lucene3小例子

公司项目要用到Lucene，首先看了一下最新的版本是3.0，废话不说代码如下

public class Test1 {

public static void main(String[] args) throws SQLException, IOException {
  String[] ids = {"1","2","3","4"};
  String[] names = {"liujun","aa","bb","cc"};
  String[] addresses = {"i am in beijing","nanjing","beijing","aaa"};
  String[] birthdays = {"19820203","19840802","19830804","19840806"};
 
  Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_30);
 
  String indexDir = "d:/indexDir";
  File f = new File(indexDir);
  Directory dir = FSDirectory.open(f);
 
  IndexWriter writer = new IndexWriter(dir,analyzer,true,IndexWriter.MaxFieldLength.LIMITED);
 
  for(int i=0;i<ids.length;i++){
   Document d = new Document();
   d.add(new Field("id",ids[i],Field.Store.YES,Field.Index.ANALYZED));
   d.add(new Field("name",names[i],Field.Store.YES,Field.Index.ANALYZED));
   d.add(new Field("address",addresses[i],Field.Store.YES,Field.Index.ANALYZED));
   d.add(new Field("birthday",birthdays[i],Field.Store.YES,Field.Index.ANALYZED));
  
   writer.addDocument(d);
  }
  writer.optimize();
  writer.close();
  System.out.println("ok");
}

}



这个是把内容索引到Lucene的数据库中



下面开始根据关键字查找

package test;

import java.io.File;
import java.io.IOException;

import org.apache.lucene.document.Document;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;

public class Test2 {

/**
  * @param args
  * @throws IOException
  */
public static void main(String[] args) throws IOException {
  // TODO Auto-generated method stub

  String indexDir = "d:/indexDir";
  File f = new File(indexDir);
  Directory dir = FSDirectory.open(f);
 
  IndexSearcher searcher = new IndexSearcher(dir);
  Term term = new Term("address","beijing");
  TermQuery query = new TermQuery(term);
  TopDocs  topDocs = searcher.search(query, 100);
  ScoreDoc[] hits = null;
  hits = topDocs.scoreDocs;
 
  for(int i = 0;i<hits.length;i++){
   Document doc = searcher.doc(hits[i].doc);
   System.out.print(hits[i].score+"  ");
   System.out.print(doc.get("id")+"  ");
   System.out.print(doc.get("name")+"  ");
   System.out.print(doc.get("address")+"  ");
   System.out.println(doc.get("birthday")+"  ");
  }
  searcher.close();
  System.out.println("end");
}

}



因为这样出来之后，不能对中文进行分词，故引用了第三方的包用的是IK Analyzer 3.2.0版本

下载地址

IKAnalyzer3.2.0稳定版发布包 http://ik-analyzer.googlecode.com/files/IKAnalyzer3.2.0Stable_bin.rar

下面的代码就不贴了



只要照里面的手册改一下就行了

源码里也有一个用到表的例子，索性不改了  直接传