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https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19189:
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Assignee: (was: Apache Spark)
> Optimize CartesianRDD to avoid parent RDD partition re-computation and
> re-serialization
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-19189
> URL: https://issues.apache.org/jira/browse/SPARK-19189
> 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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