Reducer无法在Mapreduce程序中正常工作

Question

我正在尝试使用MR来查找州的全部未注册信息， 下面是示例数据存储， 第1条记录（telangana（3）是状态，第8个字段是注册成功或失败） 印度银行，Frontech Systems Pvt Ltd，Telangana，Nalgonda，Miryalaguda，508207，M，1,3,0,0,3

印度银行，Frontech Systems Pvt Ltd，Telangana，Nalgonda，Miryalaguda，508207，M，1,2、0、0、2

我应该得到输出 telanga 1 telanga 1 telanga 2 但我越来越 telanga 1 telanga 1

以下是我的Mapper代码：-

public class adhaarmapper extends Mapper < LongWritable,Text,Text,IntWritable>
{
        @Override
        public void map(LongWritable key,Text value,Context context)
                        throws IOException,InterruptedException {
        String[] adhaar_info=value.toString().split(",");
         String State= adhaar_info[2].toString();
        // String  adhaar_generated= adhaar_info[8];
         int adhaar_generated=Integer.parseInt(adhaar_info[8]);
          context.write(new Text(State), new IntWritable(adhaar_generated));
        }
}

减速器代码：-

package aadhaaranalysis;

import java.io.IOException;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;

public class aadhaarrducer extends Reducer <Text,Text,Text,IntWritable>{
         public void reduce (Text key,Iterable<IntWritable> values,Context context)
                         throws IOException, InterruptedException{

                   int count=0;
                   for (IntWritable value : values){
                           count+=value.get();
                   }
                   context.write(key, new IntWritable(count));
         }

}