org.apache.spark.SparkException: Job aborted due to stage failure: Task 87 in stage 206.0 failed 1 times, most recent failure: Lost task 87.0 in stage 206.0 (TID 4228, localhost): ExecutorLostFailure (executor driver exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 148400 ms Driver stacktrace:

Stack Overflow | Ian | 2 months ago
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    Spark unit test fails due to stage failure

    Stack Overflow | 2 months ago | Ian
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 87 in stage 206.0 failed 1 times, most recent failure: Lost task 87.0 in stage 206.0 (TID 4228, localhost): ExecutorLostFailure (executor driver exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 148400 ms Driver stacktrace:
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    How can I compile only the Spark Core and Spark Streaming (so that I can get unit test utilities of Streaming)?

    Stack Overflow | 2 years ago | Emre Sevinç
    org.apache.spark.SparkException: Job aborted due to stage failure: Master removed our application: FAILED
  3. 0

    SPARK-2045 Sort-based shuffle by mateiz · Pull Request #1499 · apache/spark · GitHub

    github.com | 2 years ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 3.0:1 failed 4 times, most recent failure: Exception failure in TID 14 on host localhost: java.lang.ArrayStoreException: scala.Tuple2 scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88) scala.Array$.slowcopy(Array.scala:81) scala.Array$.copy(Array.scala:107) scala.collection.mutable.ResizableArray$class.copyToArray(ResizableArray.scala:77) scala.collection.mutable.ArrayBuffer.copyToArray(ArrayBuffer.scala:47) scala.collection.TraversableOnce$class.copyToArray(TraversableOnce.scala:241) scala.collection.AbstractTraversable.copyToArray(Traversable.scala:105) scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:249) scala.collection.AbstractTraversable.toArray(Traversable.scala:105) scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28) org.apache.spark.rdd.OrderedRDDFunctions$$anonfun$sortByKey$1.apply(OrderedRDDFunctions.scala:62) org.apache.spark.rdd.OrderedRDDFunctions$$anonfun$sortByKey$1.apply(OrderedRDDFunctions.scala:61) org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:581) org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:581) org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) org.apache.spark.rdd.RDD.iterator(RDD.scala:229) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:112) org.apache.spark.scheduler.Task.run(Task.scala:51) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:745) Driver stacktrace:
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  5. 0

    spark throws exception when querying large amount of data in mysql

    Stack Overflow | 9 months ago | snodawn
    org.apache.spark.SparkException: Job aborted.
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    Transformation with UDF to the same dataframe with `withColumn` fails

    Stack Overflow | 8 months ago | Ivan
    org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 9113 tasks (1024.0 MB) is bigger than spark.driver.maxResultSize (1024.0 MB)

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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 87 in stage 206.0 failed 1 times, most recent failure: Lost task 87.0 in stage 206.0 (TID 4228, localhost): ExecutorLostFailure (executor driver exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 148400 ms 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$$failJobAndIndependentStages(DAGScheduler.scala:1431)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
    3 frames
  3. Scala
    ArrayBuffer.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    2 frames
  4. Spark
    DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
    3 frames
  5. Scala
    Option.foreach
    1. scala.Option.foreach(Option.scala:236)
    1 frame
  6. Spark
    DAGScheduler.handleTaskSetFailed
    1. org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
    1 frame