标签:lucene termquery termrangequery wildcardquery fuzzyquery
以下这几种lucene内置查询对象,不过在实际的项目开发中,这种查询方式应用的不多。一般用QueryParser去获取查询对象。因为QueryParser内部基本实现了所有的内置查询对象。
这是最常见的QueryParse的写法
/** * 通过QueryParser去获取查询对象 * * @throws ParseException */ @Test public void searchByQueryParse() throws ParseException { // 1创建QueryParser对象,默认域为content,可以改变 QueryParser parser = new QueryParser(Version.LUCENE_35, "content", new StandardAnalyzer(Version.LUCENE_35)); // 改变空格的默认操作符,以下可以改为AND parser.setDefaultOperator(Operator.AND); // 开启第一个字符的通配查询,默认是关闭的,太消耗性能 parser.setAllowLeadingWildcard(true); // 搜索包含content中包含like的 Query query = parser.parse("like"); // 查询content中,basketball 和 basketball 的文档 query = parser.parse("basketball football"); // 改变搜索域 query = parser.parse("name:make"); // 用*或者? 通配符匹配 query = parser.parse("name:j*"); // 通配符默认不能放在首位 query = parser.parse("email:*@itat.org"); // 查询 名字中没mike,content中like的。 +和- 必须要放在前面 query = parser.parse("- name:mike + like"); // 匹配一个区间,TO必须大写 query = parser.parse("id:[1 TO 6]"); // 开区间 query = parser.parse("id:{1 TO 3}"); /** * 查询字符串中空格的,加上“” 完全匹配 */ query = parser.parse("\"I like football\""); // 查询I和football中一个字符距离的 query = parser.parse("\"I football\"~1"); // 没办法匹配数字范围,必须要自定义 query = parser.parse("attach:[2 TO 10]"); // 模糊匹配 query = parser.parse("name:make~"); su.searchByQueryParse(query, 10); }
/** * 备注:这里的精确匹配查询,是匹配索引文件中的词。 * 如果 是搜索英文,忽视大小写 * @param field * @param name * @param num */ public void searchByTerm(String field,String name,int num) { try { IndexSearcher searcher = getSearcher(); Query query = new TermQuery(new Term(field,name)); TopDocs tds = searcher.search(query, num); String[] path = FieldCache.DEFAULT.getStrings(reader, "name"); System.out.println(path.length); for(String p:path){ System.out.println(p); } System.out.println("查询总数:"+tds.totalHits); for(ScoreDoc sd:tds.scoreDocs) { //System.out.println(sd.score);-查询得分信息 Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }多值查询(BooleanQuery)可以用来连接多个子查询:
/** * 多值查询 * @param num */ public void searchByBoolean(int num) { try { IndexSearcher searcher = getSearcher(); BooleanQuery query = new BooleanQuery(); /* * BooleanQuery连接多值查询 * Occur.MUST表示必须出现 * Occur.SHOULD表示可以出现 * Occur.MUSE_NOT表示必须不能出现 */ query.add(new TermQuery(new Term("name","zhangsan")), Occur.MUST_NOT); query.add(new TermQuery(new Term("content","game")),Occur.SHOULD); TopDocs tds = searcher.search(query, num); System.out.println("命中数:"+tds.totalHits); for(ScoreDoc sd:tds.scoreDocs) { Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }
/** * @param args */ public static void main(String[] args) { // TODO Auto-generated method stub String dir = "D:\\user"; try { Directory directory = FSDirectory.open(new File(dir)); @SuppressWarnings("deprecation") IndexReader reader = IndexReader.open(directory); IndexSearcher indexSearcher = new IndexSearcher(reader); /** * 范围搜索 */ Term begin = new Term("datetime", "191111"); Term end = new Term("datetime", "198108"); /** * 参数Boolean值说明 false表示不包含 191111 true 表示包含198108 这两个Boolean表示查询结果 * 是否包含lower,upper两个临界值 */ TermRangeQuery termRangeQuery = new TermRangeQuery("datetime", begin.bytes(), end.bytes(), false, true); TopDocs topDocs = indexSearcher.search(termRangeQuery, 10); ScoreDoc scoreDocs[] = topDocs.scoreDocs; for (int i = 0; i < scoreDocs.length; i++) { Document document = indexSearcher.doc(scoreDocs[i].doc); System.out.println(document.get("id")); System.out.println(document.get("name")); System.out.println(document.get("text")); System.out.println(document.get("datetime")); } directory.close(); } catch (IOException e) { // TODO Auto-generated catch block e.printStackTrace(); } }
public void searchByNumricRange(String field,int start,int end,int num) { try { IndexSearcher searcher = getSearcher(); Query query = NumericRangeQuery.newIntRange(field,start, end,true,true); TopDocs tds = searcher.search(query, num); System.out.println("命中数量:"+tds.totalHits); for(ScoreDoc sd:tds.scoreDocs) { Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }
/** * 前缀搜索 * @param field * @param value * @param num */ public void searchByPrefix(String field,String value,int num) { try { IndexSearcher searcher = getSearcher(); Query query = new PrefixQuery(new Term(field,value)); TopDocs tds = searcher.search(query, num); System.out.println("命中数:"+tds.totalHits); for(ScoreDoc sd:tds.scoreDocs) { Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }
/** * 通配符查询 ?和* * @param field * @param value * @param num */ public void searchByWildcard(String field,String value,int num) { try { IndexSearcher searcher = getSearcher(); //在传入的value中可以使用通配符?和*,问号表示匹配一个字符,*表示匹配任意多个字符 Query query = new WildcardQuery(new Term(field,value)); TopDocs tds = searcher.search(query, num); System.out.println("一共命中数:"+tds.totalHits); for(ScoreDoc sd:tds.scoreDocs) { Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }
public void searchByPhrase(int num) { try { IndexSearcher searcher = getSearcher(); PhraseQuery query = new PhraseQuery(); //设置跳数 query.setSlop(3); query.add(new Term("content","pingpeng")); //第一个Term query.add(new Term("content","i")); //产生距离之后的第一个Term // query.add(new Term("content","football")); TopDocs tds = searcher.search(query, num); System.out.println("命中数:"+tds.totalHits); for(ScoreDoc sd:tds.scoreDocs) { Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }
public void searchByFuzzy(int num) { try { IndexSearcher searcher = getSearcher(); //调整相似读 FuzzyQuery query = new FuzzyQuery(new Term("name","mase"),0.4f,0); System.out.println(query.getPrefixLength()); System.out.println(query.getMinSimilarity()); TopDocs tds = searcher.search(query, num); for(ScoreDoc sd:tds.scoreDocs) { Document doc = searcher.doc(sd.doc); System.out.println(doc.get("id")+"---->"+ doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+ doc.get("attach")+","+doc.get("date")); } searcher.close(); } catch (CorruptIndexException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } }
标签:lucene termquery termrangequery wildcardquery fuzzyquery
原文地址:http://blog.csdn.net/hu948162999/article/details/41702705