MYSQL表的连接查询回顾

连接查询回顾

在实际开发中,大部分的情况下都不是从单表中查询数据,一般都是多张表联合查询取出最终的结果。

连接查询的分类?

根据语法出现的年代来划分的话,包括:
SQL92(一些老的DBA可能还在使用这种语法。DBA:DataBase Administrator,数据库管理员)
SQL99(比较新的语法)

根据表的连接方式来划分,包括:
内连接:
1.等值连接
2.非等值连接
3.自连接
外连接:
1.左外连接(左连接)
2.右外连接(右连接)
全连接 (几乎不用)

笛卡尔积现象

在表的连接查询方面有一种现象被称为:笛卡尔积现象。(笛卡尔乘积现象)

案例:找出每一个员工的部门名称,要求显示员工名和部门名。

EMP表
+--------+--------+
| ename  | deptno |
+--------+--------+
| SMITH  |     20 |
| ALLEN  |     30 |
| WARD   |     30 |
| JONES  |     20 |
| MARTIN |     30 |
| BLAKE  |     30 |
| CLARK  |     10 |
| SCOTT  |     20 |
| KING   |     10 |
| TURNER |     30 |
| ADAMS  |     20 |
| JAMES  |     30 |
| FORD   |     20 |
| MILLER |     10 |
+--------+--------+
DEPT表
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+

select ename,dname from emp,dept;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | ACCOUNTING |
| SMITH  | RESEARCH   |
| SMITH  | SALES      |
| SMITH  | OPERATIONS |
| ALLEN  | ACCOUNTING |
| ALLEN  | RESEARCH   |
| ALLEN  | SALES      |
| ALLEN  | OPERATIONS |
............
56 rows in set (0.00 sec)

笛卡尔积现象:当两张表进行连接查询的时候,没有任何条件进行限制,最终的查询结果条数是两张表记录条数的乘积。

关于表的别名:
select e.ename,d.dname from emp e,dept d;
表的别名有什么好处?

  • 第一:执行效率高。
  • 第二:可读性好。

怎么避免笛卡尔积现象?当然是加条件进行过滤。

思考:避免了笛卡尔积现象,会减少记录的匹配次数吗? 不会,次数还是56次。只不过显示的是有效记录。

案例:找出每一个员工的部门名称,要求显示员工名和部门名。

	select	
		e.ename,d.dname
	from
		emp e , dept d
	where
		e.deptno = d.deptno; //SQL92,以后不用。

	+--------+------------+
	| ename  | dname      |
	+--------+------------+
	| CLARK  | ACCOUNTING |
	| KING   | ACCOUNTING |
	| MILLER | ACCOUNTING |
	| SMITH  | RESEARCH   |
	| JONES  | RESEARCH   |
	| SCOTT  | RESEARCH   |
	| ADAMS  | RESEARCH   |
	| FORD   | RESEARCH   |
	| ALLEN  | SALES      |
	| WARD   | SALES      |
	| MARTIN | SALES      |
	| BLAKE  | SALES      |
	| TURNER | SALES      |
	| JAMES  | SALES      |
	+--------+------------+

内连接

等值连接

最大特点是:条件是等量关系。

案例:案例:查询每个员工的部门名称,要求显示员工名和部门名。

SQL92:(太老,不用了)
	select 
		e.ename,d.dname
	from
		emp e, dept d
	where
		e.deptno = d.deptno;

SQL99:(常用的)
	select 
		e.ename,d.dname
	from
		emp e
	join
		dept d
	on
		e.deptno = d.deptno;

// inner可以省略的,带着inner目的是可读性好一些。
select 
	e.ename,d.dname
from
	emp e
inner join
	dept d
on
	e.deptno = d.deptno;

语法:
	...
		A
	join
		B
	on
		连接条件
	where
		...

SQL99语法结构更清晰一些:表的连接条件和后来的where条件分离了。

+--------+------------+
| ename  | dname      |
+--------+------------+
| CLARK  | ACCOUNTING |
| KING   | ACCOUNTING |
| MILLER | ACCOUNTING |
| SMITH  | RESEARCH   |
| JONES  | RESEARCH   |
| SCOTT  | RESEARCH   |
| ADAMS  | RESEARCH   |
| FORD   | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| TURNER | SALES      |
| JAMES  | SALES      |
+--------+------------+

