title: why DataFrame still there in spark 2.2 also even DataSet gives more performance in scala?
body: <p>DataSet gives the best performance than dataframe. DataSet provide Encoders and type-safe but dataframe still in usage is there any particular scenario only dataframe is used in that scenario or is there any function which is working on dataframe and not working in dataset.</p>