Examples of org.apache.lucene.search.Weight.scorer()

org.apache.lucene.search.Weight.scorer()
Returns a {@link Scorer} which scores documents in/out-of order accordingto scoreDocsInOrder.
NOTE: even if scoreDocsInOrder is false, it is recommended to check whether the returned Scorer indeed scores documents out of order (i.e., call {@link #scoresDocsOutOfOrder()}), as some Scorer implementations will always return documents in-order.
NOTE: null can be returned if no documents will be scored by this query. @param context the {@link AtomicReaderContext} for which to return the {@link Scorer}. @param scoreDocsInOrder specifies whether in-order scoring of documents is required. Note that if set to false (i.e., out-of-order scoring is required), this method can return whatever scoring mode it supports, as every in-order scorer is also an out-of-order one. However, an out-of-order scorer may not support {@link Scorer#nextDoc()}and/or {@link Scorer#advance(int)}, therefore it is recommended to request an in-order scorer if use of these methods is required. @param topScorer if true, {@link Scorer#score(Collector)} will be called; if false,{@link Scorer#nextDoc()} and/or {@link Scorer#advance(int)} willbe called. @param acceptDocs Bits that represent the allowable docs to match (typically deleted docs but possibly filtering other documents) @return a {@link Scorer} which scores documents in/out-of order. @throws IOException if there is a low-level I/O error

            List<Query> filters = rb.getFilters();
            if (filters!=null){
              final ArrayList<DocIdSet> docsets = new ArrayList<DocIdSet>(filters.size());
                for (Query filter : filters){
                  Weight weight = filter.createWeight(rb.req.getSearcher());
                  final Scorer scorer = weight.scorer(reader, false, true);
                  docsets.add(new DocIdSet(){
                @Override
                public DocIdSetIterator iterator() throws IOException {
                  return scorer;
                }

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   * this causes problems
   */
  public void testSpanNearScorerSkipTo1() throws Exception {
    SpanNearQuery q = makeQuery();
    Weight w = q.weight(searcher);
    Scorer s = w.scorer(searcher.getIndexReader(), true, false);
    assertEquals(1, s.advance(1));
  }
  /**
   * not a direct test of NearSpans, but a demonstration of how/when
   * this causes problems

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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;

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  protected Scorer getScorer(final Query query) throws IOException {
    final Weight weight = searcher.createNormalizedWeight(query);
    assertTrue(searcher.getTopReaderContext() instanceof AtomicReaderContext);
    final AtomicReaderContext context = (AtomicReaderContext) searcher.getTopReaderContext();
    return weight.scorer(context, true, true, context.reader().getLiveDocs());
  }


  public static abstract class LuceneQueryBuilder {


    public abstract Query getQuery();

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    while(iter.hasNext()) {
      Entry entry = (Entry) iter.next();
      Query query = (Query) entry.getKey();
      int limit = ((Integer) 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;

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   * this causes problems
   */
  public void testSpanNearScorerSkipTo1() throws Exception {
    SpanNearQuery q = makeQuery();
    Weight w = searcher.createNormalizedWeight(q);
    Scorer s = w.scorer(searcher.getIndexReader(), true, false);
    assertEquals(1, s.advance(1));
  }
  
  /**
   * not a direct test of NearSpans, but a demonstration of how/when

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        // Sort drill-downs by most restrictive first:
        Arrays.sort(dims);


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


        if (baseScorer == null) {
          return null;
        }

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    while(iter.hasNext()) {
      Entry entry = (Entry) iter.next();
      Query query = (Query) entry.getKey();
      int limit = ((Integer) 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;

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  public void testSpanNearScorerSkipTo1() throws Exception {
    SpanNearQuery q = makeQuery();
    Weight w = searcher.createNormalizedWeight(q);
    IndexReaderContext topReaderContext = searcher.getTopReaderContext();
    AtomicReaderContext leave = topReaderContext.leaves().get(0);
    Scorer s = w.scorer(leave, true, false, leave.reader().getLiveDocs());
    assertEquals(1, s.advance(1));
  }
  
  /**
   * not a direct test of NearSpans, but a demonstration of how/when

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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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