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https://issues.apache.org/jira/browse/LUCENE-10274?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17528445#comment-17528445
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Marc D'Mello commented on LUCENE-10274:
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Created a basic unoptimized initial commit just linear scanning each hyper
rectangle. This is mostly a draft PR just to sketch out the API:
https://github.com/apache/lucene/pull/841
> Implement "hyperrectangle" faceting
> -----------------------------------
>
> Key: LUCENE-10274
> URL: https://issues.apache.org/jira/browse/LUCENE-10274
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/facet
> Reporter: Greg Miller
> Priority: Minor
> Time Spent: 10m
> Remaining Estimate: 0h
>
> I'd be interested in expanding Lucene's faceting capabilities to aggregate a
> point field against a set of user-provided n-dimensional
> [hyperrectangles|https://en.wikipedia.org/wiki/Hyperrectangle]. This would be
> a generalization of {{LongRangeFacets}} / {{DoubleRangeFacets}} from a single
> dimension to n-dimensions, and would compliment {{PointRangeQuery}} well,
> providing the ability to facet ahead of "drilling down" on such a query.
> As a motivating use-case, imagine searching against movie documents that
> contain a 2-dimensional point storing "awards" the movie has received. One
> dimension encodes the year the award was won, while the other encodes the
> type of award as an ordinal. For example, the film "Nomadland" won the
> "Academy Awards Best Picture" award in 2021. Imagine providing a
> two-dimensional refinement to users allowing them to filter by the
> combination of award + year in a single action (e.g., using
> {{{}PointRangeQuery{}}}) and needing to get facet counts for these
> combinations ahead of time.
> Curious if the community thinks this functionality would be useful. Any
> thoughts?
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