[jira] [Updated] (LUCENE-3328) Specialize BooleanQuery if all clauses are TermQueries

["Simon Willnauer (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/LUCENE-3328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Simon Willnauer updated LUCENE-3328:
------------------------------------

    Attachment: LUCENE-3328.patch

here is a first patch that rewrites to ConjunctinTermQuery if possible. 

> Specialize BooleanQuery if all clauses are TermQueries
> ------------------------------------------------------
>
>                 Key: LUCENE-3328
>                 URL: https://issues.apache.org/jira/browse/LUCENE-3328
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: core/search
>    Affects Versions: 3.4, 4.0
>            Reporter: Simon Willnauer
>             Fix For: 3.4, 4.0
>
>         Attachments: LUCENE-3328.patch
>
>
> During work on LUCENE-3319 I ran into issues with BooleanQuery compared to PhraseQuery in the exact case. If I disable scoring on PhraseQuery and bypass the position matching, essentially doing a conjunction match, ExactPhraseScorer beats plain boolean scorer by 40% which is a sizeable gain. I converted a ConjunctionScorer to use DocsEnum directly but still didn't get all the 40% from PhraseQuery. Yet, it turned out with further optimizations this gets very close to PhraseQuery. The biggest gain here came from converting the hand crafted loop in ConjunctionScorer#doNext to a for loop which seems to be less confusing to hotspot. In this particular case I think code specialization makes lots of sense since BQ with TQ is by far one of the most common queries.
> I will upload a patch shortly

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