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. 

示例代碼

@Test
    public void testTermRangeFilter(){
        try {
            String path = "D:\\LuceneEx\\day01";
            String keyword = "android";
            File file = new File(path);
            Directory mdDirectory = FSDirectory.open(file);
            // 使用 商業分詞器
            Analyzer mAnalyzer = new IKAnalyzer();

            IndexReader reader = IndexReader.open(mdDirectory);

            IndexSearcher searcher = new IndexSearcher(reader);

            String[] fields = { "title", "category" }; // (在多個Filed中搜索)
            QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_36,
                    fields, mAnalyzer);
            Query query = parser.parse(keyword);

            //查詢publishTime範圍在2011-09 - 2012-06之間的記錄
            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). 

示例代碼

@Test
    public void testNumericRangeFilter(){
        try {
            String path = "D:\\LuceneEx\\day02";
            String keyword = "android";
            File file = new File(path);
            Directory mdDirectory = FSDirectory.open(file);
            // 使用 商業分詞器
            Analyzer mAnalyzer = new IKAnalyzer();

            IndexReader reader = IndexReader.open(mdDirectory);

            IndexSearcher searcher = new IndexSearcher(reader);

            String[] fields = { "title", "category" }; // (在多個Filed中搜索)
            QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_36,
                    fields, mAnalyzer);
            Query query = parser.parse(keyword);

            //過濾 reputation 在9.0f到 9.8 分之間 的記錄
            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();
        }
    }