<转>LUCENE3.0 自学吧 4 TermDocs

利用TermDocs也是可以得到一些有用的结果。。。代码如下

 

package com.fpi.lucene.studying.myfirstlucene;
import java.io.File;
import java.io.IOException;
import org.apache.lucene.LucenePackage;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.CorruptIndexException;
import org.apache.lucene.index.IndexFileNameFilter;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.TermDocs;
import org.apache.lucene.queryParser.ParseException;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopScoreDocCollector;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.Version;
public class Searcher {
    // 关键字，要搜查的对象
    public static String key_word = "about";

    public static String field = "contents";
    public static void search() throws CorruptIndexException, IOException, ParseException{
        //打开索引所在地
        IndexSearcher sr = new IndexSearcher(FSDirectory.open(new File("d://test//myindex")),true);

        //词法分析器
        Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_30);

        //解析器
        QueryParser parser = new QueryParser(Version.LUCENE_30,field,analyzer);

        //根据关键字查询
        Query query = parser.parse(key_word);

        TopScoreDocCollector collector = TopScoreDocCollector.create(100, false);

        //将所搜寻出来的结果以特定的形式放在collector中
        sr.search(query, collector);

        /**
         * topDocs():Returns the top docs that were collected by this collector.
         *            返回的是由这个collector收集的顶级文档。
         * .scoreDocs():The top hits for the query.
         *              用于查询的最高命中。
         */
        ScoreDoc[] hits = collector.topDocs().scoreDocs;
        System.out.println("搜索到符合标准的文档数目："+hits.length);

        //检索，根据关键字在contents这个field里边找，本节关注点。
        TermDocs temDocs = sr.getIndexReader().termDocs(new Term("contents",key_word));
        while(temDocs.next()){
            System.out.println("在文件"+sr.getIndexReader().document(temDocs.doc())+"中，" +
                    "关键字出现了"+temDocs.freq()+"次。");
        }

        System.out.println("-----------------我是无敌的分割线----------------");

        for (int i = 0; i < hits.length; i++) {

            Document doc = sr.doc(hits[i].doc);      //依此遍历符合标准的文档
            System.out.println(doc.getField("filename")+" ----  "+hits[i].toString()+" ---- ");
        }
        System.out.println("you have " + collector.getTotalHits() +
                  " file matched query '" + key_word + "':");
        System.out.println("Lucene's position is in:"+LucenePackage.get());
    }


    public static void main(String[] args) {
        try {
            search();
        } catch (CorruptIndexException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        } catch (IOException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        } catch (ParseException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
    }
}

 

 

要说明的是，如果将检索到的结果放在TopScoreDocCollector中 那么他里边的顺序是按照相关度得分从大到小排序的，也即是说最大的排最前。而利用TermDocs：

 

TermDocs temDocs = sr.getIndexReader().termDocs(new Term("contents",key_word));
while(temDocs.next()){
    System.out.println("在文件"+sr.getIndexReader().document(temDocs.doc())+"中，" +
            "关键字出现了"+temDocs.freq()+"次。");
}

 

他这个“容器”里边的数据是无序的。

 

还有说明Term的初始化，有2个，一般常用的是new Term(field名称，关键字)；

如果将        TermDocs temDocs = sr.getIndexReader().termDocs(new Term("contents",key_word));
错误的写成   TermDocs temDocs = sr.getIndexReader().termDocs();       

 

也就是无参初始化，则得到的结果就是每个文件他的freq都会取到值是1.

 

原链：http://blog.csdn.net/sustbeckham/article/details/5809181