利用Lucene实现一个简单的布尔搜索

在布尔查询的对象中&＃xff0c;包含一个子句的集合&＃xff0c;各个子句间都是如“与”、“或”这样的布尔逻辑。Lucene中所遇到的各种复杂查询&＃xff0c;最终都可以表示成布尔型的查询。下面代码就是实现了一个简单的布尔查询。

package LuceneSearch;import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.Hits;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.TermQuery;/*** 布尔搜索测试* &＃64;author sdu20**/
public class BooleanQueryTest {static final String INDEX_STORE_PATH &＃61; "E:\\编程局\\Java编程处\\Index\\";public static void main(String[] args) {// TODO Auto-generated method stubtry{IndexWriter writer &＃61; new IndexWriter(INDEX_STORE_PATH,new StandardAnalyzer(),true);writer.setUseCompoundFile(false);//创建8个文档Document doc1 &＃61; new Document();Document doc2 &＃61; new Document();Document doc3 &＃61; new Document();Document doc4 &＃61; new Document();Document doc5 &＃61; new Document();Document doc6 &＃61; new Document();Document doc7 &＃61; new Document();Document doc8 &＃61; new Document();Field f1 &＃61; new Field("bookname","钢铁是怎样炼成的",Field.Store.YES,Field.Index.TOKENIZED);Field f2 &＃61; new Field("bookname","英雄儿女",Field.Store.YES,Field.Index.TOKENIZED);Field f3 &＃61; new Field("bookname","浮生六记",Field.Store.YES,Field.Index.TOKENIZED);Field f4 &＃61; new Field("bookname","太平广记",Field.Store.YES,Field.Index.TOKENIZED);Field f5 &＃61; new Field("bookname","文化苦旅",Field.Store.YES,Field.Index.TOKENIZED);Field f6 &＃61; new Field("bookname","白夜行",Field.Store.YES,Field.Index.TOKENIZED);Field f7 &＃61; new Field("bookname","白毛女",Field.Store.YES,Field.Index.TOKENIZED);Field f8 &＃61; new Field("bookname","子不语",Field.Store.YES,Field.Index.TOKENIZED);doc1.add(f1);doc2.add(f2);doc3.add(f3);doc4.add(f4);doc5.add(f5);doc6.add(f6);doc7.add(f7);doc8.add(f8);writer.addDocument(doc1);writer.addDocument(doc2);writer.addDocument(doc3);writer.addDocument(doc4);writer.addDocument(doc5);writer.addDocument(doc6);writer.addDocument(doc7);writer.addDocument(doc8);writer.close();System.out.println("创建索引成功");IndexSearcher searcher &＃61; new IndexSearcher(INDEX_STORE_PATH);//创建两个词条对象Term t1 &＃61; new Term("bookname","生");Term t2 &＃61; new Term("bookname","记");TermQuery q1 &＃61; new TermQuery(t1);TermQuery q2 &＃61; new TermQuery(t2);BooleanQuery query &＃61; new BooleanQuery();query.add(q1,BooleanClause.Occur.MUST);query.add(q2,BooleanClause.Occur.MUST);Hits hits &＃61; searcher.search(query);for(int i &＃61; 0;i

BooleanClause.Occur类主要有3种表示&＃xff0c;即MUST、MUST_NOT和SHOULD。MUST与MUST_NOT不难理解&＃xff0c;一看名字就知道是什么意思&＃xff0c;而SHOULD是一个比较特殊的约束&＃xff0c;当它与MUST联用时&＃xff0c;它将失去意义。检索的结果为MUST子句的检索结果。当它与MUST_NOT联用时&＃xff0c;SHOULD的功能就与MUST一样&＃xff0c;就退变为MUST和MUST_NOT的查询结果。当SHOULD与SHOULD联用时&＃xff0c;它们就表示一种“或”关系。最终检索结果为所有检索子句的检索结果的并集。

上面代码就是查询索引中有“生”字和“记”字的文档&＃xff0c;程序运行结果截图如下

索引目录文件夹下截图如下