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Konstantin Shaposhnikov commented on SPARK-7042: ------------------------------------------------ Yes, I've just tested it locally - 2.11 Spark build works with akka 2.3.11 > Spark version of akka-actor_2.11 is not compatible with the official > akka-actor_2.11 2.3.x > ------------------------------------------------------------------------------------------ > > Key: SPARK-7042 > URL: https://issues.apache.org/jira/browse/SPARK-7042 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 1.3.1 > Reporter: Konstantin Shaposhnikov > Assignee: Konstantin Shaposhnikov > Priority: Minor > Fix For: 1.5.0 > > > When connecting to a remote Spark cluster (that runs Spark branch-1.3 built > with Scala 2.11) from an application that uses akka 2.3.9 I get the following > error: > {noformat} > 2015-04-22 09:01:38,924 - [WARN] - [akka.remote.ReliableDeliverySupervisor] > [sparkDriver-akka.actor.default-dispatcher-5] - > Association with remote system [akka.tcp://sparkExecutor@server:59007] has > failed, address is now gated for [5000] ms. > Reason is: [akka.actor.Identify; local class incompatible: stream classdesc > serialVersionUID = -213377755528332889, local class serialVersionUID = 1]. > {noformat} > It looks like akka-actor_2.11 2.3.4-spark that is used by Spark has been > built using Scala compiler 2.11.0 that ignores SerialVersionUID annotations > (see https://issues.scala-lang.org/browse/SI-8549). > The following steps can resolve the issue: > - re-build the custom akka library that is used by Spark with the more recent > version of Scala compiler (e.g. 2.11.6) > - deploy a new version (e.g. 2.3.4.1-spark) to a maven repo > - update version of akka used by spark (master and 1.3 branch) > I would also suggest to upgrade to the latest version of akka 2.3.9 (or > 2.3.10 that should be released soon). -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org