关于Lucene 3.0升级到Lucene 4.x 备忘

  最近,需要对项目进行lucene版本升级。而原来项目时基于lucene 3.0的,很古老的一个版本的了。在老版本中中,我们主要用了几个lucene的东西:

  1、查询lucene多目录索引。

  2、构建RAMDirectory,把索引放到内存中,以提高检索效率。

  3、构建Lucene自定义分词。

  4、修改Lucene默认的打分算法。

    下面,将代码改造前和改造后做一对比:

    1. 搜索多索引目录

   3.0 构建多索引目录: 

 1     // 初始化全国索引
 2     private boolean InitGlobal(String strRootPath) {
 3         try {
 4 
 5             IndexSearcher[] searchers = new IndexSearcher[2];
 6             
 7             MultiSearcher globalSearcher = null;
 8             if (Configution.IsMMap.equalsIgnoreCase("true")) {
 9 
10                 searchers[0] = new IndexSearcher(new RAMDirectory(FSDirectory
11                         .open(new File(strRootPath + "/" + GLABOL_INDEX))));
12                 searchers[1] = new IndexSearcher(new RAMDirectory(FSDirectory
13                         .open(new File(strRootPath + "/" + BUS_INDEX))));
14 //                searchers[2] = new IndexSearcher(new RAMDirectory(FSDirectory
15 //                        .open(new File(strRootPath + "/" + LU_INDEX))));
16                 globalSearcher =  new MultiSearcher(searchers);
17             } else {
18                 searchers[0] = new IndexSearcher(FSDirectory.open(new File(
19                         strRootPath + "/" + GLABOL_INDEX)));
20                 searchers[1] = new IndexSearcher(FSDirectory.open(new File(
21                         strRootPath + "/" + BUS_INDEX)));
22 //                searchers[2] = new IndexSearcher(FSDirectory.open(new File(
23 //                        strRootPath + "/" + LU_INDEX)));
24                 
25                 globalSearcher =  new MultiSearcher(searchers);
26             }
27             System.out.println("finish Global");
28 
29             m_mapIndexName2Searcher.put("0", globalSearcher);
30             m_mapAdmin2IndexName.put("0", "0");
31 
32             return true;
33 
34         } catch (Exception e) {
35             e.printStackTrace();
36             SearchLog.SearchLog.error("全国索引初始化异常");
37             return false;
38         }
39     }

     Ok,使用MultiSearcher,这是lucene低版本搜索多索引的解决方案。但是在高版本,MutiSearcher这个类本身都删除了,折腾我很长时间。可见以版本帝著称的Lucene代码设计不是太好。整个lucene代码,接口使用很少,大多是类和抽象类。

       4.x 构建多索引目录: 

	// 初始化全国索引
	private boolean InitGlobal(String strRootPath) {
		try {
			
			IndexSearcher globalSearcher = null;
			if (Configution.IsMMap.equalsIgnoreCase("true")) {
				
				IndexReader irGlobal = DirectoryReader.open(new RAMDirectory(FSDirectory
						.open(new File(strRootPath + "/" + GLABOL_INDEX)),new IOContext()));
				
				IndexReader irBus = DirectoryReader.open(new RAMDirectory(FSDirectory
						.open(new File(strRootPath + "/" + BUS_INDEX)),new IOContext()));
				
				MultiReader mr = new MultiReader(irGlobal,irBus);
				

				globalSearcher =  new IndexSearcher(mr);//new MultiSearcher(searchers);
			} else {

				IndexReader irGlobal = DirectoryReader.open(FSDirectory
						.open(new File(strRootPath + "/" + GLABOL_INDEX)));
				
				IndexReader irBus = DirectoryReader.open(FSDirectory
						.open(new File(strRootPath + "/" + BUS_INDEX)));
				
				MultiReader mr = new MultiReader(irGlobal,irBus);
				globalSearcher =   new IndexSearcher(mr);//new MultiSearcher(searchers);
			}
			System.out.println("finish Global");

			m_mapIndexName2Searcher.put("0", globalSearcher);
			m_mapAdmin2IndexName.put("0", "0");

			return true;

