Hi Masoud
One reducer would definitely emit one output file. If you are looking at
just one file as your final result in lfs, Then once you have the MR job done
use hadoop fs -getmerge .
Sent from BlackBerry® on Airtel
-----Original Message-----
From: Masoud <mas...@agape.hanyang.ac.kr>
Date: Tue, 20 Mar 2012 19:49:01
To: <common-user@hadoop.apache.org>
Reply-To: common-user@hadoop.apache.org
Subject: Re: Increasing number of Reducers
Thanks for reply,
as you know in this way we will have n final result too,
is this any way to increase the number of Reducer for fast computation
but have only one final result?
B.S
Masoud
On 03/20/2012 07:02 PM, bejoy.had...@gmail.com wrote:
> Hi Mausoud
> Set -D mapred.reduce.tasks=n; ie to any higher value.
> Sent from BlackBerry® on Airtel
>
> -----Original Message-----
> From: Masoud<mas...@agape.hanyang.ac.kr>
> Date: Tue, 20 Mar 2012 17:52:58
> To:<common-user@hadoop.apache.org>
> Reply-To: common-user@hadoop.apache.org
> Subject: Increasing number of Reducers
>
> Hi all,
>
> we have a cluster with 32 machines and running C# version of wordcount
> program on it.
> Map phase is done by different machines but Reduce is only done by one
> machine. Our data is around 7G text data and by using one machine for
> Reduce phase this job is doing so slowly.
> Is there any way to increase number of reducers?
>
> Thanks
> Masoud
