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, 10.47.183.30): ExecutorLostFailure (executor 5 lost) Driver stacktrace:

GitHub | avatarzhang | 5 months ago
  1. 0

    Lost executor d on x.x.x.x: remote Rpc client disassociated

    GitHub | 5 months ago | avatarzhang
    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, 10.47.183.30): ExecutorLostFailure (executor 5 lost) Driver stacktrace:
  2. 0

    How to increae spark.akka.framesize?

    Stack Overflow | 10 months ago | spk1007
    org.apache.spark.SparkException: Job aborted due to stage failure: Serialized task 0:0 was 12109731 bytes, which exceeds max allowed: spark.akka.frameSize (10485760 bytes) - reserved (204800 bytes). Consider increasing spark.akka.frameSize or using broadcast variables for large values.
  3. 0

    pyspark-hbase.py ยท GitHub

    github.com | 1 year ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 14.0 in stage 6.0 (TID 23) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable Serialization stack: - object not serializable (class: org.apache.hadoop.hbase.io.ImmutableBytesWritable, value: 6c 61 73 74 5f 65 6e 74 69 74 79 5f 62 61 74 63 68) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (6c 61 73 74 5f 65 6e 74 69 74 79 5f 62 61 74 63 68,keyvalues={last_entity_batch/c:d/1441414881172/Put/vlen=5092/mvcc=0})) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 1)
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  5. 0

    Apache Spark: Master removed our application: Failed when using saveAsTextFile on large RDD

    Stack Overflow | 2 years ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Master removed our application: FAILED
  6. 0

    Can anyone explain my Apache Spark Error SparkException: Job aborted due to stage failure

    Stack Overflow | 2 years ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 4 times, most recent failure: Lost task 1.3 in stage 0.0 (TID 6, ip-172-31-36-43.us-west-2.compute.internal): ExecutorLostFailure (executor 6 lost) Driver stacktrace:

  1. tyson925 1 times, last 7 months ago
  2. Nikolay Rybak 1 times, last 2 months ago
  3. tyson925 2 times, last 2 months ago
  4. meneal 1 times, last 4 months ago
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Root Cause Analysis

  1. 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, 10.47.183.30): ExecutorLostFailure (executor 5 lost) 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$$failJobAndIndependentStages(DAGScheduler.scala:1276)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1266)
    3 frames
  3. Scala
    ArrayBuffer.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    2 frames
  4. Spark
    DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1266)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
    3 frames
  5. Scala
    Option.foreach
    1. scala.Option.foreach(Option.scala:236)
    1 frame
  6. Spark
    EventLoop$$anon$1.run
    1. org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
    2. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1460)
    3. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1421)
    4. org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    4 frames