Problem solved. A simple join will do the work val prefix = new PairRDDFunctions[Int, Set[Int]](sc.parallelize(List((9, Set(4)), (1,Set(3)), (2,Set(5)), (2,Set(4)))))
val suffix = sc.parallelize(List((1, Set(1)), (2, Set(6)), (2, Set(5)), (2, Set(7)))) prefix.join(suffix).collect().foreach(println) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/New-combination-like-RDD-based-on-two-RDDs-tp21508p21511.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
