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https://issues.apache.org/jira/browse/SPARK-19190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-19190:
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    Priority: Minor  (was: Major)

> Optimize CartesianRDD to avoid partition re-computation and re-serialization
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-19190
>                 URL: https://issues.apache.org/jira/browse/SPARK-19190
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.1.0
>            Reporter: Weichen Xu
>            Priority: Minor
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> Current CartesianRDD implementation, suppose RDDA cartisian RDDB, generating 
> RDDC,
> each RDDA partition will be reading by multiple RDDC partition, and RDDB has 
> similar problem.
> This will cause, when RDDC partition computing, each partition's data in RDDA 
> or RDDB will be repeatedly serialized (then transfer through network), if 
> RDDA or RDDB haven't been persist, it will cause RDD recomputation repeatedly.



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