Currently the SQL dialect provided by Spark SQL only support a set of most frequently used structures and doesn't support DDL and DML operations. In the long run, we'd like to replace it with a full featured SQL-92 implementation.
On Sat, Aug 9, 2014 at 8:11 AM, Sathish Kumaran Vairavelu < vsathishkuma...@gmail.com> wrote: > Hi, > > Can you anyone point me where to find the sql dialect for Spark SQL? > Unlike HQL, there are lot of tasks involved in creating and querying tables > which is very cumbersome one. If we have to fire multiple queries on 10's > and 100's of tables then it is very difficult at this point. Given Spark > SQL will replace shark if we have nice way to handle DDL and DML > operations, that would be awesome. We shall use it for ETL and BI querying > in a seamless fashion. > > Can anyone please help me with this? > > > Thanks > > Sathish >
