windows 提交任务到spark集群中work节点报错

在windows 上idea 创建一个scala程序，代码：

object RemoteDebug {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("Spark Pi").setMaster("spark://192.168.2.153:7077")
    .setJars(List("F:\\devople\\ideaspace\\SparkRemoteDebug\\out\\artifacts\\SparkRemoteDebug_jar\\SparkRemoteDebug.jar"))
    .set("spark.executor.memory", "512m")

    val spark = new SparkContext(conf)
    val slices = if (args.length > 0) args(0).toInt else 2
    val n = 1000 * slices
    val count = spark.parallelize(1 to n,3).map { i =>
      val x = random * 2 - 1
      val y = random * 2 - 1
      if (x * x + y * y < 1) 1 else 0
    }.reduce(_ + _)
    println("Pi is roughly " + 4.0 * count / n)
    spark.stop()
  }
}

在idea中运行，早spark ui中点击运行的Application，可以看到节点的状态有exited，running，点击一个exited 节点的stderr
显示下面的错误：