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From "David Smiley (JIRA)" <>
Subject [jira] [Commented] (SOLR-5725) Efficient facets without counts for enum method
Date Fri, 02 Sep 2016 14:39:20 GMT


David Smiley commented on SOLR-5725:

bq.  it's ready to be committed?

I think so.  You got at least one review of the final patch which is pretty good -- it seems
most patches get none.  And the previous similar patch has existed for a bit longer and got
someone else's eyes on it.  If someone jumps in for more feedback after your commit; it's
not set in stone for more changes.

> Efficient facets without counts for enum method
> -----------------------------------------------
>                 Key: SOLR-5725
>                 URL:
>             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
> 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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