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https://issues.apache.org/jira/browse/SPARK-2862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Prashant Sharma updated SPARK-2862:
-----------------------------------
Affects Version/s: 1.0.1
> DoubleRDDFunctions.histogram() throws exception for some inputs
> ---------------------------------------------------------------
>
> Key: SPARK-2862
> URL: https://issues.apache.org/jira/browse/SPARK-2862
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 0.9.0, 0.9.1, 1.0.0, 1.0.1
> Environment: Scala version 2.9.2 (OpenJDK 64-Bit Server VM, Java
> 1.7.0_55) running on Ubuntu 14.04
> Reporter: Chandan Kumar
>
> histogram method call throws the below stack trace when the choice of
> bucketCount partitions the RDD in irrational increments e.g.
> scala> val r = sc.parallelize(6 to 99)
> r: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[0] at parallelize at
> <console>:12
> scala> r.histogram(9)
> java.lang.IndexOutOfBoundsException: 9
> at scala.collection.immutable.NumericRange.apply(NumericRange.scala:124)
> at
> scala.collection.immutable.NumericRange$$anon$1.apply(NumericRange.scala:176)
> at scala.collection.IndexedSeqLike$Elements.next(IndexedSeqLike.scala:66)
> at scala.collection.IterableLike$class.copyToArray(IterableLike.scala:237)
> at scala.collection.AbstractIterable.copyToArray(Iterable.scala:54)
> at
> scala.collection.TraversableOnce$class.copyToArray(TraversableOnce.scala:241)
> at scala.collection.AbstractTraversable.copyToArray(Traversable.scala:105)
> at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:249)
> at scala.collection.AbstractTraversable.toArray(Traversable.scala:105)
> at
> org.apache.spark.rdd.DoubleRDDFunctions.histogram(DoubleRDDFunctions.scala:116)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
> at $iwC$$iwC$$iwC.<init>(<console>:20)
> at $iwC$$iwC.<init>(<console>:22)
> at $iwC.<init>(<console>:24)
> at <init>(<console>:26)
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