Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/22316#discussion_r221427775 --- 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($"year") --- End diff -- nit: `$"year"` -> `"year"`
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