Cartesian product of two RDD in Spark

Question

I am completely new to Apache Spark and I trying to Cartesian product two RDD. As an example I have A and B like :

A = {(a1,v1),(a2,v2),...}
B = {(b1,s1),(b2,s2),...}

I need a new RDD like:

C = {((a1,v1),(b1,s1)), ((a1,v1),(b2,s2)), ...}

Any idea how I can do this? As simple as possible :)

Thanks in advance

PS: I finally did it like this as suggested by @Amit Kumar:

cartesianProduct = A.cartesian(B)

Answer 1

That's not the dot product, that's the cartesian product. Use the cartesian method:

def cartesian[U](other: spark.api.java.JavaRDDLike[U, _]): JavaPairRDD[T, U]

Return the Cartesian product of this RDD and another one, that is, the RDD of all pairs of elements (a, b) where a is in this and b is in other.

Source

Answer 2

You can do it like the following:

A = {(a1,v1),(a2,v2),...}
B = {(b1,s1),(b2,s2),...}

C = A.cartesian(B)

And if you do:

C.take(5)

You can see that this is what you want.

Answer 3

Just in case if you are curious on how to do with multiple lists, here's an example in pyspark

>>> a = [1,2,3]
>>> b = [5,6,7,8]
>>> c = [11,22,33,44,55]
>>> import itertools
>>> abcCartesianRDD = sc.parallelize(itertools.product(a,b,c))
>>> abcCartesianRDD.count() #Test
    60