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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] [Assigned] (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:all-tabpanel ]

Apache Spark reassigned SPARK-12635:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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