I'm using the spark-shell locally and working on a dataset of size 900MB. I
initially ran into "java.lang.OutOfMemoryError: GC overhead limit exceeded"
error and upon researching set "SPARK_DRIVER_MEMORY" to 4g.
Now I run into ArrayIndexOutOfBoundsException, please let me know if there
is some way to fix this:
ERROR Executor: Exception in task ID 8
java.lang.ArrayIndexOutOfBoundsException: 1
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$1.next(Iterator.scala:853)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:12 ERROR Executor: Exception in task ID 2
java.lang.ArrayIndexOutOfBoundsException: 3
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$1.next(Iterator.scala:853)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:12 WARN TaskSetManager: Lost TID 8 (task 1.0:8)
14/07/23 01:39:12 WARN TaskSetManager: Loss was due to
java.lang.ArrayIndexOutOfBoundsException
java.lang.ArrayIndexOutOfBoundsException: 1
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$1.next(Iterator.scala:853)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:12 ERROR TaskSetManager: Task 1.0:8 failed 1 times; aborting
job
14/07/23 01:39:12 WARN TaskSetManager: Loss was due to
java.lang.ArrayIndexOutOfBoundsException
java.lang.ArrayIndexOutOfBoundsException: 3
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at $line14.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$1.next(Iterator.scala:853)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:12 ERROR Executor: Exception in task ID 9
org.apache.spark.TaskKilledException
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:12 WARN TaskSetManager: Loss was due to
org.apache.spark.TaskKilledException
org.apache.spark.TaskKilledException
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:13 ERROR Executor: Exception in task ID 10
org.apache.spark.TaskKilledException
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
14/07/23 01:39:13 WARN TaskSetManager: Task 1 was killed.
14/07/23 01:39:13 WARN TaskSetManager: Task 6 was killed.
14/07/23 01:39:13 WARN TaskSetManager: Task 0 was killed.
14/07/23 01:39:13 WARN TaskSetManager: Task 3 was killed.
14/07/23 01:39:13 WARN TaskSetManager: Task 4 was killed.
14/07/23 01:39:13 WARN TaskSetManager: Task 7 was killed.
org.apache.spark.SparkException: Job aborted due to stage failure: Task
1.0:8 failed 1 times, most recent failure: Exception failure in TID 8 on
host localhost: java.lang.ArrayIndexOutOfBoundsException: 1
$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:21)
scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
scala.collection.Iterator$$anon$1.next(Iterator.scala:853)
scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Thanks!
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