		} catch (Exception e) {
			e.printStackTrace();
			SearchLog.SearchLog.error("全国索引初始化异常");
			return false;
		}
	}

  ok 改造后,直接用IndexSearcher替代MultiSearcher,通过传入MultiReader来检索多个索引目录。

  2、构建RAMDirectory,将索引放入内存中。

    3.0 构建内存索引目录:

                searchers[0] = new IndexSearcher(new RAMDirectory(FSDirectory
                        .open(new File(strRootPath + "/" + GLABOL_INDEX))));
                searchers[1] = new IndexSearcher(new RAMDirectory(FSDirectory
                        .open(new File(strRootPath + "/" + BUS_INDEX))));

    直接将Diretory作为RAMDirectory的构造函数,注意这个动作有坑,如果数据量大,你要等很久的!

    4.x 构建内存索引目录:

                IndexReader irGlobal = DirectoryReader.open(new RAMDirectory(FSDirectory
                        .open(new File(strRootPath + "/" + GLABOL_INDEX)),new IOContext()));
                
                IndexReader irBus = DirectoryReader.open(new RAMDirectory(FSDirectory
                        .open(new File(strRootPath + "/" + BUS_INDEX)),new IOContext()));
                
                MultiReader mr = new MultiReader(irGlobal,irBus);

    在4.x中,安装3.0构造方法是不行的,还需要传入一个IOContext对象,汗~~~~~~~~~~~~~~~~

  3、自定义分词:

    3.0 自定义分词:

public class SingleAnalyzer extends Analyzer {

    /**
     * @param args
     */
    

        public TokenStream tokenStream(String fieldName, Reader reader){
            TokenStream result = null;
            if(fieldName.equals("name"))
            {
                result = new SingleTokenizer(reader);
            }
            if(fieldName.equals("totalcity"))
            {
                result = new IKTokenizer(reader, false);
            }
        
//        result = new StandardFilter(result);
//        result = new LowerCaseFilter(result);
    //    result = new StopFilter(result, stopSet);
        return result;
        }

    
    public static void main(String[] args) {
        // TODO Auto-generated method stub

    }

}

  重写tokenStream方法即可,很简单。

    4.x自定义分词:

public class SingleAnalyzer extends Analyzer {

    /**
     * @param args
     */
    

//        public TokenStream tokenStream(String fieldName, Reader reader){
//            TokenStream result = null;
//            if(fieldName.equals("name"))
//            {
//                result = new SingleTokenizer(reader);
//            }
//            if(fieldName.equals("totalcity"))
//            {
//                result = new IKTokenizer(reader, false);
//            }
//        
////        result = new StandardFilter(result);
////        result = new LowerCaseFilter(result);
//    //    result = new StopFilter(result, stopSet);
//        return result;
//        }

    @Override
    protected TokenStreamComponents createComponents(String fieldName,
            Reader reader) {
        // TODO Auto-generated method stub
//         final Tokenizer source = new ChineseTokenizer(reader);
//          return new TokenStreamComponents(source, new ChineseFilter(source));
        Tokenizer source = null;
        if(fieldName.equals("name")){
            source = new SingleTokenizer(reader);
        }else if(fieldName.equals("totalcity")){
            source = new IKTokenizer(reader, false);
        }
        return new TokenStreamComponents(source, source);
    }

}

  OK,在4.x中你需要重写createComponents方法。

  4、打分算法:

    3.x和4.x打分算法变化不大,但是命名空间发生了变化,汗~~~~~~~~~~~~

           3.x 命名空间:引入:import org.apache.lucene.search.DefaultSimilarity,命名空间在:org.apache.lucene.search

           4.x命名空间:引入:import org.apache.lucene.search.similarities.*,命名空间在:org.apache.lucene.search.similarities。

  5、查询表达式:主要体现在TermRangeQuery上,3.x版本的一个参数是string类型,但是在4.x版本变成了包了string一层的BytesRef,还有其他很多细节变化

    3.x TermRangerQuery: 

