You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/01/17 03:36:35 UTC

[jira] [Created] (SPARK-5293) Enable Spark user applications to use different versions of Akka

Reynold Xin created SPARK-5293:
----------------------------------

             Summary: 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 unification. 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.

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.





--
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