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https://issues.apache.org/jira/browse/SPARK-2593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Helena Edelson updated SPARK-2593:
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Issue Type: Improvement (was: Brainstorming)
> 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: Improvement
> 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.
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