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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/01/07 05:54:40 UTC
[jira] [Commented] (SPARK-12635) More efficient (column batch)
serialization for Python/R
[ https://issues.apache.org/jira/browse/SPARK-12635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15086800#comment-15086800 ]
Apache Spark commented on SPARK-12635:
--------------------------------------
User 'nongli' has created a pull request for this issue:
https://github.com/apache/spark/pull/10628
> 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.
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