Hi All,
I am trying to run the spark example JavaDecisionTree code using some
external data set.
It works for certain dataset only with specific maxBins and maxDepth
settings. Even for a working dataset if I add a new data item I get a
ArrayIndexOutOfBounds Exception, I get the same exception for the first case
as well (changing maxBins and maxDepth). I am not sure what is wrong here,
can anyone please explain this.
Exception stacktrace:
14/10/21 13:47:15 ERROR executor.Executor: Exception in task 1.0 in stage
7.0 (TID 13)
java.lang.ArrayIndexOutOfBoundsException: 6301
at
org.apache.spark.mllib.tree.DecisionTree$.updateBinForOrderedFeature$1(DecisionTree.scala:648)
at
org.apache.spark.mllib.tree.DecisionTree$.binaryOrNotCategoricalBinSeqOp$1(DecisionTree.scala:706)
at
org.apache.spark.mllib.tree.DecisionTree$.org$apache$spark$mllib$tree$DecisionTree$$binSeqOp$1(DecisionTree.scala:798)
at
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:830)
at
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:830)
at
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
at
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at
org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
at
org.apache.spark.InterruptibleIterator.foldLeft(InterruptibleIterator.scala:28)
at
scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201)
at
org.apache.spark.InterruptibleIterator.aggregate(InterruptibleIterator.scala:28)
at
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$4.apply(RDDFunctions.scala:99)
at
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$4.apply(RDDFunctions.scala:99)
at
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$5.apply(RDDFunctions.scala:100)
at
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$5.apply(RDDFunctions.scala:100)
at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
14/10/21 13:47:15 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 7.0
(TID 13, localhost): java.lang.ArrayIndexOutOfBoundsException: 6301
org.apache.spark.mllib.tree.DecisionTree$.updateBinForOrderedFeature$1(DecisionTree.scala:648)
org.apache.spark.mllib.tree.DecisionTree$.binaryOrNotCategoricalBinSeqOp$1(DecisionTree.scala:706)
org.apache.spark.mllib.tree.DecisionTree$.org$apache$spark$mllib$tree$DecisionTree$$binSeqOp$1(DecisionTree.scala:798)
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:830)
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:830)
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
org.apache.spark.InterruptibleIterator.foldLeft(InterruptibleIterator.scala:28)
scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201)
org.apache.spark.InterruptibleIterator.aggregate(InterruptibleIterator.scala:28)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$4.apply(RDDFunctions.scala:99)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$4.apply(RDDFunctions.scala:99)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$5.apply(RDDFunctions.scala:100)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$5.apply(RDDFunctions.scala:100)
org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
org.apache.spark.scheduler.Task.run(Task.scala:54)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
14/10/21 13:47:15 ERROR scheduler.TaskSetManager: Task 1 in stage 7.0 failed
1 times; aborting job
14/10/21 13:47:15 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 7.0,
whose tasks have all completed, from pool
14/10/21 13:47:15 INFO scheduler.TaskSchedulerImpl: Cancelling stage 7
14/10/21 13:47:15 INFO scheduler.DAGScheduler: Failed to run reduce at
RDDFunctions.scala:111
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in
stage 7.0 failed 1 times, most recent failure: Lost task 1.0 in stage 7.0
(TID 13, localhost): java.lang.ArrayIndexOutOfBoundsException: 6301
org.apache.spark.mllib.tree.DecisionTree$.updateBinForOrderedFeature$1(DecisionTree.scala:648)
org.apache.spark.mllib.tree.DecisionTree$.binaryOrNotCategoricalBinSeqOp$1(DecisionTree.scala:706)
org.apache.spark.mllib.tree.DecisionTree$.org$apache$spark$mllib$tree$DecisionTree$$binSeqOp$1(DecisionTree.scala:798)
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:830)
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:830)
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
org.apache.spark.InterruptibleIterator.foldLeft(InterruptibleIterator.scala:28)
scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201)
org.apache.spark.InterruptibleIterator.aggregate(InterruptibleIterator.scala:28)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$4.apply(RDDFunctions.scala:99)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$4.apply(RDDFunctions.scala:99)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$5.apply(RDDFunctions.scala:100)
org.apache.spark.mllib.rdd.RDDFunctions$$anonfun$5.apply(RDDFunctions.scala:100)
org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
org.apache.spark.scheduler.Task.run(Task.scala:54)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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)
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