Also, check the column names of df1 ( after joining df2 and df3 ). Prasad.
From: Ted Yu Date: Monday, April 25, 2016 at 8:35 PM To: Divya Gehlot Cc: "user @spark" Subject: Re: Cant join same dataframe twice ? 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<mailto: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
