I'm in favor of moving to Spark 2.0 now, meaning that our upcoming release would include both
new features and 2.0 support. 0.10 has plenty of functionality for any existing 1.x users.
-Mike
--
Mike Dusenberry
GitHub: github.com/dusenberrymw
LinkedIn: linkedin.com/in/mikedusenberry
Sent from my iPhone.
> On Aug 2, 2016, at 11:44 AM, Glenn Weidner <gweidner@us.ibm.com> wrote:
>
>
>
> In the "[DISCUSS] SystemML 0.11 release" thread, native frame support and
> API updates such as new MLContext were identified as main new features for
> the release. In addition, support for Spark 2.0.0 was targeted.
> Note code changes required for Spark 2.0.0 are not backward compatible to
> earlier Spark versions (e.g., 1.6.2) so starting separate mail thread for
> anyone to raise objections/alternatives for migrating to Spark 2.0.0.
>
> One possible option is to do a release to include the new Apache SystemML
> features before migrating to Spark 2.0.0. However, it seems better to have
> the next Apache SystemML release compatible with latest Spark version
> 2.0.0. The Apache SystemML 0.10 release from June can be used with earlier
> versions of Spark.
>
> Regards,
> Glenn
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