[jira] [Resolved] (SPARK-20153) Support Multiple aws credentials in order to access multiple Hive on S3 table in spark application

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-20153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-20153.
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    Resolution: Incomplete

> Support Multiple aws credentials in order to access multiple Hive on S3 table in spark application 
> ---------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-20153
>                 URL: https://issues.apache.org/jira/browse/SPARK-20153
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.0.1, 2.1.0
>            Reporter: Franck Tago
>            Priority: Minor
>              Labels: bulk-closed
>
> I need to access multiple hive tables in my spark application where each hive table is 
> 1- an external table with data sitting on S3
> 2- each table is own by a different AWS user so I need to provide different AWS credentials. 
> I am familiar with setting the aws credentials in the hadoop configuration object but that does not really help me because I can only set one pair of (fs.s3a.awsAccessKeyId , fs.s3a.awsSecretAccessKey )
> From my research , there is no easy or elegant way to do this in spark .
> Why is that ?  
> How do I address this use case?



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