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 2FE889C62 for ; Wed, 8 Aug 2012 17:31:48 +0000 (UTC) Received: (qmail 84379 invoked by uid 500); 8 Aug 2012 17:31:43 -0000 Delivered-To: apmail-hadoop-user-archive@hadoop.apache.org Received: (qmail 84287 invoked by uid 500); 8 Aug 2012 17:31:43 -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 84278 invoked by uid 99); 8 Aug 2012 17:31:43 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 08 Aug 2012 17:31:43 +0000 X-ASF-Spam-Status: No, hits=2.2 required=5.0 tests=FSL_RCVD_USER,HTML_MESSAGE,RCVD_IN_DNSWL_LOW,SPF_NEUTRAL X-Spam-Check-By: apache.org Received-SPF: neutral (nike.apache.org: local policy) Received: from [209.85.212.48] (HELO mail-vb0-f48.google.com) (209.85.212.48) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 08 Aug 2012 17:31:36 +0000 Received: by vbme21 with SMTP id e21so1091135vbm.35 for ; Wed, 08 Aug 2012 10:31:14 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type:x-gm-message-state; bh=DbkMQ3t+juOY/6ezE7SaTSO0JI8vgg0qDUtWH+eClMc=; b=J8jpeNcSaIOd8aMwHl1c5WQ8yXxUJIP79KZH5ZLalH7jRp17IKICiDFrce2deofl5r XSSPea+wHTqr8dJfqB67Wr2dG0W5DIK/u2ITdS6/F6SNu989xaCtTPUXECFCCcjWJeoy 1ZCioH8XX5za0+Z0n6ln1Bo8L/5Nsu3kv9Be5qZHn6Eh3PVnycfZvhY8fZEPfVhY3l/6 FyhkBogrYxv/aSJsy5soCKUnQ5Z1o+z6yyB89VKQY4dg7MVtfAa674/32v3bxJd2Vquq +UMioReICaGadwxQ9nGDla5ZGgVHeE+O1KqK4n8pncTmfMIVEs7HxHL4xOTd3nwbM7te 2dVA== MIME-Version: 1.0 Received: by 10.52.70.137 with SMTP id m9mr12621875vdu.49.1344447074134; Wed, 08 Aug 2012 10:31:14 -0700 (PDT) Received: by 10.52.21.209 with HTTP; Wed, 8 Aug 2012 10:31:14 -0700 (PDT) In-Reply-To: <00bc01cd7585$4c585550$e508fff0$@com> References: <00bc01cd7585$4c585550$e508fff0$@com> Date: Wed, 8 Aug 2012 10:31:14 -0700 Message-ID: Subject: Re: is HDFS RAID "data locality" efficient? From: Steve Loughran To: user@hadoop.apache.org Content-Type: multipart/alternative; boundary=bcaec5015e5545ec7804c6c47aaa X-Gm-Message-State: ALoCoQk6Il92u1nalKhfeoyzRDk68WdDbxtuR9U4cFSt5oiLMtcS35bLzcqHaqmPqto+ttiHD6X2 --bcaec5015e5545ec7804c6c47aaa Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On 8 August 2012 09:46, Sourygna Luangsay wrote: > Hi folks!**** > > One of the scenario I can think in order to take advantage of HDFS RAID > without suffering this penalty is:** > > **- **Using normal HDFS with default replication=3D3 for my =E2= =80=9Cfresh > data=E2=80=9D**** > > **- **Using HDFS RAID for my historical data (that is barely > used by M/R)**** > > ** ** > > > exactly: less space use on cold data, with the penalty that access performance can be worse. As the majority of data on a hadoop cluster is usually "cold", it's a space and power efficient story for the archive data --=20 Steve Loughran Hortonworks Inc --bcaec5015e5545ec7804c6c47aaa Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable

On 8 August 2012 09:46, Sourygna Luangsa= y <sluangsay@pragsis.com> wrote:

Hi folks!

One of the scenario I can think in order to take advantage of HDFS RAID without suffering this penalty is:

-=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Using normal HDFS with def= ault replication=3D3 for my =E2=80=9Cfresh data=E2=80=9D

-=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Using HDFS RAID for my historical data (that is barely used by M/R)

=C2=A0



exactly: less space use on cold data, with the penalty that access p= erformance can be worse. As the majority of data on a hadoop cluster is usu= ally "cold", it's a space and power efficient story for the a= rchive data

--
Steve Loughran
Hortonworks Inc

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