MySql 分组查询

分组函数

功能：用作统计使用，又称为聚合函数或统计函数或组函数

分类：
sum 求和、avg 平均值、max 最大值 、min 最小值 、count 计算个数

特点：
1、sum、avg一般用于处理数值型
max、min、count可以处理任何类型
2、以上分组函数都忽略null值

3、可以和distinct搭配实现去重的运算

4、count函数的单独介绍
一般使用count(*)用作统计行数

5、和分组函数一同查询的字段要求是group by后的字段

#1、简单 的使用
SELECT SUM(salary) FROM employees;
SELECT AVG(salary) FROM employees;
SELECT MIN(salary) FROM employees;
SELECT MAX(salary) FROM employees;
SELECT COUNT(salary) FROM employees;


SELECT SUM(salary) 和,AVG(salary) 平均,MAX(salary) 最高,MIN(salary) 最低,COUNT(salary) 个数
FROM employees;

SELECT SUM(salary) 和,ROUND(AVG(salary),2) 平均,MAX(salary) 最高,MIN(salary) 最低,COUNT(salary) 个数
FROM employees;

#2、参数支持哪些类型

SELECT SUM(last_name) ,AVG(last_name) FROM employees;
SELECT SUM(hiredate) ,AVG(hiredate) FROM employees;

SELECT MAX(last_name),MIN(last_name) FROM employees;

SELECT MAX(hiredate),MIN(hiredate) FROM employees;

SELECT COUNT(commission_pct) FROM employees;
SELECT COUNT(last_name) FROM employees;

#3、是否忽略null

SELECT SUM(commission_pct) ,AVG(commission_pct),SUM(commission_pct)/35,SUM(commission_pct)/107 FROM employees;

SELECT MAX(commission_pct) ,MIN(commission_pct) FROM employees;

SELECT COUNT(commission_pct) FROM employees;
SELECT commission_pct FROM employees;


#4、和distinct搭配

SELECT SUM(DISTINCT salary),SUM(salary) FROM employees;

SELECT COUNT(DISTINCT salary),COUNT(salary) FROM employees;



#5、count函数的详细介绍

SELECT COUNT(salary) FROM employees;


SELECT COUNT(*) FROM employees;

SELECT COUNT(1) FROM employees;

效率：
MYISAM存储引擎下  ，COUNT(*)的效率高
INNODB存储引擎下，COUNT(*)和COUNT(1)的效率差不多，比COUNT(字段)要高一些


#6、和分组函数一同查询的字段有限制

SELECT AVG(salary),employee_id  FROM employees;

select 查询列表
from 表
【where 筛选条件】
group by 分组的字段
【order by 排序的字段】;

特点：
1、和分组函数一同查询的字段必须是group by后出现的字段
2、筛选分为两类：分组前筛选和分组后筛选
针对的表 位置 连接的关键字
分组前筛选 原始表 group by前 where

分组后筛选 group by后的结果集 group by后 having

问题1：分组函数做筛选能不能放在where后面
答：不能

问题2：where——group by——having

一般来讲，能用分组前筛选的，尽量使用分组前筛选，提高效率

3、分组可以按单个字段也可以按多个字段
4、可以搭配着排序使用

#引入：查询每个部门的员工个数

SELECT COUNT(*) FROM employees WHERE department_id=90;

#1.简单的分组 

#案例1：查询每个工种的员工平均工资

SELECT AVG(salary),job_id
FROM employees
GROUP BY job_id;

#案例2：查询每个位置的部门个数

SELECT COUNT(*),location_id
FROM departments
GROUP BY location_id;

#2、可以实现分组前的筛选

#案例1：查询邮箱中包含a字符的 每个部门的最高工资

SELECT MAX(salary),department_id
FROM employees
WHERE email LIKE '%a%'
GROUP BY department_id;

#案例2：查询有奖金的每个领导手下员工的平均工资

SELECT AVG(salary),manager_id
FROM employees
WHERE commission_pct IS NOT NULL
GROUP BY manager_id;

#3、分组后筛选

#案例：查询哪个部门的员工个数>5

#①查询每个部门的员工个数

SELECT COUNT(*),department_id
FROM employees
GROUP BY department_id;

#② 筛选刚才①结果

SELECT COUNT(*),department_id
FROM employees
GROUP BY department_id
HAVING COUNT(*)>5;

#案例2：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 job_id,MAX(salary)
FROM employees
WHERE commission_pct IS NOT NULL
GROUP BY job_id
HAVING MAX(salary)>12000;

#案例3：领导编号>102的每个领导手下的最低工资大于5000的领导编号和最低工资

manager_id>102

SELECT manager_id,MIN(salary)
FROM employees
GROUP BY manager_id
HAVING MIN(salary)>5000;

#4.添加排序

#案例：每个工种有奖金的员工的最高工资>6000的工种编号和最高工资,按最高工资升序

SELECT job_id,MAX(salary) m
FROM employees
WHERE commission_pct IS NOT NULL
GROUP BY job_id
HAVING m>6000
ORDER BY m ;

#5.按多个字段分组

#案例：查询每个工种每个部门的最低工资,并按最低工资降序

SELECT MIN(salary),job_id,department_id
FROM employees
GROUP BY department_id,job_id
ORDER BY MIN(salary) DESC;