Return-Path: X-Original-To: apmail-hadoop-common-user-archive@www.apache.org Delivered-To: apmail-hadoop-common-user-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 3EA439017 for ; Fri, 11 May 2012 19:57:36 +0000 (UTC) Received: (qmail 22174 invoked by uid 500); 11 May 2012 19:57:32 -0000 Delivered-To: apmail-hadoop-common-user-archive@hadoop.apache.org Received: (qmail 22116 invoked by uid 500); 11 May 2012 19:57:32 -0000 Mailing-List: contact common-user-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: common-user@hadoop.apache.org Delivered-To: mailing list common-user@hadoop.apache.org Received: (qmail 22108 invoked by uid 99); 11 May 2012 19:57:32 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 11 May 2012 19:57:32 +0000 X-ASF-Spam-Status: No, hits=-0.7 required=5.0 tests=RCVD_IN_DNSWL_LOW,SPF_PASS X-Spam-Check-By: apache.org Received-SPF: pass (nike.apache.org: domain of lleung@ddn.com designates 74.62.46.229 as permitted sender) Received: from [74.62.46.229] (HELO mail.datadirectnet.com) (74.62.46.229) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 11 May 2012 19:57:27 +0000 Received: from MAILBOXCLUSTER.datadirect.datadirectnet.com ([10.8.16.28]) by dermtp01.datadirect.datadirectnet.com ([10.8.16.38]) with mapi; Fri, 11 May 2012 12:58:00 -0700 From: Leo Leung To: "common-user@hadoop.apache.org" Date: Fri, 11 May 2012 12:58:00 -0700 Subject: RE: Question on MapReduce Thread-Topic: Question on MapReduce Thread-Index: Ac0vrzhWiJLGDNIhQciPuNhWPE+0EQAAAX5Q Message-ID: References: In-Reply-To: Accept-Language: en-US Content-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: acceptlanguage: en-US Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 This maybe dated materials. Cloudera and HDP folks please correct with updates :) http://www.cloudera.com/blog/2010/03/clouderas-support-team-shares-some-bas= ic-hardware-recommendations/ http://www.cloudera.com/blog/2010/08/hadoophbase-capacity-planning/ http://hortonworks.com/blog/best-practices-for-selecting-apache-hadoop-hard= ware/ Hope this helps. -----Original Message----- From: Satheesh Kumar [mailto:nkseam@gmail.com]=20 Sent: Friday, May 11, 2012 12:48 PM To: common-user@hadoop.apache.org Subject: Re: Question on MapReduce Thanks, Leo. What is the config of a typical data node in a Hadoop cluster - cores, storage capacity, and connectivity (SATA?).? How many tasktrackers= scheduled per core in general? Is there a best practices guide somewhere? Thanks, Satheesh On Fri, May 11, 2012 at 10:48 AM, Leo Leung wrote: > Nope, you must tune the config on that specific super node to have=20 > more M/R slots (this is for 1.0.x) This does not mean the JobTracker=20 > will be eager to stuff that super node with all the M/R jobs at hand. > > It still goes through the scheduler, Capacity Scheduler is most=20 > likely what you have. (check your config) > > IMO, If the data locality is not going to be there, your cluster is=20 > going to suffer from Network I/O. > > > -----Original Message----- > From: Satheesh Kumar [mailto:nkseam@gmail.com] > Sent: Friday, May 11, 2012 9:51 AM > To: common-user@hadoop.apache.org > Subject: Question on MapReduce > > Hi, > > I am a newbie on Hadoop and have a quick question on optimal compute vs. > storage resources for MapReduce. > > If I have a multiprocessor node with 4 processors, will Hadoop=20 > schedule higher number of Map or Reduce tasks on the system than on a=20 > uni-processor system? In other words, does Hadoop detect denser=20 > systems and schedule denser tasks on multiprocessor systems? > > If yes, will that imply that it makes sense to attach higher capacity=20 > storage to store more number of blocks on systems with dense compute? > > Any insights will be very useful. > > Thanks, > Satheesh >