MySql之SQL语句学习笔记(二)

文章摘要:
1、JOIN / INNER JOIN 内连接
2、LEFT JOIN 关键字 左连接
3、RIGHT JOIN 关键字 右连接
4、FULL JOIN 关键字 全连接
5、UNION 和 UNION ALL 操作符


ps:案例数据库数据:

mysql> select * from Persons;
+------+----------+-----------+----------------+----------+
| Id_P | LastName | FirstName | Address        | City     |
+------+----------+-----------+----------------+----------+
|    1 | Aaa      | John      | Oxford Street  | London   |
|    2 | Bush     | George    | Fifth Avenue   | New York |
|    3 | Carter   | Thomas    | Changan Street | Beijing  |
|    4 | Carter   | George    | xford Street   | London   |
|    6 | Gates    | Bill      | Xuanwumen 10   | Beijing  |
|    9 | Wilson   | Fred      | Champs-Elysees | NULL     |
+------+----------+-----------+----------------+----------+
6 rows in set (0.00 sec)

mysql> select * from Orders;
+------+---------+-------------+------+
| Id_O | Company | OrderNumber | Id_p |
+------+---------+-------------+------+
|    1 | IBM     | 3532        | 1    |
|    2 | Baidu   | 2356        | NULL |
|    3 | Ali     | 6534        | 4    |
|    4 | Apple   | 4698        | 2    |
|    5 | Tencent | 6953        | 5    |
|    6 | Xiaomi  | 7890        | 4    |
|    7 | LeEco   | 2876        | 9    |
|    8 | JD      | 3847        | 6    |
+------+---------+-------------+------+
8 rows in set (0.00 sec)

1、JOIN / INNER JOIN 内连接

用于根据两个或多个表中的列之间的关系,从这些表中查询数据。

有时为了得到完整的结果,我们需要从两个或更多的表中获取结果。我们就需要执行 join。
数据库中的表可通过键将彼此联系起来。主键(Primary Key)是一个列,在这个列中的每一行的值都是唯一的。在表中,每个主键的值都是唯一的。这样做的目的是在不重复每个表中的所有数据的情况下,把表间的数据交叉捆绑在一起。

  • 案例:如下两种方式 等同。
-- 联表查询
SELECT Persons.LastName, Persons.FirstName, Orders.OrderNumber
FROM Persons, Orders
WHERE Persons.Id_P = Orders.Id_P;

-- 使用JOIN
SELECT Persons.LastName, Persons.FirstName, Orders.OrderNumber
FROM Persons
JOIN Orders
ON Persons.Id_P = Orders.Id_P;

+----------+-----------+-------------+
| LastName | FirstName | OrderNumber |
+----------+-----------+-------------+
| Aaa      | John      | 3532        |
| Carter   | George    | 6534        |
| Bush     | George    | 4698        |
| Carter   | George    | 7890        |
| Wilson   | Fred      | 2876        |
| Gates    | Bill      | 3847        |
+----------+-----------+-------------+
6 rows in set (0.00 sec)

备注:关于JOIN

JOIN: 如果表中有至少一个匹配,则返回行
LEFT JOIN: 即使右表中没有匹配,也从左表返回所有的行
RIGHT JOIN: 即使左表中没有匹配,也从右表返回所有的行
FULL JOIN: 只要其中一个表中存在匹配,就返回行。

2、LEFT JOIN 关键字 左连接

LEFT JOIN 关键字会从左表 (table_name1) 那里返回所有的行,即使在右表 (table_name2) 中没有匹配的行。

  • LEFT JOIN 关键字语法
SELECT column_name(s)FROM table_name1 LEFT JOIN table_name2 
ON table_name1.column_name=table_name2.column_name;

注释:在某些数据库中, LEFT JOIN 称为 LEFT OUTER JOIN。
  • 案例
mysql> SELECT Persons.LastName, Persons.FirstName, Orders.OrderNumber
    -> FROM Persons
    -> LEFT JOIN Orders
    -> ON Persons.Id_P=Orders.Id_P
    -> ORDER BY Persons.LastName;
+----------+-----------+-------------+
| LastName | FirstName | OrderNumber |
+----------+-----------+-------------+
| Aaa      | John      | 3532        |
| Bush     | George    | 4698        |
| Carter   | George    | 6534        |
| Carter   | George    | 7890        |
| Carter   | Thomas    | NULL        |
| Gates    | Bill      | 3847        |
| Wilson   | Fred      | 2876        |
+----------+-----------+-------------+
7 rows in set (0.00 sec)

