我寫了一個小的mapreduce作業來查找數據集中第二高的薪水。我相信第二個最高薪水邏輯是正確的。但是我得到了多個不正確的輸出，應該只有一個名稱為John的輸出，例如9000。而且輸出也不正確，這里我給出了數據集和代碼hh,0,Jeet,3000hk,1,Mayukh,4000nn,2,Antara,3500mm,3,Shubu,6000ii,4,Parsi,8000  輸出應該是Shubu，6000，但是我得到以下輸出  Antara    -2147483648  Mayukh    -2147483648  Parsi      3500  Shubu      4000我正在使用的代碼是 public class SecondHigestMapper extends Mapper<LongWritable,Text,Text,Text>{private Text salary = new Text();private Text name = new Text();public void map(LongWritable key,Text value,Context context) throws IOException, InterruptedException{    if(key.get()!=0){        String split[]= value.toString().split(",");        salary.set(split[2]+";"+split[3]);        name.set("ignore");        context.write(name,salary);    }}} public class SecondHigestReducer extends Reducer<Text,Text,Text,IntWritable>{public void reduce(Text key,Iterable<Text> values,Context context) throws IOException, InterruptedException{    int highest = 0;    int second_highest = 0;    int salary;    for(Text val:values){        String[] fn = val.toString().split("\\;");        salary = Integer.parseInt(fn[3]);        if(highest < salary){              second_highest = highest;              highest =salary;         } else if(second_highest < salary){              second_highest = salary;        }    }    String seconHigest = String.valueOf(second_highest);    context.write(new Text(key),new Text(seconHigest));} }