org.apache.lucene.facet.FacetResult Java Examples

/** 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,
                                             getBoundingBoxQuery(ORIGIN_LATITUDE, ORIGIN_LONGITUDE, 10.0),
                                             ONE_KM,
                                             TWO_KM,
                                             FIVE_KM,
                                             TEN_KM);

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

public void testGetFacetResultsTwice() throws Exception {
  // LUCENE-4893: counts were multiplied as many times as getFacetResults was called.
  Directory indexDir = newDirectory();
  Directory taxoDir = newDirectory();
  
  DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
  IndexWriter iw = new IndexWriter(indexDir, newIndexWriterConfig(new MockAnalyzer(random())));
  FacetsConfig config = new FacetsConfig();

  Document doc = new Document();
  doc.add(new FacetField("a", "1"));
  doc.add(new FacetField("b", "1"));
  iw.addDocument(config.build(taxoWriter, doc));
  
  DirectoryReader r = DirectoryReader.open(iw);
  DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);

  Facets facets = getAllFacets(FacetsConfig.DEFAULT_INDEX_FIELD_NAME, newSearcher(r), taxoReader, config);
  
  List<FacetResult> res1 = facets.getAllDims(10);
  List<FacetResult> res2 = facets.getAllDims(10);
  assertEquals("calling getFacetResults twice should return the .equals()=true result", res1, res2);

  iw.close();
  IOUtils.close(taxoWriter, taxoReader, taxoDir, r, indexDir);
}
 

/** 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");
}
 

/** 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;
}
 

/** Runs the search and drill-down examples and prints the results. */
public static void main(String[] args) throws Exception {
	init();

	System.out.println("Facet counting example:");
	System.out.println("-----------------------");
	FacetStorageTest example = new FacetStorageTest();
	List<FacetResult> results = example.runSearch();
	System.out.println("Author: " + results.get(0));
	System.out.println("Publish Year: " + results.get(1));
	
	System.out.println("\n");
	System.out.println("Facet drill-down example (Publish Year/2010):");
	System.out.println("---------------------------------------------");
	System.out.println("Author: " + example.runDrillDown());
}
 

@Override
public List<FacetResult> getAllDims(int topN) throws IOException {
  int[] children = getChildren();
  int[] siblings = getSiblings();
  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;
}
 

/** 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;
}
 

/** 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;
}
 

/** 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;
}
 

/** 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;
}
 

/** 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;
}
 

/** 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;
}
 

/** 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;
}
 

/** 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);
  }
}
 

public void testBasicLong() throws Exception {
  Directory d = newDirectory();
  RandomIndexWriter w = new RandomIndexWriter(random(), d);
  Document doc = new Document();
  NumericDocValuesField field = new NumericDocValuesField("field", 0L);
  doc.add(field);
  for(long l=0;l<100;l++) {
    field.setLongValue(l);
    w.addDocument(doc);
  }

  // Also add Long.MAX_VALUE
  field.setLongValue(Long.MAX_VALUE);
  w.addDocument(doc);

  IndexReader r = w.getReader();
  w.close();

  FacetsCollector fc = new FacetsCollector();
  IndexSearcher s = newSearcher(r);
  s.search(new MatchAllDocsQuery(), fc);

  Facets facets = new LongRangeFacetCounts("field", fc,
      new LongRange("less than 10", 0L, true, 10L, false),
      new LongRange("less than or equal to 10", 0L, true, 10L, true),
      new LongRange("over 90", 90L, false, 100L, false),
      new LongRange("90 or above", 90L, true, 100L, false),
      new LongRange("over 1000", 1000L, false, Long.MAX_VALUE, true));

  FacetResult result = facets.getTopChildren(10, "field");
  assertEquals("dim=field path=[] value=22 childCount=5\n  less than 10 (10)\n  less than or equal to 10 (11)\n  over 90 (9)\n  90 or above (10)\n  over 1000 (1)\n",
               result.toString());
  
  r.close();
  d.close();
}
 

public void testOverlappedEndStart() throws Exception {
  Directory d = newDirectory();
  RandomIndexWriter w = new RandomIndexWriter(random(), d);
  Document doc = new Document();
  NumericDocValuesField field = new NumericDocValuesField("field", 0L);
  doc.add(field);
  for(long l=0;l<100;l++) {
    field.setLongValue(l);
    w.addDocument(doc);
  }
  field.setLongValue(Long.MAX_VALUE);
  w.addDocument(doc);