非等值连接

案例:找出每个员工的工资等级,要求显示员工名、工资、工资等级。

mysql> select ename,sal from emp; e
+--------+---------+
| ename  | sal     |
+--------+---------+
| SMITH  |  800.00 |
| ALLEN  | 1600.00 |
| WARD   | 1250.00 |
| JONES  | 2975.00 |
| MARTIN | 1250.00 |
| BLAKE  | 2850.00 |
| CLARK  | 2450.00 |
| SCOTT  | 3000.00 |
| KING   | 5000.00 |
| TURNER | 1500.00 |
| ADAMS  | 1100.00 |
| JAMES  |  950.00 |
| FORD   | 3000.00 |
| MILLER | 1300.00 |
+--------+---------+

mysql> select * from salgrade; s
+-------+-------+-------+ 
| GRADE | LOSAL | HISAL |
+-------+-------+-------+
|     1 |   700 |  1200 |
|     2 |  1201 |  1400 |
|     3 |  1401 |  2000 |
|     4 |  2001 |  3000 |
|     5 |  3001 |  9999 |
+-------+-------+-------+

select 
	e.ename,e.sal,s.grade
from
	emp e
join
	salgrade s
on
	e.sal between s.losal and s.hisal;

// inner可以省略
select 
	e.ename,e.sal,s.grade
from
	emp e
inner join
	salgrade s
on
	e.sal between s.losal and s.hisal;

+--------+---------+-------+
| ename  | sal     | grade |
+--------+---------+-------+
| SMITH  |  800.00 |     1 |
| ALLEN  | 1600.00 |     3 |
| WARD   | 1250.00 |     2 |
| JONES  | 2975.00 |     4 |
| MARTIN | 1250.00 |     2 |
| BLAKE  | 2850.00 |     4 |
| CLARK  | 2450.00 |     4 |
| SCOTT  | 3000.00 |     4 |
| KING   | 5000.00 |     5 |
| TURNER | 1500.00 |     3 |
| ADAMS  | 1100.00 |     1 |
| JAMES  |  950.00 |     1 |
| FORD   | 3000.00 |     4 |
| MILLER | 1300.00 |     2 |
+--------+---------+-------+

自连接

最大的特点是:一张表看做两张表。自己连接自己。

案例:找出每个员工的上级领导,要求显示员工名和对应的领导名

mysql> select empno,ename,mgr from emp;
emp a 员工表
+-------+--------+------+
| empno | ename  | mgr  |
+-------+--------+------+
|  7369 | SMITH  | 7902 |
|  7499 | ALLEN  | 7698 |
|  7521 | WARD   | 7698 |
|  7566 | JONES  | 7839 |
|  7654 | MARTIN | 7698 |
|  7698 | BLAKE  | 7839 |
|  7782 | CLARK  | 7839 |
|  7788 | SCOTT  | 7566 |
|  7839 | KING   | NULL |
|  7844 | TURNER | 7698 |
|  7876 | ADAMS  | 7788 |
|  7900 | JAMES  | 7698 |
|  7902 | FORD   | 7566 |
|  7934 | MILLER | 7782 |
+-------+--------+------+
emp b 领导表
+-------+--------+
| empno | ename  |
+-------+--------+
|  7566 | JONES  |
|  7698 | BLAKE  |
|  7782 | CLARK  |
|  7788 | SCOTT  |
|  7839 | KING   |
|  7902 | FORD   |
+-------+--------+

员工的领导编号 = 领导的员工编号

select 
	a.ename as '员工名',b.ename as '领导名'
from
	emp a
inner join
	emp b
on
	a.mgr = b.empno;

+--------+--------+
| 员工名 | 领导名 |
+--------+--------+
| SMITH  | FORD   |
| ALLEN  | BLAKE  |
| WARD   | BLAKE  |
| JONES  | KING   |
| MARTIN | BLAKE  |
| BLAKE  | KING   |
| CLARK  | KING   |
| SCOTT  | JONES  |
| TURNER | BLAKE  |
| ADAMS  | SCOTT  |
| JAMES  | BLAKE  |
| FORD   | JONES  |
| MILLER | CLARK  |
+--------+--------+

但查出来没有king,因为king是大boss,没有上级,做自连接时先两表匹配,匹配不上就丢弃,但外连接可以避免。

外连接

什么是外连接,和内连接有什么区别?

内连接:

  1. 假设A和B表进行连接,使用内连接的话,凡是A表和B表能够匹配上的记录查询出来,这就是内连接。
  2. AB两张表没有主副之分,两张表是平等的。

外连接:假设A和B表进行连接,使用外连接的话,AB两张表中有一张表是主表,一张表是副表,主要查询主表中的数据,捎带着查询副表,当副表中的数据没有和主表中的数据匹配上,副表自动模拟出NULL与之匹配。

外连接的分类?

