Mailing-List: contact core-dev-help@hadoop.apache.org; run by ezmlm
Precedence: bulk
Reply-To: core-dev@hadoop.apache.org
Message-ID: <2121222271.1213704825487.JavaMail.jira@brutus>
Date: Tue, 17 Jun 2008 05:13:45 -0700 (PDT)
From: "Hemanth Yamijala (JIRA)" <jira@apache.org>
To: core-dev@hadoop.apache.org
Subject: [jira] Commented: (HADOOP-3581) Prevent memory intensive user tasks
 from taking down nodes
In-Reply-To: <1009886343.1213704226494.JavaMail.jira@brutus>
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit


    [ https://issues.apache.org/jira/browse/HADOOP-3581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12605565#action_12605565 ] 

Hemanth Yamijala commented on HADOOP-3581:
------------------------------------------

This is seen for Streaming applications. For Java based applications, we already have a way of limiting the memory using Hadoop configuration.

> Prevent memory intensive user tasks from taking down nodes
> ----------------------------------------------------------
>
>                 Key: HADOOP-3581
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3581
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: mapred
>            Reporter: Hemanth Yamijala
>
> Sometimes user Map/Reduce applications can get extremely memory intensive, maybe due to some inadvertent bugs in the user code, or the amount of data processed. When this happens, the user tasks start to interfere with the proper execution of other processes on the node, including other Hadoop daemons like the DataNode and TaskTracker. Thus, the node would become unusable for any Hadoop tasks. There should be a way to prevent such tasks from bringing down the node.

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