The GROUP BY
statement groups rows that have the same values into summary rows, like "find the number of customers in each country".
The GROUP BY
statement is often used with aggregate functions (COUNT()
, MAX()
, MIN()
, SUM()
, AVG()
) to group the result-set by one or more columns.
SELECT
column_name(s)
FROM
table_name
WHERE
condition
GROUP BY
column_name(s)
ORDER BY
column_name(s);
Below is a selection from the "Customers" table in the Northwind sample database:
CustomerID | CustomerName | ContactName | Address | City | PostalCode | Country |
---|---|---|---|---|---|---|
1 |
Alfreds Futterkiste | Maria Anders | Obere Str. 57 | Berlin | 12209 | Germany |
2 | Ana Trujillo Emparedados y helados | Ana Trujillo | Avda. de la Constitución 2222 | México D.F. | 05021 | Mexico |
3 | Antonio Moreno Taquería | Antonio Moreno | Mataderos 2312 | México D.F. | 05023 | Mexico |
4 |
Around the Horn | Thomas Hardy | 120 Hanover Sq. | London | WA1 1DP | UK |
5 | Berglunds snabbköp | Christina Berglund | Berguvsvägen 8 | Luleå | S-958 22 | Sweden |
The following SQL statement lists the number of customers in each country:
The following SQL statement lists the number of customers in each country, sorted high to low:
SELECT COUNT(CustomerID), Country
FROM Customers
GROUP BY Country
ORDER BY COUNT(CustomerID) DESC;
Try it Yourself »
Below is a selection from the "Orders" table in the Northwind sample database:
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 |
---|---|
1 | Speedy Express |
2 | United Package |
3 | Federal Shipping |
The following SQL statement lists the number of orders sent by each shipper:
SELECT Shippers.ShipperName, COUNT(Orders.OrderID) AS NumberOfOrders FROM Orders
LEFT JOIN Shippers ON Orders.ShipperID = Shippers.ShipperID
GROUP BY ShipperName;
Try it Yourself »
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