[jira] [Resolved] (SPARK-35334) Spark should be more resilient to intermittent K8s flakiness

["Attila Zsolt Piros (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-35334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Attila Zsolt Piros resolved SPARK-35334.
----------------------------------------
    Fix Version/s: 3.3.0
       Resolution: Fixed

Issue resolved by pull request 33261
[https://github.com/apache/spark/pull/33261]

> Spark should be more resilient to intermittent K8s flakiness
> ------------------------------------------------------------
>
>                 Key: SPARK-35334
>                 URL: https://issues.apache.org/jira/browse/SPARK-35334
>             Project: Spark
>          Issue Type: Bug
>          Components: Kubernetes
>    Affects Versions: 3.2.0
>            Reporter: Attila Zsolt Piros
>            Assignee: Attila Zsolt Piros
>            Priority: Major
>             Fix For: 3.3.0
>
>
> Internal K8s errors such as an etcdserver leader election is propagated to the API client and could cause serious issues in Spark, like:
> {noformat}
> Caused by: io.fabric8.kubernetes.client.KubernetesClientException: Failure executing: GET at:
> https://kubernetes.default.svc/api/v1/namespaces/dex-app-bl24w4z9/pods/sparkpi-10-fcd3f6781a874212-driver. Message: etcdserver: 
> leader changed. Received status: Status(apiVersion=v1, code=500, details=null, kind=Status, message=etcdserver: leader changed, 
> metadata=ListMeta(_continue=null, remainingItemCount=null, resourceVersion=null, selfLink=null, additionalProperties={}), reason=null, 
> status=Failure, additionalProperties={}).
> {noformat}
> First I try to fix in kubernetes-client by adding retries with exponential backoff:
> https://github.com/fabric8io/kubernetes-client/issues/3087
> If I manage it then this will could be just version update and introducing some new configs in Spark.



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