Java FacetResult类代码示例

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and counts facets. */
private List<FacetResult> facetsWithSearch() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);

  FacetsCollector fc = new FacetsCollector();

  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);

  // Retrieve results
  List<FacetResult> results = new ArrayList<FacetResult>();

  // Count both "Publish Date" and "Author" dimensions
  Facets facets = new FastTaxonomyFacetCounts(taxoReader, config, fc);
  results.add(facets.getTopChildren(10, "Author"));
  results.add(facets.getTopChildren(10, "Publish Date"));
  
  indexReader.close();
  taxoReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User drills down on 'Publish Date/2010', and we
 *  return facets for 'Author' */
private FacetResult drillDown() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);

  // Passing no baseQuery means we drill down on all
  // documents ("browse only"):
  DrillDownQuery q = new DrillDownQuery(config);

  // Now user drills down on Publish Date/2010:
  q.add("Publish Date", "2010");
  FacetsCollector fc = new FacetsCollector();
  FacetsCollector.search(searcher, q, 10, fc);

  // Retrieve results
  Facets facets = new FastTaxonomyFacetCounts(taxoReader, config, fc);
  FacetResult result = facets.getTopChildren(10, "Author");

  indexReader.close();
  taxoReader.close();
  
  return result;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User drills down on 'Publish Date/2010', and we
 *  return facets for both 'Publish Date' and 'Author',
 *  using DrillSideways. */
private List<FacetResult> drillSideways() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);

  // Passing no baseQuery means we drill down on all
  // documents ("browse only"):
  DrillDownQuery q = new DrillDownQuery(config);

  // Now user drills down on Publish Date/2010:
  q.add("Publish Date", "2010");

  DrillSideways ds = new DrillSideways(searcher, config, taxoReader);
  DrillSidewaysResult result = ds.search(q, 10);

  // Retrieve results
  List<FacetResult> facets = result.facets.getAllDims(10);

  indexReader.close();
  taxoReader.close();
  
  return facets;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** Runs the search and drill-down examples and prints the results. */
public static void main(String[] args) throws Exception {
  System.out.println("Facet counting example:");
  System.out.println("-----------------------");
  SimpleFacetsExample example = new SimpleFacetsExample();
  List<FacetResult> results1 = example.runFacetOnly();
  System.out.println("Author: " + results1.get(0));
  System.out.println("Publish Date: " + results1.get(1));
  
  System.out.println("Facet counting example (combined facets and search):");
  System.out.println("-----------------------");
  List<FacetResult> results = example.runSearch();
  System.out.println("Author: " + results.get(0));
  System.out.println("Publish Date: " + results.get(1));
  
  System.out.println("Facet drill-down example (Publish Date/2010):");
  System.out.println("---------------------------------------------");
  System.out.println("Author: " + example.runDrillDown());

  System.out.println("Facet drill-sideways example (Publish Date/2010):");
  System.out.println("---------------------------------------------");
  for(FacetResult result : example.runDrillSideways()) {
    System.out.println(result);
  }
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and counts facets. */
private List<FacetResult> search() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(indexReader);

  // Aggregatses the facet counts
  FacetsCollector fc = new FacetsCollector();

  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);

  // Retrieve results
  Facets facets = new SortedSetDocValuesFacetCounts(state, fc);

  List<FacetResult> results = new ArrayList<FacetResult>();
  results.add(facets.getTopChildren(10, "Author"));
  results.add(facets.getTopChildren(10, "Publish Year"));
  indexReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User drills down on 'Publish Year/2010'. */
private FacetResult drillDown() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(indexReader);

  // Now user drills down on Publish Year/2010:
  DrillDownQuery q = new DrillDownQuery(config);
  q.add("Publish Year", "2010");
  FacetsCollector fc = new FacetsCollector();
  FacetsCollector.search(searcher, q, 10, fc);

  // Retrieve results
  Facets facets = new SortedSetDocValuesFacetCounts(state, fc);
  FacetResult result = facets.getTopChildren(10, "Author");
  indexReader.close();
  
  return result;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and aggregates facets by summing their association values. */
private List<FacetResult> sumAssociations() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);
  
  FacetsCollector fc = new FacetsCollector();
  
  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);
  
  Facets tags = new TaxonomyFacetSumIntAssociations("$tags", taxoReader, config, fc);
  Facets genre = new TaxonomyFacetSumFloatAssociations("$genre", taxoReader, config, fc);

  // Retrieve results
  List<FacetResult> results = new ArrayList<FacetResult>();
  results.add(tags.getTopChildren(10, "tags"));
  results.add(genre.getTopChildren(10, "genre"));

  indexReader.close();
  taxoReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User drills down on 'tags/solr'. */
private FacetResult drillDown() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);

  // Passing no baseQuery means we drill down on all
  // documents ("browse only"):
  DrillDownQuery q = new DrillDownQuery(config);

