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https://issues.apache.org/jira/browse/TINKERPOP-845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15187398#comment-15187398
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Marko A. Rodriguez commented on TINKERPOP-845:
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[~mbroecheler] Are we happy with my reply? {{SparkGraphComputer}} is smart
about caching and has configurations to allow the user to set the
{{StorageLevel}} for the various cached components. Finally, any Spark-specific
configurations can be set via {{GraphComputer.configure()}}. Is there anything
else we are missing? If not, please close this ticket.
> Spark Execution Options
> -----------------------
>
> Key: TINKERPOP-845
> URL: https://issues.apache.org/jira/browse/TINKERPOP-845
> Project: TinkerPop
> Issue Type: Improvement
> Components: hadoop
> Affects Versions: 3.0.2-incubating
> Reporter: Matthias Broecheler
>
> In Spark, the user has some control over how the Spark job should be
> executed. In particular, the user can control if certain RDDs should be
> cached. In SparkSQL this is exposed via custom SQLish commands to the user.
> We should investigate if something similar can be done in Gremlin to give the
> user more control over their job execution.
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