Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Solutions on the web

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
, 3 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 Zach Moshe
, 1 year ago
Job aborted due to stage failure: Task 2 in stage 40431.0 failed 1 times, most recent failure: Lost task 2.0 in stage 40431.0 (TID 8029, localhost): java.lang.ArrayIndexOutOfBoundsException Driver stacktrace:
via Stack Overflow by a.moussa
, 1 month ago
})) - element of array (index: 0) - array (class [Lorg.apache.kafka.clients.consumer.ConsumerRecord;, size 1) - field (class: scala.collection.mutable.WrappedArray$ofRef, name: array, type: class [Ljava.lang.Object;) - object (class
via Stack Overflow by user4342532
, 1 year ago
Job aborted due to stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result: org.apache.spark.InterruptibleIterator Serialization stack: - object not serializable (class: org.apache.spark.InterruptibleIterator, value: non-empty
via Stack Overflow by unekwu
, 1 year ago
Job aborted due to stage failure: Task 0.0 in stage 1.0 (TID 4) had a not serializable result: java.util.ArrayList$Itr Serialization stack: - object not serializable (class: java.util.ArrayList$Itr, value: java.util.ArrayList$Itr@e6275ea) - field
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.(:19)	at $iwC$$iwC$$iwC$$iwC$$iwC.(:24)	at $iwC$$iwC$$iwC$$iwC.(:26)	at $iwC$$iwC$$iwC.(:28)	at $iwC$$iwC.(:30)	at $iwC.(:32)