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https://issues.apache.org/jira/browse/LUCENE-7045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-7045:
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Attachment: LUCENE-7045.patch
Here's a patch.
Points get a little api cleanup, we don't need to expose so much guts anymore,
just generally an {{encodeDimension}} and {{decodeDimension}} so that anyone
doing anything custom is able to do it.
{{PointRangeQuery}} is marked abstract and has references to the core points to
remove any confusion.
> remove all encode/decode hooks from PointRangeQuery
> ---------------------------------------------------
>
> Key: LUCENE-7045
> URL: https://issues.apache.org/jira/browse/LUCENE-7045
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Robert Muir
> Attachments: LUCENE-7045.patch
>
>
> In LUCENE-7043 we added several new point types and just gave them static
> methods to generate exact/range/prefix/whatever queries.
> I think we should do the same in general, e.g. for IntPoint:
> {code}
> This field defines static factory methods for creating common queries:
> <ul>
> <li>{@link #newExactQuery newExactQuery()} for matching an exact 1D point.
> <li>{@link #newRangeQuery newRangeQuery()} for matching a 1D range.
> <li>{@link #newMultiRangeQuery newMultiRangeQuery()} for matching
> points/ranges in n-dimensional space.
> </ul>
> {code}
> Then each Point can have types that make sense for it: e.g. multi-dimensional
> range queries don't make sense at all for IP addresses, but prefix query
> does, and polygon/distance queries make sense for LatLonPoint and so on (that
> one is not refactored yet here, followup!)
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