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https://issues.apache.org/jira/browse/SPARK-34674?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17303313#comment-17303313
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Sergey commented on SPARK-34674:
--------------------------------
Sorry, I didn't search sufficiently for existing issues.
There is already the issue https://issues.apache.org/jira/browse/SPARK-27812,
and it is marked as Fixed.
But it looks like, I have this bug in Spark 3.1.1.
I just start an spark app on Amazon EKS (Kubernetes version - 1.17) by
_spark-on-k8s-operator: v1beta2-1.2.0-3.0.0_
[(https://github.com/GoogleCloudPlatform/spark-on-k8s-operator)|https://github.com/GoogleCloudPlatform/spark-on-k8s-operator]
Spark docker image is built from the official release of spark-3.1.1 hadoop3.2.
> Spark app on k8s doesn't terminate without call to sparkContext.stop() method
> -----------------------------------------------------------------------------
>
> Key: SPARK-34674
> URL: https://issues.apache.org/jira/browse/SPARK-34674
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 3.1.1
> Reporter: Sergey
> Priority: Major
>
> Hello!
> I have run into a problem that if I don't call the method
> sparkContext.stop() explicitly, then a Spark driver process doesn't terminate
> even after its Main method has been completed. This behaviour is different
> from spark on yarn, where the manual sparkContext stopping is not required.
> It looks like, the problem is in using non-daemon threads, which prevent the
> driver jvm process from terminating.
> At least I see two non-daemon threads, if I don't call sparkContext.stop():
> {code:java}
> Thread[OkHttp kubernetes.default.svc,5,main]
> Thread[OkHttp kubernetes.default.svc Writer,5,main]
> {code}
> Could you tell please, if it is possible to solve this problem?
> Docker image from the official release of spark-3.1.1 hadoop3.2 is used.
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