Hello, I understand multiple aggregations over streaming dataframes is not currently supported in Spark 2.0. Is there a workaround? Out of the top of my head I could think of having a two stage approach: - first query writes output to disk/memory using "complete" mode - second query reads from this output
Does this makes sense? Furthermore, I would like to understand what are the technical hurdles that are preventing Spark SQL from implementing multiple aggregation right now? Thanks, -- Arnaud Bailly twitter: abailly skype: arnaud-bailly linkedin: http://fr.linkedin.com/in/arnaudbailly/
