Return-Path: <mapreduce-issues-return-87215-archive-asf-public=cust-asf.ponee.io@hadoop.apache.org>
X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io
Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io
Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183])
	by cust-asf2.ponee.io (Postfix) with ESMTP id 35684200BBB
	for <archive-asf-public-internal@cust-asf2.ponee.io>; Thu, 27 Oct 2016 07:53:00 +0200 (CEST)
Received: by cust-asf.ponee.io (Postfix)
	id 3424B160B02; Thu, 27 Oct 2016 05:53:00 +0000 (UTC)
Delivered-To: archive-asf-public@cust-asf.ponee.io
Received: from mail.apache.org (hermes.apache.org [140.211.11.3])
	by cust-asf.ponee.io (Postfix) with SMTP id 87FF8160AEE
	for <archive-asf-public@cust-asf.ponee.io>; Thu, 27 Oct 2016 07:52:59 +0200 (CEST)
Received: (qmail 22322 invoked by uid 500); 27 Oct 2016 05:52:58 -0000
Mailing-List: contact mapreduce-issues-help@hadoop.apache.org; run by ezmlm
Precedence: bulk
List-Help: <mailto:mapreduce-issues-help@hadoop.apache.org>
List-Unsubscribe: <mailto:mapreduce-issues-unsubscribe@hadoop.apache.org>
List-Post: <mailto:mapreduce-issues@hadoop.apache.org>
List-Id: <mapreduce-issues.hadoop.apache.org>
Delivered-To: mailing list mapreduce-issues@hadoop.apache.org
Received: (qmail 22276 invoked by uid 99); 27 Oct 2016 05:52:58 -0000
Received: from arcas.apache.org (HELO arcas) (140.211.11.28)
    by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 27 Oct 2016 05:52:58 +0000
Received: from arcas.apache.org (localhost [127.0.0.1])
	by arcas (Postfix) with ESMTP id 719422C2A67
	for <mapreduce-issues@hadoop.apache.org>; Thu, 27 Oct 2016 05:52:58 +0000 (UTC)
Date: Thu, 27 Oct 2016 05:52:58 +0000 (UTC)
From: "Rohith Sharma K S (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
Message-ID: <JIRA.13012482.1476482540000.97336.1477547578462@Atlassian.JIRA>
In-Reply-To: <JIRA.13012482.1476482540000@Atlassian.JIRA>
References: <JIRA.13012482.1476482540000@Atlassian.JIRA> <JIRA.13012482.1476482540152@arcas>
Subject: [jira] [Commented] (MAPREDUCE-6793) io.sort.factor code default and
 mapred-default.xml values inconsistent
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit
X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394
archived-at: Thu, 27 Oct 2016 05:53:00 -0000


    [ https://issues.apache.org/jira/browse/MAPREDUCE-6793?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15610781#comment-15610781 ] 

Rohith Sharma K S commented on MAPREDUCE-6793:
----------------------------------------------

I think we should retain the default value as same as current one i.e 100. Changing in code default value MRJobConfig.DEFAULT_IO_SORT_FACTOR to 10 would reflect job performance which are using default values.

> io.sort.factor code default and mapred-default.xml values inconsistent
> ----------------------------------------------------------------------
>
>                 Key: MAPREDUCE-6793
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6793
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: task
>    Affects Versions: 2.6.5, 3.0.0-alpha1
>            Reporter: Gera Shegalov
>            Assignee: Prabhu Joseph
>            Priority: Trivial
>              Labels: noob
>         Attachments: 0001-MAPREDUCE-6793.patch
>
>
> The actual default value in mapred-default.xml:
> {code}
> <property>
>   <name>mapreduce.task.io.sort.factor</name>
>   <value>10</value>
>   <description>The number of streams to merge at once while sorting
>   files.  This determines the number of open file handles.</description>
> </property>
> {code}
> However, MapTask and MergeManagerImpl, are coded with:
> {code}       
>  int mergeFactor = job.getInt(JobContext.IO_SORT_FACTOR, 100);
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: mapreduce-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: mapreduce-issues-help@hadoop.apache.org