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https://issues.apache.org/jira/browse/SPARK-12635?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-12635:
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Labels: bulk-closed (was: )
> More efficient (column batch) serialization for Python/R
> --------------------------------------------------------
>
> Key: SPARK-12635
> URL: https://issues.apache.org/jira/browse/SPARK-12635
> Project: Spark
> Issue Type: New Feature
> Components: PySpark, SparkR, SQL
> Reporter: Reynold Xin
> Priority: Major
> Labels: bulk-closed
>
> Serialization between Scala / Python / R is pretty slow. Python and R both
> work pretty well with column batch interface (e.g. numpy arrays). Technically
> we should be able to just pass column batches around with minimal
> serialization (maybe even zero copy memory).
> Note that this depends on some internal refactoring to use a column batch
> interface in Spark SQL.
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