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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Solutions on the web2282

  • 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
  • Job aborted due to stage failure: Task 0.0 in stage 1.0 (TID 4) had a not serializable result: java.util.ArrayList$Itr Serialization stack: - object not serializable (class: java.util.ArrayList$Itr, value: java.util.ArrayList$Itr@e6275ea) - field
  • via github.com by Unknown author, 1 year ago
    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
  • Stack trace

    • 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$$failJobAndIndependentStages(DAGScheduler.scala:1283) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1919) at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.rdd.RDD.withScope(RDD.scala:306) at org.apache.spark.rdd.RDD.collect(RDD.scala:904) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:19) at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:24) at $iwC$$iwC$$iwC$$iwC.<init>(<console>:26) at $iwC$$iwC$$iwC.<init>(<console>:28) at $iwC$$iwC.<init>(<console>:30) at $iwC.<init>(<console>:32)

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