org.apache.spark.SparkException: Job aborted due to stage failure: ClassNotFound with classloader: sun.misc.Launcher$AppClassLoader@5d6f64b1

Stack Overflow | user3030851 | 2 months ago
  1. 0

    Exception returned when collecting case class from RDD in Spark 2.0

    Stack Overflow | 2 months ago | user3030851
    org.apache.spark.SparkException: Job aborted due to stage failure: ClassNotFound with classloader: sun.misc.Launcher$AppClassLoader@5d6f64b1
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    Using neo4j-spark-connector to find specific nodes rather than count & save result in RDD

    Stack Overflow | 3 months ago | kaxil
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 4.0 (TID 4) had a not serializable result: org.neo4j.driver.internal.InternalNode Serialization stack: - object not serializable (class: org.neo4j.driver.internal.InternalNode, value: node<10516047>) - element of array (index: 0) - array (class [Ljava.lang.Object;, size 1) - field (class: org.apache.spark.sql.catalyst.expressions.GenericRow, name: values, type: class [Ljava.lang.Object;) - object (class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema, [node<10516047>]) - element of array (index: 0) - array (class [Lorg.apache.spark.sql.Row;, size 1)
  3. 0

    GitHub comment 1#253804751

    GitHub | 2 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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  5. 0

    Spark Executor memory timeout failure

    Stack Overflow | 1 month ago | sarthak
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 9.0 failed 1 times, most recent failure: Lost task 0.0 in stage 9.0 (TID 98, localhost): ExecutorLostFailure (executor driver exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 247686 ms Driver stacktrace:
  6. 0

    Spark Streaming Kafka Consumer object not serializable

    Stack Overflow | 4 weeks ago | Chenghao Lv
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result: org.apache.kafka.clients.consumer.ConsumerRecord Serialization stack: - object not serializable (class: org.apache.kafka.clients.consumer.ConsumerRecord, value: ConsumerRecord(topic = local1, partition = 0, offset = 10000, CreateTime = 1479012919187, checksum = 1713832959, serialized key size = -1, serialized value size = 1, key = null, value = a)) - element of array (index: 0) - array (class [Lorg.apache.kafka.clients.consumer.ConsumerRecord;, size 11)

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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: ClassNotFound with classloader: sun.misc.Launcher$AppClassLoader@5d6f64b1

    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