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https://issues.apache.org/jira/browse/MAPREDUCE-6066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14909499#comment-14909499
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Neil Jonkers commented on MAPREDUCE-6066:
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We also see this with Hadoop 2.6.0 using Capacity scheduler:
>From job conf:
yarn.resourcemanager.scheduler.class =
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler
Relevant section from the AM logs:
2015-09-10 05:02:23,102 INFO [AsyncDispatcher event handler]
org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: TaskAttempt:
[attempt_1441860050089_0008_m_000450_0] using containerId:
[container_1441860050089_0008_01_000452 on NM:
[ip-172-31-8-34.ec2.internal:8041]
2015-09-10 05:02:23,103 INFO [AsyncDispatcher event handler]
org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl:
attempt_1441860050089_0008_m_000450_0 TaskAttempt Transitioned from ASSIGNED to
RUNNING
2015-09-10 05:09:10,080 INFO [AsyncDispatcher event handler]
org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: TaskAttempt:
[attempt_1441860050089_0008_m_000450_1] using containerId:
[container_1441860050089_0008_01_000558 on NM:
[ip-172-31-8-34.ec2.internal:8041]
2015-09-10 05:09:10,080 INFO [AsyncDispatcher event handler]
org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl:
attempt_1441860050089_0008_m_000450_1 TaskAttempt Transitioned from ASSIGNED to
RUNNING
2015-09-10 05:09:10,080 INFO [AsyncDispatcher event handler]
org.apache.hadoop.mapreduce.v2.app.speculate.DefaultSpeculator: ATTEMPT_START
task_1441860050089_0008_m_000450
> Speculative attempts should not run on the same node as their original attempt
> ------------------------------------------------------------------------------
>
> Key: MAPREDUCE-6066
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6066
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster, scheduler
> Affects Versions: 2.5.0
> Reporter: Todd Lipcon
> Attachments: conf.xml
>
>
> I'm seeing a behavior on trunk with fair scheduler enabled where a
> speculative reduce attempt is getting run on the same node as its original
> attempt. This doesn't make sense -- the main reason for speculative execution
> is to deal with a slow node, so scheduling a second attempt on the same node
> would just make the problem worse if anything.
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