[jira] [Assigned] (BEAM-198) Spark runner batch translator to work with Datasets instead of RDDs

["Jean-Baptiste Onofré (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jean-Baptiste Onofré reassigned BEAM-198:
-----------------------------------------

    Assignee: Jean-Baptiste Onofré  (was: Amit Sela)

> Spark runner batch translator to work with Datasets instead of RDDs
> -------------------------------------------------------------------
>
>                 Key: BEAM-198
>                 URL: https://issues.apache.org/jira/browse/BEAM-198
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-spark
>            Reporter: Amit Sela
>            Assignee: Jean-Baptiste Onofré
>
> Currently, the Spark runner translates batch pipelines into RDD code, meaning it doesn't benefit from the optimizations DataFrames (which isn't type-safe) enjoys.
> With Datasets, batch pipelines will benefit the optimizations, adding to that that Datasets are type-safe and encoder-based they seem like a much better fit for the Beam model.
> Looking ahead, Datasets is a good choice since it's the basis for the future of Spark streaming as well  (Structured Streaming) so this will hopefully lay a solid foundation for a native integration between Spark 2.0 and Beam.



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