Thank you! Yes that's the way to go taking care of selecting them in the proper order first. Added a select before the toDF and it does the trick.
From: Sunitha Kambhampati [mailto:skambha...@gmail.com] Sent: Friday, March 18, 2016 5:46 PM To: Fernandez, Andres Cc: user@spark.apache.org Subject: Re: Rename Several Aggregated Columns One way is to rename the columns using the toDF For eg: val df = Seq((1, 2),(1,4),(2,3) ).toDF("a","b") df.printSchema() val renamedf = df.groupBy('a).agg(sum('b)).toDF("mycola", "mycolb") renamedf.printSchema() Best regards, Sunitha On Mar 18, 2016, at 9:10 AM, andres.fernan...@wellsfargo.com<mailto:andres.fernan...@wellsfargo.com> wrote: Good morning. I have a dataframe and would like to group by on two fields, and perform a sum aggregation on more than 500 fields, though I would like to keep the same name for the 500 hundred fields (instead of sum(Field)). I do have the field names in an array. Could anybody help with this question please?
