You can do a join or a union to combine all the dataframes to one fat dataframe
or do a select on the columns you want to produce your transformed dataframe Not sure if I understand the question though, If the goal is just an end state transformed dataframe that can easily be done Regards Sam On Wed, Feb 15, 2017 at 6:34 PM, Gaurav Agarwal <gaurav130...@gmail.com> wrote: > Hello > > We want to enrich our spark RDD loaded with multiple Columns and multiple > Rows . This need to be enriched with 3 different tables that i loaded 3 > different spark dataframe . Can we write some logic in spark so i can > enrich my spark RDD with different stattic tables. > > Thanks > >
