I generally recommend people use the HQL dialect provided by the HiveContext when possible: http://spark.apache.org/docs/latest/sql-programming-guide.html#getting-started
I'll also note that this is distinct from the Hive on Spark project, which is based on the Hive query optimizer / execution engine instead of the catalyst optimizer that is shipped with Spark. On Thu, Jan 22, 2015 at 3:12 AM, Niranda Perera <niranda.per...@gmail.com> wrote: > Hi, > > would like to know if there is an update on this? > > rgds > > On Mon, Jan 12, 2015 at 10:44 AM, Niranda Perera <niranda.per...@gmail.com > > wrote: > >> Hi, >> >> I found out that SparkSQL supports only a relatively small subset of SQL >> dialect currently. >> >> I would like to know the roadmap for the coming releases. >> >> And, are you focusing more on popularizing the 'Hive on Spark' SQL >> dialect or the Spark SQL dialect? >> >> Rgds >> -- >> Niranda >> > > > > -- > Niranda >