  • 左外连接(左连接):表示左边的这张表是主表。

  • 右外连接(右连接):表示右边的这张表是主表。

  • 左连接有右连接的写法,右连接也会有对应的左连接的写法。

案例:找出每个员工的上级领导?(所有员工必须全部查询出来)

emp a 员工表
+-------+--------+------+
| empno | ename  | mgr  |
+-------+--------+------+
|  7369 | SMITH  | 7902 |
|  7499 | ALLEN  | 7698 |
|  7521 | WARD   | 7698 |
|  7566 | JONES  | 7839 |
|  7654 | MARTIN | 7698 |
|  7698 | BLAKE  | 7839 |
|  7782 | CLARK  | 7839 |
|  7788 | SCOTT  | 7566 |
|  7839 | KING   | NULL |
|  7844 | TURNER | 7698 |
|  7876 | ADAMS  | 7788 |
|  7900 | JAMES  | 7698 |
|  7902 | FORD   | 7566 |
|  7934 | MILLER | 7782 |
+-------+--------+------+
emp b 领导表
+-------+--------+
| empno | ename  |
+-------+--------+
|  7566 | JONES  |
|  7698 | BLAKE  |
|  7782 | CLARK  |
|  7788 | SCOTT  |
|  7839 | KING   |
|  7902 | FORD   |
+-------+--------+

# 内连接:
	select 
		a.ename '员工', b.ename '领导'
	from
		emp a
	join
		emp b
	on
		a.mgr = b.empno;

# 外连接:(左外连接/左连接)
select 
	a.ename '员工', b.ename '领导'
from
	emp a
left join
	emp b
on
	a.mgr = b.empno;

// outer是可以省略的。
select 
	a.ename '员工', b.ename '领导'
from
	emp a
left outer join
	emp b
on
	a.mgr = b.empno;

# 外连接:(右外连接/右连接)
select 
	a.ename '员工', b.ename '领导'
from
	emp b
right join
	emp a
on
	a.mgr = b.empno;

// outer可以省略。
select 
	a.ename '员工', b.ename '领导'
from
	emp b
right outer join
	emp a
on
	a.mgr = b.empno;

+--------+-------+
| 员工      | 领导    |
+--------+-------+
| SMITH  | FORD  |
| ALLEN  | BLAKE |
| WARD   | BLAKE |
| JONES  | KING  |
| MARTIN | BLAKE |
| BLAKE  | KING  |
| CLARK  | KING  |
| SCOTT  | JONES |
| KING   | NULL  |
| TURNER | BLAKE |
| ADAMS  | SCOTT |
| JAMES  | BLAKE |
| FORD   | JONES |
| MILLER | CLARK |
+--------+-------+

外连接最重要的特点是:主表的数据无条件的全部查询出来。

案例:找出哪个部门没有员工?


EMP表
+-------+--------+-----------+------+------------+---------+---------+--------+
| EMPNO | ENAME  | JOB       | MGR  | HIREDATE   | SAL     | COMM    | DEPTNO |
+-------+--------+-----------+------+------------+---------+---------+--------+
|  7369 | SMITH  | CLERK     | 7902 | 1980-12-17 |  800.00 |    NULL |     20 |
|  7499 | ALLEN  | SALESMAN  | 7698 | 1981-02-20 | 1600.00 |  300.00 |     30 |
|  7521 | WARD   | SALESMAN  | 7698 | 1981-02-22 | 1250.00 |  500.00 |     30 |
|  7566 | JONES  | MANAGER   | 7839 | 1981-04-02 | 2975.00 |    NULL |     20 |
|  7654 | MARTIN | SALESMAN  | 7698 | 1981-09-28 | 1250.00 | 1400.00 |     30 |
|  7698 | BLAKE  | MANAGER   | 7839 | 1981-05-01 | 2850.00 |    NULL |     30 |
|  7782 | CLARK  | MANAGER   | 7839 | 1981-06-09 | 2450.00 |    NULL |     10 |
|  7788 | SCOTT  | ANALYST   | 7566 | 1987-04-19 | 3000.00 |    NULL |     20 |
|  7839 | KING   | PRESIDENT | NULL | 1981-11-17 | 5000.00 |    NULL |     10 |
|  7844 | TURNER | SALESMAN  | 7698 | 1981-09-08 | 1500.00 |    0.00 |     30 |
|  7876 | ADAMS  | CLERK     | 7788 | 1987-05-23 | 1100.00 |    NULL |     20 |
|  7900 | JAMES  | CLERK     | 7698 | 1981-12-03 |  950.00 |    NULL |     30 |
|  7902 | FORD   | ANALYST   | 7566 | 1981-12-03 | 3000.00 |    NULL |     20 |
|  7934 | MILLER | CLERK     | 7782 | 1982-01-23 | 1300.00 |    NULL |     10 |
+-------+--------+-----------+------+------------+---------+---------+--------+
DEPT
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+

select 
	d.*
from
	emp e
right join
	dept d
on
	e.deptno = d.deptno
where
	e.empno is null;

+--------+------------+--------+
| DEPTNO | DNAME      | LOC    |
+--------+------------+--------+
|     40 | OPERATIONS | BOSTON |
+--------+------------+--------+

三张表怎么连接查询?

