如何使用scala将RDD[某个case类]转换为csv文件？

libraryDependencies += "com.databricks" %% "spark-csv" % "1.5.0"

import org.apache.spark.sql.{DataFrame, SQLContext}
import org.apache.spark.{SparkConf, SparkContext}

val conf = new SparkConf().setAppName("RDD to CSV").setMaster("local")
val sc = new SparkContext(conf)

val sqlContext = new SQLContext(sc)

case class MyData(id: Int, name: String, age: Int)

val data: RDD[MyData] = sc.parallelize(Seq(
  MyData(1, "John", 25),
  MyData(2, "Jane", 30),
  MyData(3, "Mike", 35)
))

import sqlContext.implicits._
val df: DataFrame = data.toDF()

df.write
  .format("com.databricks.spark.csv")
  .option("header", "true")
  .save("path/to/output.csv")