  IndexReader r = w.getReader();
  w.close();

  FacetsCollector fc = new FacetsCollector();
  IndexSearcher s = newSearcher(r);
  s.search(new MatchAllDocsQuery(), fc);

  Facets facets = new LongRangeFacetCounts("field", fc,
      new LongRange("0-10", 0L, true, 10L, true),
      new LongRange("10-20", 10L, true, 20L, true),
      new LongRange("20-30", 20L, true, 30L, true),
      new LongRange("30-40", 30L, true, 40L, true));
  
  FacetResult result = facets.getTopChildren(10, "field");
  assertEquals("dim=field path=[] value=41 childCount=4\n  0-10 (11)\n  10-20 (11)\n  20-30 (11)\n  30-40 (11)\n",
               result.toString());
  
  r.close();
  d.close();
}
 

public void testLongMinMax() throws Exception {

    Directory d = newDirectory();
    RandomIndexWriter w = new RandomIndexWriter(random(), d);
    Document doc = new Document();
    NumericDocValuesField field = new NumericDocValuesField("field", 0L);
    doc.add(field);
    field.setLongValue(Long.MIN_VALUE);
    w.addDocument(doc);
    field.setLongValue(0);
    w.addDocument(doc);
    field.setLongValue(Long.MAX_VALUE);
    w.addDocument(doc);

    IndexReader r = w.getReader();
    w.close();

    FacetsCollector fc = new FacetsCollector();
    IndexSearcher s = newSearcher(r);
    s.search(new MatchAllDocsQuery(), fc);

    Facets facets = new LongRangeFacetCounts("field", fc,
        new LongRange("min", Long.MIN_VALUE, true, Long.MIN_VALUE, true),
        new LongRange("max", Long.MAX_VALUE, true, Long.MAX_VALUE, true),
        new LongRange("all0", Long.MIN_VALUE, true, Long.MAX_VALUE, true),
        new LongRange("all1", Long.MIN_VALUE, false, Long.MAX_VALUE, true),
        new LongRange("all2", Long.MIN_VALUE, true, Long.MAX_VALUE, false),
        new LongRange("all3", Long.MIN_VALUE, false, Long.MAX_VALUE, false));

    FacetResult result = facets.getTopChildren(10, "field");
    assertEquals("dim=field path=[] value=3 childCount=6\n  min (1)\n  max (1)\n  all0 (3)\n  all1 (2)\n  all2 (2)\n  all3 (1)\n",
                 result.toString());
    
    r.close();
    d.close();
  }
 

public void testLongGetAllDims() throws Exception {
  Directory d = newDirectory();
  RandomIndexWriter w = new RandomIndexWriter(random(), d);
  Document doc = new Document();
  NumericDocValuesField field = new NumericDocValuesField("field", 0L);
  doc.add(field);
  for(long l=0;l<100;l++) {
    field.setLongValue(l);
    w.addDocument(doc);
  }

  // Also add Long.MAX_VALUE
  field.setLongValue(Long.MAX_VALUE);
  w.addDocument(doc);

  IndexReader r = w.getReader();
  w.close();

  FacetsCollector fc = new FacetsCollector();
  IndexSearcher s = newSearcher(r);
  s.search(new MatchAllDocsQuery(), fc);

  Facets facets = new LongRangeFacetCounts("field", fc,
      new LongRange("less than 10", 0L, true, 10L, false),
      new LongRange("less than or equal to 10", 0L, true, 10L, true),
      new LongRange("over 90", 90L, false, 100L, false),
      new LongRange("90 or above", 90L, true, 100L, false),
      new LongRange("over 1000", 1000L, false, Long.MAX_VALUE, true));

