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https://issues.apache.org/jira/browse/LUCENE-6276?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Paul Elschot updated LUCENE-6276:
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Attachment: LUCENE-6276.patch
Patch of 27 October 2015. This
- is against trunk of today,
- resolves the conflicts from Spans becoming a Scorer,
- changes the matchCost to be an estimate of the number of operations needed
for the positions. This uses a cost of 7 per position as in the codec code, and
a basic cost 128 (no more than a guess) for the initial seek and refill.
- adds a few more implementations to make ant compile-test pass at top level.
Since 7 is rather low and the expected number of positions per document
containing the term is just above 1 in many cases, I left matchCost() returning
a float.
> Add matchCost() api to TwoPhaseDocIdSetIterator
> -----------------------------------------------
>
> Key: LUCENE-6276
> URL: https://issues.apache.org/jira/browse/LUCENE-6276
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Robert Muir
> Attachments: LUCENE-6276-ExactPhraseOnly.patch,
> LUCENE-6276-NoSpans.patch, LUCENE-6276-NoSpans2.patch, LUCENE-6276.patch,
> LUCENE-6276.patch, LUCENE-6276.patch, LUCENE-6276.patch, LUCENE-6276.patch
>
>
> We could add a method like TwoPhaseDISI.matchCost() defined as something like
> estimate of nanoseconds or similar.
> ConjunctionScorer could use this method to sort its 'twoPhaseIterators' array
> so that cheaper ones are called first. Today it has no idea if one scorer is
> a simple phrase scorer on a short field vs another that might do some geo
> calculation or more expensive stuff.
> PhraseScorers could implement this based on index statistics (e.g.
> totalTermFreq/maxDoc)
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