Question

我不想以编程方式运行Spark作业 - 直接从Idea（我的笔记本电脑）向远程集群提交SparkPi计算：

object SparkPi {

  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("Spark Pi")
      .setMaster("spark://host-name:7077")
    val spark = new SparkContext(conf)
    val slices = if (args.length > 0) args(0).toInt else 2
    val n = 100000 * slices
    val count = spark.parallelize(1 to n, slices).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()
  }

}

然而，当我运行它时，我发现以下错误：

14/12/08 11:31:20 ERROR security.UserGroupInformation: PriviledgedActionException as:remeniuk (auth:SIMPLE) cause:java.util.concurrent.TimeoutException: Futures timed out after [30 seconds]
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException: Unknown exception in doAs
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1421)
    at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:52)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:113)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:156)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: java.security.PrivilegedActionException: java.util.concurrent.TimeoutException: Futures timed out after [30 seconds]
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:415)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
    ... 4 more

当我从笔记本电脑上使用spark-submit运行相同的脚本时，我看到同样的错误。

只有当我将jar上传到远程集群（主机正在运行的机器）时，作业才能成功完成：

./bin/spark-submit --master spark://host-name:7077 --class com.viaden.crm.spark.experiments.SparkPi ../spark-experiments_2.10-0.1-SNAPSHOT.jar

Answer 1

根据异常堆栈，它应该是您的本地防火墙问题。

请参考这个类似的案例 Intermittent Timeout Exception using Spark

如何以编程方式运行Spark作业

1 个答案: