HiveQL is the default language for the JDBC server which will be available as part of the 1.1 release (coming very soon!). Adding support for calling MLlib and other spark libraries is on the roadmap, but not possible at this moment.
On Tue, Sep 9, 2014 at 1:45 PM, XUE, Xiaohui <xiaohui....@sap.com> wrote: > > Hi, > > In Spark website, there’s a plan to support HiveQL on top of Spark SQL > and also to support JDBC/ODBC. > > I would like to know if in this “HiveQL” supported by Spark (or Spark > SQL accessible through JDBC/ODBC), is there a plan to add extensions to > leverage different Spark features like machine learning and stream? > I’m asking this as we’re considering using Spark from remote machine, so > this would be easier through JDBC/ODBC. But it’ll be good to also take > benefice of other Spark features than the ones exist in HiveQL. > > Thanks, > Xiaohui Xue >
