Hi, I was wondering what the "official" view is on feature parity between SQL and DF apis. Docs are pretty sparse on the SQL front, and it seems that some features are only supported at various times in only one of Spark SQL dialect, HiveQL dialect and DF API. DF.cube(), DISTRIBUTE BY, CACHE LAZY are some examples
Is there an explicit goal of having consistent support for all features in both DF and SQL ? Thanks, Cristian
