lucene 3.3 简单例子

lokepaqi

浏览: 46050 次
性别:
来自: 广州

最近访客更多访客>>

leedon32

chenghu209

jnsunyan2009163

jerryjjian

博主相关

博客

微博

相册

留言

关于我

文章分类

社区版块

存档分类

要看lucene的一些基本概念，看：http://www.ibm.com/developerworks/cn/java/j-lo-lucene1/

这里主要写一个lucene3.3的简单例子：
首先，当然是helloworld程序：

package com.lucene.demo;

import java.io.File;
import java.util.List;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.cn.smart.SmartChineseAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.queryParser.MultiFieldQueryParser;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.Version;
import org.junit.Test;

import com.lucene.model.SerachResult;
import com.lucene.utils.FileToDocument;
import com.lucene.utils.SerachUtil;

public class HelloWorld {
    
	File indexPath=new File("F:\\java\\Workspaces\\Lucene\\luceneIndex");//存放索引文件目录
	Analyzer analyzer=new SmartChineseAnalyzer(Version.LUCENE_33);
	IndexWriterConfig conf = new IndexWriterConfig(Version.LUCENE_33, analyzer);
    Document doc=FileToDocument.file2Document(new File("F:\\java\\Workspaces\\Lucene\\datasooruce\\IndexWriter.txt"));
    Document doc1=FileToDocument.file2Document(new File("F:\\java\\Workspaces\\Lucene\\datasooruce\\china.txt"));
    Document doc2=FileToDocument.file2Document(new File("F:\\java\\Workspaces\\Lucene\\datasooruce\\开玩笑.txt"));
	/**
	 * 创建索引
	 */
	@Test
	public void createIndex() throws Exception{
		  conf.setOpenMode(IndexWriterConfig.OpenMode.CREATE);//总是重新创建   
		  Directory fsDir =FSDirectory.open(indexPath);
		  long startTime =System.currentTimeMillis();
		  IndexWriter indexWriter =new IndexWriter(fsDir, conf);
      	  indexWriter.addDocument(doc);
          indexWriter.addDocument(doc1);
          indexWriter.addDocument(doc2);
          indexWriter.optimize();
		  indexWriter.close();
		  long endTime=System.currentTimeMillis();
		  System.out.println("共有"+indexWriter.numDocs()+"条索引");
		  System.out.println("建立索引用时: " + (endTime-startTime)+"毫秒");
	}

	/**
	 * 搜索
	 */
	@Test
	public void serach() throws Exception {
        //1 把要搜素的文本解析为QUery
		String queryString ="开玩笑";
        String [] fields = {"name","content"};
        QueryParser queryParser =new MultiFieldQueryParser(Version.LUCENE_33, fields, analyzer);
        Query query =queryParser.parse(queryString);
        
        
		Directory fsDir =FSDirectory.open(indexPath);

         IndexSearcher indexSearcher= new IndexSearcher(fsDir);
         SerachResult serachResult=SerachUtil.serach(1, 3, query,analyzer,indexSearcher,null);
         System.out.println("总共有[ "+serachResult.getTotalCount()+" ]条匹配结果");
         //3 打印结果
         for (Document doc : (List<Document>)serachResult.getRecords()) {
        	 System.out.println();
        	 FileToDocument.printDocumentInfo(doc);
         }
         indexSearcher.close();
	}
}

其中用到了2个util类：

package com.lucene.utils;

import java.util.ArrayList;
import java.util.List;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileFilter;
import java.io.FileInputStream;
import java.io.InputStreamReader;

import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Field.Index;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.util.NumericUtils;

public class FileToDocument {
     /**
      * 将文件转换成document
      * @param file
      * @return
      */
     public static Document file2Document(File file) {
    	 Document doc= new Document();
    	 doc.add(new Field("name",file.getName(),Store.YES,Index.ANALYZED));
    	 doc.add(new Field("content",readFile(file),Store.YES,Index.ANALYZED));
    	 doc.add(new Field("size",NumericUtils.longToPrefixCoded(file.length()),Store.YES,Index.NOT_ANALYZED));
    	 doc.add(new Field("path",file.getAbsolutePath(),Store.YES,Index.ANALYZED));
    	 return doc;
     }

    /**
     * 读取文件内容
     * @param file
     * @return
     */
	private static String readFile(File file) {
		 StringBuffer content =new StringBuffer();
		try {
			BufferedReader reader =new BufferedReader(new InputStreamReader(new FileInputStream(file)));
		    for(String line =null;(line=reader.readLine())!=null;) {
		    	content.append(line).append("\n");
		    }
		} catch (Exception e) {
			e.printStackTrace();
		}
		return content.toString();
	}
	
