spark main thread quit, but the driver don't crash at standalone cluster

[John Fang]

My spark main thread create some daemon threads which maybe timer thread. Then 
the spark application throw some exceptions, and the main thread will quit. But 
the jvm of driver don't crash for standalone cluster. Of course the question 
don't happen at yarn cluster. Because the application master will monitor the 
main thread of applicaiton, but the stanalone cluster can't. for example:val 
sparkConf = new SparkConf().setAppName("NetworkWordCount")
sparkConf.set("spark.streaming.blockInterval", "1000ms")
val ssc = new StreamingContext(sparkConf, Seconds(10))

//daemon thread
val scheduledExecutorService = Executors.newSingleThreadScheduledExecutor(
  new ThreadFactory() {
    def newThread(r: Runnable): Thread = new Thread(r, "Driver-Commit-Thread")
  })

scheduledExecutorService.scheduleAtFixedRate(
  new Runnable() {
    def run() {
      try {
        System.out.println("runable")
      } catch {
        case e: Exception => {
          System.out.println("ScheduledTask persistAllConsumerOffset 
exception", e)
        }
      }
    }
  }, 1000, 1000 * 5, TimeUnit.MILLISECONDS)

Thread.sleep(1005)


val lines = ssc.receiverStream(new WordReceiver(StorageLevel.MEMORY_AND_DISK_2))
val words = lines.flatMap(_.split(" "))

val wordCounts = words.map(x => (x, 1)).reduceByKey((x: Int, y: Int) => x + y, 
10)
wordCounts.foreachRDD{rdd =>
  rdd.collect().foreach(println)
  throw new RuntimeException  //exception
}
ssc.start()
try {
  ssc.awaitTermination()
} catch {
  case e: Exception => {
    System.out.println("end!!!!!")
    throw e
  }
}