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Posted to issues@spark.apache.org by "Rob Keevil (JIRA)" <ji...@apache.org> on 2018/01/30 12:51:00 UTC
[jira] [Updated] (SPARK-23257) Implement Kerberos Support in
Kubernetes resource manager
[ https://issues.apache.org/jira/browse/SPARK-23257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rob Keevil updated SPARK-23257:
-------------------------------
Description:
On the forked k8s branch of Spark at [https://github.com/apache-spark-on-k8s/spark/pull/540] , Kerberos support has been added to the Kubernetes resource manager. The Kubernetes code between these two repositories appears to have diverged, so this commit cannot be merged in easily. Are there any plans to re-implement this work on the main Spark repository?
[ifilonenko|https://github.com/ifilonenko] [~liyinan926] I am happy to help with the development and testing of this, but i wanted to confirm that this isn't already in progress - I could not find any discussion about this specific topic online.
was:On the forked k8s branch of Spark at [https://github.com/apache-spark-on-k8s/spark/pull/540] , Kerberos support has been added to the Kubernetes resource manager. The Kubernetes code between these two repositories appears to have diverged, so this commit cannot be merged in simply. Are there any plans to re-implement this work on the main Spark repository? [ifilonenko|https://github.com/ifilonenko] I could not find any discussion about this specific topic online.
> Implement Kerberos Support in Kubernetes resource manager
> ---------------------------------------------------------
>
> Key: SPARK-23257
> URL: https://issues.apache.org/jira/browse/SPARK-23257
> Project: Spark
> Issue Type: Wish
> Components: Kubernetes
> Affects Versions: 2.3.0
> Reporter: Rob Keevil
> Priority: Major
>
> On the forked k8s branch of Spark at [https://github.com/apache-spark-on-k8s/spark/pull/540] , Kerberos support has been added to the Kubernetes resource manager. The Kubernetes code between these two repositories appears to have diverged, so this commit cannot be merged in easily. Are there any plans to re-implement this work on the main Spark repository?
>
> [ifilonenko|https://github.com/ifilonenko] [~liyinan926] I am happy to help with the development and testing of this, but i wanted to confirm that this isn't already in progress - I could not find any discussion about this specific topic online.
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