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https://issues.apache.org/jira/browse/MAPREDUCE-2648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13061326#comment-13061326
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Abhijit Suresh Shingate commented on MAPREDUCE-2648:
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To add,
We tested this solution on a 100 node cluster and 1000 Jobs, it was measured
that STANDBY JobTracker can detect the failure of ACTIVE JobTracker and becomes
ACTIVE and starts serving requests in less than 1 minute. This includes failure
detection time also.
It will be useful for the organizations which are already using hadoop in
production environment.
> High Availability for JobTracker
> --------------------------------
>
> Key: MAPREDUCE-2648
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2648
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Reporter: Devaraj K
> Attachments: High Availability for JobTracker.pdf
>
> Original Estimate: 336h
> Remaining Estimate: 336h
>
> In Hadoop cluster, JobTracker is responsible for managing the life cycle of
> MapReduce jobs. If JobTracker fails, then MapReduce service will not be
> available until JobTracker is restarted. We propose an automatic failover
> solution for JobTracker to address such single point of failure. It is based
> on Leader Election Framework suggested in ZOOKEEPER-1080
> Please refer to attached document.
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