Examples of org.apache.lucene.search.Scorer

org.apache.lucene.search.Scorer
Expert: Common scoring functionality for different types of queries.
A Scorer iterates over documents matching a query in increasing order of doc Id.

Document scores are computed using a given Similarity implementation.

NOTE: The values Float.Nan, Float.NEGATIVE_INFINITY and Float.POSITIVE_INFINITY are not valid scores. Certain collectors (eg {@link TopScoreDocCollector}) will not properly collect hits with these scores.

    DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);


    ValueSource valueSource = new ValueSource() {
      @Override
      public FunctionValues getValues(@SuppressWarnings("rawtypes") Map context, AtomicReaderContext readerContext) throws IOException {
        final Scorer scorer = (Scorer) context.get("scorer");
        assert scorer != null;
        return new DoubleDocValues(this) {
          @Override
          public double doubleVal(int document) {
            try {
              return scorer.score();
            } catch (IOException exception) {
              throw new RuntimeException(exception);
            }
          }
        };

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    @Override
    public Scorer scorer(AtomicReaderContext readerContext, boolean scoreDocsInOrder,
        boolean topScorer, Bits acceptDocs) throws IOException {


      // Pass scoreDocsInOrder true, topScorer false to our sub:
      final Scorer parentScorer = parentWeight.scorer(readerContext, true, false, null);


      if (parentScorer == null) {
        // No matches
        return null;
      }

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    @Override
    public Scorer scorer(AtomicReaderContext readerContext, boolean scoreDocsInOrder,
        boolean topScorer, Bits acceptDocs) throws IOException {


      // Pass scoreDocsInOrder true, topScorer false to our sub and the live docs:
      final Scorer childScorer = childWeight.scorer(readerContext, true, false, readerContext.reader().getLiveDocs());


      if (childScorer == null) {
        // No matches
        return null;
      }


      final int firstChildDoc = childScorer.nextDoc();
      if (firstChildDoc == DocIdSetIterator.NO_MORE_DOCS) {
        // No matches
        return null;
      }

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      public Scorer scorer(AtomicReaderContext context, boolean scoreDocsInOrder,
                           boolean topScorer, Bits acceptDocs) throws IOException {


        // TODO: it could be better if we take acceptDocs
        // into account instead of baseScorer?
        Scorer baseScorer = baseWeight.scorer(context, scoreDocsInOrder, false, acceptDocs);


        DrillSidewaysScorer.DocsAndCost[] dims = new DrillSidewaysScorer.DocsAndCost[drillDowns.length];
        int nullCount = 0;
        for(int dim=0;dim<dims.length;dim++) {
          dims[dim] = new DrillSidewaysScorer.DocsAndCost();

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    IndexSearcher searcher = new IndexSearcher(reader);
    for (Entry<Query, Integer> entry : deletesFlushed.queries.entrySet()) {
      Query query = entry.getKey();
      int limit = entry.getValue().intValue();
      Weight weight = query.weight(searcher);
      Scorer scorer = weight.scorer(reader, true, false);
      if (scorer != null) {
        while(true)  {
          int doc = scorer.nextDoc();
          if (((long) docIDStart) + doc >= limit)
            break;
          reader.deleteDocument(doc);
          any = true;
        }

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            subQueryWeight.normalize(norm);
        }


        @Override
        public Scorer scorer(IndexReader reader, boolean scoreDocsInOrder, boolean topScorer) throws IOException {
            Scorer subQueryScorer = subQueryWeight.scorer(reader, scoreDocsInOrder, false);
            if (subQueryScorer == null) {
                return null;
            }
            for (int i = 0; i < filterFunctions.length; i++) {
                FilterFunction filterFunction = filterFunctions[i];

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            subQueryWeight.normalize(norm);
        }


        @Override
        public Scorer scorer(IndexReader reader, boolean scoreDocsInOrder, boolean topScorer) throws IOException {
            Scorer subQueryScorer = subQueryWeight.scorer(reader, scoreDocsInOrder, false);
            if (subQueryScorer == null) {
                return null;
            }
            function.setNextReader(reader);
            return new CustomBoostFactorScorer(getSimilarity(searcher), this, subQueryScorer, function);

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        } catch (CollectionTerminatedException e) {
          // there is no doc of interest in this reader context
          // continue with the following leaf
          continue;
        }
        Scorer scorer = weight.scorer(ctx, !collector.acceptsDocsOutOfOrder(), true, ctx.reader().getLiveDocs());
        if (scorer != null) {
          try {
            scorer.score(collector);
          } catch (CollectionTerminatedException e) {
            // collection was terminated prematurely
            // continue with the following leaf
          }
        }

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        ids.put(i);
      }
    }


    private void runFacet(AtomicLongArray counts, SimpleCollector col, int i) throws IOException {
      Scorer scorer = _scorers[i];
      if (scorer != null) {
        Tracer traceInner = Trace.trace("processing facet - segment - scorer", Trace.param("scorer", scorer),
            Trace.param("scorer.cost", scorer.cost()));
        try {
          // new ExitScorer(scorer).score(col);
          scorer.score(col);
        } catch (Finished e) {
          // Do nothing, exiting early.
        } finally {
          traceInner.done();
        }

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    }


    @Override
    public Scorer scorer(AtomicReaderContext context, boolean scoreDocsInOrder, boolean topScorer, Bits acceptDocs)
        throws IOException {
      Scorer scorer = weight.scorer(context, true, topScorer, acceptDocs);
      if (scorer == null) {
        return null;
      }
      OpenBitSet primeDocBitSet = PrimeDocCache.getPrimeDocBitSet(primeDocTerm, context.reader());
      return new SuperScorer(scorer, primeDocBitSet, originalQueryStr, scoreType);

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