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From Sameer Tilak <ssti...@live.com>
Subject MLUtils.loadLibSVMFile error
Date Wed, 24 Sep 2014 22:02:43 GMT








Hi All,
When I try to load dataset using MLUtils.loadLibSVMFile, I have the following problem. Any
help will be greatly appreciated!

Code snippet:
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.util.MLUtils
import org.apache.spark.rdd.RDD
import org.apache.spark.mllib.regression.LinearRegressionWithSGD


val examples: RDD[LabeledPoint] = MLUtils.loadLibSVMFile(sc,"structured/results/data.txt")
stacktrace:
14/09/24 15:00:49 ERROR Executor: Exception in task ID 0java.lang.ArrayIndexOutOfBoundsException:
1	at org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:82)	at
org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:79)	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)	at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)	at org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:79)
at org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:76)	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:107)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
at org.apache.spark.scheduler.Task.run(Task.scala:51)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)14/09/24 15:00:49 ERROR Executor: Exception in task
ID 1java.lang.ArrayIndexOutOfBoundsException: 1	at org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:82)
at org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:79)	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)	at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)	at org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:79)
at org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:76)	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$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$eq(ArrayBuffer.scala:103)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:107)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
at org.apache.spark.scheduler.Task.run(Task.scala:51)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)14/09/24 15:00:49 WARN TaskSetManager: Lost TID 0
(task 0.0:0)14/09/24 15:00:49 WARN TaskSetManager: Loss was due to java.lang.ArrayIndexOutOfBoundsExceptionjava.lang.ArrayIndexOutOfBoundsException:
1	at org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:82)	at
org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:79)	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)	at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)	at org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:79)
at org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:76)	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:107)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
at org.apache.spark.scheduler.Task.run(Task.scala:51)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)14/09/24 15:00:49 ERROR TaskSetManager: Task 0.0:0
failed 1 times; aborting job14/09/24 15:00:49 INFO TaskSchedulerImpl: Removed TaskSet 0.0,
whose tasks have all completed, from pool14/09/24 15:00:49 INFO DAGScheduler: Failed to run
reduce at MLUtils.scala:9514/09/24 15:00:49 INFO TaskSchedulerImpl: Cancelling stage 014/09/24
15:00:49 INFO TaskSetManager: Loss was due to java.lang.ArrayIndexOutOfBoundsException: 1
[duplicate 1]14/09/24 15:00:49 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have
all completed, from poolorg.apache.spark.SparkException: Job aborted due to stage failure:
Task 0.0:0 failed 1 times, most recent failure: Exception failure in TID 0 on host localhost:
java.lang.ArrayIndexOutOfBoundsException: 1        org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:82)
       org.apache.spark.mllib.util.MLUtils$$anonfun$4$$anonfun$5.apply(MLUtils.scala:79) 
      scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)   
    scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)     
  scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)       
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)        scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
       scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)        org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:79)
       org.apache.spark.mllib.util.MLUtils$$anonfun$4.apply(MLUtils.scala:76)        scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
       scala.collection.Iterator$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$eq(ArrayBuffer.scala:103)
       org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:107)        org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
       org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)        org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
       org.apache.spark.rdd.RDD.iterator(RDD.scala:229)        org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
       org.apache.spark.scheduler.Task.run(Task.scala:51)        org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
       java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)   
    java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)      
 java.lang.Thread.run(Thread.java:744)Driver stacktrace:	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)	at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)	at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$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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