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https://issues.apache.org/jira/browse/HADOOP-4586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12644948#action_12644948
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Amar Kamat commented on HADOOP-4586:
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Francesco, HADOOP-3245 allows jobtracker to (re)start. If the history files are
maintained on dfs then the jobtracker can start on any other machine. The only
issue that prevents us from achieving complete fault tolerance is HADOOP-4016.
Once that gets fixed, we can _port_ the jobtracker to any machine and
_continue_ from there. Hence the jobtracker is fault tolerant but the switch is
not seamless and porting requires manual intervention.
> Fault tolerant Hadoop Job Tracker
> ---------------------------------
>
> Key: HADOOP-4586
> URL: https://issues.apache.org/jira/browse/HADOOP-4586
> Project: Hadoop Core
> Issue Type: New Feature
> Components: mapred
> Affects Versions: 0.18.0
> Environment: High availability enterprise system
> Reporter: Francesco Salbaroli
> Attachments: FaultTolerantHadoop.pdf
>
> Original Estimate: 2016h
> Remaining Estimate: 2016h
>
> The Hadoop framework has been designed, in an eort to enhance perfor-
> mances, with a single JobTracker (master node). It's responsibilities varies
> from managing job submission process, compute the input splits, schedule
> the tasks to the slave nodes (TaskTrackers) and monitor their health.
> In some environments, like the IBM and Google's Internet-scale com-
> puting initiative, there is the need for high-availability, and performances
> becomes a secondary issue. In this environments, having a system with
> a Single Point of Failure (such as Hadoop's single JobTracker) is a major
> concern.
> My proposal is to provide a redundant version of Hadoop by adding
> support for multiple replicated JobTrackers. This design can be approached
> in many dierent ways.
> In the document at:
> http://sites.google.com/site/hadoopthesis/Home/FaultTolerantHadoop.pdf?attredirects=0
> I wrote an overview of the problem and some approaches to solve it.
> I post this to the community to gather feedback on the best way to proceed in
> my work.
> Thank you!
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