MySQL 第九章 连接查询

九、连接查询

9.1 什么是连接查询

从一张表中单独查询,称为单表查询。

emp表和dept表联合起来查询数据,从emp表中取员工名字,从dept表中取部门名字。这种跨表查询,多张表联合起来查询数据,被称为连接查询。

9.2 连接查询的分类

根据语法的年代分类:

  • SQL92:1992年的时候出现的语法
  • SQL99:1999年的时候出现的语法

根据表连接的方式分类:

  • 内连接:(A和B连接,AB两张表没有主次关系~平等的)
    • 等值连接
    • 非等值连接
    • 自连接
  • 外连接:
    • 左外连接(左连接)
    • 右外连接(右连接)
    • 全连接

9.3 没有任何条件限制的两张表进行连接查询

当两张表进行连接查询,没有任何条件限制的时候,最终查询结果条数是两张表条数的乘积,这种现象被称为:笛卡尔积现象

查询每个员工所在部门名称:

mysql> select ename, deptno from emp;
+--------+--------+
| 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 |
+--------+--------+
14 rows in set (0.00 sec)

mysql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+
4 rows in set (0.00 sec)

# 两张表连接没有任何条件限制:
mysql> select ename, dname from emp, dept;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | ACCOUNTING |
| SMITH  | RESEARCH   |
| SMITH  | SALES      |
| SMITH  | OPERATIONS |
| ALLEN  | ACCOUNTING |
| ALLEN  | RESEARCH   |
| ALLEN  | SALES      |
| ALLEN  | OPERATIONS |
| WARD   | ACCOUNTING |
| WARD   | RESEARCH   |
| WARD   | SALES      |
| WARD   | OPERATIONS |
| JONES  | ACCOUNTING |
| JONES  | RESEARCH   |
| JONES  | SALES      |
| JONES  | OPERATIONS |
| MARTIN | ACCOUNTING |
| MARTIN | RESEARCH   |
| MARTIN | SALES      |
| MARTIN | OPERATIONS |
| BLAKE  | ACCOUNTING |
| BLAKE  | RESEARCH   |
| BLAKE  | SALES      |
| BLAKE  | OPERATIONS |
| CLARK  | ACCOUNTING |
| CLARK  | RESEARCH   |
| CLARK  | SALES      |
| CLARK  | OPERATIONS |
| SCOTT  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| SCOTT  | SALES      |
| SCOTT  | OPERATIONS |
| KING   | ACCOUNTING |
| KING   | RESEARCH   |
| KING   | SALES      |
| KING   | OPERATIONS |
| TURNER | ACCOUNTING |
| TURNER | RESEARCH   |
| TURNER | SALES      |
| TURNER | OPERATIONS |
| ADAMS  | ACCOUNTING |
| ADAMS  | RESEARCH   |
| ADAMS  | SALES      |
| ADAMS  | OPERATIONS |
| JAMES  | ACCOUNTING |
| JAMES  | RESEARCH   |
| JAMES  | SALES      |
| JAMES  | OPERATIONS |
| FORD   | ACCOUNTING |
| FORD   | RESEARCH   |
| FORD   | SALES      |
| FORD   | OPERATIONS |
| MILLER | ACCOUNTING |
| MILLER | RESEARCH   |
| MILLER | SALES      |
| MILLER | OPERATIONS |
+--------+------------+
56 rows in set (0.00 sec)
14 * 4 = 56

9.4 如何避免笛卡尔积现象?

在连接时加入条件,满足这个条件的记录被筛选出来。

mysql> select ename, dname
    -> from emp, dept
    -> where emp.deptno = dept.deptno;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
+--------+------------+
14 rows in set (0.00 sec)

mysql>  select emp.ename, dept.dname
    -> from emp, dept
    -> where emp.deptno = dept.deptno;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
+--------+------------+
14 rows in set (0.00 sec)

# 给表起别名,很重要-----效率问题
mysql> select e.ename, d.dname
    -> from emp e, dept d
    -> where e.deptno = d.deptno;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
+--------+------------+
14 rows in set (0.00 sec)

