Return-Path: X-Original-To: apmail-hadoop-hdfs-user-archive@minotaur.apache.org Delivered-To: apmail-hadoop-hdfs-user-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 810CF10BB4 for ; Fri, 6 Dec 2013 11:08:44 +0000 (UTC) Received: (qmail 33091 invoked by uid 500); 6 Dec 2013 11:08:24 -0000 Delivered-To: apmail-hadoop-hdfs-user-archive@hadoop.apache.org Received: (qmail 32984 invoked by uid 500); 6 Dec 2013 11:08:22 -0000 Mailing-List: contact user-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@hadoop.apache.org Delivered-To: mailing list user@hadoop.apache.org Received: (qmail 32964 invoked by uid 99); 6 Dec 2013 11:08:17 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 06 Dec 2013 11:08:17 +0000 X-ASF-Spam-Status: No, hits=2.2 required=5.0 tests=HTML_MESSAGE,SPF_PASS X-Spam-Check-By: apache.org Received-SPF: pass (nike.apache.org: local policy) Received: from [212.122.43.157] (HELO datameer.com) (212.122.43.157) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 06 Dec 2013 11:08:10 +0000 Received: from [192.168.178.170] (unknown [192.168.178.170]) by datameer.com (Postfix) with ESMTPSA id E36334BBB384 for ; Fri, 6 Dec 2013 12:07:48 +0100 (CET) From: Subroto Mime-Version: 1.0 (Apple Message framework v1283) Content-Type: multipart/alternative; boundary="Apple-Mail=_0F23008D-B152-4682-84CB-C646849FE235" Subject: Re: hadoop -Mapreduce Date: Fri, 6 Dec 2013 12:07:48 +0100 In-Reply-To: To: user@hadoop.apache.org References: Message-Id: X-Mailer: Apple Mail (2.1283) X-Virus-Checked: Checked by ClamAV on apache.org --Apple-Mail=_0F23008D-B152-4682-84CB-C646849FE235 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=iso-8859-1 Hi Ranjini, The number of mappers depend on InputSplits and which intern depends on = size of input data. The number of reducers can be configured by "mapred.reduce.tasks" Further you can get more information on numbers of Maps and Reduce for a = Job from: http://wiki.apache.org/hadoop/HowManyMapsAndReduces Running parallel mappers and reducers depends on availability of map and = reduce slots in the cluster. Cheers, Subroto Sanyal On Dec 6, 2013, at 12:00 PM, Ranjini Rathinam wrote: > HI, > =20 > How to run more than one mapper and reduce parallelly.? > =20 > Please suggest.Thanks in advance. > =20 > Ranjini. --Apple-Mail=_0F23008D-B152-4682-84CB-C646849FE235 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=iso-8859-1 Hi = Ranjini,

The number of mappers depend on InputSplits = and which intern depends on size of input data.
The number of = reducers can be configured by "mapred.reduce.tasks"

Further you = can get more information on numbers of Maps and Reduce for a Job = from:

Runnin= g parallel mappers and reducers depends on availability of map and = reduce slots in the = cluster.

Cheers,
Subroto = Sanyal
On Dec 6, 2013, at 12:00 PM, Ranjini Rathinam = wrote:

HI,
 
How to run more than one mapper and reduce parallelly.?
 
Please suggest.Thanks in advance.
 
Ranjini.

= --Apple-Mail=_0F23008D-B152-4682-84CB-C646849FE235--