利用Lucene实现一个简单的布尔搜索

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在布尔查询的对象中，包含一个子句的集合，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，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 * @author sdu20 * */public class BooleanQueryTest {static final String INDEX_STORE_PATH = "E:\\编程局\\Java编程处\\Index\\";public static void main(String[] args) {// TODO Auto-generated method stubtry{IndexWriter writer = new IndexWriter(INDEX_STORE_PATH,new StandardAnalyzer(),true);writer.setUseCompoundFile(false);//创建8个文档Document doc1 = new Document();Document doc2 = new Document();Document doc3 = new Document();Document doc4 = new Document();Document doc5 = new Document();Document doc6 = new Document();Document doc7 = new Document();Document doc8 = new Document();Field f1 = new Field("bookname","钢铁是怎样炼成的",Field.Store.YES,Field.Index.TOKENIZED);Field f2 = new Field("bookname","英雄儿女",Field.Store.YES,Field.Index.TOKENIZED);Field f3 = new Field("bookname","浮生六记",Field.Store.YES,Field.Index.TOKENIZED);Field f4 = new Field("bookname","太平广记",Field.Store.YES,Field.Index.TOKENIZED);Field f5 = new Field("bookname","文化苦旅",Field.Store.YES,Field.Index.TOKENIZED);Field f6 = new Field("bookname","白夜行",Field.Store.YES,Field.Index.TOKENIZED);Field f7 = new Field("bookname","白毛女",Field.Store.YES,Field.Index.TOKENIZED);Field f8 = 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 = new IndexSearcher(INDEX_STORE_PATH);//创建两个词条对象Term t1 = new Term("bookname","生");Term t2 = new Term("bookname","记");TermQuery q1 = new TermQuery(t1);TermQuery q2 = new TermQuery(t2);BooleanQuery query = new BooleanQuery();query.add(q1,BooleanClause.Occur.MUST);query.add(q2,BooleanClause.Occur.MUST);Hits hits = searcher.search(query);for(int i = 0;i<hits.length();i++){System.out.println(hits.doc(i));}System.out.println("搜索成功");}catch(Exception e){System.out.println(e.getStackTrace());}}}

BooleanClause.Occur类主要有3种表示，即MUST、MUST_NOT和SHOULD。MUST与MUST_NOT不难理解，一看名字就知道是什么意思，而SHOULD是一个比较特殊的约束，当它与MUST联用时，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，SHOULD的功能就与MUST一样，就退变为MUST和MUST_NOT的查询结果。当SHOULD与SHOULD联用时，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，程序运行结果截图如下

索引目录文件夹下截图如下

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