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Posted to issues@spark.apache.org by "Yinan Li (JIRA)" <ji...@apache.org> on 2018/09/24 05:52:00 UTC

[jira] [Comment Edited] (SPARK-25500) Specify configmap and secrets in Spark driver and executor pods in Kubernetes

    [ https://issues.apache.org/jira/browse/SPARK-25500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16625404#comment-16625404 ] 

Yinan Li edited comment on SPARK-25500 at 9/24/18 5:51 AM:
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We don't plan to add more configuration properties for pod customization as we move to a pod template model. See https://issues.apache.org/jira/browse/SPARK-24434. It supports all use cases you mentioned above. BTW: we already have {{spark.kubernetes.[driver|executor].secrets.[SecretName]=[MountPath]}} since Spark 2.3.


was (Author: liyinan926):
We don't plan to add more configuration properties for pod customization as we move to a pod template model. See https://issues.apache.org/jira/browse/SPARK-24434. It supports all use cases you mentioned above. BTW: we already have {{spark.kubernetes.\{driver|executor}.secrets.[SecretName]=[MountPath] }}since Spark 2.3{{.}}

> Specify configmap and secrets in Spark driver and executor pods in Kubernetes
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-25500
>                 URL: https://issues.apache.org/jira/browse/SPARK-25500
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes
>    Affects Versions: 2.3.1
>            Reporter: Abhishek Rao
>            Priority: Minor
>
> This uses SPARK-23529. Support for specifying configmap and secrets as spark-configuration is requested.
> Using PR #22146, the above functionality can be achieved by passing template file. However, for spark properties (like log4j.properties, fairscheduler.xml and metrics.properties), we are proposing this approach as this is native to other configuration options specifications in spark.
> The configmaps and secrets have to be pre-created before using this as spark configuration.



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