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https://issues.apache.org/jira/browse/SOLR-6318?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14125165#comment-14125165
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Yonik Seeley commented on SOLR-6318:
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The performance I got for id filters (term queries on the id field) varied from
being 4 times faster to almost 9 times faster.
I was only able to test up to 100K ids though... when I tried 1M, something
failed in Jetty I think (maybe just hit the POST limit...)
http://heliosearch.org/solr-terms-query/
> 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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