I think this is a popular issue, but need help figuring a way around if this issue is unresolved. I have a dataset that has more than 70 columns. To have all the columns fit into my RDD, I am experimenting the following. (I intend to use the InputData to parse the file and have 3 or 4 columnsets to accommodate the full list of variables)
case class ColumnSet(C1: Double , C2: Double , C3: Double) case class InputData(EQN: String, ts: String,Set1 :ColumnSet,Set2 :ColumnSet) val set1 = ColumnSet(1,2,3) val a = InputData("a","a",set1,set1) returns the following <console>:16: error: type mismatch; found : ColumnSet required: ColumnSet val a = InputData("a","a",set1,set1) Where as the same code works fine in my scala console. Is there a work around for my problem ? Regards Ram -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Nested-Case-Classes-Found-and-Required-Same-tp14096.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