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)

GitHub | arahuja | 8 months ago
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    GitHub comment 572#246357384

    GitHub | 8 months ago | arahuja
    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)

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    Root Cause Analysis

    1. 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$.tryOrExit()
    2. Spark
      Utils$.tryOrExit
      1. org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163)
      1 frame