org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 130.0 failed 1 times, most recent failure: Lost task 0.0 in stage 130.0 (TID 132, localhost): java.lang.ClassCastException Driver stacktrace:

GitHub | sudcha | 5 months ago
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  1. 0

    GitHub comment 1#253804751

    GitHub | 5 months ago | sudcha
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 130.0 failed 1 times, most recent failure: Lost task 0.0 in stage 130.0 (TID 132, localhost): java.lang.ClassCastException Driver stacktrace:
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    How to know that CaffeOnSpark is running in GPU mode?

    GitHub | 4 months ago | chris0927
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, 10.11.35.201): ExecutorLostFailure (executor 3 exited caused by one of the running tasks) Reason: Remote RPC client disassociated. Likely due to containers exceeding thresholds, or network issues. Check driver logs for WARN messages. Driver stacktrace:
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    an error on Mesos

    GitHub | 9 months ago | jsongcse
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, hkcloud-node1): ExecutorLostFailure (executor 753a7274-173a-41bf-b800-0345adc29be0-S0 exited caused by one of the running tasks) Reason: Remote RPC client disassociated. Likely due to containers exceeding thresholds, or network issues. Check driver logs for WARN messages. Driver stacktrace:
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    SparkException: ExecutorLostFailure (executor driver lost) | Active Intelligence

    activeintelligence.org | 2 months ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 3343 in stage 33.0 failed 1 times, most recent failure: Lost task 3343.0 in stage 33.0 (TID 147765, localhost): ExecutorLostFailure (executor driver lost) Driver stacktrace:
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    nabble.com | 1 year ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 193.0 failed 1 times, most recent failure: Lost task 4.0 in stage 193.0 (TID 7688, localhost): ExecutorLostFailure (executor driver lost)^M     Driver stacktrace:

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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 0 in stage 130.0 failed 1 times, most recent failure: Lost task 0.0 in stage 130.0 (TID 132, localhost): java.lang.ClassCastException Driver stacktrace:

    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages()
  2. Spark
    DAGScheduler$$anonfun$abortStage$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437)
    3 frames
  3. Scala
    ArrayBuffer.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    2 frames
  4. Spark
    DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
    3 frames
  5. Scala
    Option.foreach
    1. scala.Option.foreach(Option.scala:257)
    1 frame
  6. Spark
    RDD.collect
    1. org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
    2. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
    3. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
    4. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
    5. org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    6. org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
    7. org.apache.spark.SparkContext.runJob(SparkContext.scala:1871)
    8. org.apache.spark.SparkContext.runJob(SparkContext.scala:1884)
    9. org.apache.spark.SparkContext.runJob(SparkContext.scala:1897)
    10. org.apache.spark.SparkContext.runJob(SparkContext.scala:1911)
    11. org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:893)
    12. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    13. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    14. org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
    15. org.apache.spark.rdd.RDD.collect(RDD.scala:892)
    15 frames
  7. Spark Project ML Library
    BinaryClassificationMetrics.areaUnderROC
    1. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.x$4$lzycompute(BinaryClassificationMetrics.scala:190)
    2. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.x$4(BinaryClassificationMetrics.scala:144)
    3. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.confusions$lzycompute(BinaryClassificationMetrics.scala:146)
    4. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.confusions(BinaryClassificationMetrics.scala:146)
    5. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.createCurve(BinaryClassificationMetrics.scala:221)
    6. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.roc(BinaryClassificationMetrics.scala:85)
    7. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.areaUnderROC(BinaryClassificationMetrics.scala:96)
    7 frames