Package org.apache.lucene.queries.function

Examples of org.apache.lucene.queries.function.ValueSource

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    }
    //--Match all, order by distance ascending
    {
      Point pt = ctx.makePoint(60, -50);
      double degToKm = DistanceUtils.degrees2Dist(1, DistanceUtils.EARTH_MEAN_RADIUS_KM);
      ValueSource valueSource = strategy.makeDistanceValueSource(pt, degToKm);//the distance (in km)
      Sort distSort = new Sort(valueSource.getSortField(false)).rewrite(indexSearcher);//false=asc dist
      TopDocs docs = indexSearcher.search(new MatchAllDocsQuery(), 10, distSort);
      assertDocMatchedIds(indexSearcher, docs, 4, 20, 2);
      //To get the distance, we could compute from stored values like earlier.
      // However in this example we sorted on it, and the distance will get
      // computed redundantly.  If the distance is only needed for the top-X
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    iw.close();
   
    DirectoryReader r = DirectoryReader.open(indexDir);
    DirectoryTaxonomyReader taxo = new DirectoryTaxonomyReader(taxoDir);

    ValueSource valueSource = new LongFieldSource("price");
    FacetSearchParams fsp = new FacetSearchParams(new SumValueSourceFacetRequest(new CategoryPath("a"), 10, valueSource, false));
    FacetsCollector fc = FacetsCollector.create(fsp, r, taxo);
    newSearcher(r).search(new MatchAllDocsQuery(), fc);
   
    List<FacetResult> res = fc.getFacetResults();
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    iw.close();
   
    DirectoryReader r = DirectoryReader.open(indexDir);
    DirectoryTaxonomyReader taxo = new DirectoryTaxonomyReader(taxoDir);

    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) {
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    iw.close();
   
    DirectoryReader r = DirectoryReader.open(indexDir);
    DirectoryTaxonomyReader taxo = new DirectoryTaxonomyReader(taxoDir);

    ValueSource valueSource = new LongFieldSource("price");
    FacetSearchParams fsp = new FacetSearchParams(fip, new SumValueSourceFacetRequest(new CategoryPath("a"), 10, valueSource, false));
    FacetsCollector fc = FacetsCollector.create(fsp, r, taxo);
    newSearcher(r).search(new MatchAllDocsQuery(), fc);
   
    List<FacetResult> res = fc.getFacetResults();
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          fastMatchFilter = NumericRangeFilter.newLongRange("field", minAcceptedValue, maxAcceptedValue, true, true);
        }
      } else {
        fastMatchFilter = null;
      }
      ValueSource vs = new LongFieldSource("field");
      Facets facets = new LongRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
      FacetResult result = facets.getTopChildren(10, "field");
      assertEquals(numRange, result.labelValues.length);
      for(int rangeID=0;rangeID<numRange;rangeID++) {
        if (VERBOSE) {
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          fastMatchFilter = NumericRangeFilter.newFloatRange("field", minAcceptedValue, maxAcceptedValue, true, true);
        }
      } else {
        fastMatchFilter = null;
      }
      ValueSource vs = new FloatFieldSource("field");
      Facets facets = new DoubleRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
      FacetResult result = facets.getTopChildren(10, "field");
      assertEquals(numRange, result.labelValues.length);
      for(int rangeID=0;rangeID<numRange;rangeID++) {
        if (VERBOSE) {
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          fastMatchFilter = NumericRangeFilter.newDoubleRange("field", minAcceptedValue, maxAcceptedValue, true, true);
        }
      } else {
        fastMatchFilter = null;
      }
      ValueSource vs = new DoubleFieldSource("field");
      Facets facets = new DoubleRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
      FacetResult result = facets.getTopChildren(10, "field");
      assertEquals(numRange, result.labelValues.length);
      for(int rangeID=0;rangeID<numRange;rangeID++) {
        if (VERBOSE) {
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    writer.addDocument(doc);

    // Test wants 3 docs in one segment:
    writer.forceMerge(1);

    final ValueSource vs = new ValueSource() {
        @SuppressWarnings("rawtypes")
        @Override
        public FunctionValues getValues(Map ignored, AtomicReaderContext ignored2) {
          return new DoubleDocValues(null) {
            @Override
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    }
   
    DirectoryReader r = DirectoryReader.open(iw, true);
    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) {
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    }
   
    DirectoryReader r = DirectoryReader.open(iw, true);
    DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);

    ValueSource valueSource = new LongFieldSource("price");
    FacetsCollector sfc = new FacetsCollector();
    newSearcher(r).search(new MatchAllDocsQuery(), sfc);
    Facets facets = new TaxonomyFacetSumValueSource(taxoReader, config, sfc, valueSource);
   
    assertEquals("dim=a path=[] value=10.0 childCount=2\n  1 (6.0)\n  0 (4.0)\n", facets.getTopChildren(10, "a").toString());
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Related Classes of org.apache.lucene.queries.function.ValueSource

  • org.apache.jena.query.spatial.SpatialIndexLucene
  • org.apache.lucene.benchmark.byTask.feeds.SpatialFileQueryMaker
  • org.apache.lucene.demo.facet.DistanceFacetsExample
  • org.apache.lucene.expressions.ExpressionValueSource
  • org.apache.lucene.expressions.TestExpressionValueSource
  • org.apache.lucene.facet.range.TestRangeFacetCounts
  • org.apache.lucene.facet.search.TestSumValueSourceFacetRequest
  • org.apache.lucene.facet.taxonomy.TestTaxonomyFacetSumValueSource
  • org.apache.lucene.search.grouping.AllGroupHeadsCollectorTest
  • org.apache.lucene.search.grouping.AllGroupsCollectorTest
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