distributing large matrices

Is this the sort of problem spark can accommodate? I need to compare 10,000 matrices with each other (10^10 comparison). The matrices are 100x10 (10^7 int values). I have 10 machines with 2 to 8 cores (8-32 processors). All machines have to - contribute to matrices generation (a

Re: group by order by fails

String query = select s.name, count(s.name) as tally from sample s group by s.name order by tally; -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/group-by-order-by-fails-tp21815p21854.html Sent from the Apache Spark User List mailing list archive at