[jira] [Resolved] (SPARK-9501) Encryption on RDDs or in-memory/cache on Apache Spark

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-9501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-9501.
------------------------------
    Resolution: Invalid

Please ask questions at user@spark.apache.org
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark

> Encryption on RDDs or in-memory/cache on Apache Spark
> -----------------------------------------------------
>
>                 Key: SPARK-9501
>                 URL: https://issues.apache.org/jira/browse/SPARK-9501
>             Project: Spark
>          Issue Type: Question
>          Components: Java API, Spark Core, Spark Shell, Spark Submit, Windows
>            Reporter: Matthew O'Reilly
>            Priority: Trivial
>
> 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 (similarly to 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. Encryption and storing data should be done parallel.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org