  // Now user drills down on Publish Date/2010:
  q.add("tags", "solr");
  FacetsCollector fc = new FacetsCollector();
  FacetsCollector.search(searcher, q, 10, fc);

  // Retrieve results
  Facets facets = new TaxonomyFacetSumFloatAssociations("$genre", taxoReader, config, fc);
  FacetResult result = facets.getTopChildren(10, "genre");

  indexReader.close();
  taxoReader.close();
  
  return result;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and counts facets. */
public FacetResult search() throws IOException {

  // Aggregates the facet counts
  FacetsCollector fc = new FacetsCollector();

  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);

  Facets facets = new LongRangeFacetCounts("timestamp", fc,
                                           PAST_HOUR,
                                           PAST_SIX_HOURS,
                                           PAST_DAY);
  return facets.getTopChildren(10, "timestamp");
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and counts facets. */
private List<FacetResult> facetsWithSearch() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);

  FacetsCollector fc = new FacetsCollector();

  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);

  // Retrieve results
  List<FacetResult> results = new ArrayList<>();

  // Count both "Publish Date" and "Author" dimensions
  Facets facets = new FastTaxonomyFacetCounts(taxoReader, config, fc);
  results.add(facets.getTopChildren(10, "Author"));
  results.add(facets.getTopChildren(10, "Publish Date"));
  
  indexReader.close();
  taxoReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and counts facets. */
private List<FacetResult> search() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(indexReader);

  // Aggregatses the facet counts
  FacetsCollector fc = new FacetsCollector();

  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);

  // Retrieve results
  Facets facets = new SortedSetDocValuesFacetCounts(state, fc);

  List<FacetResult> results = new ArrayList<>();
  results.add(facets.getTopChildren(10, "Author"));
  results.add(facets.getTopChildren(10, "Publish Year"));
  indexReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and counts facets. */
public FacetResult search() throws IOException {

  FacetsCollector fc = new FacetsCollector();

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

  Facets facets = new DoubleRangeFacetCounts("field", getDistanceValueSource(), fc,
                                             getBoundingBoxFilter(ORIGIN_LATITUDE, ORIGIN_LONGITUDE, 10.0),
                                             ONE_KM,
                                             TWO_KM,
                                             FIVE_KM,
                                             TEN_KM);

  return facets.getTopChildren(10, "field");
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User runs a query and aggregates facets by summing their association values. */
private List<FacetResult> sumAssociations() throws IOException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);
  
  FacetsCollector fc = new FacetsCollector();
  
  // MatchAllDocsQuery is for "browsing" (counts facets
  // for all non-deleted docs in the index); normally
  // you'd use a "normal" query:
  FacetsCollector.search(searcher, new MatchAllDocsQuery(), 10, fc);
  
  Facets tags = new TaxonomyFacetSumIntAssociations("$tags", taxoReader, config, fc);
  Facets genre = new TaxonomyFacetSumFloatAssociations("$genre", taxoReader, config, fc);

  // Retrieve results
  List<FacetResult> results = new ArrayList<>();
  results.add(tags.getTopChildren(10, "tags"));
  results.add(genre.getTopChildren(10, "genre"));

  indexReader.close();
  taxoReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
@Override
public List<FacetResult> getAllDims(int topN) throws IOException {
  int ord = children[TaxonomyReader.ROOT_ORDINAL];
  List<FacetResult> results = new ArrayList<>();
  while (ord != TaxonomyReader.INVALID_ORDINAL) {
    String dim = taxoReader.getPath(ord).components[0];
    FacetsConfig.DimConfig dimConfig = config.getDimConfig(dim);
    if (dimConfig.indexFieldName.equals(indexFieldName)) {
      FacetResult result = getTopChildren(topN, dim);
      if (result != null) {
        results.add(result);
      }
    }
    ord = siblings[ord];
  }

  // Sort by highest value, tie break by dim:
  Collections.sort(results, BY_VALUE_THEN_DIM);
  return results;
}
 

import org.apache.lucene.facet.FacetResult; //导入依赖的package包/类
/** User drills down on 'Publish Year/2010'. */
private FacetResult drillDown() throws IOException {
	DirectoryReader indexReader = DirectoryReader.open(directory);
	IndexSearcher searcher = new IndexSearcher(indexReader);
	SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(indexReader);
	
	// Now user drills down on Publish Year/2010:
	DrillDownQuery q = new DrillDownQuery(config);
	q.add("Publish Year", "2010");
	FacetsCollector fc = new FacetsCollector();
	FacetsCollector.search(searcher, q, 10, fc);
	
	// Retrieve results
	Facets facets = new SortedSetDocValuesFacetCounts(state, fc);
	FacetResult result = facets.getTopChildren(10, "Author");
	indexReader.close();
	
	return result;
}