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
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