	
	/**
	 * 打印document
	 * 获取name熟悉的值的两种方法
	 * 1 FIeld f=doc.getField("name");
	 *   f.StringValue();
	 * 2 doc.get("name");
	 * @param doc
	 */
	public static void printDocumentInfo(Document doc) {
		  
           System.out.println("name = "+doc.get("name"));
           System.out.println("content = "+doc.get("content"));
           System.out.println("size = "+NumericUtils.prefixCodedToLong(doc.get("size")));
           System.out.println("path = "+doc.get("path"));
           System.out.println("comment = "+doc.get("comment"));
	}
	
	/**
	 * 得到该目录下得所有文件（非目录，可读，非一次，存在）
	 * @param sourceDir
	 * @return
	 */
	public List<File> index(File sourceDir) {  
        File[] files=sourceDir.listFiles();  
        List<File> fileList= new ArrayList<File>();
        for (int i = 0; i < files.length; i++) {  
            File f=files[i];  
            if(!f.isDirectory() && f.canRead() && !f.isHidden() && f.exists()){  
              fileList.add(f);
            }  
        }  
        return fileList;
    }  
	
	
	/**
	 * 只接受txt文件的拦截器
	 * @author Administrator
	 *
	 */
    private static class MyFileFilter implements FileFilter{  
  
        @Override  
        public  boolean accept(File pathname) {  
            return pathname.getName().toLowerCase().endsWith(".txt");  
        }  
          
    }  
}


package com.lucene.utils;

import java.util.ArrayList;
import java.util.List;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Field.Index;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.queryParser.MultiFieldQueryParser;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.Filter;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.highlight.Formatter;
import org.apache.lucene.search.highlight.Fragmenter;
import org.apache.lucene.search.highlight.Highlighter;
import org.apache.lucene.search.highlight.QueryScorer;
import org.apache.lucene.search.highlight.Scorer;
import org.apache.lucene.search.highlight.SimpleFragmenter;
import org.apache.lucene.search.highlight.SimpleHTMLFormatter;
import org.apache.lucene.util.Version;

import com.lucene.model.SerachResult;

/**
 *
 * @author: agoni
 * @date： Aug 13, 2011
 * @function:
 *
 */
public class SerachUtil {

	public static SerachResult serach(int pageNo,int pageSize ,Query query,Analyzer analyzer,IndexSearcher indexSearcher,Filter filter) throws Exception {
		 
		SerachResult serachResult = new SerachResult();
		
		
		long startTime =System.currentTimeMillis();



         //2 进行查询,并进行过滤
         TopDocs topDocs=indexSearcher.search(query, filter, 10000);
         //准备高亮器
         Formatter formatter = new SimpleHTMLFormatter("<font color='red'>","</font>");
         Scorer scorer = new QueryScorer(query);
         Highlighter highlighter = new Highlighter(formatter, scorer);
         Fragmenter fragmenter = new SimpleFragmenter(100);//摘要信息的长度
         highlighter.setTextFragmenter(fragmenter);
         
         
   
       //分页读取数据
         List<Document> recordList =new ArrayList<Document>();
         int end=Math.min(pageNo*pageSize,topDocs.totalHits);
         for(int i=(pageNo-1)*pageSize;i<end;i++) {
        	 ScoreDoc scoreDoc = topDocs.scoreDocs[i];//读取第几条记录
        	 int docSn=scoreDoc.doc;                  //文档内部编号  
        	 Document document=indexSearcher.doc(docSn);
        	 
        	 //高亮
        	 //当正文中没有出现关键字， 返回null
        	 String hc=highlighter.getBestFragment(analyzer, "content",document.get("content"));
        	 if(hc==null) {
                  String content =document.get("content");
                  int endIndex=Math.min(100, content.length());
                  hc=content.substring(0,endIndex);
        	 }
        	 Field contentField=(Field) document.getFieldable("content");   
             contentField.setValue(hc);  
        	 document.add(new Field("comment",hc,Store.YES,Index.ANALYZED));//将搜索的提示信息放入文档中
        	 
        	recordList.add(document);
         }
         serachResult.setPageNo(pageNo);
         serachResult.setPageSize(pageSize);
         serachResult.setTotalCount(topDocs.totalHits);
         serachResult.setRecords(recordList);
         long endTime=System.currentTimeMillis();
         serachResult.setTime(endTime-startTime);

         return serachResult;
	}
	
	
}

对搜索结果封装的类：


package com.lucene.model;

import java.util.List;

import org.apache.lucene.document.Document;

