Lucene创建索引入门案例

最近在学习lucene，参考网上的资料写了一个简单搜索demo；

项目jar包：

//索引关键类

package com.lucene.index;

import java.io.File;
import java.io.IOException;
import java.io.StringReader;
import java.util.ArrayList;
import java.util.List;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.CorruptIndexException;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
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.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.store.LockObtainFailedException;
import org.apache.lucene.util.Version;
import org.wltea.analyzer.lucene.IKAnalyzer;

import com.lucene.vo.User;

/**
 *  * lucene 检索内存索引 非常简单的例子  *  * @author Administrator  *  
 */
public class searchIndex {
 private String[] ids = { "1", "2", "3", "4", "5", "6" };
 private String[] emails = { "aa@itat.org", "bb@itat.org", "cc@cc.org", "dd@sina.org", "ee@zttc.edu", "ff@itat.org" };
// private String[] contents = { "welcome to visited the space,I like book", "hello boy, I like pingpeng ball", "my name is cc I like game", "I like football",
//   "I like football and I like basketball too", "I like movie and swim" };
 private String[] contents = { "创建一个内存目录对象，所以这里生成的索引会放在磁盘中，而不是在内存中", "创建索引写入对象，该对象既可以把索引写入到磁盘中也可以写入到内存中", "分词器，分词器就是将检索的关键字分割成一组组词组， 它是lucene检索查询的一大特色之一", "这个是分词器拆分最大长度，因为各种不同类型的分词器拆分的字符颗粒细化程度不一样，所以需要设置一个最长的拆分长度",
   "文档对象，在lucene中创建的索引可以看成数据库中的一张表，表中也可以有字段,往里面添加内容之后可以根据字段去匹配查询", "I like movie and swim" };
 private String[] names = { "zhangsan", "lisi", "john", "jetty", "mike", "jake" };
 // 创建一个内存目录对象，所以这里生成的索引会放在磁盘中，而不是在内存中。
 private Directory directory = null;
 //IK分词器
 IKAnalyzer analyzer = null;
 public searchIndex() {
  try {
   directory = FSDirectory.open(new File("H:/lucene/index"));
   analyzer = new IKAnalyzer(true);
  } catch (IOException e) {
   // TODO Auto-generated catch block
   e.printStackTrace();
  }
 }
 
 public void index() {
  /*
  * 创建索引写入对象，该对象既可以把索引写入到磁盘中也可以写入到内存中。
  */
  IndexWriter writer;
  try {
   writer = new IndexWriter(directory, new IndexWriterConfig(Version.LUCENE_36, analyzer));
   //创建之前先删除
   writer.deleteAll();
   // 创建Document
   // 文档对象，在lucene中创建的索引可以看成数据库中的一张表，表中也可以有字段,往里面添加内容之后可以根据字段去匹配查询
 
   Document doc =null;
   
   for(int i=0;i<ids.length;i++){
    doc = new Document();
    doc.add(new Field("id", ids[i], Field.Store.YES, Field.Index.NOT_ANALYZED_NO_NORMS));
    doc.add(new Field("email", emails[i], Field.Store.YES, Field.Index.NOT_ANALYZED));
    doc.add(new Field("content", contents[i], Field.Store.NO, Field.Index.ANALYZED));
    doc.add(new Field("name", names[i], Field.Store.YES, Field.Index.NOT_ANALYZED_NO_NORMS));
    writer.addDocument(doc);
   }
   writer.close();
  } catch (CorruptIndexException e) {
   // TODO Auto-generated catch block
   e.printStackTrace();
  } catch (LockObtainFailedException e) {
   // TODO Auto-generated catch block
   e.printStackTrace();
  } catch (IOException e) {
   // TODO Auto-generated catch block
   e.printStackTrace();
  }
 }

 public List<User> search(String keyword) {
  long startTime = System.currentTimeMillis();
  System.out.println("*****************检索开始**********************");
  List<User> userList = new ArrayList<User>();
  IndexReader reader;
  try {
   reader = IndexReader.open(directory);
   
   // 创建IndexSearcher 检索索引的对象，里面要传递上面写入的内存目录对象directory
   IndexSearcher searcher = new IndexSearcher(reader);
   // 根据搜索关键字 封装一个term组合对象，然后封装成Query查询对象
 
   QueryParser queryParser = new QueryParser(Version.LUCENE_36, "content", analyzer);
   Query query = queryParser.parse(keyword);
   

   // 去索引目录中查询，返回的是TopDocs对象，里面存放的就是上面放的document文档对象
   TopDocs rs = searcher.search(query, null, 10);
   long endTime = System.currentTimeMillis();
   System.out.println("总共花费" + (endTime - startTime) + "毫秒，检索到" + rs.totalHits + "条记录。");
   User user = null;
   for (int i = 0; i < rs.scoreDocs.length; i++) {
    // rs.scoreDocs[i].doc 是获取索引中的标志位id, 从0开始记录
    Document firstHit = searcher.doc(rs.scoreDocs[i].doc);
    user = new User();
    user.setId(Long.parseLong(firstHit.get("id")));
    user.setName(firstHit.get("name"));
    user.setSex(firstHit.get("sex"));
    user.setDosomething(firstHit.get("dosometing"));
    user.setEmail(firstHit.get("email"));
    user.setContent(firstHit.get("content"));
    userList.add(user);

//    System.out.println("name:" + firstHit.get("name"));
//    System.out.println("sex:" + firstHit.get("sex"));
//    System.out.println("dosomething:" + firstHit.get("dosometing"));
   }
   reader.close();
  } catch (CorruptIndexException e1) {
   // TODO Auto-generated catch block
   e1.printStackTrace();
  } catch (IOException e1) {
   // TODO Auto-generated catch block
   e1.printStackTrace();
  } catch (ParseException e) {
   // TODO Auto-generated catch block
   e.printStackTrace();
  }
 
  System.out.println("*****************检索结束**********************");
  return userList;
 }
 
}