SQLite Exercise: Get the total salary, maximum, minimum, average salary of employees, for department ID 90 only

Write a query to get the total salary, maximum, minimum, average salary of employees (job ID wise), for department ID 90 only.

Sample table : employees

+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
| EMPLOYEE_ID | FIRST_NAME  | LAST_NAME   | EMAIL    | PHONE_NUMBER       | HIRE_DATE  | JOB_ID     | SALARY   | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID |
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
|         100 | Steven      | King        | SKING    | 515.123.4567       | 1987-06-17 | AD_PRES    | 24000.00 |           0.00 |          0 | 		  90 |
|         101 | Neena       | Kochhar     | NKOCHHAR | 515.123.4568       | 1987-06-18 | AD_VP      | 17000.00 |           0.00 |        100 |            90 |
|         102 | Lex         | De Haan     | LDEHAAN  | 515.123.4569       | 1987-06-19 | AD_VP      | 17000.00 |           0.00 |        100 |            90 |
|         103 | Alexander   | Hunold      | AHUNOLD  | 590.423.4567       | 1987-06-20 | IT_PROG    |  9000.00 |           0.00 |        102 |            60 |
|         104 | Bruce       | Ernst       | BERNST   | 590.423.4568       | 1987-06-21 | IT_PROG    |  6000.00 |           0.00 |        103 |            60 |
|         105 | David       | Austin      | DAUSTIN  | 590.423.4569       | 1987-06-22 | IT_PROG    |  4800.00 |           0.00 |        103 |            60 |
|         106 | Valli       | Pataballa   | VPATABAL | 590.423.4560       | 1987-06-23 | IT_PROG    |  4800.00 |           0.00 |        103 |            60 |
|         107 | Diana       | Lorentz     | DLORENTZ | 590.423.5567       | 1987-06-24 | IT_PROG    |  4200.00 |           0.00 |        103 |            60 |
|         108 | Nancy       | Greenberg   | NGREENBE | 515.124.4569       | 1987-06-25 | FI_MGR     | 12000.00 |           0.00 |        101 |           100 |
|         109 | Daniel      | Faviet      | DFAVIET  | 515.124.4169       | 1987-06-26 | FI_ACCOUNT |  9000.00 |           0.00 |        108 |           100 |
...........
|         206 | William     | Gietz       | WGIETZ   | 515.123.8181       | 1987-10-01 | AC_ACCOUNT |  8300.00 |           0.00 |        205 |           110 |
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+

View the table

SQLite Code:

-- Selecting the "job_id" and aggregating salary statistics (SUM, AVG, MAX, MIN) for each job in department 90
SELECT job_id, SUM(salary), AVG(salary), MAX(salary), MIN(salary)
-- Specifying the table from which to retrieve the data, in this case, "employees"
FROM employees 
-- Filtering the results to include only rows where the department_id is '90'
WHERE department_id = '90' 
-- Grouping the results by the "job_id" column
GROUP BY job_id;

Output:

job_id      SUM(salary)  AVG(salary)  MAX(salary)  MIN(salary)
----------  -----------  -----------  -----------  -----------
AD_PRES     24000        24000.0      24000        24000
AD_VP       34000        17000.0      17000        17000

Explanation:

The above SQLite query retrieves the "job_id" and aggregates various salary statistics for each job in the "employees" table, considering only those in department 90. The results are grouped by the "job_id" column.

Here's a brief explanation of each part of SQLite code:

• SELECT clause:
• It selects the "job_id" column.
• It aggregates several salary statistics for each job, including:
• SUM(salary): The total sum of salaries for each job.
• AVG(salary): The average salary for each job.
• MAX(salary): The maximum salary for each job.
• MIN(salary): The minimum salary for each job.
• FROM clause:
• Specifies the table from which to retrieve the data, in this case, the "employees" table.
• WHERE clause:
• Filters the results to include only rows where the "department_id" is '90'. This means that the query focuses on employees in department 90.
• GROUP BY clause:
• Groups the results by the "job_id" column. This means that the salary statistics are calculated separately for each unique job in department 90.

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• SQLite Aggregate Functions and Group by Exercises Home. ↩
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Model Database

Structure of 'hr' database :

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