rdd1.union(rdd2).groupByKey() On Thu, Nov 13, 2014 at 3:41 AM, Blind Faith <person.of.b...@gmail.com> wrote: > Let us say I have the following two RDDs, with the following key-pair > values. > > rdd1 = [ (key1, [value1, value2]), (key2, [value3, value4]) ] > > and > > rdd2 = [ (key1, [value5, value6]), (key2, [value7]) ] > > Now, I want to join them by key values, so for example I want to return the > following > > ret = [ (key1, [value1, value2, value5, value6]), (key2, [value3, > value4, value7]) ] > > How I can I do this, in spark using python or scala? One way is to use join, > but join would create a tuple inside the tuple. But I want to only have one > tuple per key value pair.
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