problem19

Problem Scenario 59 : You have been given below code snippet.
val x = sc.parallelize(1 to 20)
val y = sc.parallelize(10 to 30) operationl
z.collect
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[lnt] = Array(16,12, 20,13,17,14,18,10,19,15,11)

scala> val x = sc.parallelize(1 to 20)
x: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[0] at parallelize at <console>:27

scala> val y = sc.parallelize(10 to 30)
y: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[1] at parallelize at <console>:27

scala> val z = x.intersection(y)
z: org.apache.spark.rdd.RDD[Int] = MapPartitionsRDD[7] at intersection at <console>:31

scala> z.collect()
res0: Array[Int] = Array(16, 14, 12, 18, 20, 10, 13, 19, 15, 11, 17)