Examples of org.apache.lucene.facet.params.FacetIndexingParams

org.apache.lucene.facet.params.FacetIndexingParams
Defines parameters that are needed for facets indexing. Note that this class does not have any setters. That's because overriding the default parameters is considered expert. If you wish to override them, simply extend this class and override the relevant getter.
NOTE: This class is also used during faceted search in order to e.g. know which field holds the drill-down terms or the fulltree posting. Therefore this class should be initialized once and you should refrain from changing it. Also note that if you make any changes to it (e.g. suddenly deciding that drill-down terms should be read from a different field) and use it on an existing index, things may not work as expected. @lucene.experimental

  @Test
  public void testCountWithdepthUsingSampling() throws Exception, IOException {
    Directory indexDir = newDirectory();
    Directory taxoDir = newDirectory();
    
    FacetIndexingParams fip = new FacetIndexingParams(randomCategoryListParams());
    
    // index 100 docs, each with one category: ["root", docnum/10, docnum]
    // e.g. root/8/87
    index100Docs(indexDir, taxoDir, fip);

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    boolean useRandomSampler = random().nextBoolean();
    for (int partitionSize : partitionSizes) {
      try {
        // complements return counts for all ordinals, so force ALL_PARENTS indexing
        // so that it's easier to compare
        FacetIndexingParams fip = getFacetIndexingParams(partitionSize, true);
        initIndex(fip);
        // Get all of the documents and run the query, then do different
        // facet counts and compare to control
        Query q = new TermQuery(new Term(CONTENT_FIELD, BETA)); // 90% of the docs

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      if (VERBOSE) {
        System.out.println("Partition Size: " + partitionSize);
      }
      
      final int pSize = partitionSize;
      FacetIndexingParams iParams = new FacetIndexingParams() {
        @Override
        public int getPartitionSize() {
          return pSize;
        }
      };

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        @Override
        public OrdinalPolicy getOrdinalPolicy(String fieldName) {
          return OrdinalPolicy.ALL_PARENTS;
        }
      };
    FacetIndexingParams fip = new FacetIndexingParams(clp);


    FacetFields facetFields = new FacetFields(taxoWriter, fip);


    Document doc = new Document();
    doc.add(newTextField("field", "text", Field.Store.NO));

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   * also when some facets have the same counts.
   */
  @Test
  public void testTopCountsOrder() throws Exception {
    for (int partitionSize : partitionSizes) {
      FacetIndexingParams fip = getFacetIndexingParams(partitionSize);
      initIndex(fip);
      
      /*
       * Try out faceted search in it's most basic form (no sampling nor complement
       * that is). In this test lots (and lots..) of randomly generated data is

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    Map<String,OrdinalPolicy> policies = new HashMap<String,CategoryListParams.OrdinalPolicy>();
    policies.put(CP_B.components[0], OrdinalPolicy.ALL_PARENTS);
    policies.put(CP_C.components[0], OrdinalPolicy.NO_PARENTS);
    policies.put(CP_D.components[0], OrdinalPolicy.NO_PARENTS);
    CategoryListParams clp = new PerDimensionOrdinalPolicy(policies);
    fip = new FacetIndexingParams(clp);
    
    allExpectedCounts = newCounts();
    termExpectedCounts = newCounts();
    
    // segment w/ no categories

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Related Classes of org.apache.lucene.facet.params.FacetIndexingParams

org.apache.lucene.facet.complements.TestTotalFacetCounts

org.apache.lucene.facet.complements.TestTotalFacetCountsCache

org.apache.lucene.facet.FacetTestBase

org.apache.lucene.facet.old.OldFacetsAccumulator

org.apache.lucene.facet.params.FacetIndexingParamsTest

org.apache.lucene.facet.params.PerDimensionIndexingParamsTest

org.apache.lucene.facet.sampling.BaseSampleTestTopK

org.apache.lucene.facet.sampling.OversampleWithDepthTest

org.apache.lucene.facet.search.CountingFacetsAggregatorTest

org.apache.lucene.facet.search.DrillDownQueryTest

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