// for all non-deleted docs in the index); normally
// you'd use a "normal" query, and use MultiCollector to
// wrap collecting the "normal" hits and also facets:
searcher.search(new MatchAllDocsQuery(), c);
Facets facets = new FastTaxonomyFacetCounts(taxoReader, config, c);
// Retrieve & verify results:
assertEquals("dim=Publish Date path=[] value=5 childCount=3\n 2010 (2)\n 2012 (2)\n 1999 (1)\n", facets.getTopChildren(10, "Publish Date").toString());
assertEquals("dim=Author path=[] value=5 childCount=4\n Lisa (2)\n Bob (1)\n Susan (1)\n Frank (1)\n", facets.getTopChildren(10, "Author").toString());
// Now user drills down on Publish Date/2010:
DrillDownQuery q2 = new DrillDownQuery(config);
q2.add("Publish Date", "2010");
c = new FacetsCollector();
searcher.search(q2, c);
facets = new FastTaxonomyFacetCounts(taxoReader, config, c);
assertEquals("dim=Author path=[] value=2 childCount=2\n Bob (1)\n Lisa (1)\n", facets.getTopChildren(10, "Author").toString());
assertEquals(1, facets.getSpecificValue("Author", "Lisa"));
assertNull(facets.getTopChildren(10, "Non exitent dim"));
// Smoke test PrintTaxonomyStats:
ByteArrayOutputStream bos = new ByteArrayOutputStream();
PrintTaxonomyStats.printStats(taxoReader, new PrintStream(bos, false, "UTF-8"), true);
String result = bos.toString("UTF-8");