Hi,
I have a Spark DataFrame object, which when trimmed, looks like,
From To Subject Message-ID
karen....@xyz.com ['vance.me...@enron.com', SEC Inquiry
<19952575.1075858>
'jeannie.mandel...@enron.com',
'mary.cl...@enron.com',
'sarah.pal...@enron.com']
elyn.hug...@xyz.com ['dennis.ve...@enron.com', Revised
documents <33499184.1075858>
'gina.tay...@enron.com',
'kelly.kimbe...@enron.com']
.
.
.
I have run a groupBy("From") on the above dataFrame and obtained a
GroupedData object as a result. I need to apply a filter on the grouped
data (for instance, getting the sender who sent maximum number of the
mails that were addressed to a particular receiver in the "To" list).
Is there a way to accomplish this by applying filter on grouped data?
Thanks,
Megha
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org
