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Helena Edelson commented on SPARK-2593: --------------------------------------- I should note that I'd be happy to do the changes. I am a committer to Akka Cluster. > Add ability to pass an existing Akka ActorSystem into Spark > ----------------------------------------------------------- > > Key: SPARK-2593 > URL: https://issues.apache.org/jira/browse/SPARK-2593 > Project: Spark > Issue Type: Brainstorming > Components: Spark Core > Reporter: Helena Edelson > > As a developer I want to pass an existing ActorSystem into StreamingContext > in load-time so that I do not have 2 actor systems running on a node. > This would mean having spark's actor system on its own named-dispatchers as > well as exposing the new private creation of its own actor system. > If it makes sense... > I would like to create an Akka Extension that wraps around Spark/Spark > Streaming and Cassandra. So the creation would simply be this for a user > val extension = SparkCassandra(system) > and using is as easy as: > import extension._ > spark. // do work or, > streaming. // do work > > and all config comes from reference.conf and user overrides of that. > The conf file would pick up settings from the deployed environment first, > then fallback to -D with a final fallback to configured settings. -- This message was sent by Atlassian JIRA (v6.2#6252)