/** 该方法基于短语搜索* 实现了多个短语进行搜素的功能* */package query;import java.io.IOException;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.Hits;import org.apache.lucene.search.IndexSearcher;import org.apache.lucene.search.MultiPhraseQuery;import org.apache.lucene.search.PhraseQuery;public class MultiPharse_Query {public MultiPharse_Query(String INDEX_STORE_PATH){try{IndexWriter writer = new IndexWriter(INDEX_STORE_PATH, new StandardAnalyzer(), true);writer.setUseCompoundFile(false);//创建3个文档Document doc1 = new Document();Document doc2 = new Document();Document doc3 = 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", "篱笆女人和狗", Field.Store.YES, Field.Index.TOKENIZED);doc1.add(f1);doc2.add(f2);doc3.add(f3);writer.addDocument(doc1);writer.addDocument(doc2);writer.addDocument(doc3);writer.close();IndexSearcher searcher = new IndexSearcher(INDEX_STORE_PATH);//创建一个multiPharseQueryMultiPhraseQuery query = new MultiPhraseQuery();//首先向其中加入要查找的短语前缀query.add(new Term("bookname", "钢"));//构建三个Term，， 作为短语的后缀Term t1 = new Term("bookname", "铁");Term t2 = new Term("bookname", "和");Term t3 = new Term("bookname", "要");//再向Query中国加入所有的后缀，与前缀一起，他们将组成3个短语query.add(new Term[]{t1, t2, t3});//打印查询结构Hits hits = searcher.search(query);for(int i = 0; i < hits.length(); i++){System.out.println(hits.doc(i));}}catch(IOException e){e.printStackTrace();}}public static void main(String[] args) {// TODO Auto-generated method stubSystem.out.println("多个短语开始搜索————>>>>>");MultiPharse_Query mq = new MultiPharse_Query("E:\\lucene项目\\索引文件");System.out.println("搜索完成——————>>>>>");System.out.println("停止搜索—–||||||||||||||||||||");}}
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