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via Stack Overflow by srinivas amara
, 1 year ago
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
via GitHub by ysule
, 5 months ago
Job aborted due to stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result: org.neo4j.driver.internal.InternalNode Serialization stack: - object not serializable (class: org.neo4j.driver.internal.InternalNode, value: node
via Stack Overflow by a.moussa
, 3 months ago
})) - element of array (index: 0) - array (class [Lorg.apache.kafka.clients.consumer.ConsumerRecord;, size 1) - field (class: scala.collection.mutable.WrappedArray$ofRef, name: array, type: class [Ljava.lang.Object;) - object (class
via Stack Overflow by user4342532
, 1 year ago
Job aborted due to stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result: org.apache.spark.InterruptibleIterator Serialization stack: - object not serializable (class: org.apache.spark.InterruptibleIterator, value: non-empty
via Stack Overflow by Markus
, 1 month ago
Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.6 in stage 2.0 (TID 54, ip-XXX-XX-XXX-XXX.eu-west-1.compute.internal, executor 4): ExecutorLostFailure (executor 4 exited caused by one of the
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1.0 in stage 5.0 (TID 11) had a not serializable result: org.apache.hadoop.io.TextSerialization stack: - object not serializable (class: org.apache.hadoop.io.Text, value: Hadoop) - field (class: scala.Tuple2, name: _1, type: class java.lang.Object) - object (class scala.Tuple2, (Hadoop,1)) - element of array (index: 0) - array (class [Lscala.Tuple2;, size 1) at org.apache.spark.scheduler.DAGScheduler.org$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)