Could you comment the property where you are setting the number of reducer
tasks and see the behaviour of the program once.
If you already tried could you share the output
On Tue, Apr 17, 2012 at 3:00 PM, Devaraj k <devara...@huawei.com> wrote:
> Can you check the task attempt logs in your cluster and find out what is
> happening in the reduce phase. By default task attempt logs present in
> $HADOOP_LOG_DIR/userlogs/<job-id>/. There could be some bug exist in your
> reducer which is leading to this output.
>
> Thanks
> Devaraj
>
> ________________________________________
> From: Arko Provo Mukherjee [arkoprovomukher...@gmail.com]
> Sent: Tuesday, April 17, 2012 2:07 PM
> To: mapreduce-user@hadoop.apache.org
> Subject: Re: Reducer not firing
>
> Hello,
>
> Many thanks for the reply.
>
> The 'no_of_reduce_tasks' is set to 2. I have a print statement before
> the code I pasted below to check that.
>
> Also I can find two output files part-r-00000 and part-r-00001. But
> they contain the values that has been outputted by the Mapper logic.
>
> Please let me know what I can check further.
>
> Thanks a lot in advance!
>
> Warm regards
> Arko
>
> On Tue, Apr 17, 2012 at 12:48 AM, Devaraj k <devara...@huawei.com> wrote:
> > Hi Arko,
> >
> > What is value of 'no_of_reduce_tasks'?
> >
> > If no of reduce tasks are 0, then the map task will directly write map
> output into the Job output path.
> >
> > Thanks
> > Devaraj
> >
> > ________________________________________
> > From: Arko Provo Mukherjee [arkoprovomukher...@gmail.com]
> > Sent: Tuesday, April 17, 2012 10:32 AM
> > To: mapreduce-user@hadoop.apache.org
> > Subject: Reducer not firing
> >
> > Dear All,
> >
> > I am porting code from the old API to the new API (Context objects)
> > and run on Hadoop 0.20.203.
> >
> > Job job_first = new Job();
> >
> > job_first.setJarByClass(My.class);
> > job_first.setNumReduceTasks(no_of_reduce_tasks);
> > job_first.setJobName("My_Job");
> >
> > FileInputFormat.addInputPath( job_first, new Path (Input_Path) );
> > FileOutputFormat.setOutputPath( job_first, new Path (Output_Path) );
> >
> > job_first.setMapperClass(Map_First.class);
> > job_first.setReducerClass(Reduce_First.class);
> >
> > job_first.setMapOutputKeyClass(IntWritable.class);
> > job_first.setMapOutputValueClass(Text.class);
> >
> > job_first.setOutputKeyClass(NullWritable.class);
> > job_first.setOutputValueClass(Text.class);
> >
> > job_first.waitForCompletion(true);
> >
> > The problem I am facing is that instead of emitting values to
> > reducers, the mappers are directly writing their output in the
> > OutputPath and the reducers and not processing anything.
> >
> > As read from the online materials that are available both my Map and
> > Reduce method uses the context.write method to emit the values.
> >
> > Please help. Thanks a lot in advance!!
> >
> > Warm regards
> > Arko
>
