Return-Path: X-Original-To: apmail-hadoop-user-archive@minotaur.apache.org Delivered-To: apmail-hadoop-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 58558C91D for ; Fri, 17 Aug 2012 11:39:35 +0000 (UTC) Received: (qmail 66799 invoked by uid 500); 17 Aug 2012 11:39:30 -0000 Delivered-To: apmail-hadoop-user-archive@hadoop.apache.org Received: (qmail 66575 invoked by uid 500); 17 Aug 2012 11:39:28 -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 66548 invoked by uid 99); 17 Aug 2012 11:39:27 -0000 Received: from athena.apache.org (HELO athena.apache.org) (140.211.11.136) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 17 Aug 2012 11:39:27 +0000 X-ASF-Spam-Status: No, hits=1.5 required=5.0 tests=FSL_RCVD_USER,HTML_MESSAGE,RCVD_IN_DNSWL_LOW,SPF_PASS X-Spam-Check-By: apache.org Received-SPF: pass (athena.apache.org: domain of gdsayshi@gmail.com designates 209.85.216.48 as permitted sender) Received: from [209.85.216.48] (HELO mail-qa0-f48.google.com) (209.85.216.48) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 17 Aug 2012 11:39:20 +0000 Received: by qady1 with SMTP id y1so1645941qad.14 for ; Fri, 17 Aug 2012 04:38:59 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=QazVHxHSBvhK2RvP61kvYFdYGNUtuCmRnB0EC0ceMtc=; b=Gwm7o/q4jeT5IpBFhieJduWNMdmvxCW7wc6+CIBinRsHRFvyqk6kwzhdxSffbVeM8Y FgIMMkO9m1TvaQlgcrtJ0uvIJgg4zuTulo1URbTGfl3hi7SARszEHpAYiuZV1d67D70a znALt4qF3SnNKfVZy7XyG6/Xx/Qfg89JAPpDbp7e+/TIAS0bfuUPHNhJIX82v4V+qASA dUIqMYoJWiJ31WPojM3uMAGnfDXQW5hBYF1kyChZWR/+WpAS3qBdYnIAjCeFgVp2YnTU lptacDVewr3xHgsJH8AGOjB4MOUIJ+wHWUAp3Hsi2iJNw/5ZuVq5Hs3+FiWLjcqRXLNw cXKQ== MIME-Version: 1.0 Received: by 10.229.135.17 with SMTP id l17mr2231135qct.149.1345203539784; Fri, 17 Aug 2012 04:38:59 -0700 (PDT) Received: by 10.49.60.102 with HTTP; Fri, 17 Aug 2012 04:38:59 -0700 (PDT) In-Reply-To: References: <85CC6A30-BF6F-4CEB-9E92-6AA2D73C596B@gmail.com> Date: Fri, 17 Aug 2012 17:08:59 +0530 Message-ID: Subject: Re: Number of Maps running more than expected From: Gaurav Dasgupta To: user@hadoop.apache.org Content-Type: multipart/mixed; boundary=00248c76914623b3a704c7749b6b X-Virus-Checked: Checked by ClamAV on apache.org --00248c76914623b3a704c7749b6b Content-Type: multipart/alternative; boundary=00248c76914623b3a004c7749b69 --00248c76914623b3a004c7749b69 Content-Type: text/plain; charset=ISO-8859-1 Hi Bejoy, The total number of Maps in the RandomTextWriter execution were 100 and hence the total number of input files for WordCount are 100. My dfs.block.size = 128MB and I have not changed the mapred.max.split.size and could not find it in myJob.xml file. Hence refering the formula *max(minsplitsize, min(maxsplitsize, blocksize))*, I am assuming the mapred.max.split.size to be 128MB. If I calculate the blocks per file [bytes per file / block size (128 MB)] gives me 8.21 for all. And then if I sum up them it becomes 821.22 (Same as my previous calculation). I have some how managed to do a need copy of the Job.xml in a word doc. I copied it from browser as I cannot recover it in the hdfs. Please find it in the attachment. You may refer the parameters and configuration there. I have also attached the console output for the bytes per file in the WordCount input. Regards, Gaurav Dasgupta On Fri, Aug 17, 2012 at 3:28 PM, Bejoy Ks wrote: > Hi Gaurav > > To add on more clarity to my previous mail > If you are using the default TextInputFormat there will be *atleast* one > task generated per file even if the file size is less than > the block size. (assuming you have split size equal to block size) > > So the right way to calculate the number of splits is per file and not on > the whole input data size. Calculate number of blocks per file and summing > up those values from all files would equate to the number of mappers. > > What is the value of mapred.max.splitsize in your job? If it is less than > the hdfs block size there will be more spits for even for a hdfs block. > > Regards > Bejoy KS > > > > --00248c76914623b3a004c7749b69 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable
Hi Bejoy,
=A0
The total number of Maps in the RandomTextWriter execution were 100 an= d hence the total number of input files for WordCount are 100.
My dfs.block.size =3D 128MB and I have not changed the mapred.max.spli= t.size=A0and=A0could not find it in=A0myJob.xml file.=A0
Hence refering the formula max(minsplitsize, min(maxsplitsize,= blocksize)), I am assuming the mapred.max.split.size to be 128MB.=
If I calculate the blocks per file [bytes per file / block size (128= =A0MB)] gives me 8.21 for all. And then if I sum up=A0them it becomes 821.2= 2=A0(Same as my previous calculation).
=A0
I have some how managed to do a need copy of the Job.xml in a word doc= . I copied it from browser as I=A0cannot recover it in the hdfs. Please fin= d it in the attachment. You may refer the=A0parameters and configuration th= ere. I have also attached the console output for the bytes per file in the = WordCount input.
=A0
Regards,
Gaurav Dasgupta=A0
On Fri, Aug 17, 2012 at 3:28 PM, Bejoy Ks <bejoy.hadoop@gmail.com> wrote:
Hi Gaurav

To add on more clarity to my previous mail=A0=20
If you are using the default TextInputFormat there will be atleast<= /b> one task=A0generated=A0per file even if the file size is less than the= =A0block=A0size.=A0(assuming=A0you have split size equal to=A0block=A0size)=

So the right way to=A0calculate=A0the number of splits is per file and= not on the whole input data size.=A0Calculate=A0number of blocks per file = and summing up those values from all files would equate to the number of ma= ppers.=A0

What is the value of mapred.max.splitsize in your job? If it is less t= han the hdfs block size there will be more spits for even for a hdfs block.=

Regards
Bejoy KS




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