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Posted to issues@spark.apache.org by "Masaru Dobashi (JIRA)" <ji...@apache.org> on 2014/10/05 13:34:34 UTC
[jira] [Updated] (SPARK-3803) ArrayIndexOutOfBoundsException found
in executing computePrincipalComponents
[ https://issues.apache.org/jira/browse/SPARK-3803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Masaru Dobashi updated SPARK-3803:
----------------------------------
Description:
When I executed computePrincipalComponents method of RowMatrix, I got java.lang.ArrayIndexOutOfBoundsException.
{quote}
14/10/05 20:16:31 INFO DAGScheduler: Failed to run reduce at RDDFunctions.scala:111
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 31.0 failed 1 times, most recent failure: Lost task 0.0 in stage 31.0 (TID 611, localhost): java.lang.ArrayIndexOutOfBoundsException: 4878161
org.apache.spark.mllib.linalg.distributed.RowMatrix$.org$apache$spark$mllib$linalg$distributed$RowMatrix$$dspr(RowMatrix.scala:460)
org.apache.spark.mllib.linalg.distributed.RowMatrix$$anonfun$3.apply(RowMatrix.scala:114)
org.apache.spark.mllib.linalg.distributed.RowMatrix$$anonfun$3.apply(RowMatrix.scala:113)
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:144)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201)
scala.collection.AbstractIterator.aggregate(Iterator.scala:1157)
org.apache.spark.mllib.rdd.RDDFunctions$$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.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.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
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:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
{quote}
The RowMatrix instance was generated from the result of TF-IDF like the following.
{quote}
scala> val hashingTF = new HashingTF()
scala> val tf = hashingTF.transform(texts)
scala> import org.apache.spark.mllib.feature.IDF
scala> tf.cache()
scala> val idf = new IDF().fit(tf)
scala> val tfidf: RDD[Vector] = idf.transform(tf)
scala> import org.apache.spark.mllib.linalg.distributed.RowMatrix
scala> val mat = new RowMatrix(tfidf)
scala> val pc = mat.computePrincipalComponents(2)
{quote}
> ArrayIndexOutOfBoundsException found in executing computePrincipalComponents
> ----------------------------------------------------------------------------
>
> Key: SPARK-3803
> URL: https://issues.apache.org/jira/browse/SPARK-3803
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.1.0
> Reporter: Masaru Dobashi
>
> When I executed computePrincipalComponents method of RowMatrix, I got java.lang.ArrayIndexOutOfBoundsException.
> {quote}
> 14/10/05 20:16:31 INFO DAGScheduler: Failed to run reduce at RDDFunctions.scala:111
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 31.0 failed 1 times, most recent failure: Lost task 0.0 in stage 31.0 (TID 611, localhost): java.lang.ArrayIndexOutOfBoundsException: 4878161
> org.apache.spark.mllib.linalg.distributed.RowMatrix$.org$apache$spark$mllib$linalg$distributed$RowMatrix$$dspr(RowMatrix.scala:460)
> org.apache.spark.mllib.linalg.distributed.RowMatrix$$anonfun$3.apply(RowMatrix.scala:114)
> org.apache.spark.mllib.linalg.distributed.RowMatrix$$anonfun$3.apply(RowMatrix.scala:113)
> 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)
> scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
> scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
> scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201)
> scala.collection.AbstractIterator.aggregate(Iterator.scala:1157)
> 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$13.apply(RDD.scala:596)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> org.apache.spark.scheduler.Task.run(Task.scala:54)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:745)
> {quote}
> The RowMatrix instance was generated from the result of TF-IDF like the following.
> {quote}
> scala> val hashingTF = new HashingTF()
> scala> val tf = hashingTF.transform(texts)
> scala> import org.apache.spark.mllib.feature.IDF
> scala> tf.cache()
> scala> val idf = new IDF().fit(tf)
> scala> val tfidf: RDD[Vector] = idf.transform(tf)
> scala> import org.apache.spark.mllib.linalg.distributed.RowMatrix
> scala> val mat = new RowMatrix(tfidf)
> scala> val pc = mat.computePrincipalComponents(2)
> {quote}
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