Package org.apache.lucene.facet

Examples of org.apache.lucene.facet.FacetsCollector$Docs

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    for(int iter=0;iter<iters;iter++) {
      String searchToken = tokens[random().nextInt(tokens.length)];
      if (VERBOSE) {
        System.out.println("\nTEST: iter content=" + searchToken);
      }
      FacetsCollector fc = new FacetsCollector();
      FacetsCollector.search(searcher, new TermQuery(new Term("content", searchToken)), 10, fc);
      Facets facets = getTaxonomyFacetCounts(tr, config, fc);

      // Slow, yet hopefully bug-free, faceting:
      @SuppressWarnings({"rawtypes","unchecked"}) Map<String,Integer>[] expectedCounts = new HashMap[numDims];
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    IndexSearcher searcher = newSearcher(writer.getReader());

    // Per-top-reader state:
    SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(searcher.getIndexReader());
   
    FacetsCollector c = new FacetsCollector();

    searcher.search(new MatchAllDocsQuery(), c);

    SortedSetDocValuesFacetCounts facets = new SortedSetDocValuesFacetCounts(state, c);
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    doc.add(new SortedSetDocValuesFacetField("a", "baz"));
    writer.addDocument(config.build(doc));

    IndexSearcher searcher = newSearcher(writer.getReader());

    FacetsCollector c = new FacetsCollector();

    searcher.search(new MatchAllDocsQuery(), c);

    try {
      new SortedSetDocValuesFacetCounts(state, c);
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    writer.close();

    // Per-top-reader state:
    SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(searcher.getIndexReader());

    FacetsCollector c = new FacetsCollector();
    searcher.search(new MatchAllDocsQuery(), c);   
    SortedSetDocValuesFacetCounts facets = new SortedSetDocValuesFacetCounts(state, c);

    // Ask for top 10 labels for any dims that have counts:
    List<FacetResult> results = facets.getAllDims(10);
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    writer.close();

    // Per-top-reader state:
    SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(searcher.getIndexReader());

    FacetsCollector c = new FacetsCollector();
    searcher.search(new MatchAllDocsQuery(), c);   
    SortedSetDocValuesFacetCounts facets = new SortedSetDocValuesFacetCounts(state, c);

    // Ask for top 10 labels for any dims that have counts:
    assertEquals("dim=a path=[] value=2 childCount=2\n  foo1 (1)\n  foo2 (1)\n", facets.getTopChildren(10, "a").toString());
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    IndexSearcher searcher = new IndexSearcher(SlowCompositeReaderWrapper.wrap(writer.getReader()));

    // Per-top-reader state:
    SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(searcher.getIndexReader());

    FacetsCollector c = new FacetsCollector();
    searcher.search(new MatchAllDocsQuery(), c);   
    Facets facets = new SortedSetDocValuesFacetCounts(state, c);

    // Ask for top 10 labels for any dims that have counts:
    assertEquals("dim=a path=[] value=2 childCount=2\n  foo1 (1)\n  foo2 (1)\n", facets.getTopChildren(10, "a").toString());
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    for(int iter=0;iter<iters;iter++) {
      String searchToken = tokens[random().nextInt(tokens.length)];
      if (VERBOSE) {
        System.out.println("\nTEST: iter content=" + searchToken);
      }
      FacetsCollector fc = new FacetsCollector();
      FacetsCollector.search(searcher, new TermQuery(new Term("content", searchToken)), 10, fc);
      Facets facets = new SortedSetDocValuesFacetCounts(state, fc);

      // Slow, yet hopefully bug-free, faceting:
      @SuppressWarnings({"rawtypes","unchecked"}) Map<String,Integer>[] expectedCounts = new HashMap[numDims];
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    // NRT open
    TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
    taxoWriter.close();

    // Aggregate the facet counts:
    FacetsCollector c = new FacetsCollector();

    // MatchAllDocsQuery is for "browsing" (counts facets
    // for all non-deleted docs in the index); normally
    // you'd use a "normal" query and one of the
    // Facets.search utility methods:
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    // NRT open
    TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
    taxoWriter.close();

    FacetsCollector c = new FacetsCollector();
    searcher.search(new MatchAllDocsQuery(), c);   

    TaxonomyFacetSumValueSource facets = new TaxonomyFacetSumValueSource(taxoReader, new FacetsConfig(), c, new IntFieldSource("num"));

    // Ask for top 10 labels for any dims that have counts:
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    // NRT open
    TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
    taxoWriter.close();

    FacetsCollector c = new FacetsCollector();
    searcher.search(new MatchAllDocsQuery(), c);   

    TaxonomyFacetSumValueSource facets = new TaxonomyFacetSumValueSource(taxoReader, config, c, new IntFieldSource("num"));

    // Ask for top 10 labels for any dims that have counts:
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Related Classes of org.apache.lucene.facet.FacetsCollector$Docs

  • org.apache.lucene.demo.facet.AssociationsFacetsExample
  • org.apache.lucene.demo.facet.DistanceFacetsExample
  • org.apache.lucene.demo.facet.ExpressionAggregationFacetsExample
  • org.apache.lucene.demo.facet.MultiCategoryListsFacetsExample
  • org.apache.lucene.demo.facet.RangeFacetsExample
  • org.apache.lucene.demo.facet.SimpleFacetsExample
  • org.apache.lucene.demo.facet.SimpleSortedSetFacetsExample
  • org.apache.lucene.facet.range.TestRangeFacetCounts
  • org.apache.lucene.facet.sortedset.TestSortedSetDocValuesFacets
  • org.apache.lucene.facet.taxonomy.TestSearcherTaxonomyManager
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