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

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  • GitHub comment 572#246278541
    via GitHub by car2008
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  • Spark UI's kill is not killing Driver
    via Stack Overflow by AKC
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    • 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)

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