Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/21484#discussion_r192564074
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -390,7 +390,7 @@ class Dataset[T] private[sql](
*/
// This is declared with parentheses to prevent the Scala compiler from
treating
// `ds.toDF("1")` as invoking this toDF and then apply on the returned
DataFrame.
- def toDF(): DataFrame = new Dataset[Row](sparkSession, queryExecution,
RowEncoder(schema))
+ def toDF(): DataFrame = new Dataset[Row](sparkSession, planWithBarrier,
RowEncoder(schema))
--- End diff --
This will probably create a huge regression if you rerun the `DataFrame`.
SparkPlans cache shuffle RDDs and we reuse previously executed shuffles when
you re-run the frame.
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