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https://issues.apache.org/jira/browse/SPARK-5293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14334195#comment-14334195
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Marcelo Vanzin commented on SPARK-5293:
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I converted this bug to an umbrella so that it's easier to track sub-tasks.
Hope that's ok for everybody.
> Enable Spark user applications to use different versions of Akka
> ----------------------------------------------------------------
>
> Key: SPARK-5293
> URL: https://issues.apache.org/jira/browse/SPARK-5293
> Project: Spark
> Issue Type: Umbrella
> Components: Spark Core
> Affects Versions: 1.3.0
> Reporter: Reynold Xin
>
> A lot of Spark user applications are using (or want to use) Akka. Akka as a
> whole can contribute great architectural simplicity and uniformity. However,
> because Spark depends on Akka, it is not possible for users to rely on
> different versions, and we have received many requests in the past asking for
> help about this specific issue. For example, Spark Streaming might be used as
> the receiver of Akka messages - but our dependency on Akka requires the
> upstream Akka actors to also use the identical version of Akka.
> Since our usage of Akka is limited (mainly for RPC and single-threaded event
> loop), we can replace it with alternative RPC implementations and a common
> event loop in Spark.
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