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https://issues.apache.org/jira/browse/SPARK-3215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14112769#comment-14112769
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Reynold Xin commented on SPARK-3215:
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I looked at the document. The high level proposal looks good. Can you update
the document to include more details? In particular, a few things that are
important to define are:
1. Interface for "Future"
2. Full interface for RemoteClient, including how to initialize it for
different cluster mgr backends, how to add application jars
3. The RPC protocol between client/server: transport protocol, frameworks to
use, version compatibility, etc
4. Project organization: should this module be in core, or should we create a
new module in Spark (e.g. SparkContextClient module?)
> 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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