Here's my paraphrase: Datasets are really the new RDDs. They have a similar nature (container of strongly-typed objects) but bring some optimizations via Encoders for common types.
DataFrames are different from RDDs and Datasets and do not replace and are not replaced by them. They're fundamentally for tabular data, not arbitrary objects, and thus supports SQL-like operations that only make sense on tabular data. On Thu, Sep 1, 2016 at 3:17 PM, Ashok Kumar <ashok34...@yahoo.com.invalid> wrote: > Hi, > > What are practical differences between the new Data set in Spark 2 and the > existing DataFrame. > > Has Dataset replaced Data Frame and what advantages it has if I use Data > Frame instead of Data Frame. > > Thanks > > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
