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 EAB5E1031D for ; Fri, 20 Dec 2013 14:30:23 +0000 (UTC) Received: (qmail 6114 invoked by uid 500); 20 Dec 2013 14:28:53 -0000 Delivered-To: apmail-hadoop-hdfs-user-archive@hadoop.apache.org Received: (qmail 5982 invoked by uid 500); 20 Dec 2013 14:28:48 -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 5963 invoked by uid 99); 20 Dec 2013 14:28:46 -0000 Received: from athena.apache.org (HELO athena.apache.org) (140.211.11.136) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 20 Dec 2013 14:28:46 +0000 X-ASF-Spam-Status: No, hits=2.5 required=5.0 tests=DC_PNG_UNO_LARGO,FREEMAIL_ENVFROM_END_DIGIT,HTML_MESSAGE,RCVD_IN_DNSWL_NONE,SPF_PASS X-Spam-Check-By: apache.org Received-SPF: pass (athena.apache.org: domain of java8964@hotmail.com designates 65.55.90.81 as permitted sender) Received: from [65.55.90.81] (HELO snt0-omc2-s6.snt0.hotmail.com) (65.55.90.81) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 20 Dec 2013 14:28:41 +0000 Received: from SNT149-W62 ([65.55.90.71]) by snt0-omc2-s6.snt0.hotmail.com with Microsoft SMTPSVC(6.0.3790.4675); Fri, 20 Dec 2013 06:28:19 -0800 X-TMN: [fky6Li5IrzRQZFWMI0Cn/yXpLyXraX4I0Ee7k4oQsYg=] X-Originating-Email: [java8964@hotmail.com] Message-ID: Content-Type: multipart/related; boundary="_0c832d79-dec0-401a-9c11-a0c77636ed38_" From: java8964 To: "user@hadoop.apache.org" Subject: RE: Running Hadoop v2 clustered mode MR on an NFS mounted filesystem Date: Fri, 20 Dec 2013 09:28:19 -0500 Importance: Normal In-Reply-To: References: , MIME-Version: 1.0 X-OriginalArrivalTime: 20 Dec 2013 14:28:19.0339 (UTC) FILETIME=[BA9DFDB0:01CEFD8F] X-Virus-Checked: Checked by ClamAV on apache.org --_0c832d79-dec0-401a-9c11-a0c77636ed38_ Content-Type: multipart/alternative; boundary="_71803f68-8db7-4365-8369-c630019e3eac_" --_71803f68-8db7-4365-8369-c630019e3eac_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable I believe the "-fs local" should be removed too. The reason is that even yo= u have a dedicated JobTracker after removing "-jt local"=2C but with "-fs l= ocal"=2C I believe that all the mappers will be run sequentially. "-fs local" will force the mapreducer run in "local" mode=2C which is reall= y a test mode. What you can do is to remove both "-fs local -jt local"=2C but give the FUL= L URI of the input and output path=2C to tell Hadoop that they are local fi= lesystem instead of HDFS. "hadoop jar /hduser/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples= -2.2.0.jar wordcount file:///hduser/mount_point file:///results" Keep in mind followings: 1) The NFS mount need to be available in all your Task Nodes=2C and mounted= in the same way.2) Even you can do that=2C but your sharing storage will b= e your bottleneck. NFS won't work well for scalability.=20 Yong Date: Fri=2C 20 Dec 2013 09:01:32 -0500 Subject: Re: Running Hadoop v2 clustered mode MR on an NFS mounted filesyst= em From: dsuiter@rdx.com To: user@hadoop.apache.org I think most of your problem is coming from the options you are setting: "hadoop jar /hduser/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples= -2.2.0.jar wordcount -fs local -jt local /hduser/mount_point/ /results" =0A= You appear to be directing your namenode to run jobs in the LOCAL job runne= r and directing it to read from the LOCAL filesystem. Drop the -jt argument= and it should run in distributed mode if your cluster is set up right. You= don't need to do anything special to point Hadoop towards a NFS location= =2C other than set up the NFS location properly and make sure if you are di= recting to it by name that it will resolve to the right address. Hadoop doe= sn't care where it is=2C as long as it can read from and write to it. The f= act that you are telling it to read/write from/to a NFS location that happe= ns to be mounted as a local filesystem object doesn't matter - you could di= rect it to the local /hduser/ path and set the -fs local option=2C and it w= ould end up on the NFS mount=2C because that's where the NFS mount actually= exists=2C or you could direct it to the absolute network location of the f= older that you want=2C it shouldn't make a difference.=0A= Devin SuiterJr. Data Solutions Software Engineer=0A= 100 Sandusky Street | 2nd Floor | Pittsburgh=2C PA 15212 Google Voice: 412-256-8556 | www.rdx.com=0A= On Fri=2C Dec 20=2C 2013 at 5:27 AM=2C Atish Kathpal wrote: =0A= Hello=20 The picture below describes the deployment architecture I am trying to achi= eve. However=2C when I run the wordcount example code with the below config= uration=2C by issuing the command from the master node=2C I notice only the= master node spawning map tasks and completing the submitted job. Below is = the command I used:=0A= =0A= =0A= hadoop jar /hduser/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-= 2.2.0.jar wordcount -fs local -jt local /hduser/mount_point/ /results Question: How can I leverage both the hadoop nodes for running MR=2C while = serving my data from the common NFS mount point running my filesystem at th= e backend? Has any one tried such a setup before?=0A= =0A= =0A= Thanks!=0A= = --_71803f68-8db7-4365-8369-c630019e3eac_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable
I believe the "-fs local" should= be removed too. The reason is that even you have a dedicated JobTracker af= ter removing "-jt local"=2C but with "-fs local"=2C I believe that all the = mappers will be run sequentially.

