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https://issues.apache.org/jira/browse/SPARK-12453?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15067115#comment-15067115
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Sean Owen commented on SPARK-12453:
-----------------------------------

OK, I see what happened here: 
https://github.com/apache/spark/commit/87f82a5fb9c4350a97c761411069245f07aad46f

How about updating to 1.9.40 for consistency? really, it sounds like there's no 
point manually setting the SDK version here -- how about preemptively bringing 
those parts of SPARK-12269 back? 

Then really it should go into master first, and be backported, and then further 
updated by 12269. This is why I view it as sort of a duplicate, since it could 
as well come from back-porting just a subset of 12269.

I don't know if a new 1.5.x release will happen.

> Spark Streaming Kinesis Example broken due to wrong AWS Java SDK version
> ------------------------------------------------------------------------
>
>                 Key: SPARK-12453
>                 URL: https://issues.apache.org/jira/browse/SPARK-12453
>             Project: Spark
>          Issue Type: Bug
>          Components: Streaming
>    Affects Versions: 1.5.2
>            Reporter: Martin Schade
>            Priority: Critical
>              Labels: easyfix
>
> The Spark Streaming Kinesis Example (kinesis-asl) is broken due to wrong AWS 
> Java SDK version (1.9.16) referenced with the AWS KCL version (1.3.0).
> AWS KCL 1.3.0 references AWS Java SDK version 1.9.37.
> Using 1.9.16 in combination with 1.3.0 does fail to get data out of the 
> stream.
> I tested Spark Streaming with 1.9.37 and it works fine. 
> Testing a simple KCL client outside of Spark with 1.3.0 and 1.9.16 also 
> fails, so it is due to the specific versions used in 1.5.2 and not a Spark 
> related implementation.



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