Lucene 6.0 实战(3)-各种Field查询操作 发表于 2016-05-20 | 更新于 2017-11-20 | 分类于 Programming Notes | | 阅读次数: 本文字数: 10k | 阅读时长 ≈ 0:09 IntPoint查询XXXPoint类中提供了一些常用的静态工厂查询方法,可以直接用来构建查询语句。12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849@Testpublic void testIntPointQuery() throws IOException { Directory directory = new RAMDirectory(); IndexWriter indexWriter = new IndexWriter(directory, new IndexWriterConfig(new StandardAnalyzer())); Document document = new Document(); Field intPoint = new IntPoint("age", 11); document.add(intPoint); intPoint = new StoredField("age", 11); document.add(intPoint); indexWriter.addDocument(document); Field intPoint1 = new IntPoint("age", 22); document = new Document(); document.add(intPoint1); intPoint1 = new StoredField("age", 22); document.add(intPoint1); indexWriter.addDocument(document); indexWriter.close(); IndexSearcher indexSearcher = new IndexSearcher(DirectoryReader.open(directory)); //精确查询 Query query = IntPoint.newExactQuery("age", 11); ScoreDoc[] scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("精确查询:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,不包含边界 query = IntPoint.newRangeQuery("age", Math.addExact(11, 1), Math.addExact(22, -1)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("不包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,包含边界 query = IntPoint.newRangeQuery("age", 11, 22); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,左包含,右不包含 query = IntPoint.newRangeQuery("age", 11, Math.addExact(22, -1)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("左包含右不包含:" + indexSearcher.doc(scoreDoc.doc)); } //集合查询 query = IntPoint.newSetQuery("age", 11, 22, 33); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("集合查询:" + indexSearcher.doc(scoreDoc.doc)); }} 输出结果如下123456精确查询:Document<stored<age:11>>包含边界:Document<stored<age:11>>包含边界:Document<stored<age:22>>左包含右不包含:Document<stored<age:11>>集合查询:Document<stored<age:11>>集合查询:Document<stored<age:22>> LongPoint查询12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849@Testpublic void testLongPointQuery() throws IOException { Directory directory = new RAMDirectory(); IndexWriter indexWriter = new IndexWriter(directory, new IndexWriterConfig(new StandardAnalyzer())); Document document = new Document(); Field longPoint = new LongPoint("age", 11); document.add(longPoint); longPoint = new StoredField("age", 11); document.add(longPoint); indexWriter.addDocument(document); longPoint = new LongPoint("age", 22); document = new Document(); document.add(longPoint); longPoint = new StoredField("age", 22); document.add(longPoint); indexWriter.addDocument(document); indexWriter.close(); IndexSearcher indexSearcher = new IndexSearcher(DirectoryReader.open(directory)); //精确查询 Query query = LongPoint.newExactQuery("age", 11); ScoreDoc[] scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("精确查询:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,不包含边界 query = LongPoint.newRangeQuery("age", Math.addExact(11, 1), Math.addExact(22, -1)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("不包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,包含边界 query = LongPoint.newRangeQuery("age", 11, 22); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,左包含,右不包含 query = LongPoint.newRangeQuery("age", 11, Math.addExact(22, -1)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("左包含右不包含:" + indexSearcher.doc(scoreDoc.doc)); } //集合查询 query = LongPoint.newSetQuery("age", 11, 22, 33); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("集合查询:" + indexSearcher.doc(scoreDoc.doc)); }} 输出结果如下123456精确查询:Document<stored<age:11>>包含边界:Document<stored<age:11>>包含边界:Document<stored<age:22>>左包含右不包含:Document<stored<age:11>>集合查询:Document<stored<age:11>>集合查询:Document<stored<age:22>> FloatPoint查询12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849@Testpublic void testFloatPointQuery() throws