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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/07/25 07:45:04 UTC
[jira] [Updated] (SPARK-5293) Enable Spark user applications to use
different versions of Akka
[ https://issues.apache.org/jira/browse/SPARK-5293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin updated SPARK-5293:
-------------------------------
Target Version/s: 1.6.0 (was: )
> 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
> Assignee: Shixiong Zhu
>
> 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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