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 pseudocode
, 1 year ago
Job aborted due to stage failure: Task 0 in stage 52.0 failed 1 times, most recent failure: Lost task 0.0 in stage 52.0 (TID 40, localhost): java.lang.ArrayIndexOutOfBoundsException 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
, 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 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
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 user3407267
, 2 months ago
Job aborted due to stage failure: Task 0 in stage 68.0 failed 4 times, most recent failure: Lost task 0.3 in stage 68.0 (TID 42200, ip-172-31-39-59.ec2.internal): TaskResultLost (result lost from block manager) Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 52.0 failed 1 times, most recent failure: Lost task 0.0 in stage 52.0 (TID 40, localhost): java.lang.ArrayIndexOutOfBoundsException
Driver stacktrace:	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1280)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267)	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)	at scala.Option.foreach(Option.scala:236)	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493)	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455)	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444)	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839)	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1910)	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905)	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)	at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)	at org.apache.spark.rdd.RDD.collect(RDD.scala:904)	at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:177)	at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386)	at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386)	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)	at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904)	at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385)	at org.apache.spark.sql.DataFrame.count(DataFrame.scala:1403)	at sun.reflect.GeneratedMethodAccessor90.invoke(Unknown Source)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:498)	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)	at py4j.Gateway.invoke(Gateway.java:259)	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)	at py4j.commands.CallCommand.execute(CallCommand.java:79)	at py4j.GatewayConnection.run(GatewayConnection.java:207)	at java.lang.Thread.run(Thread.java:745)