通过笛卡尔积现象得出,表的连接次数越多效率越低,尽量避免表的连接次数。

9.5 内连接–等值连接

SQL92语法的缺点:结构不清晰,表的连接条件和后期进一步筛选的条件都放到了 where 后面。

SQL99的优点:表连接的条件是独立的,连接之后,如果还需要进一步筛选,再往后继续添加where

# SQL99语法格式:
select ...
from a
join b
on a和b的连接条件
where 筛选条件

查询每个员工所在部门名称,显示员工名和部门名:

# emp e和dept d表进行连接。条件是:e.deptno = d.deptno
# SQL92语法
mysql> select e.ename, d.ename
    -> from emp e, dept d
    -> where e.deptno = d.deptno;
ERROR 1054 (42S22): Unknown column 'd.ename' in 'field list'
mysql> select e.ename, d.dname
    -> from emp e, dept d
    -> where e.deptno = d.deptno;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
+--------+------------+
14 rows in set (0.00 sec)

# SQL99语法:
mysql> select e.ename, d.dname
    -> from emp e
    -> join dept d		# inner可以省略(带着inner可读性更好!inner join)
    -> on e.deptno = d.deptno;	# 条件时等量关系,所以被称为等值连接,完成能够匹配上这个条件的数据查询出来
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
+--------+------------+
14 rows in set (0.00 sec)

9.6 内连接–非等值连接

找出每个员工的薪资等级,要求显示员工名、薪资、薪资等级:

# 查看一下emp和salgrade表的结构
mysql> select * from emp;
+-------+--------+-----------+------+------------+---------+---------+--------+
| 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 |
+-------+--------+-----------+------+------------+---------+---------+--------+
14 rows in set (0.00 sec)

mysql> select * from salgrade;
+-------+-------+-------+
| GRADE | LOSAL | HISAL |
+-------+-------+-------+
|     1 |   700 |  1200 |
|     2 |  1201 |  1400 |
|     3 |  1401 |  2000 |
|     4 |  2001 |  3000 |
|     5 |  3001 |  9999 |
+-------+-------+-------+
5 rows in set (0.01 sec)

mysql> select e.ename, e.sal, s.grade
    -> from emp e
    -> join salgrade s
    -> on e.sal between s.losal and s.hisal;	# 条件不是一个等量关系,称为非等值连接
+--------+---------+-------+
| 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 |
+--------+---------+-------+
14 rows in set (0.00 sec)

9.7 内连接–自连接

技巧:一张表看作两张表。

查询员工的上级领导,要求显示员工名和对应的领导名:

mysql> select empno, ename, mgr
    -> from emp;
+-------+--------+------+
| 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 |
+-------+--------+------+
14 rows in set (0.00 sec)

# 技巧:将一张表看作两张表
# 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 |
+-------+--------+------+
14 rows in set (0.00 sec)
# emp b 领导表
+-------+--------+------+
| 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 |
+-------+--------+------+
14 rows in set (0.00 sec)

mysql> select a.ename as '员工名', b.ename as '领导名'
    -> from emp a
    -> join emp b
    -> on a.mgr = b.empno;	# 员工的领导编号 = 领导的员工编号
+-----------+-----------+
| 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     |
+-----------+-----------+
13 rows in set (0.00 sec)
13条记录,没有KING连接《内连接》

9.8 外连接–右外连接

right的含义:表示将join关键字右边的这张表看作主表,主要是为了将这张表的数据全部查询出来,捎带着关联查询左边的表。

在外连接中,两张表的连接产生了主次关系。

mysql> select e.ename, d.dname
    -> from emp e
    -> right outer join dept d	# outer可以省略,带着可读性更强
    -> on e.deptno = d.deptno;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
| NULL   | OPERATIONS |
+--------+------------+
15 rows in set (0.00 sec)

9.9 外连接–左外连接

mysql> select e.ename, d.dname
    -> from dept d
    -> left outer join emp e	# outer可以省略
    -> on e.deptno = d.deptno;
+--------+------------+
| ename  | dname      |
+--------+------------+
| SMITH  | RESEARCH   |
| ALLEN  | SALES      |
| WARD   | SALES      |
| JONES  | RESEARCH   |
| MARTIN | SALES      |
| BLAKE  | SALES      |
| CLARK  | ACCOUNTING |
| SCOTT  | RESEARCH   |
| KING   | ACCOUNTING |
| TURNER | SALES      |
| ADAMS  | RESEARCH   |
| JAMES  | SALES      |
| FORD   | RESEARCH   |
| MILLER | ACCOUNTING |
| NULL   | OPERATIONS |
+--------+------------+
15 rows in set (0.00 sec)

