I suspect in the last scenario you are having an empty new line at the last line. If you put a try..catch you'd definitely know.
Thanks Best Regards On Tue, Aug 25, 2015 at 2:53 AM, Michael Armbrust <mich...@databricks.com> wrote: > 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 >> >> >> >> >> >> >> > >
