您的位置:首页 > 其它

Lucene在多个索引上进行搜索

2008-06-08 11:36 501 查看
信息源自:http://blog.csdn.net/caoxu1987728/archive/2008/04/27/2335730.aspx

代码如下:

package com.lucene.search;

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.queryParser.MultiFieldQueryParser;
import org.apache.lucene.search.BooleanClause;
import org.apache.lucene.search.Hits;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MultiSearcher;
import org.apache.lucene.search.Query;

public class Multisearcher {

private static String INDEX_STORE_PATH1 = "C://multi//1";
private static String INDEX_STORE_PATH2 = "C://multi//2";

public static void main(String[] args) throws Exception {
Multisearcher.multisearcher();
}

public static void multisearcher() throws Exception {
IndexWriter writer = new IndexWriter(INDEX_STORE_PATH1, new StandardAnalyzer(), true);
writer.setUseCompoundFile(false);

Document doc1 = new Document();
Field f1 = new Field("bookname", "钢铁是怎样炼成的", Field.Store.YES, Field.Index.TOKENIZED);
Field f11 = new Field("price", "20.5", Field.Store.YES, Field.Index.UN_TOKENIZED);

doc1.add(f1);
doc1.add(f11);

Document doc2 = new Document();
Field f2 = new Field("bookname", "钢铁战士", Field.Store.YES, Field.Index.TOKENIZED);
Field f22 = new Field("price", "18.4", Field.Store.YES, Field.Index.UN_TOKENIZED);

doc2.add(f2);
doc2.add(f22);

Document doc3 = new Document();
Field f3 = new Field("bookname", "钢和铁是两种不同的元素", Field.Store.YES, Field.Index.TOKENIZED);
Field f33 = new Field("price", "7.6", Field.Store.YES, Field.Index.UN_TOKENIZED);

doc3.add(f3);
doc3.add(f33);

writer.addDocument(doc1);
writer.addDocument(doc2);
writer.addDocument(doc3);

writer.close();

//创建第二个索引器;
IndexWriter writer2 = new IndexWriter(INDEX_STORE_PATH2, new StandardAnalyzer(), true);
writer2.setUseCompoundFile(false);

Document doc4 = new Document();
Field f4 = new Field("bookname", "钢要比铁有更多的元素", Field.Store.YES, Field.Index.TOKENIZED);
Field f44 = new Field("price", "22.5", Field.Store.YES, Field.Index.UN_TOKENIZED);

doc4.add(f4);
doc4.add(f44);

Document doc5 = new Document();
Field f5 = new Field("bookname", "钢和铁是两种重要的金属", Field.Store.YES, Field.Index.TOKENIZED);
Field f55 = new Field("price", "15.9", Field.Store.YES, Field.Index.UN_TOKENIZED);

doc5.add(f5);
doc5.add(f55);

Document doc6 = new Document();
Field f6 = new Field("bookname", "钢铁是两种重要的金属", Field.Store.YES, Field.Index.TOKENIZED);
Field f66 = new Field("price", "19.00", Field.Store.YES, Field.Index.UN_TOKENIZED);

doc6.add(f6);
doc6.add(f66);

writer2.addDocument(doc4);
writer2.addDocument(doc5);
writer2.addDocument(doc6);

writer2.close();

String query1 = "钢";
String query2 = "[10 TO 20]";//注意格式:中括号还有关键字TO是大写的
String[] queries = { query1, query2 };

//指定两个域Field
String field1 = "bookname";
String field2 = "price";
String[] fields = { field1, field2 };

//指定查询字句之间的关系
BooleanClause.Occur[] clauses = { BooleanClause.Occur.MUST, BooleanClause.Occur.MUST };

//转成多域查询MultiFieldQuery
Query q = MultiFieldQueryParser.parse(queries, fields, clauses, new StandardAnalyzer());

//打印Query的内容
System.out.println(q.toString());

//创建两个IndexSearcher,以实现在多个索引目录进行查询
IndexSearcher searcher1 = new IndexSearcher(INDEX_STORE_PATH1);
IndexSearcher searcher2 = new IndexSearcher(INDEX_STORE_PATH2);

IndexSearcher[] searchers = { searcher1, searcher2 };

//使用MultiSearcher进行多域搜索
MultiSearcher searcher = new MultiSearcher(searchers);
Hits hits = searcher.search(q);
for (int i = 0; i < hits.length(); i++) {
System.out.println(hits.doc(i));
}
}
}
内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签: