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

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