Github user sameeragarwal commented on a diff in the pull request:
https://github.com/apache/spark/pull/10626#discussion_r49044814
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -1062,10 +1062,17 @@ class DataFrame private[sql](
* @since 1.4.0
*/
def randomSplit(weights: Array[Double], seed: Long): Array[DataFrame] = {
+ // It is possible that the underlying dataframe doesn't guarantee the
ordering of rows in its
+ // constituent partitions each time a split is materialized which
could result in
+ // overlapping splits. To prevent this, we explicitly sort each input
partition to make the
+ // ordering deterministic.
+ val logicalPlanWithLocalSort =
--- End diff --
done
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