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https://issues.apache.org/jira/browse/SPARK-3215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14112855#comment-14112855
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Shivaram Venkataraman commented on SPARK-3215:
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This looks very interesting -- One thing that would be very useful is to make
the RPC interface language agnostic. This would make it possible to submit
Python or R jobs to a SparkContext without embedding a JVM in the driver
process. Could we use Thrift or Protocol Buffers or something like that ?
Also it'll be great to make a tentative list of RPCs that are required to get a
simple application to work.
> Add remote interface for SparkContext
> -------------------------------------
>
> Key: SPARK-3215
> URL: https://issues.apache.org/jira/browse/SPARK-3215
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Reporter: Marcelo Vanzin
> Labels: hive
> Attachments: RemoteSparkContext.pdf
>
>
> A quick description of the issue: as part of running Hive jobs on top of
> Spark, it's desirable to have a SparkContext that is running in the
> background and listening for job requests for a particular user session.
> Running multiple contexts in the same JVM is not a very good solution. Not
> only SparkContext currently has issues sharing the same JVM among multiple
> instances, but that turns the JVM running the contexts into a huge bottleneck
> in the system.
> So I'm proposing a solution where we have a SparkContext that is running in a
> separate process, and listening for requests from the client application via
> some RPC interface (most probably Akka).
> I'll attach a document shortly with the current proposal. Let's use this bug
> to discuss the proposal and any other suggestions.
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