Github user rekhajoshm commented on a diff in the pull request: https://github.com/apache/spark/pull/12184#discussion_r58959234 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala --- @@ -1492,6 +1491,8 @@ class Dataset[T] private[sql]( * @param weights weights for splits, will be normalized if they don't sum to 1. * @param seed Seed for sampling. * + * For Java API, use [[randomSplitAsList]]. --- End diff -- Dataset.randomSplit() was returning Array[Dataset[T]], which doesn't work for Java users since Java methods can't return generic arrays. Hence randomSplitAsList().
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