A GROUP BY
statement in SQL specifies that a SQL [[Select (SQL)|SELECT]]
statement partitions result rows into groups, based on their values in one or several columns. Typically, grouping is used to apply some sort of aggregate function for each group.[1] [2]
The result of a query using a GROUP BY
statement contains one row for each group. This implies constraints on the columns that can appear in the associated [[Select (SQL)|SELECT]]
clause. As a general rule, the [[Select (SQL)|SELECT]]
clause may only contain columns with a unique value per group. This includes columns that appear in the GROUP BY
clause as well as aggregates resulting in one value per group.[3]
Returns a list of Department IDs along with the sum of their sales for the date of January 1, 2000.
In the following example one can ask "How many units were sold in each region for every ship date?":
Sum of units | Ship date ▼ | ||||||
---|---|---|---|---|---|---|---|
Region ▼ | 2005-01-31 | 2005-02-28 | 2005-03-31 | 2005-04-30 | 2005-05-31 | 2005-06-30 | |
East | 66 | 80 | 102 | 116 | 127 | 125 | |
North | 96 | 117 | 138 | 151 | 154 | 156 | |
South | 123 | 141 | 157 | 178 | 191 | 202 | |
West | 78 | 97 | 117 | 136 | 150 | 157 | |
(blank) | |||||||
Grand total | 363 | 435 | 514 | 581 | 622 | 640 |
The following code returns the data of the above pivot table which answers the question "How many units were sold in each region for every ship date?":
Common grouping (aggregation) functions include: