It looks like you already implemented a CustomScoreProvider.

You are retrieving the FieldCache on every document, which slows down
immense (it's a sycronized cache lookup). The correct way is:

Override CSQ.getCustomScoreProvider and return your own CSP there. The CSP
itself should get the FieldCache for the required field in the ctor and
store it as a class instance field (Lucene will as for a new
CustomScoreProvider for each index segment).

In CSQ itself don't use ValueSources at all (I never use them because I
never understood how they are intended to work). Providing an own
CustomScoreProvider is in most cases the easiest you can do. Just follow my
advice from above to get the FieldCache in the ctor of the provider (from
the reader). Don't call super in the provider just return your own score
(some formula using subQueryScore and FieldCache, in most cases a simple
multiplication).

Uwe

-----
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de


> -----Original Message-----
> From: Dominika Puzio [mailto:dominika.pu...@gmail.com]
> Sent: Tuesday, February 21, 2012 10:27 AM
> To: java-user@lucene.apache.org
> Subject: Re: Question about CustomScoreQuery
> 
> Thanks for your answer. I checked what explain() says about my queries,
and:
> 
> MatchAllDocsQuery:
> 1.0 = (MATCH) MatchAllDocsQuery, product of:
>    1.0 = queryNorm
> 
> FieldScoreQuery:
> 0.5 = (MATCH) float(ratio), product of:
>    0.5 = float(ratio)=0.5
>    1.0 = boost
>    1.0 = queryNorm
> 
> CustomScoreQuery:
> 0.24999999 = (MATCH) custom(*:*, float(ratio)), product of:
>    0.24999999 = custom score: product of:
>      0.70710677 = (MATCH) MatchAllDocsQuery, product of:
>        0.70710677 = queryNorm
>      0.35355338 = (MATCH) float(ratio), product of:
>        0.5 = float(ratio)=0.5
>        1.0 = boost
>        0.70710677 = queryNorm
>    1.0 = queryBoost
> 
> so the reason is queryNorm.
> I've done this test, because I wanted to write my own CustomScoreQuery and
I
> was trying to understand what's happening in customScore(int doc, float
> subQueryScore, float valSrcScore) method of CustomScoreProvider. I
assumed,
> that if I use FieldScoreQuery as valueSourceQuery, valSrcScore parameter
will
> be equal to field value,  but it's not true. So now I'm using FieldCache
to obtain
> field value from index and use it in my own score function (there is one
value
> per document in this field in my index). It looks something like this:
> 
> public float customScore(int doc, float subQueryScore, float valSrcScore)
>               throws IOException {
> 
>       float fieldValue = FieldCache.DEFAULT.getFloats(reader,
"ratio")[doc];
> 
>       float newValSrcScore = someFunction(someQueryTimeVariable,
> fieldValue);
> 
>       return super.customScore(doc, subQueryScore, newValSrcScore); }
> 
> Am I right, or is there a better way to get field value?
> 
> --
> Dominika
> 
> 
> On 20.02.2012 18:38, Ian Lea wrote:
> > I can't explain this.  Can you get at an oal.search.Explanation?  You
> > could write your own CustomScoreProvider - that might help you to
> > double check what is being passed to it, and/or allow you to provide
> > your own calculation.
> >
> >
> > --
> > Ian.
> >
> >
> > On Thu, Feb 16, 2012 at 8:32 PM, Dominika Puzio
> > <dominika.pu...@gmail.com>  wrote:
> >> Hello,
> >> I'm trying to understand the behavior of CustomScoreQuery. It seemed to
> me,
> >> that default
> >> CustomScoreQuery(Query subQuery, ValueSourceQuery valSrcQuery)
> >> should return a score that is a product of subQuery score
> >> and valSrcQuery score. So I wrote a simple test case given below:
> >>
> >>       @Test
> >>       public void createAndQueryIndex() throws CorruptIndexException,
> >> LockObtainFailedException, IOException {
> >>
> >>               RAMDirectory dir = new RAMDirectory();
> >>               IndexWriter writer = new IndexWriter(dir,
> >>                               new IndexWriterConfig(Version.LUCENE_35,
> >> new StandardAnalyzer(
> >>                                               Version.LUCENE_35)));
> >>
> >>               Document doc = new Document();
> >>               doc.add(new Field("name", "name", Store.YES,
> Index.NOT_ANALYZED));
> >>               doc.add(new Field("ratio", "0.5", Store.YES,
Index.NOT_ANALYZED));
> >>
> >>               writer.addDocument(doc);
> >>               writer.close();
> >>
> >>
> >>               IndexSearcher searcher = new
> IndexSearcher(IndexReader.open(dir));
> >>
> >>               Query matchAllDocs = new MatchAllDocsQuery();
> >>               float score1 = searcher.search(matchAllDocs,
> >> 1).scoreDocs[0].score;
> >>               Assert.assertEquals(1.0f, score1, 0);
> >>
> >>               ValueSourceQuery fieldScoreQuery = new
FieldScoreQuery("ratio",
> >> FieldScoreQuery.Type.FLOAT);
> >>               float score2 = searcher.search(fieldScoreQuery,
> >> 1).scoreDocs[0].score;
> >>               Assert.assertEquals(0.5f, score2, 0);
> >>
> >>
> >>               CustomScoreQuery csq = new CustomScoreQuery(matchAllDocs,
> >> fieldScoreQuery);
> >>               float score3 = searcher.search(csq,
1).scoreDocs[0].score;
> >>               Assert.assertEquals(score1*score2, score3, 0);
> >>
> >>               searcher.close();
> >>       }
> >>
> >> But this test fails in third assertion - score3 is 0.249. Can someone
> >> explain why? How the score3 is computed in this case?
> >>
> >> --
> >> Regards
> >> Dominika Puzio
> >>
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> >>
> >
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