/**
 *
 * @author: agoni
 * @date： Aug 13, 2011
 * @function:
 *
 */
public class SerachResult {
      private int totalCount;         //搜索的总记录数
      private List<Document> records; //返回当前页的结果
      private long Time;              //搜索用时
      private int pageNo;             //当前页
      private int pageSize;           //每页数量
     
	public SerachResult() {
	}
	
	/**
	 * @param totalCount
	 * @param recordList
	 * @param time
	 */
	public SerachResult(int totalCount, List<Document> recordList, long time) {
		super();
		this.totalCount = totalCount;
		this.setRecords(recordList);
		Time = time;
	}
	public int getTotalCount() {
		return totalCount;
	}
	public void setTotalCount(int totalCount) {
		this.totalCount = totalCount;
	}
	
	public long getTime() {
		return Time;
	}
	public void setTime(long time) {
		Time = time;
	}
	public int getPageNo() {
		return pageNo;
	}
	public void setPageNo(int pageNo) {
		this.pageNo = pageNo;
	}
	public int getPageSize() {
		return pageSize;
	}
	public void setPageSize(int pageSize) {
		this.pageSize = pageSize;
	}

	public void setRecords(List<Document> records) {
		this.records = records;
	}

	public List<Document> getRecords() {
		return records;
	}
	
}

helloworld程序到此结束。

下面是测试中文分词器和英文分词器的简单例子:

package com.lucene.demo;

import java.io.IOException;
import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.cn.smart.SmartChineseAnalyzer;
import org.apache.lucene.analysis.en.EnglishAnalyzer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.TypeAttribute;
import org.apache.lucene.util.Version;
import org.junit.Test;

/**
 *
 * @author: agoni
 * @date： Aug 14, 2011
 * @function:
 *
 */
public class TestAnalyze {
     private String  enText= "IndexWriter addDocument's a javadoc.txt menu_down up-down";
     private String chText="衣服  矿泉水和分词器-看不起一个人的审美";
     Analyzer enAnalyzer = new EnglishAnalyzer(Version.LUCENE_33);
     Analyzer chAnalyzer = new SmartChineseAnalyzer(Version.LUCENE_33);
      
     
     @Test
     public void testAnalyze() throws IOException {
    	 analyze(enAnalyzer, enText);
    	 System.out.println("---------------------------------------------------------------------------------------------------");
    	 analyze(enAnalyzer, chText);
    	 System.out.println("---------------------------------------------------------------------------------------------------");
    	 analyze(chAnalyzer, enText);
    	 System.out.println("---------------------------------------------------------------------------------------------------");
    	 analyze(chAnalyzer, chText);
     }
     /**
      * 
      * @param analyzer
      * @param text
     * @throws IOException 
      */
     public void analyze(Analyzer analyzer ,String text) throws IOException {
    	 System.out.println("-----------分词器："+analyzer.getClass().getName()+"------------");
         System.out.println("输入："+text);
         TokenStream tokenStream = analyzer.tokenStream("content",new StringReader(text));
         displayTokenStream(tokenStream);
     }
     
     private static void displayTokenStream(TokenStream ts) throws IOException
     {
       CharTermAttribute termAtt = (CharTermAttribute)ts.getAttribute(CharTermAttribute.class);
       TypeAttribute typeAtt = (TypeAttribute)ts.getAttribute(TypeAttribute.class);
       
       while (ts.incrementToken())
       {
           System.out.println("type="+typeAtt.type()+ "     "+termAtt);
       }
       System.out.println(' ');
     }
}

下面是测试几种常用query的例子：


package com.lucene.demo;


import java.io.File;
import java.util.List;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.cn.smart.SmartChineseAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.PhraseQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.search.WildcardQuery;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.NumericUtils;
import org.apache.lucene.util.Version;
import org.junit.Test;
import org.apache.lucene.search.FuzzyLikeThisQuery;
import com.lucene.model.SerachResult;
import com.lucene.utils.FileToDocument;
import com.lucene.utils.SerachUtil;

/**
 *
 * @author: agoni
 * @date： Aug 14, 2011
 * @function:
 *
 */
public class TestQuery {
	File indexPath=new File("F:\\java\\Workspaces\\Lucene\\luceneIndex");//存放索引文件目录
	Analyzer analyzer=new SmartChineseAnalyzer(Version.LUCENE_33);
	IndexWriterConfig conf = new IndexWriterConfig(Version.LUCENE_33, analyzer);
    Document doc=FileToDocument.file2Document(new File("F:\\java\\Workspaces\\Lucene\\datasooruce\\IndexWriter.txt"));
    Document doc1=FileToDocument.file2Document(new File("F:\\java\\Workspaces\\Lucene\\datasooruce\\china.txt"));
    Document doc2=FileToDocument.file2Document(new File("F:\\java\\Workspaces\\Lucene\\datasooruce\\开玩笑.txt"));
    