带有right的是右外连接,又叫做右连接
带有left的是做外外连接,又叫做左连接

任何一个右连接都有左连接的写法
任何一个左连接都有右连接的写法

思考:外连接的查询结果条数一定是 >= 内连接的查询结果条数吗?

===》正确!

9.10 案例

查询每个员工的上级领导,要求显示所有员工的名字和领导名:

mysql> select a.ename as '员工名', b.ename as '领导名'
    -> from emp a
    -> left 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     |
| KING      | NULL      |
| TURNER    | BLAKE     |
| ADAMS     | SCOTT     |
| JAMES     | BLAKE     |
| FORD      | JONES     |
| MILLER    | CLARK     |
+-----------+-----------+
14 rows in set (0.00 sec)

9.11 多张表的连接

# 语法:
select ...
from a
join b
on a和b的连接条件
join c
on a和c的连接条件
right join d
on a和d的连接条件
# 一条SQL中内连接和外连接可以混合----可以都出现

找出每个员工的部门名称以及工资等级,要求显示员工名、部门名、薪资、薪资等级:

mysql> select e.ename, d.dname, e.sal, 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      | sal     | grade |
+--------+------------+---------+-------+
| SMITH  | RESEARCH   |  800.00 |     1 |
| ALLEN  | SALES      | 1600.00 |     3 |
| WARD   | SALES      | 1250.00 |     2 |
| JONES  | RESEARCH   | 2975.00 |     4 |
| MARTIN | SALES      | 1250.00 |     2 |
| BLAKE  | SALES      | 2850.00 |     4 |
| CLARK  | ACCOUNTING | 2450.00 |     4 |
| SCOTT  | RESEARCH   | 3000.00 |     4 |
| KING   | ACCOUNTING | 5000.00 |     5 |
| TURNER | SALES      | 1500.00 |     3 |
| ADAMS  | RESEARCH   | 1100.00 |     1 |
| JAMES  | SALES      |  950.00 |     1 |
| FORD   | RESEARCH   | 3000.00 |     4 |
| MILLER | ACCOUNTING | 1300.00 |     2 |
+--------+------------+---------+-------+
14 rows in set (0.00 sec)

找出每个员工的部门名称以及工资等级,还有上级领导,要求显示员工名、领导名、部门名、薪资、薪资等级:

mysql> select e.ename, d.dname, l.ename, e.sal, 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
    -> left join emp l
    -> on e.mgr = l.empno;
+--------+------------+-------+---------+-------+
| ename  | dname      | ename | sal     | grade |
+--------+------------+-------+---------+-------+
| SMITH  | RESEARCH   | FORD  |  800.00 |     1 |
| ADAMS  | RESEARCH   | SCOTT | 1100.00 |     1 |
| JAMES  | SALES      | BLAKE |  950.00 |     1 |
| WARD   | SALES      | BLAKE | 1250.00 |     2 |
| MARTIN | SALES      | BLAKE | 1250.00 |     2 |
| MILLER | ACCOUNTING | CLARK | 1300.00 |     2 |
| ALLEN  | SALES      | BLAKE | 1600.00 |     3 |
| TURNER | SALES      | BLAKE | 1500.00 |     3 |
| JONES  | RESEARCH   | KING  | 2975.00 |     4 |
| BLAKE  | SALES      | KING  | 2850.00 |     4 |
| CLARK  | ACCOUNTING | KING  | 2450.00 |     4 |
| SCOTT  | RESEARCH   | JONES | 3000.00 |     4 |
| FORD   | RESEARCH   | JONES | 3000.00 |     4 |
| KING   | ACCOUNTING | NULL  | 5000.00 |     5 |
+--------+------------+-------+---------+-------+
14 rows in set (0.00 sec)

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