cloud-fan commented on a change in pull request #30144:
URL: https://github.com/apache/spark/pull/30144#discussion_r610459759
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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:
I think we can combine these 2 new sections:
```
* **Mixed Grouping Analytics**
A GROUP BY clause can include multiple `group_expression`s and multiple
`CUBE|ROLLUP|GROUPING SETS`s.
`CUBE|ROLLUP` is just a syntax sugar for `GROUPING SETS`, please refer to
the sections above for
how to translate `CUBE|ROLLUP` to `GROUPING SETS`. `group_expression` can be
treated as a single-group
`GROUPING SETS` under this context. For multiple `GROUPING SETS` in the
`GROUP BY` clause, we generate
a single `GROUPING SETS` by doing a cross-product of the original `GROUPING
SETS`s. For example, ...
```
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