 1         String left = Long
 2                     .toString((long) (rcBound.m_dLeft * COORDINATE_SCALE_FACTOR));
 3             String right = Long
 4                     .toString((long) (rcBound.m_dRight * COORDINATE_SCALE_FACTOR));
 5             String top = Long
 6                     .toString((long) (rcBound.m_dTop * COORDINATE_SCALE_FACTOR));
 7             String bottom = Long
 8                     .toString((long) (rcBound.m_dBottom * COORDINATE_SCALE_FACTOR));
 9             
10             
11 
12             TermRangeQuery query1 = new TermRangeQuery("lon", left, right,
13                     true, true);
14             TermRangeQuery query2 = new TermRangeQuery("lat", bottom, top,
15                     true, true);
16             searchQuery.add(query1, BooleanClause.Occur.MUST);
17             searchQuery.add(query2, BooleanClause.Occur.MUST);

       4.x TermRangerQuery:  

String left = Long
                    .toString((long) (rcBound.m_dLeft * COORDINATE_SCALE_FACTOR));
            String right = Long
                    .toString((long) (rcBound.m_dRight * COORDINATE_SCALE_FACTOR));
            String top = Long
                    .toString((long) (rcBound.m_dTop * COORDINATE_SCALE_FACTOR));
            String bottom = Long
                    .toString((long) (rcBound.m_dBottom * COORDINATE_SCALE_FACTOR));
            
            
            BytesRef brLeft = new BytesRef(left);
            BytesRef brRight = new BytesRef(right);
            BytesRef brBottom = new BytesRef(bottom);
            BytesRef brTop = new BytesRef(top);

            TermRangeQuery query1 = new TermRangeQuery("lon",
                    brLeft, brRight, true, true);
            TermRangeQuery query2 = new TermRangeQuery("lat",
                    brBottom, brTop, true, true);
            searchQuery.add(query1, BooleanClause.Occur.MUST);
            searchQuery.add(query2, BooleanClause.Occur.MUST);

  6、关闭IndexSearcher

    3.x 关闭IndexSearcher直接调用close方法即可:

 1 public void UnInit() {
 2         if (!m_bIsInit)
 3             return;
 4 
 5         Iterator iter = m_mapIndexName2Searcher.keySet().iterator();
 6 
 7         while (iter.hasNext()) {
 8 
 9             String key = (String) iter.next();
10 
11             MultiSearcher val = (MultiSearcher) m_mapIndexName2Searcher
12                     .get(key);
13 
14             try {
15     
16                 val.close();//关闭IndexSearcher
17             } catch (IOException e) {
18                 e.printStackTrace();
19                 SearchLog.SearchLog.error("分级索引关闭异常");
20             }
21         }
22 
23         m_mapIndexName2Searcher.clear();
24         m_mapAdmin2IndexName.clear();
25         m_mapIndexName2Searcher = null;
26         m_mapAdmin2IndexName = null;
27         m_bIsInit = false;
28     }    

  4.x 关闭IndexSearcher 没有直接close的方法,需要getIndexReader 然后调用IndexReader的close方法:

 1 public void UnInit() {
 2         if (!m_bIsInit)
 3             return;
 4 
 5         Iterator iter = m_mapIndexName2Searcher.keySet().iterator();
 6 
 7         while (iter.hasNext()) {
 8 
 9             String key = (String) iter.next();
10 
11             IndexSearcher val = (IndexSearcher) m_mapIndexName2Searcher
12                     .get(key);
13 
14             try {
15                 val.getIndexReader().close();//关闭IndexSearcher
16             } catch (IOException e) {
17                 e.printStackTrace();
18                 SearchLog.SearchLog.error("分级索引关闭异常");
19             }
20         }
21 
22         m_mapIndexName2Searcher.clear();
23         m_mapAdmin2IndexName.clear();
24         m_mapIndexName2Searcher = null;
25         m_mapAdmin2IndexName = null;
26         m_bIsInit = false;
27     }

  总之,lucene版本变化很大,如果升级很多方法发送变化,您需要细致观察,多试试,才能升级。升级完成后,最好进行一次功能测试,有些功能可能发生变化甚至错误。升级Lucene不是一件好差事~~~~~~~~~

 

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