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

["Amit Sela (JIRA)" <ji...@apache.org>]

Amit Sela created BEAM-198:
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             Summary: 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: Amit Sela


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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