Lucene多字段搜索
最近在学习Lucene的过程中遇到了需要多域搜索并排序的问题，在网上找了找，资料不是很多，现在都列出来，又需要的可以自己认真看看，都是从其他网站粘贴过来的，所以比较乱，感谢原创的作者们！
使用MultiFieldQueryParser类即可。
示例代码：
package com.lucene.search;import java.io.File;import java.io.IOException; 54com.cnimport org.apache.lucene.analysis.standard.StandardAnalyzer;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.Query;import org.apache.lucene.store.Directory;import org.apache.lucene.store.FSDirectory;public class Searcher {feedom.net public static void main(String[] args) throws Exception { File indexDir = new File("C:\\target\\index\\book"); if (!indexDir.exists() || !indexDir.isDirectory()) { throw new IOException(); } search(indexDir); } public static void search(File indexDir) throws Exception { Directory fsDir = FSDirectory.getDirectory(indexDir); IndexSearcher searcher = new IndexSearcher(fsDir); String[] queries = { "中文版", "8*" }; String[] fields = { "name", "isbn" }; BooleanClause.Occur[] clauses = { BooleanClause.Occur.SHOULD, BooleanClause.Occur.SHOULD }; Query query = MultiFieldQueryParser.parse(queries, fields, clauses, new StandardAnalyzer()); Hits hits = searcher.search(query); System.out.println("共有" + searcher.maxDoc() + "条索引，命中" + hits.length() + "条"); for (int i = 0; i < hits.length(); i++) { int DocId = hits.id(i); String DocName = hits.doc(i).get("name"); String DocIsbn = hits.doc(i).get("isbn"); String DocPblDt = hits.doc(i).get("pbl_dt"); System.out.println(DocId + ":" + DocName + " ISBN:" + DocIsbn + " PBLDT:" + DocPblDt); } }}package com.lucene.search;import java.io.File;import java.io.IOException;import org.apache.lucene.analysis.standard.StandardAnalyzer;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.Query;import org.apache.lucene.store.Directory;import org.apache.lucene.store.FSDirectory;public class Searcher { public static void main(String[] args) throws Exception { File indexDir = new File("C:\\target\\index\\book"); if (!indexDir.exists() || !indexDir.isDirectory()) { throw new IOException(); } search(indexDir); } public static void search(File indexDir) throws Exception { Directory fsDir = FSDirectory.getDirectory(indexDir); IndexSearcher searcher = new IndexSearcher(fsDir); String[] queries = { "中文版", "8*" }; String[] fields = { "name", "isbn" }; BooleanClause.Occur[] clauses = { BooleanClause.Occur.SHOULD, BooleanClause.Occur.SHOULD }; Query query = MultiFieldQueryParser.parse(queries, fields, clauses, new StandardAnalyzer()); Hits hits = searcher.search(query); System.out.println("共有" + searcher.maxDoc() + "条索引，命中" + hits.length() + "条"); for (int i = 0; i < hits.length(); i++) { int DocId = hits.id(i); String DocName = hits.doc(i).get("name"); String DocIsbn = hits.doc(i).get("isbn"); String DocPblDt = hits.doc(i).get("pbl_dt"); System.out.println(DocId + ":" + DocName + " ISBN:" + DocIsbn + " PBLDT:" + DocPblDt); } }}BooleanQuery booleanQuery = new BooleanQuery(); QueryParser parser = new QueryParser("title",分词器); Query titleQuery = parser .parser("中国人民共和国");booleanQuery.add(titleQuery,....SHOULD);QueryParser parser = new QueryParser("content",分词器); Query contentQuery = parser .parser("中国人民共和国");booleanQuery.add(contentQuery ,....SHOULD); 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)); } }}Sort sort = new Sort(String field);
Sort sort = new Sort(String[] fields);
Sort sort = new Sort(new SortField[]{new SortField(“title”),new SortField(“name”)});Hits hits=searcher.search(query,Sort);Query query = new MultiFieldQueryParser.parse(“word”,new String[]{“title”,”content”},analyzer); //在title和content中找wordQuery query = MultiFieldQueryParser.parse(“word”,new String[]{“title”,”content”},new int[]{MultiFieldQueryParser.REQUIRED_FIELD,MultiFieldQueryParser.PROHIBITED_FIELD},analyzer);BooleanQuery typeNegativeSearch = new BooleanQuery();QueryParser parser = new QueryParser("contents", new Analyzer()); parser.setDefaultOperator(QueryParser.AND_OPERATOR); query = parser.parse(queryString); QueryParser parser2 = new QueryParser("adISELL", new Analyzer()); query2 = parser2.parse(""2""); QueryParser parser3 = new QueryParser("adISELL", new Analyzer()); query3 = parser3.parse(""2""); QueryParser parser4 = new QueryParser("adISELL", new Analyzer()); query4 = parser4.parse(""2""); QueryParser parser4 = new QueryParser("adISELL", new Analyzer()); query4 = parser4.parse(""2""); 。。。。 QueryParser parser..n = new QueryParser("adISELL", new Analyzer()); query..n = parser..n.parse(""2""); typeNegativeSearch.add(query,Occur.MUST); typeNegativeSearch.add(query2,Occur.MUST);typeNegativeSearch.add(query3,Occur.MUST); typeNegativeSearch.add(query4,Occur.MUST);.....typeNegativeSearch.add(query..n,Occur.MUST);hits = searcher.search(typeNegativeSearch);