So let us say I have RDDs A and B with the following values. A = [ (1, 2), (2, 4), (3, 6) ]
B = [ (1, 3), (2, 5), (3, 6), (4, 5), (5, 6) ] I want to apply an inner join, such that I get the following as a result. C = [ (1, (2, 3)), (2, (4, 5)), (3, (6,6)) ] That is, those keys which are not present in A should disappear after the left inner join. How can I achieve that? I can see outerJoin functions but no innerJoin functions in the Spark RDD class.
