SQL Exercise: List employees in ascending order on their experiences

Last update on January 19 2026 12:15:00 (UTC/GMT +8 hours)

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80. From the following table, write a SQL query to list the employee ID, name, hire date, current date and experience of the employees in ascending order on their experiences.

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       | 2003-06-17 | AD_PRES    | 24000.00 |           0.00 |          0 |            90 |
|         101 | Neena       | Kochhar     | NKOCHHAR | 515.123.4568       | 2005-09-21 | AD_VP      | 17000.00 |           0.00 |        100 |            90 |
|         102 | Lex         | De Haan     | LDEHAAN  | 515.123.4569       | 2001-01-13 | AD_VP      | 17000.00 |           0.00 |        100 |            90 |
|         103 | Alexander   | Hunold      | AHUNOLD  | 590.423.4567       | 2006-01-03 | IT_PROG    |  9000.00 |           0.00 |        102 |            60 |
|         104 | Bruce       | Ernst       | BERNST   | 590.423.4568       | 2007-05-21 | IT_PROG    |  6000.00 |           0.00 |        103 |            60 |
|         105 | David       | Austin      | DAUSTIN  | 590.423.4569       | 2005-06-25 | IT_PROG    |  4800.00 |           0.00 |        103 |            60 |
|         106 | Valli       | Pataballa   | VPATABAL | 590.423.4560       | 2006-02-05 | IT_PROG    |  4800.00 |           0.00 |        103 |            60 |
|         107 | Diana       | Lorentz     | DLORENTZ | 590.423.5567       | 2007-02-07 | IT_PROG    |  4200.00 |           0.00 |        103 |            60 |
|         108 | Nancy       | Greenberg   | NGREENBE | 515.124.4569       | 2002-08-17 | FI_MGR     | 12008.00 |           0.00 |        101 |           100 |
|         109 | Daniel      | Faviet      | DFAVIET  | 515.124.4169       | 2002-08-16 | FI_ACCOUNT |  9000.00 |           0.00 |        108 |           100 |
.........
|         206 | William     | Gietz       | WGIETZ   | 515.123.8181       | 2002-06-07 | AC_ACCOUNT |  8300.00 |           0.00 |        205 |           110 |
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+

View the table

Pictorial Presentation:

Sample Solution:

SELECT emp_id,
       emp_name,
       hire_date,
       CURRENT_DATE,
       age(CURRENT_DATE, hire_date) EXP
FROM employees
ORDER BY EXP ASC;

Sample Output:

 emp_id | emp_name | hire_date  |    date    |           exp
--------+----------+------------+------------+-------------------------
  68736 | ADNRES   | 1997-05-23 | 2018-02-01 | 20 years 8 mons 9 days
  67858 | SCARLET  | 1997-04-19 | 2018-02-01 | 20 years 9 mons 12 days
  69324 | MARKER   | 1992-01-23 | 2018-02-01 | 26 years 9 days
  69062 | FRANK    | 1991-12-03 | 2018-02-01 | 26 years 1 mon 29 days
  69000 | JULIUS   | 1991-12-03 | 2018-02-01 | 26 years 1 mon 29 days
  68319 | KAYLING  | 1991-11-18 | 2018-02-01 | 26 years 2 mons 13 days
  66564 | MADDEN   | 1991-09-28 | 2018-02-01 | 26 years 4 mons 3 days
  68454 | TUCKER   | 1991-09-08 | 2018-02-01 | 26 years 4 mons 23 days
  67832 | CLARE    | 1991-06-09 | 2018-02-01 | 26 years 7 mons 22 days
  66928 | BLAZE    | 1991-05-01 | 2018-02-01 | 26 years 9 mons
  65646 | JONAS    | 1991-04-02 | 2018-02-01 | 26 years 9 mons 29 days
  65271 | WADE     | 1991-02-22 | 2018-02-01 | 26 years 11 mons 7 days
  64989 | ADELYN   | 1991-02-20 | 2018-02-01 | 26 years 11 mons 9 days
  63679 | SANDRINE | 1990-12-18 | 2018-02-01 | 27 years 1 mon 14 days
(14 rows)

Explanation:

The said query in SQL that selects the emp_id, emp_name, hire_date, CURRENT_DATE, and EXP columns for each employee in the employees table, sorted in ascending order by their years of experience.

The age() function calculates the difference in years between the hire_date and CURRENT_DATE and the resulting column is aliased as EXP.

Go to:

PREV : Employees work as SALESMEN, sorted by their salary.
NEXT : Sort employees by designation, joining after 1991.

Practice Online

Sample Database: employees

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