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https://issues.apache.org/jira/browse/SOLR-10528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kensho Hirasawa updated SOLR-10528:
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Attachment: SOLR-10528.patch
I attached a new patch.
I removed almost all limitations from the last patch.
The only limitation is that this implementation cannot handle TrieDateField
when both start and end are not specified.
I think tests are not sufficient still, and so I am going to add tests later.
(there are many corner cases…)
Also, I have a few concerns and I want some comments or advices on them.
(Of course any comments on other points are welcome.)
First, I wrote almost all functions in the one class, FacetRangeProcessorByDV,
but this may not be good design.
Secondly, the range facet by DV supports open end range (start == null || end
== null) but it is difficult to test open end range facets in
TestJsonFacets.testStats because the original range facet cannot support open
end range inherently. Though I wrote the tests by limiting executions only when
method = dv, I wonder if there are any better ways.
> Use docvalue for range faceting in JSON facet API
> -------------------------------------------------
>
> Key: SOLR-10528
> URL: https://issues.apache.org/jira/browse/SOLR-10528
> Project: Solr
> Issue Type: Improvement
> Components: Facet Module
> Affects Versions: 6.5
> Reporter: Kensho Hirasawa
> Priority: Minor
> Attachments: SOLR-10528.patch, SOLR-10528.patch
>
>
> Range faceting in JSON facet API has only one implementation. In the
> implementation, all buckets are allocated and then range queries are executed
> for all the buckets. Therefore, memory usage and computational cost of range
> facet can be very high if range is wide and gap is narrow.
> I think range faceting in JSON facet should have the implementation which
> uses DocValues instead of inverted indices. By scanning DocValues, we can
> execute range facets much more efficiently especially when the number of
> buckets is large.
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