List of usage examples for org.apache.lucene.search IndexSearcher IndexSearcher
public IndexSearcher(IndexReaderContext context)
From source file:com.concursive.connect.indexer.AbstractLuceneTest.java
License:Open Source License
protected IndexSearcher getSnowballSearcher() throws IOException { // Finish up//from w ww . j av a2 s . c o m snowballWriter.optimize(); // Update the shared searcher snowballSearcher = new IndexSearcher(snowballIndex); return snowballSearcher; }
From source file:com.concursive.connect.indexer.AbstractLuceneTest.java
License:Open Source License
protected IndexSearcher getStandardSearcher() throws IOException { // Finish up/*from w w w.j a v a2s . co m*/ standardWriter.optimize(); // Update the shared searcher standardSearcher = new IndexSearcher(standardIndex); return standardSearcher; }
From source file:com.concursive.connect.indexer.LuceneIndexerSearch.java
License:Open Source License
public void setup(Directory index, Analyzer analyzer, int indexType) throws IOException { this.indexType = indexType; try {/*from w ww . j av a 2s . c o m*/ this.searcher = new IndexSearcher(index); } catch (IOException e) { e.printStackTrace(); throw e; } this.analyzer = analyzer; }
From source file:com.czw.search.lucene.example.facet.AssociationsFacetsExample.java
License:Apache License
/** 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();/*from w w w .j a v a 2 s .com*/ taxoReader.close(); return results; }
From source file:com.czw.search.lucene.example.facet.AssociationsFacetsExample.java
License:Apache License
/** 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();//ww w. j av a 2 s . c om taxoReader.close(); return result; }
From source file:com.czw.search.lucene.example.facet.DistanceFacetsExample.java
License:Apache License
/** Build the example index. */ public void index() throws IOException { IndexWriter writer = new IndexWriter(indexDir, new IndexWriterConfig(new WhitespaceAnalyzer()).setOpenMode(OpenMode.CREATE)); // TODO: we could index in radians instead ... saves all the conversions in getBoundingBoxFilter // Add documents with latitude/longitude location: // we index these both as DoublePoints (for bounding box/ranges) and as NumericDocValuesFields (for scoring) Document doc = new Document(); doc.add(new DoublePoint("latitude", 40.759011)); doc.add(new NumericDocValuesField("latitude", Double.doubleToRawLongBits(40.759011))); doc.add(new DoublePoint("longitude", -73.9844722)); doc.add(new NumericDocValuesField("longitude", Double.doubleToRawLongBits(-73.9844722))); writer.addDocument(doc);//from www. j a v a 2s. c om doc = new Document(); doc.add(new DoublePoint("latitude", 40.718266)); doc.add(new NumericDocValuesField("latitude", Double.doubleToRawLongBits(40.718266))); doc.add(new DoublePoint("longitude", -74.007819)); doc.add(new NumericDocValuesField("longitude", Double.doubleToRawLongBits(-74.007819))); writer.addDocument(doc); doc = new Document(); doc.add(new DoublePoint("latitude", 40.7051157)); doc.add(new NumericDocValuesField("latitude", Double.doubleToRawLongBits(40.7051157))); doc.add(new DoublePoint("longitude", -74.0088305)); doc.add(new NumericDocValuesField("longitude", Double.doubleToRawLongBits(-74.0088305))); writer.addDocument(doc); // Open near-real-time searcher searcher = new IndexSearcher(DirectoryReader.open(writer)); writer.close(); }
From source file:com.czw.search.lucene.example.facet.ExpressionAggregationFacetsExample.java
License:Apache License
/** 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.getDoubleValuesSource(bindings)); FacetResult result = facets.getTopChildren(10, "A"); indexReader.close();//from w w w. j a va 2 s .co m taxoReader.close(); return result; }
From source file:com.czw.search.lucene.example.facet.MultiCategoryListsFacetsExample.java
License:Apache License
/** 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();//from w w w . ja va 2 s.c o m taxoReader.close(); return results; }
From source file:com.czw.search.lucene.example.facet.RangeFacetsExample.java
License:Apache License
/** Build the example index. */ public void index() throws IOException { IndexWriter indexWriter = new IndexWriter(indexDir, new IndexWriterConfig(new WhitespaceAnalyzer()).setOpenMode(OpenMode.CREATE)); // Add documents with a fake timestamp, 1000 sec before // "now", 2000 sec before "now", ...: for (int i = 0; i < 100; i++) { Document doc = new Document(); long then = nowSec - i * 1000; // Add as doc values field, so we can compute range facets: doc.add(new NumericDocValuesField("timestamp", then)); // Add as numeric field so we can drill-down: doc.add(new LongPoint("timestamp", then)); indexWriter.addDocument(doc);/*from www.ja va2 s . co m*/ } // Open near-real-time searcher searcher = new IndexSearcher(DirectoryReader.open(indexWriter)); indexWriter.close(); }
From source file:com.czw.search.lucene.example.facet.SimpleFacetsExample.java
License:Apache License
/** * User runs a query and counts facets.//from ww w . j av a2 s . co m */ 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")); results.add(facets.getTopChildren(10, "Category")); indexReader.close(); taxoReader.close(); return results; }