Github user icexelloss commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r141950131
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/RelationalGroupedDataset.scala ---
@@ -47,8 +47,8 @@ import org.apache.spark.sql.types.StructType
*/
@InterfaceStability.Stable
class RelationalGroupedDataset protected[sql](
- df: DataFrame,
- groupingExprs: Seq[Expression],
+ val df: DataFrame,
+ val groupingExprs: Seq[Expression],
--- End diff --
`val df` is used for accessing the jdf object from python:
https://github.com/icexelloss/spark/blob/groupby-apply-SPARK-20396/python/pyspark/sql/group.py#L204
Alternatively, I can restore a reference to the python DataFrame in python
GroupedData object. It doesn't seem to be much different though.
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