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https://issues.apache.org/jira/browse/SPARK-14209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15214595#comment-15214595
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Miles Crawford commented on SPARK-14209:
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I am using an external shuffle service, as I mentioned in the description. I
can see ESTABLISHED TCP connections between it and the executors, and the
process is active.
Is there some other way I can verify that it is being used as it is configured?
> Application failure during preemption.
> --------------------------------------
>
> Key: SPARK-14209
> URL: https://issues.apache.org/jira/browse/SPARK-14209
> Project: Spark
> Issue Type: Bug
> Components: Block Manager
> Affects Versions: 1.6.1
> Environment: Spark on YARN
> Reporter: Miles Crawford
>
> We have a fair-sharing cluster set up, including the external shuffle
> service. When a new job arrives, existing jobs are successfully preempted
> down to fit.
> A spate of these messages arrives:
> ExecutorLostFailure (executor 48 exited unrelated to the running tasks)
> Reason: Container container_1458935819920_0019_01_000143 on host:
> ip-10-12-46-235.us-west-2.compute.internal was preempted.
> This seems fine - the problem is that soon thereafter, our whole application
> fails because it is unable to fetch blocks from the pre-empted containers:
> org.apache.spark.storage.BlockFetchException: Failed to fetch block from 1
> locations. Most recent failure cause:
> Caused by: java.io.IOException: Failed to connect to
> ip-10-12-46-235.us-west-2.compute.internal/10.12.46.235:55681
> Caused by: java.net.ConnectException: Connection refused:
> ip-10-12-46-235.us-west-2.compute.internal/10.12.46.235:55681
> Full stack: https://gist.github.com/milescrawford/33a1c1e61d88cc8c6daf
> Spark does not attempt to recreate these blocks - the tasks simply fail over
> and over until the maxTaskAttempts value is reached.
> It appears to me that there is some fault in the way preempted containers are
> being handled - shouldn't these blocks be recreated on demand?
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