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 lelabo_m
, 1 year ago
Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.5 in stage 0.0 (TID 5, ip-172-31-3-140.eu-west-1.compute.internal, executor 13): ExecutorLostFailure (executor 13 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 164253 ms Driver stacktrace:
via Stack Overflow by Rami
, 4 months ago
Job aborted due to stage failure: Task 7 in stage 2.0 failed 4 times, most recent failure: Lost task 7.3 in stage 2.0 (TID 41, ip-10-0-33-57.prod.eu-west-1.hs.internal, executor 5): ExecutorLostFailure (executor 5 exited caused by one of the running
via Stack Overflow by Jiahang Li
, 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 7, node7): ExecutorLostFailure (executor ff2cf87e-3712-413f-a452-6d71430527bc-S4lost) Driver stacktrace:
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 GitHub by ysule
, 2 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
, 1 month ago
Job aborted due to stage failure: Failed to serialize task 3, not attempting to retry it. Exception during serialization: java.io.NotSerializableException: org.apache.kafka.clients.consumer.ConsumerRecord Serialization stack: - object not
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in  stage 0.0 failed 4 times, most recent failure: Lost task 0.5 in stage 0.0 (TID 5, ip-172-31-3-140.eu-west-1.compute.internal, executor 13): ExecutorLostFailure (executor 13 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 164253 ms
Driver stacktrace:	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)	at scala.Option.foreach(Option.scala:257)	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)	at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)	at org.apache.spark.rdd.RDD.collect(RDD.scala:934)	at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453)	at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:498)	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)	at py4j.Gateway.invoke(Gateway.java:280)	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)	at py4j.commands.CallCommand.execute(CallCommand.java:79)	at py4j.GatewayConnection.run(GatewayConnection.java:214)	at java.lang.Thread.run(Thread.java:745)