PostgreSQL JOINS: Make a join with table employees and itself to find the employee id, name, manager_id and manager name
4. Write a query to make a join with two tables employees and itself to find the employee id, last_name as Employee along with their manager_id and last name as Manager.
Sample Solution:
Code:
-- This SQL query retrieves employee and manager details by joining the employees table with itself.
SELECT W1.employee_id as "Emp_id", -- Selects the employee ID column from the first instance of the employees table and labels it as "Emp_id"
W1.last_name AS "Employee", -- Selects the last name column from the first instance of the employees table and labels it as "Employee"
W2.employee_id AS "Manager ID", -- Selects the employee ID column from the second instance of the employees table and labels it as "Manager ID"
W2.last_name AS "Manager" -- Selects the last name column from the second instance of the employees table and labels it as "Manager"
FROM employees W1 -- Specifies the first instance of the employees table and aliases it as "W1"
JOIN employees W2 -- Specifies the second instance of the employees table and aliases it as "W2"
ON W1.manager_id = W2.employee_id; -- Joins the first instance with the second instance based on the manager_id and employee_id
Explanation:
- This SQL query retrieves employee and manager details by joining the employees table with itself.
- The SELECT statement selects the employee ID and last name columns from both instances of the employees table and labels them appropriately.
- Two instances of the employees table are used, aliased as W1 and W2.
- The JOIN keyword is used to join the first instance (W1) with the second instance (W2) based on the manager_id and employee_id.
- The ON clause specifies the join condition where the manager_id from the first instance matches the employee_id from the second instance, indicating that the second instance represents the manager of the employee from the first instance.
- The result set will contain the employee ID, last name, manager ID, and manager's last name for each employee, showing the relationship between employees and their respective managers.
Sample table: employees
Output:
pg_exercises=# SELECT W1.employee_id as "Emp_id" , W1.last_name AS "Employee", pg_exercises-# W2.employee_id AS "Manager ID", W2.last_name AS "Manager" pg_exercises-# FROM employees W1 JOIN employees W2 pg_exercises-# ON W1.manager_id= W2.employee_id; Emp_id | Employee | Manager ID | Manager --------+-------------+------------+----------- 103 | Hunold | 102 | De Haan 104 | Ernst | 103 | Hunold 105 | Austin | 103 | Hunold 106 | Pataballa | 103 | Hunold 107 | Lorentz | 103 | Hunold 114 | Raphaely | 100 | King 115 | Khoo | 114 | Raphaely 116 | Baida | 114 | Raphaely 117 | Tobias | 114 | Raphaely 101 | Kochhar | 100 | King 118 | Himuro | 114 | Raphaely 119 | Colmenares | 114 | Raphaely 133 | Mallin | 122 | Kaufling 134 | Rogers | 122 | Kaufling 135 | Gee | 122 | Kaufling 136 | Philtanker | 122 | Kaufling 138 | Stiles | 123 | Vollman 139 | Seo | 123 | Vollman 140 | Patel | 123 | Vollman 141 | Rajs | 124 | Mourgos 142 | Davies | 124 | Mourgos ... 203 | Mavris | 101 | Kochhar 204 | Baer | 101 | Kochhar 205 | Higgins | 101 | Kochhar 206 | Gietz | 205 | Higgins (105 rows)
Practice Online
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a SQL query to make a join with three tables employees, departments and locations to find the name, including first_name and last_name, jobs, department name and ID, of the employees working in London.
Next: Write a query to make a join with a table employees and itself to find the name, including first_name and last_name and hire date for those employees who were hired after the employee Jones.
What is the difficulty level of this exercise?
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://www.w3resource.com/postgresql-exercises/join/postgresql-join-exercise-4.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics