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https://issues.apache.org/jira/browse/SOLR-5725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15449219#comment-15449219
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David Smiley commented on SOLR-5725:
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I've never heard of {{facet.zeros}}, so probably not a big concern.
bq. I'm afraid users will try to combine it with fc,fcs,uif, that's why I
prefer to switch it as method.
I think it's okay to return an error when a particular facet.method's
requirements aren't met, even though we don't normally do that. But I think
it's bad to have facet.method otherwise have a visible effect on the response.
We already overrule what the user specifies in facet.method when we have to.
This can be no different... set a proposed {{facet.count=false}} and then
facet.method is ignored because we're going to effectively do that exactly one
way.
> 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
>
>
> 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.
> 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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