案例:案例:找出每一个员工的部门名称以及工资等级。

EMP e
±------±-------±--------±-------+
| empno | ename | sal | deptno |
±------±-------±--------±-------+
| 7369 | SMITH | 800.00 | 20 |
| 7499 | ALLEN | 1600.00 | 30 |
| 7521 | WARD | 1250.00 | 30 |
| 7566 | JONES | 2975.00 | 20 |
| 7654 | MARTIN | 1250.00 | 30 |
| 7698 | BLAKE | 2850.00 | 30 |
| 7782 | CLARK | 2450.00 | 10 |
| 7788 | SCOTT | 3000.00 | 20 |
| 7839 | KING | 5000.00 | 10 |
| 7844 | TURNER | 1500.00 | 30 |
| 7876 | ADAMS | 1100.00 | 20 |
| 7900 | JAMES | 950.00 | 30 |
| 7902 | FORD | 3000.00 | 20 |
| 7934 | MILLER | 1300.00 | 10 |
±------±-------±--------±-------+
DEPT d
±-------±-----------±---------+
| DEPTNO | DNAME | LOC |
±-------±-----------±---------+
| 10 | ACCOUNTING | NEW YORK |
| 20 | RESEARCH | DALLAS |
| 30 | SALES | CHICAGO |
| 40 | OPERATIONS | BOSTON |
±-------±-----------±---------+
SALGRADE s
±------±------±------+
| GRADE | LOSAL | HISAL |
±------±------±------+
| 1 | 700 | 1200 |
| 2 | 1201 | 1400 |
| 3 | 1401 | 2000 |
| 4 | 2001 | 3000 |
| 5 | 3001 | 9999 |
±------±------±------+
————————————————
注意,解释一下:
	....
		A
	join
		B
	join
		C
	on
		...
	
表示:A表和B表先进行表连接,连接之后A表继续和C表进行连接。

select 
	e.ename,d.dname,s.grade
from
	emp e
join
	dept d
on
	e.deptno = d.deptno
join
	salgrade s
on
	e.sal between s.losal and s.hisal;

+--------+------------+-------+
| ename  | dname      | grade |
+--------+------------+-------+
| SMITH  | RESEARCH   |     1 |
| ALLEN  | SALES      |     3 |
| WARD   | SALES      |     2 |
| JONES  | RESEARCH   |     4 |
| MARTIN | SALES      |     2 |
| BLAKE  | SALES      |     4 |
| CLARK  | ACCOUNTING |     4 |
| SCOTT  | RESEARCH   |     4 |
| KING   | ACCOUNTING |     5 |
| TURNER | SALES      |     3 |
| ADAMS  | RESEARCH   |     1 |
| JAMES  | SALES      |     1 |
| FORD   | RESEARCH   |     4 |
| MILLER | ACCOUNTING |     2 |
+--------+------------+-------+


案例:找出每一个员工的部门名称、工资等级、以及上级领导。

	select 
		e.ename '员工',d.dname,s.grade,e1.ename '领导'
	from
		emp e
	join
		dept d
	on
		e.deptno = d.deptno
	join
		salgrade s
	on
		e.sal between s.losal and s.hisal
	left join
		emp e1
	on
		e.mgr = e1.empno;

+--------+------------+-------+-------+
| 员工      | dname      | grade | 领导    |
+--------+------------+-------+-------+
| SMITH  | RESEARCH   |     1 | FORD  |
| ALLEN  | SALES      |     3 | BLAKE |
| WARD   | SALES      |     2 | BLAKE |
| JONES  | RESEARCH   |     4 | KING  |
| MARTIN | SALES      |     2 | BLAKE |
| BLAKE  | SALES      |     4 | KING  |
| CLARK  | ACCOUNTING |     4 | KING  |
| SCOTT  | RESEARCH   |     4 | JONES |
| KING   | ACCOUNTING |     5 | NULL  |
| TURNER | SALES      |     3 | BLAKE |
| ADAMS  | RESEARCH   |     1 | SCOTT |
| JAMES  | SALES      |     1 | BLAKE |
| FORD   | RESEARCH   |     4 | JONES |
| MILLER | ACCOUNTING |     2 | CLARK |
+--------+------------+-------+-------+

posted @ 2021-07-02 22:53  pxlsdz  阅读(39)  评论(0编辑  收藏  举报