Convert a List[List[String]] into RDD[(String)]

Question
1

Hi all,
I’ve thi kind of result type:
List[List[String]]

List(d8ff, e0ff, 1000, 464a, 4649, 0100, 0101, 9000)

List(9000, 0000, dbff, 4300, 0500, 0403, 0404, 0503)
List(0404, 0504, 0505, 0706, 080c, 0707, 0707, 0b0f)
List(090b, 110c, 120f, 1112, 110f, 1311, 1c16, 1317)

It’s a list of lists. Can I convert it to an RDD[(String)]? I tried using

sc.parallelize(MyList.flatMap(item => (item)))

Thank you

2

Maybe I’m misunderstanding the question but this works in Spark 3.1.2 (Databricks Community Edition).

val nestedList = List(List("d8ff", "e0ff", "1000", "464a", "4649", "0100", "0101", "9000"),
List("9000", "0000", "dbff", "4300", "0500", "0403", "0404", "0503"),
List("0404", "0504", "0505", "0706", "080c", "0707", "0707", "0b0f"),
List("090b", "110c", "120f", "1112", "110f", "1311", "1c16", "1317"))

val rdd = sc.parallelize(nestedList.flatten)
println(rdd.count())