Lucene3.6 之 Filter

1、TermRangeFilter

A Filter that restricts search results to a range of term values in a given field. 

This filter matches the documents looking for terms that fall into the supplied range according to Byte.compareTo(Byte), It is not intended for numerical ranges; use NumericRangeFilter instead. 

If you construct a large number of range filters with different ranges but on the same field, FieldCacheRangeFilter may have significantly better performance. 

示例代码

@Testpublic void testTermRangeFilter(){try {String path = "D:\\LuceneEx\\day01";String keyword = "android";File file = new File(path);Directory mdDirectory = FSDirectory.open(file);// 使用 商业分词器Analyzer mAnalyzer = new IKAnalyzer();IndexReader reader = IndexReader.open(mdDirectory);IndexSearcher searcher = new IndexSearcher(reader);String[] fields = { "title", "category" }; // (在多个Filed中搜索)QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_36,fields, mAnalyzer);Query query = parser.parse(keyword);//查询publishTime范围在2011-09 - 2012-06之间的记录Filter filter = new TermRangeFilter("publishTime", "2011-09", "2012-06", true, true);TopDocs tops = searcher.search(query, filter, 100);int count = tops.totalHits;System.out.println("totalHits=" + count);ScoreDoc[] docs = tops.scoreDocs;for (int i = 0; i < docs.length; i++) {Document doc = searcher.doc(docs[i].doc);float score = docs[i].score;int id = Integer.parseInt(doc.get("id"));String title = doc.get("title");String author = doc.get("author");String publishTime = doc.get("publishTime");String source = doc.get("source");String category = doc.get("category");float reputation = Float.parseFloat(doc.get("reputation"));System.out.println(id + "\t" + title + "\t" + author + "\t"+ publishTime + "\t" + source + "\t" + category + "\t"+ reputation+"\t"+score);}reader.close();searcher.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} catch (ParseException e) {e.printStackTrace();}}

2、NumericRangeFilter

A Filter that only accepts numeric values within a specified range. To use this, you must first index the numeric values using IntField, FloatField, LongField or DoubleField (expert: NumericTokenStream). 

示例代码

@Testpublic void testNumericRangeFilter(){try {String path = "D:\\LuceneEx\\day02";String keyword = "android";File file = new File(path);Directory mdDirectory = FSDirectory.open(file);// 使用 商业分词器Analyzer mAnalyzer = new IKAnalyzer();IndexReader reader = IndexReader.open(mdDirectory);IndexSearcher searcher = new IndexSearcher(reader);String[] fields = { "title", "category" }; // (在多个Filed中搜索)QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_36,fields, mAnalyzer);Query query = parser.parse(keyword);//过滤 reputation 在9.0f到 9.8 分之间 的记录Filter filter = NumericRangeFilter.newFloatRange("reputation", 9.0f, 9.8f, true, true);TopDocs tops = searcher.search(query, filter, 100);int count = tops.totalHits;System.out.println("totalHits=" + count);ScoreDoc[] docs = tops.scoreDocs;for (int i = 0; i < docs.length; i++) {Document doc = searcher.doc(docs[i].doc);float score = docs[i].score;int id = Integer.parseInt(doc.get("id"));String title = doc.get("title");String author = doc.get("author");String publishTime = doc.get("publishTime");String source = doc.get("source");String category = doc.get("category");float reputation = Float.parseFloat(doc.get("reputation"));System.out.println(id + "\t" + title + "\t" + author + "\t"+ publishTime + "\t" + source + "\t" + category + "\t"+ reputation+"\t"+score);}reader.close();searcher.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} catch (ParseException e) {e.printStackTrace();}}