cloud-fan commented on a change in pull request #30144:
URL: https://github.com/apache/spark/pull/30144#discussion_r610460429
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File path: docs/sql-ref-syntax-qry-select-groupby.md
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@@ -93,6 +95,38 @@ aggregate_name ( [ DISTINCT ] expression [ , ... ] ) [
FILTER ( WHERE boolean_ex
(product, warehouse, location), (warehouse), (product), (warehouse,
product), ())`.
The N elements of a `CUBE` specification results in 2^N `GROUPING SETS`.
+* **Partial Grouping Analytics**
+
+ Partial grouping analytics means there are both `group_expression` and
`CUBE|ROLLUP|GROUPING SETS`
+ in GROUP BY clause. `CUBE` and `ROLLUP` are just syntax sugar for GROUPING
SETS, for how to use
+ `CUBE` and `ROLLUP` can refer to the section above about `CUBE` and
`ROLLUP`. For example:
+ `GROUP BY warehouse, GROUPING SETS((product, location), (product),
(location), ())` is equivalent to
+ `GROUP BY GROUPING SETS((warehouse, product, location), (warehouse,
product), (warehouse, location), (warehouse))`.
+ `GROUP BY warehouse, GROUPING SETS((product, location), (producet), ())`
is equivalent to
+ `GROUP BY GROUPING SETS((warehouse, product, location), (warehouse,
location), (warehouse))`.
+
+* **Concatenated Grouping Analytics**
Review comment:
Both `CUBE|ROLLUP` and `group_expression` can be translated to GROUPING
SETS under this context, then it's much easier to describe the semantic.
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