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https://issues.apache.org/jira/browse/SPARK-33761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-33761:
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Priority: Major (was: Critical)
> [k8s] Support fetching driver and executor pod templates from HCFS
> ------------------------------------------------------------------
>
> Key: SPARK-33761
> URL: https://issues.apache.org/jira/browse/SPARK-33761
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
> Affects Versions: 3.0.1
> Reporter: Xuzhou Yin
> Priority: Major
>
> Currently Spark 3 on Kubernetes supports loading driver and executor pod
> templates from Local file system:
> [https://github.com/apache/spark/blob/master/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/KubernetesUtils.scala#L87.]
> However, this is not very convenient as user needs to either bake the pod
> templates into client pod image or manually mounting the file as configMap.
> It would be nice if Spark supports loading pod templates from Hadoop
> Compatible File Systems (such as S3A), so that user can directly update the
> pod template files in S3 without changing the underline Kubernetes job
> definition (eg. Updating Docker image or updating ConfigMap)
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