2007.12.9 12:27 bruce:
Select
用途:
从指定表中取出指定的列的数据
语法:
SELECT column_name(s) FROM table_name
|
解释:
从数据库中选取资料列,并允许从一或多个资料表中,选取一或多个资料列或资料行。SELECT 陈述式的完整语法相当复杂,但主要子句可摘要为:
SELECT select_list
[ INTO new_table ]
FROM table_source
[ WHERE search_condition ]
[ GROUP BY group_by_expression ]
[ HAVING search_condition ]
[ ORDER BY order_expression [ ASC | DESC ] ]
例: “Persons” 表中的数据有
| LastName | FirstName | Address | City |
| Hansen | Ola | Timoteivn 10 | Sandnes |
| Svendson | Tove | Borgvn 23 | Sandnes |
| Pettersen | Kari | Storgt 20 | Stavanger |
选出字段名” LastName”、” FirstName” 的数据
SELECT LastName,FirstName FROM Persons
|
返回结果:
| LastName | FirstName |
| Hansen | Ola |
| Svendson | Tove |
| Pettersen | Kari |
选出所有字段的数据
SELECT * FROM Persons
|
返回结果:
| LastName | FirstName | Address | City |
| Hansen | Ola | Timoteivn 10 | Sandnes |
| Svendson | Tove | Borgvn 23 | Sandnes |
| Pettersen | Kari | Storgt 20 | Stavanger |
Where
用途:被用来规定一种选择查询的标准语法:
SELECT column FROM table WHERE column condition value
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下面的操作符能被使用在WHERE中:=,<>,>,<,>=,<=,BETWEEN,LIKE注意: 在某些SQL的版本中不等号< >能被写作为!=解释: SELECT语句返回WHERE子句中条件为true的数据例:从” Persons”表中选出生活在” Sandnes” 的人
SELECT * FROM Persons WHERE City=’Sandnes’
|
“Persons” 表中的数据有:
| LastName | FirstName | Address | City | Year |
| Hansen | Ola | Timoteivn 10 | Sandnes | 1951 |
| Svendson | Tove | Borgvn 23 | Sandnes | 1978 |
| Svendson | Stale | Kaivn 18 | Sandnes | 1980 |
| Pettersen | Kari | Storgt 20 | Stavanger | 1960 |
返回结果:
| LastName | FirstName | Address | City | Year |
| Hansen | Ola | Timoteivn 10 | Sandnes | 1951 |
| Svendson | Tove | Borgvn 23 | Sandnes | 1978 |
| Svendson | Stale | Kaivn 18 | Sandnes | 1980 |
And & Or
用途:在WHERE子句中AND和OR被用来连接两个或者更多的条件解释:AND在结合两个布尔表达式时,只有在两个表达式都为 TRUE 时才传回 TRUE OR在结合两个布尔表达式时,只要其中一个条件为 TRUE 时,OR便传回 TRUE例:
“Persons” 表中的原始数据:
| LastName | FirstName | Address | City |
| Hansen | Ola | Timoteivn 10 | Sandnes |
| Svendson | Tove | Borgvn 23 | Sandnes |
| Svendson | Stephen | Kaivn 18 | Sandnes |
用AND运算子来查找“Persons” 表中FirstName为”Tove”而且LastName为” Svendson”的数据
SELECT * FROM Persons
WHERE FirstName=’Tove’
AND LastName=’Svendson’
|
返回结果:
| LastName | FirstName | Address | City |
| Svendson | Tove | Borgvn 23 | Sandnes |
用OR运算子来查找“Persons” 表中FirstName为”Tove”或者LastName为” Svendson”的数据
SELECT * FROM Persons
WHERE firstname=’Tove’
OR lastname=’Svendson’
|
返回结果:
| LastName | FirstName | Address | City |
| Svendson | Tove | Borgvn 23 | Sandnes |
| Svendson | Stephen | Kaivn 18 | Sandnes |
你也能结合AND和OR (使用括号形成复杂的表达式),如:
SELECT * FROM Persons WHERE
(FirstName=’Tove’ OR FirstName=’Stephen’)
AND LastName=’Svendson’
|
返回结果:
| LastName | FirstName | Address | City |
| Svendson | Tove | Borgvn 23 | Sandnes |
| Svendson | Stephen | Kaivn 18 | Sandnes |
