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 <gweid...@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
