Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/2455#discussion_r18423427
--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -375,7 +376,9 @@ abstract class RDD[T: ClassTag](
val sum = weights.sum
val normalizedCumWeights = weights.map(_ / sum).scanLeft(0.0d)(_ + _)
normalizedCumWeights.sliding(2).map { x =>
- new PartitionwiseSampledRDD[T, T](this, new
BernoulliSampler[T](x(0), x(1)), true, seed)
+ new PartitionwiseSampledRDD[T, T](this,
--- End diff --
The following style is commonly used in Spark:
~~~
new PartitionwiseSampledRDD[T, T](
this, new BernoulliPartitionSampler[T](x(0), x(1)), true, seed)
~~~
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