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java+Lucene多字段查询搜索并排序例子

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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
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.cn  
  
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 {  
  
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);  
        }  
    }  
}  
注意:BooleanClause.Occur[]数组,它表示多个条件之间的关系: 
BooleanClause.Occur.MUST表示and, feedom.net 
BooleanClause.Occur.MUST_NOT表示not, 54com.cn 
BooleanClause.Occur.SHOULD表示or. 
--------------------------------------------------------------------------------------------------------- 
多个关键字直接的关系是或,所以直接使用多域搜索对象查询出来的结果就是这样。 
更灵活的控制方式为: 

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));   
}   
}  
}  
默认情况下,IndexSearcher类的search方法返回查询结果时,是按文档的分值排序的,可以使用重载的search方法对结果排序 
IndexSearcher.search(Query,Sort); 
new Sort() 和 Sort.RELEVANCE,以及null一样,采用默认排序,要定义排序字段,方法是将字段传入Sort对象 

Sort sort = new Sort(String field);  
也可以对多个字段排序
Sort sort = new Sort(String[] fields);  

例: 
Sort sort = new Sort(new SortField[]{new SortField(“title”),new SortField(“name”)});  
Hits hits=searcher.search(query,Sort);  
多字段查找MultiFieldQueryParser 
只在某些Term中查找,不关心在哪个字段 
Query query = new MultiFieldQueryParser.parse(“word”,new String[]{“title”,”content”},analyzer);  
//在title和content中找word 
多字段时默认是OR关系,要改变它,使用以下方法: 
Query query = MultiFieldQueryParser.parse(“word”,new String[]{“title”,”content”},new int[]{MultiFieldQueryParser.REQUIRED_FIELD,MultiFieldQueryParser.PROHIBITED_FIELD},analyzer);  
其中: 
REQUIRED_FIELD 表示该条件必须有 
PROHIBITED_FIELD 表示必须不含 
搜索多个索引文件MultiSearcher 
1)       建立多个索引:使用不同的索引目录,实例化不同的IndexWriter 

2)       建立多索引搜索器: 
Searcher[] searchers = new SEARCHER[2]; 
Searchers[0] = new IndexSearcher(dir1); //搜索索引目录一 
Searchers[1]= new IndexSearcher(dir2);//搜索索引目录二 
Searcher searcher = new MultiSearcher(serarchers); 
3) 开始查询:Hits hits = searcher.search(query); 

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);  
1, 几种span的querySpanTermQuery:检索效果完全同TermQuery,但内部会记录一些位置信息 

,供SpanQuery的其它API使用,是其它属于SpanQuery的Query的基础。 
SpanFirstQuery:查找方式为从Field的内容起始位置开始,在一个固定的宽度内查找所指定的 

词条。 
SpanNearQuery:功能类似PharaseQuery。SpanNearQuery查找所匹配的不一定是短语,还有可 

能是另一个SpanQuery的查询结果作为整体考虑,进行嵌套查询。 
SpanOrQuery:把所有SpanQuery查询结果综合起来,作为检索结果。 
SpanNotQuery:从第一个SpanQuery查询结果中,去掉第二个SpanQuery查询结果,作为检索结 

果。 

2, 多条件索引关系 

BooleanClause用于表示布尔查询子句关系的类,包括:BooleanClause.Occur.MUST, 

BooleanClause.Occur.MUST_NOT,BooleanClause.Occur.SHOULD。有以下6种组合: 
1.MUST和MUST:取得连个查询子句的交集。 
2.MUST和MUST_NOT:表示查询结果中不能包含MUST_NOT所对应得查询子句的检索结果。 
3.MUST_NOT和MUST_NOT:无意义,检索无结果。 
4.SHOULD与MUST、SHOULD与MUST_NOT:SHOULD与MUST连用时,无意义,结果为MUST子句的检索 

结果。与MUST_NOT连用时,功能同MUST。 
5.SHOULD与SHOULD:表示“或”关系,最终检索结果为所有检索子句的并集。

TAGS:Lucene多字段查询

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