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toDF is not a member of org.apache.spark.rdd.RDD

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Im working on a spark program which can load the data into a Hive table.

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.SaveMode
import org.apache.spark.sql._
import org.apache.spark.sql.DataFrame

object SparkToHive {
  case class partc(id:Int, name:String, salary:Int, dept:String, location:String)
  def main(args: Array[String]) {
    val warehouseLocation = "file:${system:user.dir}/spark-warehouse"
    val sparkSession = SparkSession.builder.master("local[2]").appName("Saving data into HiveTable using Spark")
                        .enableHiveSupport()
                        .config("hive.exec.dynamic.partition", "true")
                        .config("hive.exec.dynamic.partition.mode", "nonstrict")
                        .config("hive.metastore.warehouse.dir", "/user/hive/warehouse")
                        .getOrCreate()
    import sparkSession.implicits._
    val partfile = sparkSession.sparkContext.textFile("partfile")
    val partdata = partfile.map(part => part.split(","))
    val partRDD  = partdata.map(line => partc(line(0).toInt, line(1), line(2).toInt, line(3), line(4)))
    val partDF   = partRDD.toDF()
    partDF.write.mode(SaveMode.Append).insertInto("parttab")
  }
}


But I am getting error at this line:

val partDF   = partRDD.toDF()

saying:

value toDF is not a member of org.apache.spark.rdd.RDD[com.sparktohive.load.SparkToHive.partc]

Could anyone tell me how can I fix it ?

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