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From "Franck Tago (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-20153) Support Multiple aws credentials in order to access multiple Hive on S3 table in spark application
Date Thu, 30 Mar 2017 05:54:41 GMT
Franck Tago created SPARK-20153:
-----------------------------------

             Summary: 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: Bug
          Components: Spark Core
    Affects Versions: 2.1.0, 2.0.1
            Reporter: Franck Tago


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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