Aggregate functions often need an added GROUP BY statement.
The GROUP BY statement is used in conjunction with the aggregate functions to group the result-set by one or more columns.
In this tutorial we will use the well-known Northwind sample database.
Below is a selection from the "Orders" table:
OrderID | CustomerID | EmployeeID | OrderDate | ShipperID |
---|---|---|---|---|
10248 | 90 | 5 | 1996-07-04 | 3 |
10249 | 81 | 6 | 1996-07-05 | 1 |
10250 | 34 | 4 | 1996-07-08 | 2 |
And a selection from the "Shippers" table:
ShipperID | ShipperName | Phone |
---|---|---|
1 | Speedy Express | (503) 555-9831 |
2 | United Package | (503) 555-3199 |
3 | Federal Shipping | (503) 555-9931 |
And a selection from the "Employees" table:
EmployeeID | LastName | FirstName | BirthDate | Photo | Notes |
---|---|---|---|---|---|
1 | Davolio | Nancy | 1968-12-08 | EmpID1.pic | Education includes a BA.... |
2 | Fuller | Andrew | 1952-02-19 | EmpID2.pic | Andrew received his BTS.... |
3 | Leverling | Janet | 1963-08-30 | EmpID3.pic | Janet has a BS degree.... |
Now we want to find the number of orders sent by each shipper.
The following SQL statement counts as orders grouped by shippers:
We can also use the GROUP BY statement on more than one column, like this: