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https://issues.apache.org/jira/browse/SOLR-5725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15470189#comment-15470189
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ASF subversion and git services commented on SOLR-5725:
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Commit ff69d14868555c43708823df23c90abd58a14d86 in lucene-solr's branch
refs/heads/apiv2 from [~mkhludnev]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=ff69d14 ]
SOLR-5725: facet.exists=true caps counts by 1 to make facet.method=enum
faster.
> Efficient facets without counts for enum method
> -----------------------------------------------
>
> Key: SOLR-5725
> URL: https://issues.apache.org/jira/browse/SOLR-5725
> Project: Solr
> Issue Type: Improvement
> Components: search
> Reporter: Alexey Kozhemiakin
> Assignee: Mikhail Khludnev
> Fix For: master (7.0), 6.3
>
> Attachments: SOLR-5725-5x.patch, SOLR-5725-master.patch,
> SOLR-5725.patch, SOLR-5725.patch, SOLR-5725.patch, SOLR-5725.patch,
> SOLR-5725.patch, SOLR-5725.patch, SOLR-5725.patch,
> facet.limit=0&facet.missing=true discrepancy between cloud and non-distr.txt
>
>
> h1. UPD: Specification
> To cap facet counts by 1 specify {{facet.exists=true}}. It can be used with
> {{facet.method=enum}} or when it's omitted. It can be used only on non-trie
> fields i.e. strings. It may speed up facet counting on large indices and/or
> high-cardinality facet values..
> h3. Shot version:
> This improves performance for facet.method=enum when it's enough to know that
> facet count>0, for example when you it's when you dynamically populate
> filters on search form. New method checks if two bitsets intersect instead of
> counting intersection size.
> h3.Long version:
> We have a dataset containing hundreds of millions of records, we facet by
> dozens of fields with many of facet-excludes and have relatively small number
> of unique values in fields, around thousands.
> Before executing search, users work with "advanced search" form, our goal is
> to populate dozens of filters with values which are applicable with other
> selected values, so basically this is a use case for facets with mincount=1,
> but without need in actual counts.
> Our performance tests showed that facet.method=enum works much better than
> fc\fcs, probably due to a specific ratio of "docset"\"unique terms count".
> For example average execution of query time with method fc=1500ms, fcs=2600ms
> and with enum=280ms. Profiling indicated the majority time for enum was spent
> on intersecting docsets.
> Hers's a patch that introduces an extension to facet calculation for
> method=enum. Basically it uses docSetA.intersects(docSetB) instead of
> docSetA. intersectionSize (docSetB).
> As a result we were able to reduce our average query time from 280ms to 60ms.
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