  List<FacetResult> result = facets.getAllDims(10);
  assertEquals(1, result.size());
  assertEquals("dim=field path=[] value=22 childCount=5\n  less than 10 (10)\n  less than or equal to 10 (11)\n  over 90 (9)\n  90 or above (10)\n  over 1000 (1)\n",
               result.get(0).toString());
  
  r.close();
  d.close();
}
 

@Override
public FacetResult getTopChildren(int topN, String dim, String... path) throws IOException {
  if (topN <= 0) {
    throw new IllegalArgumentException("topN must be > 0 (got: " + topN + ")");
  }
  if (path.length > 0) {
    throw new IllegalArgumentException("path should be 0 length");
  }
  OrdRange ordRange = state.getOrdRange(dim);
  if (ordRange == null) {
    throw new IllegalArgumentException("dimension \"" + dim + "\" was not indexed");
  }
  return getDim(dim, ordRange, topN);
}
 

@Override
public int compare(FacetResult a, FacetResult b) {
  if (a.value.doubleValue() > b.value.doubleValue()) {
    return -1;
  } else if (b.value.doubleValue() > a.value.doubleValue()) {
    return 1;
  } else {
    return a.dim.compareTo(b.dim);
  }
}
 

@Override
public List<FacetResult> getAllDims(int topN) throws IOException {

  List<FacetResult> results = new ArrayList<>();
  for(Map.Entry<String,OrdRange> ent : state.getPrefixToOrdRange().entrySet()) {
    FacetResult fr = getDim(ent.getKey(), ent.getValue(), topN);
    if (fr != null) {
      results.add(fr);
    }
  }

  // Sort by highest count:
  Collections.sort(results,
                   new Comparator<FacetResult>() {
                     @Override
                     public int compare(FacetResult a, FacetResult b) {
                       if (a.value.intValue() > b.value.intValue()) {
                         return -1;
                       } else if (b.value.intValue() > a.value.intValue()) {
                         return 1;
                       } else {
                         return a.dim.compareTo(b.dim);
                       }
                     }
                   });

  return results;
}
 

public void testSimple() throws Exception {
  DistanceFacetsExample example = new DistanceFacetsExample();
  example.index();
  FacetResult result = example.search();
  assertEquals("dim=field path=[] value=3 childCount=4\n  < 1 km (1)\n  < 2 km (2)\n  < 5 km (2)\n  < 10 km (3)\n", result.toString());
  example.close();
}
 

public void testLabelWithDelimiter() throws Exception {
  Directory dir = newDirectory();
  Directory taxoDir = newDirectory();
  RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
  DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir, IndexWriterConfig.OpenMode.CREATE);

  FacetsConfig config = new FacetsConfig();
  config.setMultiValued("dim", true);

  Document doc = new Document();
  doc.add(newTextField("field", "text", Field.Store.NO));
  doc.add(new FacetField("dim", "test\u001Fone"));
  doc.add(new FacetField("dim", "test\u001Etwo"));
  writer.addDocument(config.build(taxoWriter, doc));

  // NRT open
  IndexSearcher searcher = newSearcher(writer.getReader());

  // NRT open
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);

  Facets facets = getAllFacets(FacetsConfig.DEFAULT_INDEX_FIELD_NAME, searcher, taxoReader, config);
  
  assertEquals(1, facets.getSpecificValue("dim", "test\u001Fone"));
  assertEquals(1, facets.getSpecificValue("dim", "test\u001Etwo"));

  // no hierarchy
  assertFalse(((TaxonomyFacets) facets).siblingsLoaded());
  assertFalse(((TaxonomyFacets) facets).childrenLoaded());

  FacetResult result = facets.getTopChildren(10, "dim");
  assertEquals("dim=dim path=[] value=-1 childCount=2\n  test\u001Fone (1)\n  test\u001Etwo (1)\n", result.toString());
  writer.close();
  IOUtils.close(taxoWriter, searcher.getIndexReader(), taxoReader, dir, taxoDir);
}
 

@Override
public FacetResult getTopChildren(int topN, String dim, String... path) throws IOException {
  if (topN <= 0) {
    throw new IllegalArgumentException("topN must be > 0 (got: " + topN + ")");
  }
  if (path.length > 0) {
    throw new IllegalArgumentException("path should be 0 length");
  }
  OrdRange ordRange = state.getOrdRange(dim);
  if (ordRange == null) {
    throw new IllegalArgumentException("dimension \"" + dim + "\" was not indexed");
  }
  return getDim(dim, ordRange, topN);
}
 