"-fs local" will force= the mapreducer run in "local" mode=2C which is really a test mode.

What you can do is to remove both "-fs local -jt local"= =2C but give the FULL URI of the input and output path=2C to tell Hadoop th= at they are local filesystem instead of HDFS.

"had= oop jar /hduser/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2= .0.jar wordcount file:///hduser/mount_point file:///results"

=
Keep in mind followings:

1) The NFS mou= nt need to be available in all your Task Nodes=2C and mounted in the same w= ay.
2) Even you can do that=2C but your sharing storage will be y= our bottleneck. NFS won't work well for scalability. =3B

=
Yong

Date: Fri=2C 20 Dec 201= 3 09:01:32 -0500
Subject: Re: Running Hadoop v2 clustered mode MR on an = NFS mounted filesystem
From: dsuiter@rdx.com
To: user@hadoop.apache.o= rg

I think most of your problem is coming from the = options you are setting:

"hadoop jar /hduser/hadoop/shar= e/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount -fs loc= al -jt local /hduser/mount_point/  =3B/results"
=0A=

You appear to be directing your namenode to run j= obs in the LOCAL =3Bjob runner and directing it to read from the= LOCAL =3Bfilesystem. Drop the -jt argument and it should= run in distributed mode if your cluster is set up right. You don't need to= do anything special to point Hadoop towards a NFS location=2C other than s= et up the NFS location properly and make sure if you are directing to it by= name that it will resolve to the right address. Hadoop doesn't care where = it is=2C as long as it can read from and write to it. The fact that you are= telling it to read/write from/to a NFS location that happens to be mounted= as a local filesystem object doesn't matter - you could direct it to the l= ocal /hduser/ path and set the -fs local option=2C and it would end up on t= he NFS mount=2C because that's where the NFS mount actually exists=2C or yo= u could direct it to the absolute network location of the folder that you w= ant=2C it shouldn't make a difference.
=0A=

Devin Suiter
Jr. Data Solutions Software Engineer
=0A= 100 Sandusky Street | 2nd Floor | Pittsburgh=2C PA 15212
Google Voice: 4= 12-256-8556 | =3Bwww.= rdx.com
=0A=

On Fri=2C Dec 20=2C 2013 at 5:27 AM= =2C Atish Kathpal <=3Batish.kathpal@gmail.com>=3B wrote:=
=0A=
Hello =3B

The picture below describ= es the deployment architecture I am trying to achieve. =3B
Ho= wever=2C when I run the wordcount example code with the below configuration= =2C by issuing the command from the master node=2C I notice only the master= node spawning map tasks and completing the submitted job. Below is the com= mand I used:
=0A= =0A= =0A=

hadoop jar /hduser/hadoop/share/hadoop/mapreduc= e/hadoop-mapreduce-examples-2.2.0.jar wordcount -fs local -jt local /hduser= /mount_point/  =3B/results

Questi= on: How can I leverage both the hadoop nodes for running MR=2C while servin= g my data from the common NFS mount point running my filesystem at the back= end? Has any one tried such a setup before?
=0A= =0A= =0A=
3D"Inline

Thanks!
=0A=

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