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Posted to issues@spark.apache.org by "Stavros Kontopoulos (JIRA)" <ji...@apache.org> on 2018/05/14 12:38:00 UTC

[jira] [Commented] (SPARK-24122) Allow automatic driver restarts on K8s

    [ https://issues.apache.org/jira/browse/SPARK-24122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16474121#comment-16474121 ] 

Stavros Kontopoulos commented on SPARK-24122:
---------------------------------------------

Maybe this can be covered with Spark Operator and the --supervise flag. [~liyinan926] thoughts?

> Allow automatic driver restarts on K8s
> --------------------------------------
>
>                 Key: SPARK-24122
>                 URL: https://issues.apache.org/jira/browse/SPARK-24122
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes
>    Affects Versions: 2.3.0
>            Reporter: Oz Ben-Ami
>            Priority: Minor
>
> [~foxish]
> Right now SparkSubmit creates the driver as a bare pod, rather than a managed controller like a Deployment or a StatefulSet. This means there is no way to guarantee automatic restarts, eg in case a node has an issue. Note Pod RestartPolicy does not apply if a node fails. A StatefulSet would allow us to guarantee that, and keep the ability for executors to find the driver using DNS.
> This is particularly helpful for long-running streaming workloads, where we currently use {{yarn.resourcemanager.am.max-attempts}} with YARN. I can confirm that Spark Streaming and Structured Streaming applications can be made to recover from such a restart, with the help of checkpointing. The executors will have to be started again by the driver, but this should not be a problem.
> For batch processing, we could alternatively use Kubernetes {{Job}} objects, which restart pods on failure but not success. For example, note the semantics provided by the {{kubectl run}} [command|https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#run]
>  * {{--restart=Never}}: bare Pod
>  * {{--restart=Always}}: Deployment
>  * {{--restart=OnFailure}}: Job
> https://github.com/apache-spark-on-k8s/spark/issues/288



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