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From "Luc Vanlerberghe (JIRA)" <j...@apache.org>
Subject [jira] Updated: (LUCENE-469) (Parallel-)MultiSearcher: using Sort object changes the scores
Date Fri, 25 Nov 2005 20:28:56 GMT
     [ http://issues.apache.org/jira/browse/LUCENE-469?page=all ]

Luc Vanlerberghe updated LUCENE-469:
------------------------------------

    Attachment: MultiSearcherSort.patch

Here's the updated patch (at last....)

- the redundant changes to FieldDocSortedHitQueue are reverted.
- maxScore is private with public accessors.
- TopFieldDocs search (Weight weight, Filter filter, int n, Sort sort) is corrected in MultiSearcher
and ParallelMultiSearcher.
- I didn't add compatible but deprecated constructors for TopDocs and TopFieldDocs.  Those
constructors where package private, so they couldn't be used by derived classes anyway.  So
I think risk of breaking backwards compatibility for existing applications by changing these
classes is fairly low.


> (Parallel-)MultiSearcher: using Sort object changes the scores
> --------------------------------------------------------------
>
>          Key: LUCENE-469
>          URL: http://issues.apache.org/jira/browse/LUCENE-469
>      Project: Lucene - Java
>         Type: Bug
>   Components: Search
>     Versions: CVS Nightly - Specify date in submission
>  Environment: 21 november 2005, revision 345901
>     Reporter: Luc Vanlerberghe
>  Attachments: MultiSearcherSort.patch, MultiSearcherSort.patch, TestMultiSearcher.patch
>
> Example: 
> Hits hits=multiSearcher.search(query);
> returns different scores for some documents than
> Hits hits=multiSearcher.search(query, Sort.RELEVANCE);
> (both for MultiSearcher and ParallelMultiSearcher)
> The documents returned will be the same and in the same order, but the scores in the
second case will seem out of order.
> Inspecting the Explanation objects shows that the scores themselves are ok, but there's
a bug in the normalization of the scores.
> The document with the highest score should have score 1.0, so all document scores are
divided by the highest score.  (Assuming the highest score was>1.0)
> However, for MultiSearcher and ParallelMultiSearcher, this normalization factor is applied
*per index*, before merging the results together (the merge itself is ok though).
> An example: if you use
> Hits hits=multiSearcher.search(query, Sort.RELEVANCE);
> for a MultiSearcher with two subsearchers, the first document will have score 1.0.
> The next documents from the same subsearcher will have decreasing scores.
> The first document from the other subsearcher will however have score 1.0 again !
> The same applies for other Sort objects, but it is less visible.
> I will post a TestCase demonstrating the problem and suggested patches to solve it in
a moment...

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