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Posted to user@spark.apache.org by Akhil Das <ak...@sigmoidanalytics.com> on 2015/08/02 10:23:07 UTC

Re: Encryption on RDDs or in-memory/cache on Apache Spark

Currently RDDs are not encrypted, I think you can go ahead and open a JIRA
to add this feature and may be in future release it could be added.

Thanks
Best Regards

On Fri, Jul 31, 2015 at 1:47 PM, Matthew O'Reilly <mo...@qub.ac.uk>
wrote:

> Hi,
>
> I am currently working on the latest version of Apache Spark (1.4.1),
> pre-built package for Hadoop 2.6+.
>
> Is there any feature in Spark/Hadoop to encrypt RDDs or in-memory/cache
> (something similar is Altibase's HDB:
> http://altibase.com/in-memory-database-computing-solutions/security/)
> when running applications in Spark? Or is there an external
> library/framework which could be used to encrypt RDDs or in-memory/cache in
> Spark?
>
> I discovered it is possible to encrypt the data, and encapsulate it into
> RDD. However, I feel this affects Spark's fast data processing as it is
> slower to encrypt the data, and then encapsulate it to RDD; it's then a two
> step process. Encryption and storing data should be done parallel.
>
> Any help would be appreciated.
>
> Many thanks,
> Matthew
>
>
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