This top line here is indicating that the exception is being throw from
your code (i.e. code written in the console).
at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:40)
Check to make sure that you are properly handling data that has less
columns than you would expect.
On Mon, Aug 24, 2015 at 12:41 PM, SAHA, DEBOBROTA <ds3...@att.com> wrote:
> Hi ,
>
>
>
> I am using SPARK 1.4 and I am getting an array out of bound Exception when
> I am trying to read from a registered table in SPARK.
>
>
>
> For example If I have 3 different text files with the content as below:
>
>
>
> *Scenario 1*:
>
> A1|B1|C1
>
> A2|B2|C2
>
>
>
> *Scenario 2*:
>
> A1| |C1
>
> A2| |C2
>
>
>
> *Scenario 3*:
>
> A1| B1|
>
> A2| B2|
>
>
>
> So for Scenario 1 and 2 it’s working fine but for Scenario 3 I am getting
> the following error:
>
>
>
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage
> 3.0 (TID 4, localhost): java.lang.ArrayIndexOutOfBoundsException: 2
>
> at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:40)
>
> at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:38)
>
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
>
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>
> at scala.collection.TraversableOnce$class.to
> (TraversableOnce.scala:273)
>
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:143)
>
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:143)
>
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
>
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
>
> at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
>
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
>
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>
> at java.lang.Thread.run(Thread.java:745)
>
>
>
> Driver stacktrace:
>
> at org.apache.spark.scheduler.DAGScheduler.org
> $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
>
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
>
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
>
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>
> at
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
>
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
>
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
>
> at scala.Option.foreach(Option.scala:236)
>
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
>
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
>
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
>
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>
>
>
> Please help.
>
>
>
> Thanks,
>
> Debobrota
>
>
>
>
>
>
>