IOException { Directory directory = new RAMDirectory(); IndexWriter indexWriter = new IndexWriter(directory, new IndexWriterConfig(new StandardAnalyzer())); Document document = new Document(); Field floatPoint = new FloatPoint("age", 11.1f); document.add(floatPoint); floatPoint = new StoredField("age", 11.1f); document.add(floatPoint); indexWriter.addDocument(document); floatPoint = new FloatPoint("age", 22.2f); document = new Document(); document.add(floatPoint); floatPoint = new StoredField("age", 22.2f); document.add(floatPoint); indexWriter.addDocument(document); indexWriter.close(); IndexSearcher indexSearcher = new IndexSearcher(DirectoryReader.open(directory)); //精确查询 Query query = FloatPoint.newExactQuery("age", 11.1f); ScoreDoc[] scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("精确查询:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,不包含边界 query = FloatPoint.newRangeQuery("age", Math.nextUp(11.1f), Math.nextDown(22.2f)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("不包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,包含边界 query = FloatPoint.newRangeQuery("age", 11.1f, 22.2f); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,左包含,右不包含 query = FloatPoint.newRangeQuery("age", 11.1f, Math.nextDown(22.2f)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("左包含右不包含:" + indexSearcher.doc(scoreDoc.doc)); } //集合查询 query = FloatPoint.newSetQuery("age", 11.1f, 22.2f, 33.3f); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("集合查询:" + indexSearcher.doc(scoreDoc.doc)); }} 输出结果如下123456精确查询:Document<stored<age:11.1>>包含边界:Document<stored<age:11.1>>包含边界:Document<stored<age:22.2>>左包含右不包含:Document<stored<age:11.1>>集合查询:Document<stored<age:11.1>>集合查询:Document<stored<age:22.2>> DoublePoint查询12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849@Testpublic void testDoublePointQuery() throws IOException { Directory directory = new RAMDirectory(); IndexWriter indexWriter = new IndexWriter(directory, new IndexWriterConfig(new StandardAnalyzer())); Document document = new Document(); Field doublePoint = new DoublePoint("age", 11.1); document.add(doublePoint); doublePoint = new StoredField("age", 11.1); document.add(doublePoint); indexWriter.addDocument(document); doublePoint = new DoublePoint("age", 22.2); document = new Document(); document.add(doublePoint); doublePoint = new StoredField("age", 22.2); document.add(doublePoint); indexWriter.addDocument(document); indexWriter.close(); IndexSearcher indexSearcher = new IndexSearcher(DirectoryReader.open(directory)); //精确查询 Query query = DoublePoint.newExactQuery("age", 11.1); ScoreDoc[] scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("精确查询:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,不包含边界 query = DoublePoint.newRangeQuery("age", Math.nextUp(11.1), Math.nextDown(22.2)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("不包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,包含边界 query = DoublePoint.newRangeQuery("age", 11.1, 22.2); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("包含边界:" + indexSearcher.doc(scoreDoc.doc)); } //范围查询,左包含,右不包含 query = DoublePoint.newRangeQuery("age", 11.1, Math.nextDown(22.2)); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("左包含右不包含:" + indexSearcher.doc(scoreDoc.doc)); } //集合查询 query = DoublePoint.newSetQuery("age", 11.1, 22.2, 33.3); scoreDocs = indexSearcher.search(query, 10).scoreDocs; for (ScoreDoc scoreDoc : scoreDocs) { System.out.println("集合查询:" + indexSearcher.doc(scoreDoc.doc)); }} 输出结果如下123456精确查询:Document<stored<age:11.1>>包含边界:Document<stored<age:11.1>>包含边界:Document<stored<age:22.2>>左包含右不包含:Document<stored<age:11.1>>集合查询:Document<stored<age:11.1>>集合查询:Document<stored<age:22.2>> 本文作者: Wang Xu 本文链接: http://www.codepub.cn/2016/05/20/Lucene-6-0-in-action-3-A-variety-of-Field-query-operation/ 版权声明: 本博客所有文章除特别声明外,均采用 CC BY-SA 4.0 许可协议。转载请注明出处!