As far as I am aware in newer Spark versions a DataFrame is the same as Dataset[Row]. In fact, performance depends on so many factors, so I am not sure such a comparison makes sense.
> On 8. Apr 2017, at 20:15, Shiyuan <gshy2...@gmail.com> wrote: > > Hi Spark-users, > I came across a few sources which mentioned DataFrame can be more > efficient than Dataset. I can understand this is true because Dataset allows > functional transformation which Catalyst cannot look into and hence cannot > optimize well. But can DataFrame be more efficient than Dataset even if we > only use the relational transformation on dataset? If so, can anyone give > some explanation why it is so? Any benchmark comparing dataset vs. > dataframe? Thank you! > > Shiyuan --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
