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 | 3 months ago
  1. 0

    GitHub comment 572#246357384

    GitHub | 3 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)
  2. 0

    Fail to connect to master. ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All masters are unresponsive

    Stack Overflow | 5 months ago | Yu Shi
    org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
  3. 0

    启动spark-shell 报错。请大神帮忙-Spark-about云开发

    aboutyun.com | 12 months ago
    org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
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  5. 0

    Initialization of SparkContext kills Play Framework application when Spark Master is unreachable

    Stack Overflow | 1 year ago | mg88
    org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.
  6. 0

    GitHub comment 572#246278541

    GitHub | 3 months ago | car2008
    org.apache.spark.SparkException: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.

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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