# COUNT
# 作用:计算指定字段在查询结果中出现的个数
SELECT COUNT(employee_id),COUNT(salary),COUNT(salary*12)
FROM employees;
SELECT COUNT(1)
FROM employees;
SELECT COUNT(4)
FROM employees;
SELECT COUNT(*)
FROM employees;
#计算表中有多少条记录,如何实现?
# 方式1:COUNT(常数)
# 方式2:COUNT(*)
# 方式3:COUNT(具体字段) 不一定对
#注意:计算指定具体字段出现的个数时,是不计算NULL值的
SELECT COUNT(commission_pct)
FROM employees;
SELECT commission_pct
FROM employees
WHERE commission_pct IS NULL;
# 不为空是 35
# 空的是 72
SELECT 72+35
#公式:AVG = SUM / COUNT
SELECT AVG(salary),SUM(salary)/COUNT(salary),
AVG(commission_pct),SUM(commission_pct)/COUNT(commission_pct),
SUM(commission_pct)/107
FROM employees;
# 直观的感觉
# 需求:查询公司中平均奖金率
# 不对的
SELECT AVG(commission_pct)
FROM employees;
# 换一个场景:查询每一个中国人的平均工资是多少,其中有两亿人没有工作,大家说,这两亿人要不要计算在内?
# 以下正确
SELECT SUM(commission_pct)/COUNT(1)
FROM employees;
# GROUP BY的使用
# 需求:查询各个部门的平均工资,最高工资
# 显然不对,因为这是把107个员工看成了1个部门
SELECT AVG(salary),MAX(salary)
FROM employees;
# 以下为正确做法
SELECT AVG(salary),MAX(salary)
FROM employees
GROUP BY department_id;
# 需求:查询各个job_id的平均工资
# 比如50号部门,各个工种的工资
SELECT job_id,AVG(salary)
FROM employees
GROUP BY job_id;
# 需求:查询各个department_id,job_id的平均工资
SELECT department_id,job_id,AVG(salary)
FROM employees
GROUP BY department_id,job_id;
SELECT department_id,job_id,AVG(salary)
FROM employees
GROUP BY job_id,department_id;
-- ------------------------
# 错误的,眼见不一定为实,但是没有报错
SELECT department_id,job_id,AVG(salary)
FROM employees
GROUP BY department_id;
# 结论1:SELECT中出现的非组函数的字段必须声明在GROUP BY中
# 反之,GROUP BY中声明的字段可以不出现在SELECT中
# 结论2:GROUP BY 声明在from后面,WHERE的后面,ORDER BY的前面,在LIMIT前面