Mailing-List: contact mapreduce-issues-help@hadoop.apache.org; run by ezmlm
Precedence: bulk
Reply-To: mapreduce-issues@hadoop.apache.org
Message-ID: <1921964266.259881266122668141.JavaMail.jira@brutus.apache.org>
Date: Sun, 14 Feb 2010 04:44:28 +0000 (UTC)
From: "Rodrigo Schmidt (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
Subject: [jira] Updated: (MAPREDUCE-1491) Use HAR filesystem to merge parity
 files
In-Reply-To: <1417798041.259731266122548052.JavaMail.jira@brutus.apache.org>
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit


     [ https://issues.apache.org/jira/browse/MAPREDUCE-1491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rodrigo Schmidt updated MAPREDUCE-1491:
---------------------------------------

    Status: Patch Available  (was: Open)

> Use HAR filesystem to merge parity files 
> -----------------------------------------
>
>                 Key: MAPREDUCE-1491
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1491
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: Rodrigo Schmidt
>            Assignee: Rodrigo Schmidt
>         Attachments: MAPREDUCE-1491.0.patch
>
>
> The HDFS raid implementation (HDFS-503) creates a parity file for every file that is RAIDed. This puts additional burden on the memory requirements of the namenode. It will be  nice if the parity files are combined together using the HadoopArchive (har) format.
> This was (HDFS-684) before, but raid migrated to MAPREDUCE.

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.