3、RIGHT JOIN 关键字 右连接

RIGHT JOIN 关键字会右表 (table_name2) 那里返回所有的行,即使在左表 (table_name1) 中没有匹配的行。

  • RIGHT JOIN 关键字语法
SELECT column_name(s)FROM table_name1RIGHT JOIN table_name2 
ON table_name1.column_name=table_name2.column_name;

注释:在某些数据库中, RIGHT JOIN 称为 RIGHT OUTER JOIN。
  • 案例
mysql> SELECT Persons.LastName, Persons.FirstName, Orders.OrderNumber
    -> FROM Persons
    -> RIGHT JOIN Orders
    -> ON Persons.Id_P=Orders.Id_P
    -> ORDER BY Persons.LastName;
+----------+-----------+-------------+
| LastName | FirstName | OrderNumber |
+----------+-----------+-------------+
| NULL     | NULL      | 2356        |
| NULL     | NULL      | 6953        |
| Aaa      | John      | 3532        |
| Bush     | George    | 4698        |
| Carter   | George    | 6534        |
| Carter   | George    | 7890        |
| Gates    | Bill      | 3847        |
| Wilson   | Fred      | 2876        |
+----------+-----------+-------------+
8 rows in set (0.00 sec)

4、FULL JOIN 关键字 全连接

只要其中某个表存在匹配,FULL JOIN 关键字就会返回行。

  • FULL JOIN 关键字语法
SELECT column_name(s)FROM table_name1FULL JOIN table_name2 
ON table_name1.column_name=table_name2.column_name;

注释:在某些数据库中, FULL JOIN 称为 FULL OUTER JOIN。
  • 注意:MySql不支持FULL JOIN ,执行FULL JOIN 等同于 JOIN。

5、UNION 和 UNION ALL 操作符

UNION 操作符用于合并两个或多个 SELECT 语句的结果集。
请注意,UNION 内部的 SELECT 语句必须拥有相同数量的列。列也必须拥有相似的数据类型。同时,每条 SELECT 语句中的列的顺序必须相同。

  • SQL UNION 语法:
SELECT column_name(s) FROM table_name1UNIONSELECT column_name(s) FROM table_name2

注释:默认地,UNION 操作符选取不同的值。如果允许重复的值,请使用 UNION ALL。

SELECT column_name(s) FROM table_name1UNION ALLSELECT column_name(s) FROM table_name2

另外,UNION 结果集中的列名总是等于 UNION 中第一个 SELECT 语句中的列名。

mysql> SELECT * FROM test.Persons where City like 'L%';
+------+----------+-----------+---------------+--------+
| Id_P | LastName | FirstName | Address       | City   |
+------+----------+-----------+---------------+--------+
|    1 | Aaa      | John      | Oxford Street | London |
|    4 | Carter   | George    | xford Street  | London |
+------+----------+-----------+---------------+--------+
2 rows in set (0.00 sec)

mysql> SELECT * FROM test.Persons where City regexp '^b';
+------+----------+-----------+----------------+---------+
| Id_P | LastName | FirstName | Address        | City    |
+------+----------+-----------+----------------+---------+
|    3 | Carter   | Thomas    | Changan Street | Beijing |
|    6 | Gates    | Bill      | Xuanwumen 10   | Beijing |
+------+----------+-----------+----------------+---------+
2 rows in set (0.00 sec)

mysql> SELECT * FROM test.Persons where City like 'L%' union SELECT * FROM test.Persons where City regexp '^b';
+------+----------+-----------+----------------+---------+
| Id_P | LastName | FirstName | Address        | City    |
+------+----------+-----------+----------------+---------+
|    1 | Aaa      | John      | Oxford Street  | London  |
|    4 | Carter   | George    | xford Street   | London  |
|    3 | Carter   | Thomas    | Changan Street | Beijing |
|    6 | Gates    | Bill      | Xuanwumen 10   | Beijing |
+------+----------+-----------+----------------+---------+
4 rows in set (0.01 sec)

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