org.apache.spark.SparkException

Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.

Solutions on the web1739

  • Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
  • Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
  • via aboutyun.com by Unknown author, 1 year ago
    Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
  • Stack trace

    • org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.TaskSchedulerImpl.error(TaskSchedulerImpl.scala:438) at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:124) at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134) at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163) at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745)

    Write tip

    You have a different solution? A short tip here would help you and many other users who saw this issue last week.

    Users with the same issue

    Unknown user
    Once, 1 year ago