They both compile down to the same logical plans so the performance of running the query should be the same. The Scala DSL uses a lot of Scala magic and thus is experimental where as HiveQL is pretty set in stone.
On Tue, Nov 4, 2014 at 5:22 PM, SK <skrishna...@gmail.com> wrote: > SchemaRDD supports some of the SQL-like functionality like groupBy(), > distinct(), select(). However, SparkSQL also supports SQL statements which > provide this functionality. In terms of future support and performance, is > it better to use SQL statements or the SchemaRDD methods that provide > equivalent functionality? > > thanks > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Using-SQL-statements-vs-SchemaRDD-methods-tp18124.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