@Test
public void testSimple() throws Exception {
  RangeFacetsExample example = new RangeFacetsExample();
  example.index();
  FacetResult result = example.search();
  assertEquals("dim=timestamp path=[] value=87 childCount=3\n  Past hour (4)\n  Past six hours (22)\n  Past day (87)\n", result.toString());
  example.close();
}
 

public void testManyFacetsInOneDocument() throws Exception {
  assumeTrue("default Codec doesn't support huge BinaryDocValues", TestUtil.fieldSupportsHugeBinaryDocValues(FacetsConfig.DEFAULT_INDEX_FIELD_NAME));
  Directory dir = newDirectory();
  Directory taxoDir = newDirectory();
  IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
  RandomIndexWriter writer = new RandomIndexWriter(random(), dir, iwc);
  DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir, IndexWriterConfig.OpenMode.CREATE);

  FacetsConfig config = new FacetsConfig();
  config.setMultiValued("dim", true);
  
  int numLabels = TEST_NIGHTLY ? TestUtil.nextInt(random(), 40000, 100000) : TestUtil.nextInt(random(), 4000, 10000);
  
  Document doc = new Document();
  doc.add(newTextField("field", "text", Field.Store.NO));
  for (int i = 0; i < numLabels; i++) {
    doc.add(new FacetField("dim", "" + i));
  }
  writer.addDocument(config.build(taxoWriter, doc));
  
  // NRT open
  IndexSearcher searcher = newSearcher(writer.getReader());
  
  // NRT open
  TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
  
  Facets facets = getAllFacets(FacetsConfig.DEFAULT_INDEX_FIELD_NAME, searcher, taxoReader, config);

  FacetResult result = facets.getTopChildren(Integer.MAX_VALUE, "dim");
  assertEquals(numLabels, result.labelValues.length);
  Set<String> allLabels = new HashSet<>();
  for (LabelAndValue labelValue : result.labelValues) {
    allLabels.add(labelValue.label);
    assertEquals(1, labelValue.value.intValue());
  }
  assertEquals(numLabels, allLabels.size());

  writer.close();
  IOUtils.close(searcher.getIndexReader(), taxoWriter, taxoReader, dir, taxoDir);
}
 

@Test
public void testExample() throws Exception {
  List<FacetResult> results = new MultiCategoryListsFacetsExample().runSearch();
  assertEquals(2, results.size());
  assertEquals("dim=Author path=[] value=5 childCount=4\n  Lisa (2)\n  Bob (1)\n  Susan (1)\n  Frank (1)\n", results.get(0).toString());
  assertEquals("dim=Publish Date path=[] value=5 childCount=3\n  2010 (2)\n  2012 (2)\n  1999 (1)\n", results.get(1).toString());
}
 

/** 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("_score", DoubleValuesSource.SCORES); // the score of the document
  bindings.add("popularity", DoubleValuesSource.fromLongField("popularity")); // 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.getDoubleValuesSource(bindings));
  FacetResult result = facets.getTopChildren(10, "A");
  
  indexReader.close();
  taxoReader.close();
  
  return result;
}
 

@Test
public void testExamples() throws Exception {
  List<FacetResult> res = new AssociationsFacetsExample().runSumAssociations();
  assertEquals("Wrong number of results", 2, res.size());
  assertEquals("dim=tags path=[] value=-1 childCount=2\n  lucene (4)\n  solr (2)\n", res.get(0).toString());
  assertEquals("dim=genre path=[] value=-1.0 childCount=2\n  computing (1.62)\n  software (0.34)\n", res.get(1).toString());
}
 

/** Runs the sum int/float associations examples and prints the results. */
public static void main(String[] args) throws Exception {
  System.out.println("Sum associations example:");
  System.out.println("-------------------------");
  List<FacetResult> results = new AssociationsFacetsExample().runSumAssociations();
  System.out.println("tags: " + results.get(0));
  System.out.println("genre: " + results.get(1));
}