Github user MaxGekk commented on a diff in the pull request:
https://github.com/apache/spark/pull/22316#discussion_r221427994
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/RelationalGroupedDataset.scala ---
@@ -330,6 +330,15 @@ class RelationalGroupedDataset protected[sql](
* df.groupBy("year").pivot("course").sum("earnings")
* }}}
*
+ * From Spark 2.5.0, values can be literal columns, for instance,
struct. For pivoting by
+ * multiple columns, use the `struct` function to combine the columns
and values:
+ *
+ * {{{
+ * df.groupBy($"year")
--- End diff --
Why cannot be grouping by `Column` type?
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