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Date: Fri, 2 Sep 2016 14:32:20 +0000 (UTC)
From: "Mikhail Khludnev (JIRA)" <jira@apache.org>
To: dev@lucene.apache.org
Message-ID: <JIRA.12695083.1392327090000.479386.1472826740662@Atlassian.JIRA>
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Subject: [jira] [Commented] (SOLR-5725) Efficient facets without counts for
 enum method
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archived-at: Fri, 02 Sep 2016 14:32:22 -0000


    [ https://issues.apache.org/jira/browse/SOLR-5725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15458688#comment-15458688 ] 

Mikhail Khludnev commented on SOLR-5725:
----------------------------------------

ok. This line is better, I put it in. 
Is it worth to wait for more review feedback, or it's ready to be committed? 

> 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
>
>
> 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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