org.apache.spark.SparkException: Job aborted due to stage failure: Task 1.0 in stage 5.0 (TID 11) had a not serializable result: org.apache.hadoop.io.Text Serialization stack: - object not serializable (class: org.apache.hadoop.io.Text, value: Hadoop) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (Hadoop,1)) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 1)

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  1. 0

    pyspark-hbase.py · 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)
  2. 0

    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 2) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable--芒果酷,永不止步!

    mangocool.com | 1 year ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 2) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable Serialization stack: - object not serializable (class: org.apache.hadoop.hbase.io.ImmutableBytesWritable, value: 7a 68 61 6e 67 73 61 6e) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (7a 68 61 6e 67 73 61 6e,keyvalues={lisi/course:chinese/1434685460521/Put/vlen=2/mvcc=0, lisi/course:english/1434698883293/Put/vlen=2/mvcc=0, lisi/course:math/1434685470168/Put/vlen=2/mvcc=0})) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 2)
  3. 0

    Getting error on getting the sequence file content with rdd.collect() where as with rdd.foreach(println) not getting error in spark

    Stack Overflow | 1 week ago | srinivas amara
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 1.0 in stage 5.0 (TID 11) had a not serializable result: org.apache.hadoop.io.Text Serialization stack: - object not serializable (class: org.apache.hadoop.io.Text, value: Hadoop) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (Hadoop,1)) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 1)
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  5. 0

    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 2) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable--芒果酷,永不止步!

    mangocool.com | 11 months ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 2) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable Serialization stack: - object not serializable (class: org.apache.hadoop.hbase.io.ImmutableBytesWritable, value: 7a 68 61 6e 67 73 61 6e) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (7a 68 61 6e 67 73 61 6e,keyvalues={lisi/course:chinese/1434685460521/Put/vlen=2/mvcc=0, lisi/course:english/1434698883293/Put/vlen=2/mvcc=0, lisi/course:math/1434685470168/Put/vlen=2/mvcc=0})) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 2)
  6. 0

    java.io.NotSerializableException: org.apache.spark.InterruptibleIterator While executing mapPartition() in spark java

    Stack Overflow | 3 months ago | user4342532
    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.spark.InterruptibleIterator Serialization stack: - object not serializable (class: org.apache.spark.InterruptibleIterator, value: non-empty iterator) - field (class: scala.collection.convert.Wrappers$IteratorWrapper, name: underlying, type: interface scala.collection.Iterator) - object (class scala.collection.convert.Wrappers$IteratorWrapper, IteratorWrapper(non-empty iterator)) - element of array (index: 0) - array (class [Ljava.lang.Object;, size 2)

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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 1.0 in stage 5.0 (TID 11) had a not serializable result: org.apache.hadoop.io.Text Serialization stack: - object not serializable (class: org.apache.hadoop.io.Text, value: Hadoop) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (Hadoop,1)) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 1)

    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$$failJobAndIndependentStages(DAGScheduler.scala:1283)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
    3 frames
  3. Scala
    ArrayBuffer.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    2 frames
  4. Spark
    DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
    3 frames
  5. Scala
    Option.foreach
    1. scala.Option.foreach(Option.scala:236)
    1 frame
  6. Spark
    RDD.collect
    1. org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
    2. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
    3. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
    4. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
    5. org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    6. org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
    7. org.apache.spark.SparkContext.runJob(SparkContext.scala:1822)
    8. org.apache.spark.SparkContext.runJob(SparkContext.scala:1835)
    9. org.apache.spark.SparkContext.runJob(SparkContext.scala:1848)
    10. org.apache.spark.SparkContext.runJob(SparkContext.scala:1919)
    11. org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905)
    12. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
    13. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
    14. org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
    15. org.apache.spark.rdd.RDD.collect(RDD.scala:904)
    15 frames
  7. Unknown
    $iwC.<init>
    1. $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:19)
    2. $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:24)
    3. $iwC$$iwC$$iwC$$iwC.<init>(<console>:26)
    4. $iwC$$iwC$$iwC.<init>(<console>:28)
    5. $iwC$$iwC.<init>(<console>:30)
    6. $iwC.<init>(<console>:32)
    6 frames