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 5, averie001-edt-loc): java.lang.IllegalStateException: unread block data java.io.ObjectInputStream$BlockDataInputStream. setBlockDataMode(ObjectInputStream.java:2421) java.io.ObjectInputStream. readObject0(ObjectInputStream.java:1382) java.io.ObjectInputStream. defaultReadFields(ObjectInputStream.java:1990) java.io.ObjectInputStream. readSerialData(ObjectInputStream.java:1915) java.io.ObjectInputStream. readOrdinaryObject(ObjectInputStream.java:1798) java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) org.apache.spark.serializer.JavaDeserializationStream. readObject(JavaSerializer.scala:62) org.apache.spark.serializer. JavaSerializerInstance.deserialize(JavaSerializer.scala:87) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:160) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$ scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)

zeppelin-users | Kevin Kim (Sangwoo) | 2 years ago
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    Re: Zeppelin with Stratio DeepSpark

    zeppelin-users | 2 years ago | Kevin Kim (Sangwoo)
    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 5, averie001-edt-loc): java.lang.IllegalStateException: unread block data java.io.ObjectInputStream$BlockDataInputStream. setBlockDataMode(ObjectInputStream.java:2421) java.io.ObjectInputStream. readObject0(ObjectInputStream.java:1382) java.io.ObjectInputStream. defaultReadFields(ObjectInputStream.java:1990) java.io.ObjectInputStream. readSerialData(ObjectInputStream.java:1915) java.io.ObjectInputStream. readOrdinaryObject(ObjectInputStream.java:1798) java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) org.apache.spark.serializer.JavaDeserializationStream. readObject(JavaSerializer.scala:62) org.apache.spark.serializer. JavaSerializerInstance.deserialize(JavaSerializer.scala:87) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:160) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$ scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
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    Having problems with model training in v0.8.0

    Google Groups | 2 years ago | Satish Ayyaswami
    org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)2014-10-14 20:25:05,711 INFO handler.ContextHandler - stopped o.e.j.s.ServletContextHandler{/,null}
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    Apache Spark User List - Update gcc version ,Still snappy error.

    nabble.com | 1 year ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 1.0 failed 4 times, most recent failure: Lost task 2.3 in stage 1.0 (TID 9, spark-dev135): ExecutorLostFailure (executor lost) Driver stacktrace:
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    gmane.org | 1 year ago
    org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up. at $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
  6. 0

    Re: Executor Lost Failure

    apache.org | 1 year ago
    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 7, gonephishing.local): ExecutorLostFailure (executor lost) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)

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Root Cause Analysis

  1. 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 5, averie001-edt-loc): java.lang.IllegalStateException: unread block data java.io.ObjectInputStream$BlockDataInputStream. setBlockDataMode(ObjectInputStream.java:2421) java.io.ObjectInputStream. readObject0(ObjectInputStream.java:1382) java.io.ObjectInputStream. defaultReadFields(ObjectInputStream.java:1990) java.io.ObjectInputStream. readSerialData(ObjectInputStream.java:1915) java.io.ObjectInputStream. readOrdinaryObject(ObjectInputStream.java:1798) java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) org.apache.spark.serializer.JavaDeserializationStream. readObject(JavaSerializer.scala:62) org.apache.spark.serializer. JavaSerializerInstance.deserialize(JavaSerializer.scala:87) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:160) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$ scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)

    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply()
  2. Spark
    DAGScheduler$$anonfun$abortStage$1.apply
    1. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)
    2 frames
  3. Scala
    ResizableArray$class.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    1 frame