zhengruifeng commented on code in PR #37304:
URL: https://github.com/apache/spark/pull/37304#discussion_r932851912
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sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala:
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@@ -2127,6 +2127,15 @@ class Dataset[T] private[sql](
valueColumnName: String): DataFrame =
unpivot(ids, Array.empty, variableColumnName, valueColumnName)
+ /**
+ * Called from Python as Seq[Column] are easier to create via py4j than
Array[Column].
+ */
+ private[sql] def _unpivot(ids: Seq[Column],
Review Comment:
> And there are other private Python methods in Dataset (mapInPandas) and
RelationalGroupedDataset (flatMapGroupsInPandas).
they are also used in test
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