1 分组函数

1.1 简单的使用

1. COUNT(expression)：计算符合指定条件的行数。常用于计算记录数量。

2. SUM(expression)：对指定列的值求和。通常用于计算数值型字段的总和。

3. AVG(expression)：计算指定列的平均值。常用于计算数值型字段的平均值。

4. MIN(expression)：计算指定列的最小值。用于找出某一列中的最小值。

5. MAX(expression)：计算指定列的最大值。用于找出某一列中的最大值。

select 
	sum(salary) as 和,
	count(salary) as 个数,
	round(avg(salary),2) as 平均,
	max(salary) as 最高,
	min(salary) as 最低
from 
	employees;

1.2 是否忽略null值

null+任意值=null

select sum(commission_pct),avg(commission_pct)
from employees;

1.1的分组函数都忽略null值

1.3 和关键字搭配使用

select count(distinct salary) as 有几种工资
from employees;

1.4 count函数的详细介绍

统计行数

select count(*)
from employees;

1.5 练习

1

select
	max(salary) as 最大值, min(salary) as 最小值, avg(salary) as 平均值, sum(salary) as 总和
from employees;

2

select DATEDIFF(max(hiredate),min(hiredate)) as DIFFERENCE
from employees;

3

select count(*) as 员工个数
from employees
where department_id=90;

2 分组查询Group by

select
from
where
group by
order by

2.1 简单的分组查询

1.查询每个工种的最高工资

select max(salary),job_id
from employees
group by job_id;

2.查询哪个部门的员工个数>2

select count(*),department_id
from employees
group by department_id
having count(*)>2;

3.查询每个工种有奖金的员工的最高工资>12000的工种编号和最高工资

select max(salary),job_id
from employees
where commission_pct is not null
group byjob_id
having max(salary)>12000;

4.查询领导编号>102的每个领导手下的最低工资>5000的领导编号是哪个，以及其最低工资

select manager_id,min(salary)
from employees
where manager_id>102
group by manager_id
having min(salary)>5000;

2.2 练习

1.查询各job_id的员工工资的最大值,最小值，平均值，总和，并按job_id升序

select job_id,max(salary),min(salary),avg(salary),sum(salary)
from employees
group by job_id
order by job_id asc;

2.查询员工最高工资和最低工资的差距(DIFFERENCE)

select max(salary)-min(salary) as DIFFERENCE
from employees;

3.查询各个管理者手下员工的最低工资，其中最低工资不能低于6000，没有管理者的员工不计算在内

select manager_id,min(salary)
from employees
where manager_id is not null
group by manager_id
having min(salary)>=6000;

4.查询所有部门的编号，员工数量和工资平均值，并按平均工资降序

select department_id,count(*) as 员工数量,avg(salary)
from employees
group by department_id
order by avg(salary) desc;

5.选择具有各个job_id的员工人数

select job_id,count(*) as 员工人数
from employees
group by job_id;

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3 格式投票😋

题外话，有一个格式投票，大家认为哪种好看呢
格式1.

select employee_id
from employee;

格式2.

select
	employee_id
from
	employee;