Java FacetsCollector.search方法代码示例

import org.apache.lucene.facet.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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.FacetsCollector; //导入方法依赖的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;
}
 

import org.apache.lucene.facet.FacetsCollector; //导入方法依赖的package包/类
private SearchResults doSearch(SearchQuery query, DirectoryReader reader)
        throws IOException, ParseException {
    try {
        IndexSearcher searcher = new IndexSearcher(reader);
        SortedSetDocValuesReaderState state = new DefaultSortedSetDocValuesReaderState(
                reader);
        FacetsCollector fc = new FacetsCollector();
        TopDocs docs = FacetsCollector.search(searcher, makeQuery(query),
                reader.numDocs(), fc);
        Facets facets = new SortedSetDocValuesFacetCounts(state, fc);

        return new LuceneSearchResults(searcher, docs, query.getStart(),
                query.getRows(), facets);
    } finally {
        reader.close();
    }
}
 

import org.apache.lucene.facet.FacetsCollector; //导入方法依赖的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);
  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 author = new FastTaxonomyFacetCounts("author", taxoReader, config, fc);
  results.add(author.getTopChildren(10, "Author"));

  Facets pubDate = new FastTaxonomyFacetCounts("pubdate", taxoReader, config, fc);
  results.add(pubDate.getTopChildren(10, "Publish Date"));
  
  indexReader.close();
  taxoReader.close();
  
  return results;
}
 

import org.apache.lucene.facet.FacetsCollector; //导入方法依赖的package包/类
/** User runs a query and aggregates facets. */
private FacetResult search() throws IOException, ParseException {
  DirectoryReader indexReader = DirectoryReader.open(indexDir);
  IndexSearcher searcher = new IndexSearcher(indexReader);
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir);

  // Aggregate categories by an expression that combines the document's score
  // and its popularity field
  Expression expr = JavascriptCompiler.compile("_score * sqrt(popularity)");
  SimpleBindings bindings = new SimpleBindings();
  bindings.add(new SortField("_score", SortField.Type.SCORE)); // the score of the document
  bindings.add(new SortField("popularity", SortField.Type.LONG)); // the value of the 'popularity' field

  // Aggregates the facet values
  FacetsCollector fc = new FacetsCollector(true);

  // 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 TaxonomyFacetSumValueSource(taxoReader, config, fc, expr.getValueSource(bindings));
  FacetResult result = facets.getTopChildren(10, "A");
  
  indexReader.close();
  taxoReader.close();
  
  return result;
}
 

import org.apache.lucene.facet.FacetsCollector; //导入方法依赖的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);
  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 author = new FastTaxonomyFacetCounts("author", taxoReader, config, fc);
  results.add(author.getTopChildren(10, "Author"));

  Facets pubDate = new FastTaxonomyFacetCounts("pubdate", taxoReader, config, fc);
  results.add(pubDate.getTopChildren(10, "Publish Date"));
  
  indexReader.close();
  taxoReader.close();
  
  return results;
}