LUCENE3.0 增,删,查+分页,改例子

首先引入包


代码:
建立索引
我现在数据库提取一些数据在里面

        //创建的文件路径，没有文件夹会给你自动生成一个
        private final static String PATH = "E:\\lucene";
        //分词器支持中英文记住自己创建时候的版本不然可能查不到数据
	private StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_30);
        //IndexWriter(Directory d, Analyzer a, boolean create, MaxFieldLength mfl)，第三个参数指定，true表示建立新的索引库或覆盖现有的索引库（删除后重建）；false表示使用已有的索引库，如果不存在，就报错。
	IndexWriter writer = new IndexWriter(dir,analyzer , true,MaxFieldLength.UNLIMITED);
//循环查询出数据
			while(oracleRS.next()){
				//创建DOC由于我里面
				Document doc1 = new Document();
				//Filed这里面有几个参数,第一个设置的字段,第二个是设置该字段的值,第三,第四参见后面
				doc1.add(new Field("kid",String.valueOf(oracleRS.getInt("kid")),Field.Store.YES,Index.ANALYZED));
				doc1.add(new Field("title",oracleRS.getString("title"),Field.Store.YES,Index.ANALYZED));
				doc1.add(new Field("content",oracleRS.getString("content"),Field.Store.YES,Index.ANALYZED));
				//写入文件
				writer.addDocument(doc1);
			}
			//合并索引库文件
		    writer.optimize();
		    //释放资源
		    writer.close();
      

枚举类型 枚举常量 说明
Store            NO          不存储属性的值
           YES          存储属性的值
Index            NO          不建立索引
           ANALYZED 分词后建立索引
           NOT_ANALYZED 不分词，把整个内容作为一个词建立索引

索引建立好后会在我的D盘上生成一个叫lucene文件夹里面就是我们生成好的索引


查询

public String getIndex(String query)
	{
		String path = "D:\\lucene" ;
		try {
			FSDirectory dir = SimpleFSDirectory.open(new File(path));
			//读取文件
			IndexReader reader = IndexReader.open(dir);
			//实例查询对象
        	IndexSearcher searcher = new IndexSearcher(reader);
        	//这个是查询哪个字段里面的值 可以是多个或是一个,
        	String[] fileds = {"title","content"};
        	//设置分词器版本,查询哪个字段里面的值
            QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_30, fileds, new StandardAnalyzer(Version.LUCENE_30));
            //生成一个Query对象
            Query querys = parser.parse(query);
            Directory directory = FSDirectory.open(new File(path));
            //这里为什么又要生成一个呢,因为我要查一个我查一共多少条数据后面主要分页查询
            IndexSearcher indexSearcher = new IndexSearcher(directory);
            TopDocs topDocs = indexSearcher.search(querys, 100);
            //总条数
            int count = topDocs.totalHits;
            //共查询多少条数据我是10条
            TopScoreDocCollector results = TopScoreDocCollector.create(10, false);
            searcher.search(querys, results);
            //分页从0条到10条
            TopDocs tds = results.topDocs(0, 10);
            ScoreDoc[] sd = tds.scoreDocs;
            //这个是将查询出来的关键词前后加字符,我的页面的EM标签设置的字体颜色是红色所以在关键词到了页面就变成了红色
        	Formatter formatter = new SimpleHTMLFormatter("<em>", "</em>");
        	Scorer scorer = new QueryScorer(querys);
            Highlighter highlighter = new Highlighter(formatter, scorer);
            //查询多少字
    		highlighter.setTextFragmenter(new SimpleFragmenter(10000));
    		//里面就是查询出来的值,循环遍历里面的值
            for (int i = 0; i < sd.length; i++) {
            	ScoreDoc scoreDoc = sd[i];
            	int docID = scoreDoc.doc;
            	Document document = indexSearcher.doc(docID);
            	String txt=highlighter.getBestFragment(new StandardAnalyzer(Version.LUCENE_30), "title", document.get("title"));
            	String txt2=highlighter.getBestFragment(new StandardAnalyzer(Version.LUCENE_30), "content", document.get("content"));
            	String txt3=document.get("url");
            	//获取该字段的值
            	System.out.println("kid:"+document.get("kid"));
            	System.out.println("title:"+txt);
            	System.out.println("content:"+document.get("content"));
            	System.out.println("url:"+txt3);
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
		return null;
	}

后面的就比较简单了

然后是添加索引

/**
	 * 大致后上面一样IndexWriter writer = new IndexWriter(dir,analyzer , false,MaxFieldLength.UNLIMITED);
	 * 把它调成false就好了
	 * */
	public void ss() throws Exception{
		Directory dir = new SimpleFSDirectory(new File(PATH));
		IndexWriter writer = new IndexWriter(dir,analyzer , false,MaxFieldLength.UNLIMITED);
		Document doc1 = new Document();
		doc1.add(new Field("kid","4444",Field.Store.YES,Index.ANALYZED));
		doc1.add(new Field("title","阿森松岛",Field.Store.YES,Index.ANALYZED));
		doc1.add(new Field("content","枫的手",Field.Store.YES,Index.ANALYZED));
		doc1.add(new Field("url","阿萨德份额",Field.Store.YES,Index.ANALYZED));
		
		writer.addDocument(doc1);
		writer.optimize();
	    writer.close();
	}

删除

public void deleteLucene(String id){
		FSDirectory path;
		try {
			path = SimpleFSDirectory.open(new File("D:\\lucene"));
			StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_30);
			IndexWriter writer = new IndexWriter(path,analyzer,false,MaxFieldLength.UNLIMITED);
			writer.setUseCompoundFile(true);
			//注意这里最好是填写唯一的不然到时会满足该情况时,数据都删了
			writer.deleteDocuments(new Term("kid",id)); 
			writer.optimize(); 
			writer.commit(); 
			writer.close();
		} catch (Exception e) {
			e.printStackTrace();
		}
	}

修改

public void updateLucene(String key,String up){
		System.out.println("修改");
		FSDirectory path;
		try {
			path = SimpleFSDirectory.open(new File("D:\\lucene"));
			StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_30);
			IndexWriter writer = new IndexWriter(path,analyzer,false,MaxFieldLength.UNLIMITED);
			writer.setUseCompoundFile(true);
			Document document = new Document();
			/**
			 * 这里特别要说下一定要每个值都设置不然没设置的那个字段会是NULL
			 * */
			document.add(new Field("kid", key, Field.Store.YES,Index.ANALYZED));
			document.add(new Field("title", "sssss", Field.Store.YES,Index.ANALYZED));
			document.add(new Field("content", "sssss", Field.Store.YES,Index.ANALYZED));
			document.add(new Field("url", up, Field.Store.YES,Index.ANALYZED));
			//UPDATE方法
			writer.updateDocument(new Term("kid", key), document);
			//提交
			writer.commit();
			writer.close();
		} catch (Exception e) {
			e.printStackTrace();
		}
	}