[
https://issues.apache.org/jira/browse/SPARK-12635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15090461#comment-15090461
]
Shivaram Venkataraman commented on SPARK-12635:
-----------------------------------------------
cc [~sunrui] who is working on the SparkR UDF support
> 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
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
