Aditya Parmar created SPARK-6772:
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Summary: spark sql error when running code on large number of
records
Key: SPARK-6772
URL: https://issues.apache.org/jira/browse/SPARK-6772
Project: Spark
Issue Type: Test
Components: SQL
Affects Versions: 1.2.0
Reporter: Aditya Parmar
Hi all ,
I am getting an Arrayoutboundsindex error when i try to run a simple filtering
colums query on a file with 2.5 lac records.runs fine when running on a file
with 2k records .
15/04/08 16:54:06 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID 3,
blrwfl11189.igatecorp.com, PROCESS_LOCAL, 1350 bytes)
15/04/08 16:54:06 INFO TaskSetManager: Lost task 1.1 in stage 0.0 (TID 2) on
executor blrwfl11189.igatecorp.com: java.lang.ArrayIndexOutOfBoundsException
(null) [duplicate 1]
15/04/08 16:54:06 INFO TaskSetManager: Starting task 1.2 in stage 0.0 (TID 4,
blrwfl11189.igatecorp.com, PROCESS_LOCAL, 1350 bytes)
15/04/08 16:54:06 INFO TaskSetManager: Lost task 1.2 in stage 0.0 (TID 4) on
executor blrwfl11189.igatecorp.com: java.lang.ArrayIndexOutOfBoundsException
(null) [duplicate 2]
15/04/08 16:54:06 INFO TaskSetManager: Starting task 1.3 in stage 0.0 (TID 5,
blrwfl11189.igatecorp.com, PROCESS_LOCAL, 1350 bytes)
15/04/08 16:54:06 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 3) on
executor blrwfl11189.igatecorp.com: java.lang.ArrayIndexOutOfBoundsException
(null) [duplicate 3]
15/04/08 16:54:06 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID 6,
blrwfl11189.igatecorp.com, PROCESS_LOCAL, 1350 bytes)
15/04/08 16:54:06 INFO TaskSetManager: Lost task 1.3 in stage 0.0 (TID 5) on
executor blrwfl11189.igatecorp.com: java.lang.ArrayIndexOutOfBoundsException
(null) [duplicate 4]
15/04/08 16:54:06 ERROR TaskSetManager: Task 1 in stage 0.0 failed 4 times;
aborting job
15/04/08 16:54:06 INFO TaskSchedulerImpl: Cancelling stage 0
15/04/08 16:54:06 INFO TaskSchedulerImpl: Stage 0 was cancelled
15/04/08 16:54:06 INFO DAGScheduler: Job 0 failed: saveAsTextFile at
JavaSchemaRDD.scala:42, took 1.914477 s
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to
stage failure: Task 1 in stage 0.0 failed 4 times, most recent failure: Lost
task 1.3 in stage 0.0 (TID 5, blrwfl11189.igatecorp.com):
java.lang.ArrayIndexOutOfBoundsException
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
at akka.actor.ActorCell.invoke(ActorCell.scala:487)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
at akka.dispatch.Mailbox.run(Mailbox.scala:220)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
[aditya@blrwfl11189 ~]$
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