Between…And
用途:
指定需返回数据的范围
语法:
SELECT column_name FROM table_name
WHERE column_name
BETWEEN value1 AND value2
|
例:“Persons”表中的原始数据
| LastName | FirstName | Address | City |
| Hansen | Ola | Timoteivn 10 | Sandnes |
| Nordmann | Anna | Neset 18 | Sandnes |
| Pettersen | Kari | Storgt 20 | Stavanger |
| Svendson | Tove | Borgvn 23 | Sandnes |
用BETWEEN…AND返回LastName为从”Hansen”到”Pettersen”的数据:
SELECT * FROM Persons WHERE LastName
BETWEEN ‘Hansen’ AND ‘Pettersen’
|
返回结果:
| LastName | FirstName | Address | City |
| Hansen | Ola | Timoteivn 10 | Sandnes |
| Nordmann | Anna | Neset 18 | Sandnes |
| Pettersen | Kari | Storgt 20 | Stavanger |
为了显示指定范围之外的数据,也可以用NOT操作符:
SELECT * FROM Persons WHERE LastName
NOT BETWEEN ‘Hansen’ AND ‘Pettersen’
|
返回结果:
| LastName | FirstName | Address | City |
| Svendson | Tove | Borgvn 23 | Sandnes |
Distinct
用途:
DISTINCT关键字被用作返回唯一的值
语法:
SELECT DISTINCT column-name(s) FROM table-name
|
解释:
当column-name(s)中存在重复的值时,返回结果仅留下一个
例:“Orders”表中的原始数据
| Company | OrderNumber |
| Sega | 3412 |
| W3Schools | 2312 |
| Trio | 4678 |
| W3Schools | 6798 |
用DISTINCT关键字返回Company字段中唯一的值:
SELECT DISTINCT Company FROM Orders
|
返回结果:
| Company |
| Sega |
| W3Schools |
| Trio |
Order by
用途:
指定结果集的排序
语法:
SELECT column-name(s) FROM table-name ORDER BY { order_by_expression [ ASC | DESC ] } |
解释:
指定结果集的排序,可以按照ASC(递增方式排序,从最低值到最高值)或者DESC(递减方式排序,从最高值到最低值)的方式进行排序,默认的方式是ASC
例:“Orders”表中的原始数据:
| Company | OrderNumber |
| Sega | 3412 |
| ABC Shop | 5678 |
| W3Schools | 2312 |
| W3Schools | 6798 |
按照Company字段的升序方式返回结果集:
SELECT Company, OrderNumber FROM Orders
ORDER BY Company
|
返回结果:
| Company | OrderNumber |
| ABC Shop | 5678 |
| Sega | 3412 |
| W3Schools | 6798 |
| W3Schools | 2312 |
按照Company字段的降序方式返回结果集:
SELECT Company, OrderNumber FROM Orders
ORDER BY Company DESC
|
返回结果:
| Company | OrderNumber |
| W3Schools | 6798 |
| W3Schools | 2312 |
| Sega | 3412 |
| ABC Shop | 5678 |
Group by
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 |
Insert Into
用途:
在表中插入新行
语法:
插入一行数据
INSERT INTO table_name
VALUES (value1, value2,….)
|
插入一行数据在指定的字段上
INSERT INTO table_name (column1, column2,…)
VALUES (value1, value2,….)
|
例:“Persons”表中的原始数据:
| LastName | FirstName | Address | City |
| Pettersen | Kari | Storgt 20 | Stavanger |
运行下面的SQL插入一行数据:
INSERT INTO Persons
VALUES (’Hetland’, ‘Camilla’, ‘Hagabakka 24′, ‘Sandnes’)
|
插入后”Persons”表中的数据为:
| LastName | FirstName | Address | City |
| Pettersen | Kari | Storgt 20 | Stavanger |
| Hetland | Camilla | Hagabakka 24 | Sandnes |
运行下面的SQL插入一行数据在指定的字段上:
INSERT INTO Persons (LastName, Address)
VALUES (’Rasmussen’, ‘Storgt 67′)
|
插入后”Persons”表中的数据为:
| LastName | FirstName | Address | City |
| Pettersen | Kari | Storgt 20 | Stavanger |
| Hetland | Camilla | Hagabakka 24 |
