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
