GROUP BY CUBE
GROUP BY CUBE
is an extension of the GROUP BY clause similar to GROUP BY ROLLUP. In addition to producing all the rows of a GROUP BY ROLLUP
, GROUP BY CUBE
adds all the "cross-tabulations" rows. Sub-total rows are rows that further aggregate whose values are derived by computing the same aggregate functions that were used to produce the grouped rows.
A CUBE
grouping is equivalent to a series of grouping sets and is essentially a shorter specification. The N elements of a CUBE specification correspond to 2^N GROUPING SETS
.
Syntax
SELECT ...
FROM ...
[ ... ]
GROUP BY CUBE ( groupCube [ , groupCube [ , ... ] ] )
[ ... ]
Where:
groupCube ::= { <column_alias> | <position> | <expr> }
-
<column_alias>
: Column alias appearing in the query block’s SELECT list -
<position>
: Position of an expression in the SELECT list -
<expr>
: Any expression on tables in the current scope
Examples
Let's assume we have a sales_data table with the following schema and sample data:
CREATE TABLE sales_data (
region VARCHAR(255),
product VARCHAR(255),
sales_amount INT
);
INSERT INTO sales_data (region, product, sales_amount) VALUES
('North', 'WidgetA', 200),
('North', 'WidgetB', 300),
('South', 'WidgetA', 400),
('South', 'WidgetB', 100),
('West', 'WidgetA', 300),
('West', 'WidgetB', 200);
Now, let's use the GROUP BY CUBE
clause to get the total sales amount for each region and product, along with all possible aggregations:
SELECT region, product, SUM(sales_amount) AS total_sales
FROM sales_data
GROUP BY CUBE (region, product);
The result will be:
+--------+---------+-------------+
| region | product | total_sales |
+--------+---------+-------------+
| South | NULL | 500 |
| NULL | WidgetB | 600 |
| West | NULL | 500 |
| North | NULL | 500 |
| West | WidgetB | 200 |
| NULL | NULL | 1500 |
| North | WidgetB | 300 |
| South | WidgetA | 400 |
| North | WidgetA | 200 |
| NULL | WidgetA | 900 |
| West | WidgetA | 300 |
| South | WidgetB | 100 |
+--------+---------+-------------+