[jira] [Updated] (SOLR-12674) RollupStream should not use the HashQueryParser for 1 worker

["Varun Thacker (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SOLR-12674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Varun Thacker updated SOLR-12674:
---------------------------------
    Attachment: SOLR-12674.patch

> RollupStream should not use the HashQueryParser for 1 worker
> ------------------------------------------------------------
>
>                 Key: SOLR-12674
>                 URL: https://issues.apache.org/jira/browse/SOLR-12674
>             Project: Solr
>          Issue Type: Bug
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Varun Thacker
>            Priority: Major
>         Attachments: SOLR-12674.patch
>
>
> Let's say I have a dataset of a 100M document
> After applying a filter the number of documents found would be 5k so it's tiny.
> If I do a search and a rollup stream the query returns in the 200ms range.
> But if by mistake I add the "partitionKeys" param to the search stream the hash query parser is invoked which runs on the entire document set and the query time spikes up to 7 seconds. 
> If we aren't providing a parallel stream we should ignore the partitionKeys param
> Sample Query:
> {code:java}
> rollup(search(gettingstarted,q="*:*",fl="id",sort="id desc",partitionKeys="id"),over="id"){code}
> Because of the partitionKeys the underlying query formed is:
> {code:java}
> params={q=*:*&distrib=false&fl=id&sort=id+desc&partitionKeys=id&fq={!hash+workers%3D1+worker%3D0}&wt=json&version=2.2} hits=2 status=0 QTime=30{code}
> This is a dummy dataset so don't see the the hits and QTime but this query certainly doesn't need to add the hash query parser filter clause for workers=1



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