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

["Kun Liu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16211183#comment-16211183 ] 

Kun Liu commented on SPARK-20153:
---------------------------------

Steve: AFAIK, "Amazon EMR does not currently support use of the Apache Hadoop S3A file system."
https://aws.amazon.com/premiumsupport/knowledge-center/emr-file-system-s3/ 

> 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
>
> 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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