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From "Nan Zhu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-5293) Enable Spark user applications to use different versions of Akka
Date Fri, 23 Jan 2015 13:51:35 GMT

    [ https://issues.apache.org/jira/browse/SPARK-5293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14289258#comment-14289258
] 

Nan Zhu commented on SPARK-5293:
--------------------------------

shall we make this JIRA as an umbrella task, so that the other JIRAs like SPARK-5214 can be
associated to here?

> 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: Improvement
>          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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