salary
| id | employee_id | amount | pay_date | |----|-------------|--------|------------| | 1 | 1 | 9000 | 2017-03-31 | | 2 | 2 | 6000 | 2017-03-31 | | 3 | 3 | 10000 | 2017-03-31 | | 4 | 1 | 7000 | 2017-02-28 | | 5 | 2 | 6000 | 2017-02-28 | | 6 | 3 | 8000 | 2017-02-28 |The employee_id column refers to the employee_id in the following table
employee.
| employee_id | department_id | |-------------|---------------| | 1 | 1 | | 2 | 2 | | 3 | 2 |So for the sample data above, the result is:
| pay_month | department_id | comparison | |-----------|---------------|-------------| | 2017-03 | 1 | higher | | 2017-03 | 2 | lower | | 2017-02 | 1 | same | | 2017-02 | 2 | same |Explanation In March, the company's average salary is (9000+6000+10000)/3 = 8333.33... The average salary for department '1' is 9000, which is the salary of employee_id '1' since there is only one employee in this department. So the comparison result is 'higher' since 9000 > 8333.33 obviously. The average salary of department '2' is (6000 + 10000)/2 = 8000, which is the average of employee_id '2' and '3'. So the comparison result is 'lower' since 8000 < 8333.33. With he same formula for the average salary comparison in February, the result is 'same' since both the department '1' and '2' have the same average salary with the company, which is 7000.
avg() and case...when... [Accepted]Intuition
\nSolve this problem by 3 steps as below.
\nAlgorithm
\n1.Calculate the company\'s average salary in every month\nMySQL has the built-in function avg() to get the average of a list of numbers. Also, we need to format the pay_date column for future use.
\nselect avg(amount) as company_avg, date_format(pay_date, \'%Y-%m\') as pay_month\nfrom salary\ngroup by date_format(pay_date, \'%Y-%m\')\n;\n
| company_avg | \npay_month | \n
|---|---|
| 7000.0000 | \n2017-02 | \n
| 8333.3333 | \n2017-03 | \n
2.Calculate the each department\'s average salary in every month\nTo do this, we need to join the salary table with the employee table using condition salary.employee_id = employee.id.
select department_id, avg(amount) as department_avg, date_format(pay_date, \'%Y-%m\') as pay_month\nfrom salary\njoin employee on salary.employee_id = employee.employee_id\ngroup by department_id, pay_month\n;\n
| department_id | \ndepartment_avg | \npay_month | \n
|---|---|---|
| 1 | \n7000.0000 | \n2017-02 | \n
| 1 | \n9000.0000 | \n2017-03 | \n
| 2 | \n7000.0000 | \n2017-02 | \n
| 2 | \n8000.0000 | \n2017-03 | \n
3.Compare the previous numbers and display the result\nThis step might be the hardest if you have no idea on how to use MySQL flow control statement case...when....
MySQL, like other programming languages, also has its flow control. Click this link to learn it.
\nAt last, combine the above two query and join them on department_salary.pay_month = company_salary.pay_month.
MySQL
\nselect department_salary.pay_month, department_id,\ncase\n when department_avg>company_avg then \'higher\'\n when department_avg<company_avg then \'lower\'\n else \'same\'\nend as comparison\nfrom\n(\n select department_id, avg(amount) as department_avg, date_format(pay_date, \'%Y-%m\') as pay_month\n from salary join employee on salary.employee_id = employee.employee_id\n group by department_id, pay_month\n) as department_salary\njoin\n(\n select avg(amount) as company_avg, date_format(pay_date, \'%Y-%m\') as pay_month from salary group by date_format(pay_date, \'%Y-%m\')\n) as company_salary\non department_salary.pay_month = company_salary.pay_month\n;\n