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https://issues.apache.org/jira/browse/SPARK-23790?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16414291#comment-16414291
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Stavros Kontopoulos commented on SPARK-23790:
---------------------------------------------

Yes that is what I am saying. The initial fix here: 
[https://github.com/apache/spark/pull/17333] does the trick but I want to have 
a similar approach with yarn that adds delegation tokens in current user's ugi. 
When I did that I hit the issue with HadoopRDD which fetches its delegation 
tokens on its own.

> proxy-user failed connecting to a kerberos configured metastore
> ---------------------------------------------------------------
>
>                 Key: SPARK-23790
>                 URL: https://issues.apache.org/jira/browse/SPARK-23790
>             Project: Spark
>          Issue Type: Bug
>          Components: Mesos
>    Affects Versions: 2.3.0
>            Reporter: Stavros Kontopoulos
>            Priority: Major
>
> This appeared at a customer trying to integrate with a kerberized hdfs 
> cluster.
> This can be easily fixed with the proposed fix 
> [here|https://github.com/apache/spark/pull/17333] and the problem was 
> reported first [here|https://issues.apache.org/jira/browse/SPARK-19995] for 
> yarn.
> The other option is to add the delegation tokens to the current user's UGI as 
> in [here|https://github.com/apache/spark/pull/17335] . The last fixes the 
> problem but leads to a failure when someones uses a HadoopRDD because the 
> latter, uses FileInputFormat to get the splits which calls the local ticket 
> cache by using TokenCache.obtainTokensForNamenodes. Eventually this will fail 
> with:
> {quote}Exception in thread "main" 
> org.apache.hadoop.ipc.RemoteException(java.io.IOException): Delegation Token 
> can be issued only with kerberos or web authenticationat 
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getDelegationToken(FSNamesystem.java:5896)
> {quote}
> This implies that security mode is SIMPLE and hadoop libs there are not aware 
> of kerberos.
> This is related to this issue the workaround decided was to 
> [trick|https://github.com/apache/spark/blob/a33655348c4066d9c1d8ad2055aadfbc892ba7fd/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala#L795-L804]
>  hadoop.
>  



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