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From "Paul Elschot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-7621) Per-document minShouldMatch
Date Thu, 05 Jan 2017 21:59:58 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-7621?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15802649#comment-15802649
] 

Paul Elschot commented on LUCENE-7621:
--------------------------------------

Could this also work when the clauses are SynonymQueries?

> Per-document minShouldMatch
> ---------------------------
>
>                 Key: LUCENE-7621
>                 URL: https://issues.apache.org/jira/browse/LUCENE-7621
>             Project: Lucene - Core
>          Issue Type: New Feature
>            Reporter: Adrien Grand
>            Priority: Minor
>
> I have seen similar requirements a couple times but could not find any related issue
so I am opening one now. The idea would be to allow passing a {{LongValuesSource}} rather
than an integer as the {{minShouldMatch}} parameter of {{BooleanQuery}} so that the number
of required clauses can depend on the document that is being matched. In terms of implementation,
it looks like it would be straightforward as we would just have to update the value of {{minShouldMatch}}
in {{MinShouldMatchSumScorer.setDocAndFreq}} and things would still be efficient, ie. we would
still use advance on the costly clauses.
> This kind of feature would allow to run queries that must match eg. 80% of the terms
that a document contains (by indexing the number of terms in a separate field). It would also
make it possible for Luwak or ES' percolator to index boolean queries that have a value of
{{minShouldMatch}} greater than 1 more efficiently.
> I do not have any plans to work on it soon but I am curious how much interest this feature
would drive.



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