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From "Mark Miller (Commented) (JIRA)" <>
Subject [jira] [Commented] (SOLR-3104) Bad performance with distributed search when sort contains relevancy queries
Date Wed, 08 Feb 2012 16:28:59 GMT


Mark Miller commented on SOLR-3104:

bq. Shouldn't we commit this fix on 3.x as well...?

+1 - though it doesn't apply cleanly to 3.x, seems easy enough to get this to work - I can
probably take a crack at it.

Probably should add a changes entry as well.
> Bad performance with distributed search when sort contains relevancy queries
> ----------------------------------------------------------------------------
>                 Key: SOLR-3104
>                 URL:
>             Project: Solr
>          Issue Type: Improvement
>          Components: search
>    Affects Versions: 3.6
>            Reporter: XJ Wang
>            Priority: Critical
>             Fix For: 4.0
>         Attachments: SOLR-3104.patch
> So I found this issue when trying out distributed search with solr 3.5 and noticed big
performance degradation for some queries comparing to the single box search.
> After some query analysis and comparison, it turns out that shard queries with "fsv=true"
are much slower than the same queries w/o "fsv=true". Some examples are like 1200ms vs 200ms
(start=0, rows=30, hits<100).
> From the discussions with Yonik Seeley on solr mailing list, it may due to fact that
I'm using lot of relevancy queries in sorting. But Solr is not retrieving those sort values
efficiently .
> This is critical for us and prevents us from moving to distributed search. I believe
users like our scenarios will also suffer from this issue. Any patch/idea is welcomed.   
> Quote from Yonik Seeley on solr-user mailing list:
> "OK, so basically it's slow because functions with embedded relevancy
> queries are "forward only" - if you request the value for a docid
> previous to the last, we need to reboot the query (re-weight, ask for
> the scorer, etc).  This means that for your 30 documents, that will
> require rebooting the query about 15 times (assuming that roughly half
> of the time the next docid will be less than the previous one).
> Unfortunately there's not much you can do externally... we need to
> implement optimizations at the Solr level for this."

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