我可以得到员工的数量和平均工资,但是当我试图获得额外的选择列表时,支付的员工数量低于平均水平就失败了。
select count(employee_id),avg(salary)
from employees
Where salary < avg(salary);
答案 0 :(得分:3)
select count(*), (select avg(salary) from employees)
from employees
where salary < (select avg(salary) from employees);
答案 1 :(得分:1)
select TotalNumberOfEmployees,
AverageSalary,
count(e.employee_id) NumberOfEmployeesBelowAverageSalary
from (
select count(employee_id) TotalNumberOfEmployees,
avg(salary) AverageSalary
from employees
) preagg
left join employees e on e.salary < preagg.AverageSalary
group by TotalNumberOfEmployees,
AverageSalary
注意:我使用了LEFT加入,所以如果你有3个相同的员工,它会显示0而不是没有结果(没有人低于平均水平)。
答案 2 :(得分:1)
问题是AVG
是一个聚合函数。 SQL不够聪明,无法弄清楚如何在行中混合聚合结果。传统方式是使用连接:
select count(*), avg(e.salary),
sum(case when e.salary < const.AvgSalary then 1 else 0 end) as NumBelowAverage
from employees e cross join
(select avg(salary) as AvgSalary from employees) as const
答案 3 :(得分:1)
目前尚不清楚结果集中需要哪些列,这使得难以回答您的问题。明确问题可以提高答案的质量。
你似乎想要3个事实:
并显示一个查询,它可以完成前两个事实的工作:
SELECT COUNT(*) AS NumberOfEmployees,
AVG(Salary) AS AverageSalary
FROM Employees
COUNT(*)
和COUNT(Employee_ID)
之间有什么区别?区别在于后者仅计算Employee_ID列中存在非NULL值的行。一个好的优化器会识别出Employee_ID是一个主键并且不包含NULL值,并且查询将是相同的。但COUNT(*)
更常规,更不依赖于优化器。
可以通过子查询在选择列表中生成另一个统计信息作为简单值:
SELECT COUNT(*) AS NumberOfEmployees,
AVG(Salary) AS AverageSalary,
(SELECT COUNT(*)
FROM Employees
WHERE Salary < (SELECT AVG(Salary) FROM Employees)
) AS NumberOfEmployeesPaidSubAverageWages
FROM Employees
在许多情况下,编写类似的子查询是不合适的,但是对于指定查询的解释,它很好。
答案 4 :(得分:0)
select * from <table name> where salary < (select avg(<salary column name) from <table name>);
示例:
select * from EMPLOYEE where sal < (select avg(emp_sal) from EMPLOYEE);
答案 5 :(得分:0)
SELECT e.ename,e.deptno,e.sal,d.avg
FROM emp e,(SELECT deptno, avg(sal) avg
FROM emp
GROUP BY deptno) d
WHERE e.deptno=d.deptno
AND
e.sal < d.avg