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https://issues.apache.org/jira/browse/BEAM-198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15392346#comment-15392346
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Amit Sela commented on BEAM-198:
--------------------------------
See https://github.com/apache/incubator-beam/pull/495
Happy to get reviews/comments/testing/benchmarks. And of course you're most
welcomed to help with next steps - streaming "a la Beam" with Structured
Streaming.
We can chat about this in Beam's Slack channel.
> 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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