lucene---QueryParser用法示例

    package demo.first; 
     
    import java.io.IOException; 
    import java.util.Date; 
     
    import org.apache.lucene.analysis.standard.StandardAnalyzer; 
    import org.apache.lucene.document.Document; 
    import org.apache.lucene.document.Field; 
    import org.apache.lucene.index.CorruptIndexException; 
    import org.apache.lucene.index.IndexWriter; 
    import org.apache.lucene.queryParser.QueryParser; 
    import org.apache.lucene.search.Hits; 
    import org.apache.lucene.search.IndexSearcher; 
    import org.apache.lucene.search.Query; 
    import org.apache.lucene.search.Searcher; 
    import org.apache.lucene.store.LockObtainFailedException; 
     
    public class TestQueryParser { 
     
        public static void main(String[] args) throws CorruptIndexException, IOException { 
            String path = "D://workspace//fwk//lucenedemo//firstLuceneIndex"; 
            TestQueryParser tqp = new TestQueryParser(); 
            tqp.createIndex(path); 
            Searcher search = tqp.getSearcher(path); 
            System.out.println("#_2"); 
            tqp.testTime(search, tqp.getQueryParser2()); 
            System.out.println("#_1"); 
            tqp.testTime(search, tqp.getQueryParser1()); 
            System.out.println("#_3"); 
            tqp.testTime(search, tqp.getQueryParser3()); 
            System.out.println("#_4"); 
            tqp.testTime(search, tqp.getQueryParser4()); 
            System.out.println("#_5"); 
            tqp.testTime(search, tqp.getQueryParser5()); 
            System.out.println("#_6"); 
            tqp.testTime(search, tqp.getQueryParser6()); 
            System.out.println("#_7"); 
            tqp.testTime(search, tqp.getQueryParser7()); 
        } 
         
        public void testTime(Searcher search,Query query) throws IOException{ 
            Date start = new Date(); 
            Hits hits = search.search(query); 
            for (int i = 0; i < hits.length(); i++) { 
                System.out.println(hits.id(i)); 
                System.out.println(hits.doc(i)); 
                System.out.println(hits.score(i)); 
            } 
             
            System.out.println("本次搜索用时:" + ((new Date()).getTime() - start.getTime()) + "毫秒"); 
             
        } 
         
        public Searcher getSearcher(String path) throws CorruptIndexException, IOException{ 
                return new IndexSearcher(path); 
        } 
         
        public Query getQueryParser1(){ 
            //默认搜索字段 
            QueryParser queryParser = new QueryParser("content", new StandardAnalyzer()); 
            try { 
                return queryParser.parse("搜索 - 擎"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 
         
        public Query getQueryParser2(){ 
            QueryParser queryParser = new QueryParser("content", new StandardAnalyzer()); 
            try { 
                return queryParser.parse("欢迎"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 
         
        public Query getQueryParser3(){ 
            QueryParser queryParser = new QueryParser("content", new StandardAnalyzer()); 
            try { 
                return queryParser.parse("搜索 and 擎"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 
         
        public Query getQueryParser4(){ 
            QueryParser queryParser = new QueryParser("content", new StandardAnalyzer()); 
            try { 
                //content字段搜索 索引   title字段搜寻 你好 
                return queryParser.parse("索引 title:你好"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 
         
       public Query getQueryParser5(){ 
            QueryParser queryParser = new QueryParser("content", new StandardAnalyzer()); 
            //允许使用正则表达式方式 
            queryParser.setAllowLeadingWildcard(true); 
            try { 
                return queryParser.parse("*索*"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 

        /**
         * 采用标准分词器StandardAnalyzer会在创建索引的时候把存入的英文全部换成小写放在索引中 查询的时候也会将查询的关键词转为小写进行查询
         * @return
         */ 
        public Query getQueryParser6(){ 
            QueryParser queryParser = new QueryParser("testCapital", new StandardAnalyzer()); 
            try { 
                return queryParser.parse("hellOwangzi"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 
         
        /**
         * 采用标准分词器StandardAnalyzer会在创建索引的时候把存入的and or等关键字过滤掉 所以在查询的时候怎么也查不到
         * @return
         */ 
        public Query getQueryParser7(){ 
            QueryParser queryParser = new QueryParser("testAndOr", new StandardAnalyzer()); 
            try { 
                //return queryParser.parse("and"); 
                return queryParser.parse("test"); 
            } catch (Exception e) { 
                e.printStackTrace(); 
            } 
            return null; 
        } 
        /**
         * 创建索引
         * @param path
         */ 
        public void createIndex(String path){ 
            try { 
                IndexWriter writer = new IndexWriter(path,new StandardAnalyzer(),true); 
                Document docA = new Document(); 
                //相当于数据库中列的概念,因此第一个参数是列名,第二个参数是列的值,最后两个参数是enum类型的(JDK1.5),对创建的索引的设置 
                //Field.Store 是否覆盖原来的索引文件,而不是重新建一个 
                Field fieldA = new Field("content","搜索引擎",Field.Store.YES,Field.Index.TOKENIZED); 
                //我们把列(fieldA)加到某一行(docA)中 
                docA.add(fieldA); 
                 
                docA.add(new Field("title","你好中国",Field.Store.YES,Field.Index.TOKENIZED)); 
                docA.add(new Field("content","欢迎你llying",Field.Store.YES,Field.Index.TOKENIZED)); 
                docA.add(new Field("lastModifyTime","2008-9-17",Field.Store.YES,Field.Index.TOKENIZED)); 
                docA.add(new Field("testCapital","HelloWangzi",Field.Store.YES,Field.Index.TOKENIZED)); 
                docA.add(new Field("testAndOr","test and",Field.Store.YES,Field.Index.TOKENIZED)); 
                 
                Document docB = new Document(); 
                //相当于数据库中列的概念,因此第一个参数是列名,第二个参数是列的值,最后两个参数是enum类型的(JDK1.5),对创建的索引的设置 
                Field fieldB = new Field("content","创建索引",Field.Store.YES,Field.Index.TOKENIZED); 
                //我们把列(fieldA)加到某一行(docA)中 
                docB.add(fieldB); 
                docB.add(new Field("title","你好世界",Field.Store.YES,Field.Index.TOKENIZED)); 
                docB.add(new Field("content","欢迎加入jee高级开发群46176507",Field.Store.YES,Field.Index.TOKENIZED)); 
                docB.add(new Field("lastModifyTime","2008-9-6",Field.Store.YES,Field.Index.TOKENIZED)); 
                docB.add(new Field("testCapital","hellowangZi",Field.Store.YES,Field.Index.TOKENIZED)); 
                docB.add(new Field("testAndOr","test or",Field.Store.YES,Field.Index.TOKENIZED)); 
                 
                writer.addDocument(docA); 
                writer.addDocument(docB); 
                 
                //如果对海量数据进行创建索引的时候,需要对索引进行优化,以便提高速度 
                writer.optimize(); 
                 
                //跟数据库类似,打开一个连接,使用完后,要关闭它 
                writer.close(); 
            } catch (CorruptIndexException e) { 
                e.printStackTrace(); 
            } catch (LockObtainFailedException e) { 
                e.printStackTrace(); 
            } catch (IOException e) { 
                e.printStackTrace(); 
            } 
        } 
     
    } 

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