maropu commented on a change in pull request #30212:
URL: https://github.com/apache/spark/pull/30212#discussion_r518583118
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/grouping.scala
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@@ -79,6 +79,29 @@ case class Cube(groupByExprs: Seq[Expression]) extends
GroupingSet {}
// scalastyle:on line.size.limit line.contains.tab
case class Rollup(groupByExprs: Seq[Expression]) extends GroupingSet {}
+// scalastyle:off line.size.limit line.contains.tab
+@ExpressionDescription(
+ usage = """
+ _FUNC_(([col1[, col2 ..]])*) - create a multi-dimensional grouping sets
using the specified columns
+ so that we can run aggregation on them.
+ """,
+ examples = """
+ Examples:
+ > SELECT name, age, count(*) FROM VALUES (2, 'Alice'), (5, 'Bob')
people(age, name) GROUP BY _FUNC_(name, age, (name, age));
+ Bob 5 1
+ Alice 2 1
+ Alice NULL 1
+ NULL 2 2
+ Bob NULL 1
+ NULL 5 1
+ """,
+ since = "2.0.0")
+// scalastyle:on line.size.limit line.contains.tab
+case class GroupingSetsV2(selectedGroupByExprs: Seq[Seq[Expression]]) extends
GroupingSet {
Review comment:
Why do we need this? We cannot just map a parsed `GROUPING SETS` into
the existing `GroupingSets`?
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