    /**
	 * 搜索
	 */
	public void serach(Query query) {
		 Directory fsDir;
		 try {
			fsDir = FSDirectory.open(indexPath);
			IndexSearcher indexSearcher= new IndexSearcher(fsDir);
	         SerachResult serachResult=SerachUtil.serach(1, 10, query,analyzer,indexSearcher,null);
	         System.out.println("总共有[ "+serachResult.getTotalCount()+" ]条匹配结果");
	         //3 打印结果
	         for (Document doc : (List<Document>)serachResult.getRecords()) {
	        	 System.out.println("--------------------------------------------------------------------------------------------------------------------------------------");
	        	 FileToDocument.printDocumentInfo(doc);//打印文档
	         }
	         indexSearcher.close();
		} catch (Exception e) {
			e.printStackTrace();
		}
         
	}
    
    
	/**
     * 关键字查询
     */
	@Test
	public void testTermQuery() {
         //Term term = new Term("name","开玩笑");
		Term term = new Term("content","缓存");
		Query query = new TermQuery(term);
		serach(query);
	}
	
	/**
	 * 范围查询 
	 * 参数3.4 是否包含上下边界
	 */
	@Test
	public void testTermRangeQuery() {
		
		TermRangeQuery query =new TermRangeQuery("size",NumericUtils.longToPrefixCoded(100),NumericUtils.longToPrefixCoded(1000)
				          , true, true);
		serach(query);//查询文件大小为100到1000之间的数据
	}


	/**
	 * 模糊查询
	 * ？表示一位 * 表示多位
	 */
    @Test
    public void testWildcardQuery() {
    	//Term term = new Term("name","index*"); //Index* 将查询不到任何结果，因为建立索引已将所有大写转为小写
    	//Term term = new Term("name","?ndex*");
    	//Term term = new Term("name","*dex*");
    	Term term = new Term("name","*玩?");
    	Query query = new WildcardQuery(term);
    	serach(query);
    }
    
    

    
    /**
     * 短语查询
     */
    @Test
    public void testPhraseQuery() {
    	PhraseQuery  phraseQuery = new PhraseQuery();
    	//phraseQuery.add(new Term("content","优化"),1);
    	//phraseQuery.add(new Term("content","缓存"),3);
    	
    	phraseQuery.add(new Term("content","优化"));
    	phraseQuery.add(new Term("content","缓存"));
    	phraseQuery.setSlop(10);//表示分词之后 两个词的相隔的次数上限
    	
    	serach(phraseQuery);
    }
    


     /**
      *  最常使用的就是booleanquery了，可以将各种条件组合一起形成复杂查询
      **/
    @Test 
    public void testBooleanQuery() {
    	//条件一
    	PhraseQuery phraseQuery = new PhraseQuery();
    	phraseQuery.add(new Term("content","小弟"));
    	phraseQuery.add(new Term("content","分词"));
    	phraseQuery.setSlop(100);//两词组间隔最大距离
    	
    	//条件二
    	TermRangeQuery query =new TermRangeQuery("size",NumericUtils.longToPrefixCoded(100),NumericUtils.longToPrefixCoded(500)
		          , true, true);
    	
    	BooleanQuery  booleanQuery = new BooleanQuery();
    	booleanQuery.add(phraseQuery, Occur.MUST);
    	booleanQuery.add(query,Occur.MUST);
    	
    	
    	serach(booleanQuery);
    }

}

分享到：

spring3.1 包，根据自己需要加入需要的包 | lucene 学习

2011-08-17 00:41
浏览 3077
评论(2)
分类:编程语言
查看更多

2 楼 ql0722 2012-09-18

没发现其实读取的文件有中文的时候有乱码吗?

1 楼 lizhongyi188 2011-08-18

请问用过lucene3.3写过自定分析器没有？

发表评论

您还没有登录,请您登录后再发表评论

最近访客更多访客>>

博主相关

文章分类

社区版块

存档分类

最新评论

lucene 3.3 简单例子

评论

发表评论

相关推荐

最近访客 更多访客>>

博主相关

文章分类

社区版块

存档分类

最新评论

lucene 3.3 简单例子

评论

发表评论

相关推荐

最近访客更多访客>>