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(); } } }