adding logs from executors. 15/01/18 12:55:00 INFO NativeS3FileSystem: Opening 's3n://...../part-00000' for reading 15/01/18 12:55:00 ERROR Executor: Exception in task 0.2 in stage 0.0 (TID 2) java.lang.ExceptionInInitializerError at $line49.$read$$iwC.<init>(<console>:6) at $line49.$read.<init>(<console>:35) at $line49.$read$.<init>(<console>:39) at $line49.$read$.<clinit>(<console>) at $line50.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$DailyStatsChartBuilder$.fromCsv(<console>:41) at $line53.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:43) at $line53.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:43) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$10.next(Iterator.scala:312) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.rdd.RDD$$anonfun$28.apply(RDD.scala:1079) at org.apache.spark.rdd.RDD$$anonfun$28.apply(RDD.scala:1079) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) at org.apache.spark.scheduler.Task.run(Task.scala:54) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.NullPointerException at $line3.$read$$iwC$$iwC.<init>(<console>:8) at $line3.$read$$iwC.<init>(<console>:14) at $line3.$read.<init>(<console>:16) at $line3.$read$.<init>(<console>:20) at $line3.$read$.<clinit>(<console>) ... 30 more
On Sun Jan 18 2015 at 11:01:20 PM Kevin (Sangwoo) Kim <kevin...@apache.org> wrote: > Hi experts, > > I'm getting ExceptionInInitializerError when using a class defined in REPL. > Code is something like this: > > case class TEST(a: String) > sc.textFile("~~~").map(TEST(_)).count > > The code above used to works well until yesterday, but suddenly for some > reason it doesn't work with the error. > Confirmed it still works with local mode. > > I'm getting headache while working into this problem during whole weekend. > Any ideas? > > environment: > aws ec2, s3 > spark v1.1.1, hadoop 2.2 > > Attaching error logs: > === > > 15/01/18 13:54:22 INFO TaskSetManager: Lost task 0.19 in stage 0.0 (TID > 19) on executor ip-172-16-186-181.ap-northeast-1.compute.internal: > java.lang.ExceptionInInitializerError (null) [duplicate 5] > 15/01/18 13:54:22 ERROR TaskSetManager: Task 0 in stage 0.0 failed 20 > times; aborting job > 15/01/18 13:54:22 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks > have all completed, from pool > 15/01/18 13:54:22 INFO TaskSchedulerImpl: Cancelling stage 0 > 15/01/18 13:54:22 INFO DAGScheduler: Failed to run first at <console>:45 > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 > in stage 0.0 failed 20 times, most recent failure: Lost task 0.19 in stage > 0.0 (TID 19, ip-172-16-186-181.ap-northeast-1.compute.internal): > java.lang.ExceptionInInitializerError: > $iwC.<init>(<console>:6) > <init>(<console>:35) > .<init>(<console>:39) > .<clinit>(<console>) > > $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$DailyStatsChartBuilder$.fromCsv(<console>:41) > > $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:43) > > $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:43) > scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > scala.collection.Iterator$$anon$10.next(Iterator.scala:312) > scala.collection.Iterator$class.foreach(Iterator.scala:727) > scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > scala.collection.TraversableOnce$class.to > (TraversableOnce.scala:273) > scala.collection.AbstractIterator.to(Iterator.scala:1157) > > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > org.apache.spark.rdd.RDD$$anonfun$28.apply(RDD.scala:1079) > org.apache.spark.rdd.RDD$$anonfun$28.apply(RDD.scala:1079) > > org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143) > > org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143) > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) > org.apache.spark.scheduler.Task.run(Task.scala:54) > > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > java.lang.Thread.run(Thread.java:745) > Driver stacktrace: > at org.apache.spark.scheduler.DAGScheduler.org > $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) > at akka.actor.ActorCell.invoke(ActorCell.scala:456) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) > at akka.dispatch.Mailbox.run(Mailbox.scala:219) > at > akka.dispatch.ForkJoinExecutorConfigurator$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) >