Can you show us the structure of df2 and df3 ? Thanks
On Mon, Apr 25, 2016 at 8:23 PM, Divya Gehlot <divya.htco...@gmail.com> wrote: > Hi, > I am using Spark 1.5.2 . > I have a use case where I need to join the same dataframe twice on two > different columns. > I am getting error missing Columns > > For instance , > val df1 = df2.join(df3,"Column1") > Below throwing error missing columns > val df 4 = df1.join(df3,"Column2") > > Is the bug or valid scenario ? > > > > > Thanks, > Divya >
