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From "David Smiley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-6318) QParser for TermsFilter
Date Mon, 08 Sep 2014 03:06:29 GMT

    [ https://issues.apache.org/jira/browse/SOLR-6318?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14125176#comment-14125176
] 

David Smiley commented on SOLR-6318:
------------------------------------

Cool [~yseeley@gmail.com]; thanks for spending the time benchmarking it.  Could you try some
of the other methods supported besides termsFilter:  method=automaton and method=docValuesTermsFilter

> QParser for TermsFilter
> -----------------------
>
>                 Key: SOLR-6318
>                 URL: https://issues.apache.org/jira/browse/SOLR-6318
>             Project: Solr
>          Issue Type: New Feature
>          Components: query parsers
>            Reporter: David Smiley
>            Assignee: David Smiley
>             Fix For: 4.10
>
>         Attachments: SOLR-6318__terms_QParser.patch
>
>
> Some applications require filtering documents by a large number of terms.  It's often
related to security filtering.  Naively this is done this way:
> {noformat}
>     fq={!df=myfield q.op=OR}code1 code2 code3 code4 code5...
> {noformat}
> And this ends up being a BooleanQuery.  Users then wind up hitting BooleaQuery.maxClauseCount
(sometimes in production, sadly) and they up it to a huge number to get the job done.
> Solr should offer a QParser based on TermsFilter.  I propose it be named "terms" (plural
of term), and have a "separator" option defaulting to a space.  When it's a space, the values
also get trimmed, which wouldn't otherwise happen.  The analysis logic should be the same
as that for "term" QParser which is to call FieldType.readableToIndexed.



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