1) I have a csv file where one of the field has integer data but it appears as strings: "1", "3" etc. I tried using toInt to implcitly convert the strings to int after reading (field(3).toInt). But I got a NumberFormatException. So I defined my own conversion as follows, but I still get a NumberFormatException - the toInt function on StringOps is failing. Any idea, how I can convert strings to int?
implicit def string2Int(s: String): Int = augmentString(s).toInt def getInt(k: Int) = k def main(args: Array[String]) { val n: Int = f("6") } 2) How do we drop the headers when reading csv files? Is there a csv file format with skipHeaders option (as in scalding) in spark? thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/string-to-int-conversion-tp5261.html Sent from the Apache Spark User List mailing list archive at Nabble.com.