Try Success failure on RDD operation

import scala.util.{Failure, Success, Try}
import org.apache.spark.sql.Row
     
     
      val rdd= spark.sparkContext.parallelize(Seq(("Java", 20000), ("Python", 100000), ("Scala", 3000)))

        val goodBadRecords = rdd.map(line =>
          Try{
            print(line)
         
          } match {
            case Success(map) => Right(map)
            case Failure(e) => Left(e)
          }

        )

        val records = goodBadRecords.filter(_.isRight)
        val errors = goodBadRecords.filter(_.isLeft)
       
       
        records.count()
        errors.count()