lucene版本升级到4.6.0以上之后使用mmseg4j分词器遇到的问题

使用 mmseg4j 1.9.1 使用的是 lucene 4.3  没问题。

package com.artbulb.search.utils;

import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;

import com.chenlb.mmseg4j.analysis.MaxWordAnalyzer;
 
public class Test {
     
      
    public static void main(String[] args)throws Exception {
                      //下面这个分词器，是经过修改支持同义词的分词器
    	    //Analyzer analyzer = new ComplexAnalyzer();
    	    //Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_47);   
    	   // Analyzer analyzer = new SimpleAnalyzer(Version.LUCENE_47);   
    	   Analyzer analyzer = new MaxWordAnalyzer();
    	
    	    String text="goods_zone_bate";
            TokenStream ts=analyzer.tokenStream("field", new StringReader(text));
            CharTermAttribute term=ts.addAttribute(CharTermAttribute.class);
            ts.reset();//重置做准备
            while(ts.incrementToken()){
                System.out.println(term.toString());
            }
            ts.end();//
            ts.close();//关闭流
         
          
    }
 
}

   

   如果使用lucene 4.7 需要注释 ts.reset();

 

package com.artbulb.search.utils;

import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;

import com.chenlb.mmseg4j.analysis.MaxWordAnalyzer;
 
public class Test {
     
      
    public static void main(String[] args)throws Exception {
                      //下面这个分词器，是经过修改支持同义词的分词器
    	    //Analyzer analyzer = new ComplexAnalyzer();
    	    //Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_47);   
    	   // Analyzer analyzer = new SimpleAnalyzer(Version.LUCENE_47);   
    	   Analyzer analyzer = new MaxWordAnalyzer();
    	
    	    String text="goods_zone_bate";
            TokenStream ts=analyzer.tokenStream("field", new StringReader(text));
            CharTermAttribute term=ts.addAttribute(CharTermAttribute.class);
           // ts.reset();//重置做准备
            while(ts.incrementToken()){
                System.out.println(term.toString());
            }
            ts.end();//
            ts.close();//关闭流
         
          
    }
 
}