everything to a 1 degree interval).
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