SQL语法手册(二)
用途:
对结果集进行分组,常与汇总函数一起使用。
语法:
SELECT column,SUM(column) FROM table GROUP BY column
|
例:
“Sales”表中的原始数据:
|
Company |
Amount |
|
W3Schools |
5500 |
|
IBM |
4500 |
|
W3Schools |
7100 |
按照Company字段进行分组,求出每个Company的Amout的合计:
SELECT Company,SUM(Amount) FROM Sales
GROUP BY Company
|
返回结果:
|
Company |
SUM(Amount) |
|
W3Schools |
12600 |
|
IBM |
4500 |
Having
用途:
指定群组或汇总的搜寻条件。
语法:
SELECT column,SUM(column) FROM table
GROUP BY column
HAVING SUM(column) condition value
|
解释:
HAVING 通常与 GROUP BY 子句同时使用。不使用 GROUP BY 时,HAVING 则与 WHERE 子句功能相似。
例:
“Sales”表中的原始数据:
|
Company |
Amount |
|
W3Schools |
5500 |
|
IBM |
4500 |
|
W3Schools |
7100 |
按照Company字段进行分组,求出每个Company的Amout的合计在10000以上的数据:
SELECT Company,SUM(Amount) FROM Sales
GROUP BY Company HAVING SUM(Amount)>10000
|
返回结果:
|
Company |
SUM(Amount) |
|
W3Schools |
12600 |
Join
用途:
当你要从两个或者以上的表中选取结果集时,你就会用到JOIN。
例:
“Employees”表中的数据如下,(其中ID为主键):
|
ID |
Name |
|
01 |
Hansen, Ola |
|
02 |
Svendson, Tove |
|
03 |
Svendson, Stephen |
|
04 |
Pettersen, Kari |
“Orders”表中的数据如下:
|
ID |
Product |
|
01 |
Printer |
|
03 |
Table |
|
03 |
Chair |
用Employees的ID和Orders的ID相关联选取数据:
SELECT Employees.Name, Orders.Product
FROM Employees, Orders
WHERE Employees.ID = Orders.ID
|
返回结果:
|
Name |
Product |
|
Hansen, Ola |
Printer |
|
Svendson, Stephen |
Table |
|
Svendson, Stephen |
Chair |
或者你也可以用JOIN关键字来完成上面的操作:
SELECT Employees.Name, Orders.Product
FROM Employees
INNER JOIN Orders
ON Employees.ID = Orders.ID
|
INNER JOIN的语法:
SELECT field1, field2, field3
FROM first_table
INNER JOIN second_table
ON first_table.keyfield = second_table.foreign_keyfield
|
解释:
INNER JOIN返回的结果集是两个表中所有相匹配的数据。
LEFT JOIN的语法:
SELECT field1, field2, field3
FROM first_table
LEFT JOIN second_table
ON first_table.keyfield = second_table.foreign_keyfield
|
用”Employees”表去左外联结”Orders”表去找出相关数据:
SELECT Employees.Name, Orders.Product
FROM Employees
LEFT JOIN Orders
ON Employees.ID = Orders.ID
|
返回结果:
|
Name |
Product |
|
Hansen, Ola |
Printer |
|
Svendson, Tove |
|
|
Svendson, Stephen |
Table |
|
Svendson, Stephen |
Chair |
|
Pettersen, Kari |
|
解释:
LEFT JOIN返回”first_table”中所有的行尽管在” second_table”中没有相匹配的数据。
RIGHT JOIN的语法:
SELECT field1, field2, field3
FROM first_table
RIGHT JOIN second_table
ON first_table.keyfield = second_table.foreign_keyfield
|
用”Employees”表去右外联结”Orders”表去找出相关数据:
SELECT Employees.Name, Orders.Product
FROM Employees
RIGHT JOIN Orders
ON Employees.ID = Orders.ID
|
返回结果:
|
Name |
Product |
|
Hansen, Ola |
Printer |
|
Svendson, Stephen |
Table |
|
Svendson, Stephen |
Chair |
解释:
RIGHT JOIN返回” second_table”中所有的行尽管在”first_table”中没有相匹配的数据。
Alias
用途:
可用在表、结果集或者列上,为它们取一个逻辑名称
语法:
给列取别名:
SELECT column AS column_alias FROM table
|
给表取别名:
SELECT column FROM table AS table_alias
|
例:
“Persons”表中的原始数据:
|
LastName |
FirstName |
Address |
City |
|
Hansen |
Ola |
Timoteivn 10 |
Sandnes |
|
Svendson |
Tove |
Borgvn 23 |
Sandnes |
|
Pettersen |
Kari |
Storgt 20 |
Stavanger |
运行下面的SQL:
SELECT LastName AS Family, FirstName AS Name
FROM Persons
|
返回结果:
|
Family |
Name |
|
Hansen |
Ola |
|
Svendson |
Tove |
|
Pettersen |
Kari |
运行下面的SQL:
SELECT LastName, FirstName
FROM Persons AS Employees
|
返回结果:
Employees中的数据有:
|
LastName |
FirstName |
|
Hansen |
Ola |
|
Svendson |
Tove |
|
Pettersen |
Kari |

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