In the old Spark RDD API, key-value PairRDDs can be co-partitioned to avoid
shuffle thus bringing us high join performance.
In the new Dataset API in Spark 2.0, is the high performance shuffle-free
join by co-partition mechanism still feasible? I have looked through the
API doc but failed. Will the Catalyst Optimizer handle the co-partition in
its query plan optimization process?
Thanks a lot if anyone can provide any clue on the problem :-)
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