have wo reduce with one map in M/R program

Question

I have a question.. How can I have a mapreduce job with one mapper and two reducer that both reducer inputs come from map output? and each of reducers has its own output? and one other thing is that can mapper have 2 or more inputs?

public static class dpred extends Reducer<Text, DoubleWritable, Text, DoubleWritable>
 {
   public void reduce1(Text key, Iterable<DoubleWritable> values, Context context) throws IOException, InterruptedException
    {
        double beta = 17.62;
        DoubleWritable result1 = new DoubleWritable();
        double mul = 1;
        double res = 1;
         for (DoubleWritable val : values){
         //  System.out.println(val.get());
           mul *= val.get();
           }             
         res = beta*mul;
         result1.set(res);
         context.write(key, result1);
     }

///////////////////////////////////////////////////////////

public void reduce2(Text key, Iterable<DoubleWritable> values, Context context) throws IOException, InterruptedException
{
    double landa = 243.12;
    double sum = 0;
    double res = 0;
    DoubleWritable result2 = new DoubleWritable();
     for (DoubleWritable val : values){
     //  System.out.println(val.get());
       landa += val.get();
       }
    // System.out.println(sum);
     result2.set(landa);
     context.write(key, result2);
   }
 }

Answer 1

if the operation is this simple you could consider doing 2 context.write() in once reduce function (it's possible with MultipleOutputs to write them to different files if you want)