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MAYSQL 2 DAY

时间:2022-12-11 21:33:44浏览次数:56  
标签:ename 30 SALES emp deptno DAY select MAYSQL

MySQL

1、关于查询结果集的去重?

mysql> select distinct job from emp; // distinct关键字去除重复记录。
+-----------+
| job       |
+-----------+
| CLERK     |
| SALESMAN  |
| MANAGER   |
| ANALYST   |
| PRESIDENT |
+-----------+	

mysql> select ename,distinct job from emp;
以上的sql语句是错误的。

记住:distinct只能出现在所有字段的最前面。

mysql> select distinct deptno,job from emp;
+--------+-----------+
| deptno | job       |
+--------+-----------+
|     20 | CLERK     |
|     30 | SALESMAN  |
|     20 | MANAGER   |
|     30 | MANAGER   |
|     10 | MANAGER   |
|     20 | ANALYST   |
|     10 | PRESIDENT |
|     30 | CLERK     |
|     10 | CLERK     |
+--------+-----------+

案例:统计岗位的数量?

select count(distinct job) from emp;
+---------------------+
| count(distinct job) |
+---------------------+
|                   5 |
+---------------------+

2、连接查询

2.1、什么是连接查询?
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。
在实际开发中,一般一个业务都会对应多张表,比如:学生和班级,起码两张表。

stuno		stuname			classno		classname
-----------------------------------------------------------------
1			zs					1		北京大兴区亦庄经济技术开发区第二中学高三1班
2			ls					1		北京大兴区亦庄经济技术开发区第二中学高三1班
...

学生和班级信息存储到一张表中,结果就像上面一样,数据会存在大量的重复,导致数据的冗余。

2.2、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:

  1. 内连接:

     等值连接
     非等值连接
     自连接
    
  2. 外连接:

     左外连接(左连接)
     右外连接(右连接)
     全连接(这个不讲,很少用!)
    

2.3、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。

2.4、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      |
+--------+------------+

2.5、内连接之等值连接:最大特点是:条件是等量关系。

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      |
    +--------+------------+

2.6、内连接之非等值连接:最大的特点是:连接条件中的关系是非等量关系。

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 |
+--------+---------+-------+

2.7、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  |
+--------+--------+

2.8、外连接?

什么是外连接,和内连接有什么区别?

内连接:
	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。
	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 |
+--------+------------+--------+

2.9、三张表怎么连接查询?

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 |
+--------+------------+-------+-------+

3、子查询

3.1、什么是子查询?子查询都可以出现在哪里?

select语句当中嵌套select语句,被嵌套的select语句是子查询。

子查询可以出现在哪里?

	select
		..(select).
	from
		..(select).
	where
		..(select).

3.2、where子句中使用子查询

案例:找出高于平均薪资的员工信息。

select * from emp where sal > avg(sal); //错误的写法,where后面不能直接使用分组函数。

第一步:找出平均薪资
    select avg(sal) from emp;
    +-------------+
    | avg(sal)    |
    +-------------+
    | 2073.214286 |
    +-------------+
第二步:where过滤
    select * from emp where sal > 2073.214286;
    +-------+-------+-----------+------+------------+---------+------+--------+
    | EMPNO | ENAME | JOB       | MGR  | HIREDATE   | SAL     | COMM | DEPTNO |
    +-------+-------+-----------+------+------------+---------+------+--------+
    |  7566 | JONES | MANAGER   | 7839 | 1981-04-02 | 2975.00 | NULL |     20 |
    |  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 |
    |  7902 | FORD  | ANALYST   | 7566 | 1981-12-03 | 3000.00 | NULL |     20 |
    +-------+-------+-----------+------+------------+---------+------+--------+
第一步和第二步合并:
    select * from emp where sal > (select avg(sal) from emp);

3.3、from后面嵌套子查询

案例:找出每个部门平均薪水的等级。

第一步:找出每个部门平均薪水(按照部门编号分组,求sal的平均值)
select deptno,avg(sal) as avgsal from emp group by deptno;
+--------+-------------+
| deptno | avgsal      |
+--------+-------------+
|     10 | 2916.666667 |
|     20 | 2175.000000 |
|     30 | 1566.666667 |
+--------+-------------+
第二步:将以上的查询结果当做临时表t,让t表和salgrade s表连接,条件是:t.avgsal between s.losal and s.hisal
select 
    t.*,s.grade
from
    (select deptno,avg(sal) as avgsal from emp group by deptno) t
join
    salgrade s
on
    t.avgsal between s.losal and s.hisal;

+--------+-------------+-------+
| deptno | avgsal      | grade |
+--------+-------------+-------+
|     30 | 1566.666667 |     3 |
|     10 | 2916.666667 |     4 |
|     20 | 2175.000000 |     4 |
+--------+-------------+-------+

案例:找出每个部门平均的薪水等级。

第一步:找出每个员工的薪水等级。
select e.ename,e.sal,e.deptno,s.grade from emp e join salgrade s on e.sal between s.losal and s.hisal;
+--------+---------+--------+-------+
| ename  | sal     | deptno | grade |
+--------+---------+--------+-------+
| SMITH  |  800.00 |     20 |     1 |
| ALLEN  | 1600.00 |     30 |     3 |
| WARD   | 1250.00 |     30 |     2 |
| JONES  | 2975.00 |     20 |     4 |
| MARTIN | 1250.00 |     30 |     2 |
| BLAKE  | 2850.00 |     30 |     4 |
| CLARK  | 2450.00 |     10 |     4 |
| SCOTT  | 3000.00 |     20 |     4 |
| KING   | 5000.00 |     10 |     5 |
| TURNER | 1500.00 |     30 |     3 |
| ADAMS  | 1100.00 |     20 |     1 |
| JAMES  |  950.00 |     30 |     1 |
| FORD   | 3000.00 |     20 |     4 |
| MILLER | 1300.00 |     10 |     2 |
+--------+---------+--------+-------+
第二步:基于以上结果,继续按照deptno分组,求grade平均值。
select 
    e.deptno,avg(s.grade)
from 
    emp e 
join 
    salgrade s 
on 
    e.sal between s.losal and s.hisal
group by
    e.deptno;

+--------+--------------+
| deptno | avg(s.grade) |
+--------+--------------+
|     10 |       3.6667 |
|     20 |       2.8000 |
|     30 |       2.5000 |
+--------+--------------+

3.4、在select后面嵌套子查询。

案例:找出每个员工所在的部门名称,要求显示员工名和部门名。

select 
    e.ename,d.dname
from
    emp e
join
    dept d
on
    e.deptno = d.deptno;

select 
    e.ename,(select d.dname from dept d where e.deptno = d.deptno) as dname 
from 
    emp e;

+--------+------------+
| 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 |
+--------+------------+

标签:ename,30,SALES,emp,deptno,DAY,select,MAYSQL
From: https://www.cnblogs.com/thankcat/p/16974548.html

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