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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-23980) Resilient Spark driver on Kubernetes
Date Fri, 13 Apr 2018 14:23:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-23980:
------------------------------------

    Assignee:     (was: Apache Spark)

> Resilient Spark driver on Kubernetes
> ------------------------------------
>
>                 Key: SPARK-23980
>                 URL: https://issues.apache.org/jira/browse/SPARK-23980
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.3.0
>            Reporter: Sebastian Toader
>            Priority: Major
>
> The current implementation of `Spark driver` on Kubernetes is not resilient to node failures
as it’s implemented as a `Pod`. In case of a node failure Kubernetes terminates the pods
that were running on that node. Kubernetes doesn't reschedule these pods to any of the other
nodes of the cluster.
> If the `driver` is implemented as Kubernetes [Job|https://kubernetes.io/docs/concepts/workloads/controllers/jobs-run-to-completion/]
than it will be rescheduled to other node.
> When the driver is terminated its executors (that may run on other nodes) are terminated
by Kubernetes with some delay by [Kubernetes Garbage collection|https://kubernetes.io/docs/concepts/workloads/controllers/garbage-collection/].
> This can lead to concurrency issues where the re-spawned `driver` was trying to create
new executors with same name as the executors being in the middle of being cleaned up by Kubernetes
garbage collection.
> To solve this issue the executor name must be made unique for each `driver` *instance*.
> The PR linked to this lira is an implementation of the above that creates spark driver
as a Job and ensures that executor pod names are unique per driver instance.



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