lucene多索引上的搜索

上代码

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));        }    }}