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)
