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https://issues.apache.org/jira/browse/SPARK-7504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14537369#comment-14537369
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Zoltán Zvara commented on SPARK-7504:
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{{SparkContext}} can be easily configured to operate on local mode without any
additional manual change, and can run in {{yarn-client}} mode directly from
IntelliJ {{java}}, just needs an additional {{datanucleus-*}} dependency to
class-path and a JAR to be set.
As far as I see this problem: if I buy a washing machine, configure it at home
and if it blows up with {{ERROR}} on the display, well, I would return it ASAP.
But if it tells me {{The configured mode is not supported!}}, I wouldn't think
the object is malfunctioning.
I'm pleased that you think this could be improved.
> NullPointerException when initializing SparkContext in YARN-cluster mode
> ------------------------------------------------------------------------
>
> Key: SPARK-7504
> URL: https://issues.apache.org/jira/browse/SPARK-7504
> Project: Spark
> Issue Type: Bug
> Components: Deploy, YARN
> Reporter: Zoltán Zvara
> Labels: deployment, yarn, yarn-client
>
> It is not clear for most users that, while running Spark on YARN a
> {{SparkContext}} with a given execution plan can be run locally as
> {{yarn-client}}, but can not deploy itself to the cluster. This is currently
> performed using {{org.apache.spark.deploy.yarn.Client}}. {color:gray} I think
> we should support deployment through {{SparkContext}}, but this is not the
> point I wish to make here. {color}
> Configuring a {{SparkContext}} to deploy itself currently will yield an
> {{ERROR}} while accessing {{spark.yarn.app.id}} in
> {{YarnClusterSchedulerBackend}}, and after that a {{NullPointerException}}
> while referencing the {{ApplicationMaster}} instance.
> Spark should clearly inform the user that it might be running in
> {{yarn-cluster}} mode without a proper submission using {{Client}} and that
> deploying is not supported directly from {{SparkContext}}.
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