I don’t think so. For example, we’ve already added extended syntax like CACHE TABLE.
On Wed, Sep 24, 2014 at 3:27 PM, Yi Tian <tianyi.asiai...@gmail.com> wrote: > Hi Reynold! > > Will sparkSQL strictly obey the HQL syntax ? > > For example, the cube function. > > In other words, the hiveContext of sparkSQL should only implement the > subset of HQL features? > > > Best Regards, > > Yi Tian > tianyi.asiai...@gmail.com > > > > > On Sep 23, 2014, at 15:49, Reynold Xin <r...@databricks.com> wrote: > > > > > On Tue, Sep 23, 2014 at 12:47 AM, Yi Tian <tianyi.asiai...@gmail.com> > wrote: > > Hi all, > > > > I have some questions about the SparkSQL and Hive-on-Spark > > > > Will SparkSQL support all the hive feature in the future? or just making > hive as a datasource of Spark? > > > > Most likely not *ALL* Hive features, but almost all common features. > > > > > > From Spark 1.1.0 , we have thrift-server support running hql on spark. > Will this feature be replaced by Hive on Spark? > > > > No. > > > > > > The reason for asking these questions is that we found some hive > functions are not running well on SparkSQL ( like window function, cube > and rollup function) > > > > Is it worth for making effort on implement these functions with > SparkSQL? Could you guys give some advices ? > > > > Yes absolutely. > > > > > > thank you. > > > > > > Best Regards, > > > > Yi Tian > > tianyi.asiai...@gmail.com > > > > > > > > > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > > For additional commands, e-mail: dev-h...@spark.apache.org > > > > > >
