Simple join would do it.
val a: List[(Int, Int)] = List((1,2),(2,4),(3,6))
val b: List[(Int, Int)] = List((1,3),(2,5),(3,6), (4,5),(5,6))
val A = sparkContext.parallelize(a)
val B = sparkContext.parallelize(b)
val ac = new PairRDDFunctions[Int, Int](A)
*val C = ac.join(B
Just RDD.join() should be an inner join.
On Mon, Nov 17, 2014 at 5:51 PM, Blind Faith wrote:
> 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
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 pr
