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 Akash Sethi
, 1 year ago
Job aborted due to stage failure: Task 145 in stage 6.0 failed 4 times, most recent failure: Lost task 145.6 in stage 6.0 (TID 3268, 10.178.149.48): ExecutorLostFailure (executor 157 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 118434 ms Driver stacktrace:
via Stack Overflow by luis.alves
, 1 year ago
Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, 10.241.10.15): ExecutorLostFailure (executor 2bbe0c3b-433b-45e0-938b-f4d4532df129-S31 lost) Driver stacktrace:
via Stack Overflow by Ritika Maheshwari
, 1 year ago
Job aborted due to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3.0 (TID 249, ip-172-31-9-85.us-west-1.compute.internal, executor 23): ExecutorLostFailure (executor 23 exited caused by one of the
via Stack Overflow by ShaneTian
, 1 year ago
Job aborted due to stage failure: Failed to serialize task 0, not attempting to retry it. Exception during serialization: java.lang.UnsupportedOperationException: Accumulator must be registered before send to executor
via GitHub by yodagast
, 2 months ago
Job aborted due to stage failure: Aborting TaskSet 1.0 because task 999 (partition 999) cannot run anywhere due to node and executor blacklist. Blacklisting behavior can be configured via spark.blacklist.*.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 145 in stage 6.0 failed 4 times, most recent failure: Lost task 145.6 in stage 6.0 (TID 3268, 10.178.149.48): ExecutorLostFailure (executor 157 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 118434 msDriver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)