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 = "";//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)); } }}
页:
[1]