SQL 别名(Aliases)
通过使用 SQL,可以为表名称或列名称指定别名(Alias)。
- SQL 别名用于为表或表中的列提供临时名称,数据库中的实际表名不会更改。
- SQL 别名通常用于使列名更具可读性。
- SQL 一个别名只存在于查询期间。
- 表别名的使用是在特定SQL语句中重命名表。
- 列别名用于为特定SQL查询重命名表的列。
列的 SQL Alias 语法
SELECT column_name AS alias_name FROM table_name;
WHERE [condition];
表的 SQL Alias 语法SELECT column_name(s)
FROM table_name AS alias_name;
WHERE [condition];
演示数据库
在本教程中,我们将使用著名的Northwind示例数据库。
以下是"Customers" 表中的数据:
CustomerID |
CustomerName |
ContactName |
Address |
City |
PostalCode |
Country |
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 |
下面是选自 "Orders" 表的数据:
OrderID |
CustomerID |
EmployeeID |
OrderDate |
ShipperID |
10354 |
58 |
8 |
1996-11-14 |
3 |
10355 |
4 |
6 |
1996-11-15 |
1 |
10356 |
86 |
6 |
1996-11-18 |
2 |
列的 Alias 实例
以下SQL语句创建两个别名,一个用于CustomerID列,另一个用于CustomerName列:
实例
SELECT CustomerID as ID, CustomerName AS Customer
FROM Customers;
以下SQL语句创建两个别名,一个用于CustomerName列,一个用于ContactName列。注:如果别名包含空格,则需要双引号或方括号:
实例
SELECT CustomerName AS Customer, ContactName AS [Contact Person]
FROM Customers;
以下SQL语句创建一个名为“Address”的别名,它包含四列(Address,PostalCode,City and Country): SELECT CustomerName, Address + ', ' + PostalCode + ', ' + City + ', ' + Country AS Address
FROM Customers;
注意:要使上面的SQL语句在MySQL中工作,请使用以下命令:
SELECT CustomerName, CONCAT(Address,', ',PostalCode,', ',City,', ',Country) AS Address
FROM Customers;
表的 Alias 实例
以下SQL语句选择CustomerID = 4(“围绕角”)的所有订单。我们使用“Customers”和“Orders”表,给它们分别为“c”和“o”的表别名(这里我们使用别名来使SQL更短):
实例
SELECT o.OrderID, o.OrderDate, c.CustomerName
FROM Customers AS c, Orders AS o
WHERE c.CustomerName="Around the Horn" AND c.CustomerID=o.CustomerID;
以下SQL语句与上述相同,但没有别名:
实例
SELECT Orders.OrderID, Orders.OrderDate, Customers.CustomerName
FROM Customers, Orders
WHERE Customers.CustomerName="Around the Horn" AND Customers.CustomerID=Orders.CustomerID;
在下列情况下使用别名是有用的:
-
查询涉及多个表
-
用于查询函数
-
需要把两个或更多的列放在一起
-
列名长或可读性差
示例
考虑下面两个数据表: (a)CUSTOMERS 表,如下: +----+----------+-----+-----------+----------+
| ID | NAME | AGE | ADDRESS | SALARY |
+----+----------+-----+-----------+----------+
| 1 | Ramesh | 32 | Ahmedabad | 2000.00 |
| 2 | Khilan | 25 | Delhi | 1500.00 |
| 3 | kaushik | 23 | Kota | 2000.00 |
| 4 | Chaitali | 25 | Mumbai | 6500.00 |
| 5 | Hardik | 27 | Bhopal | 8500.00 |
| 6 | Komal | 22 | MP | 4500.00 |
| 7 | Muffy | 24 | Indore | 10000.00 |
+----+----------+-----+-----------+----------+
(b)另一个是 ORDERS 表,如下所示: +-----+---------------------+-------------+--------+
|OID | DATE | CUSTOMER_ID | AMOUNT |
+-----+---------------------+-------------+--------+
| 102 | 2009-10-08 00:00:00 | 3 | 3000 |
| 100 | 2009-10-08 00:00:00 | 3 | 1500 |
| 101 | 2009-11-20 00:00:00 | 2 | 1560 |
| 103 | 2008-05-20 00:00:00 | 4 | 2060 |
+-----+---------------------+-------------+--------+
下面是表别名的用法: SQL> SELECT C.ID, C.NAME, C.AGE, O.AMOUNT
FROM CUSTOMERS AS C, ORDERS AS O
WHERE C.ID = O.CUSTOMER_ID;
上面语句的运行结果如下所示: +----+----------+-----+--------+
| ID | NAME | AGE | AMOUNT |
+----+----------+-----+--------+
| 3 | kaushik | 23 | 3000 |
| 3 | kaushik | 23 | 1500 |
| 2 | Khilan | 25 | 1560 |
| 4 | Chaitali | 25 | 2060 |
+----+----------+-----+--------+
下面是列别名的用法: SQL> SELECT ID AS CUSTOMER_ID, NAME AS CUSTOMER_NAME
FROM CUSTOMERS
WHERE SALARY IS NOT NULL;
其运行结果如下所示: +-------------+---------------+
| CUSTOMER_ID | CUSTOMER_NAME |
+-------------+---------------+
| 1 | Ramesh |
| 2 | Khilan |
| 3 | kaushik |
| 4 | Chaitali |
| 5 | Hardik |
| 6 | Komal |
| 7 | Muffy |
+-------------+---------------+
|
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