Update 1978. Employees Whose Manager Left the Company.sql

Co-Authored-By: Antim-IWP <203163676+Antim-IWP@users.noreply.github.com>

Author: iamAntimPal

LeetCode SQL 50 Solution/1978. Employees Whose Manager Left the Company.sql

@@ -63,3 +63,120 @@ FROM
 WHERE e1.salary < 30000 AND e1.manager_id IS NOT NULL AND e2.employee_id IS NULL
 ORDER BY 1;
 
+
+
+
+
+Sure! Let's break down the given MySQL query step by step, explain each part, and analyze its purpose.
+
+---
+
+## **Understanding the Problem Statement**
+We want to find **employees** whose:
+1. **Salary is less than 30,000.**
+2. **Have a manager (i.e., `manager_id IS NOT NULL`).**
+3. **Their manager does not exist in the `Employees` table.** (i.e., the `manager_id` they refer to does not match any existing `employee_id`).
+
+---
+
+## **Database Schema**
+Assume we have a table called `Employees` with the following structure:
+
+| employee_id | name    | salary | manager_id |
+|------------|--------|--------|------------|
+| 1          | Alice  | 50000  | NULL       |
+| 2          | Bob    | 20000  | 1          |
+| 3          | Charlie| 25000  | 4          |
+| 4          | David  | 60000  | NULL       |
+| 5          | Emma   | 27000  | 10         |
+
+- **`employee_id`**: Unique ID for each employee.
+- **`name`**: Employee’s name.
+- **`salary`**: Salary of the employee.
+- **`manager_id`**: The `employee_id` of their manager. `NULL` means the employee has no manager.
+
+---
+
+## **Step-by-Step Explanation of the Query**
+```sql
+SELECT e1.employee_id
+```
+- We are selecting the `employee_id` of employees who satisfy the given conditions.
+
+```sql
+FROM Employees AS e1
+```
+- We define the alias `e1` for the `Employees` table to refer to employees.
+
+```sql
+LEFT JOIN Employees AS e2 ON e1.manager_id = e2.employee_id
+```
+- We perform a **LEFT JOIN** to check if the `manager_id` of `e1` exists in the `employee_id` column of another instance of `Employees` (aliased as `e2`).
+- If there is **no match**, it means the manager does not exist in the table.
+
+```sql
+WHERE e1.salary < 30000
+```
+- We **filter employees** whose salary is **less than 30,000**.
+
+```sql
+AND e1.manager_id IS NOT NULL
+```
+- Ensures that the employee **has a manager** (`manager_id` should not be `NULL`).
+
+```sql
+AND e2.employee_id IS NULL
+```
+- This is the key condition!
+- Since we did a **LEFT JOIN**, `e2.employee_id` will be `NULL` if the manager **does not exist** in the `Employees` table.
+
+```sql
+ORDER BY 1;
+```
+- Orders the result by `employee_id` in ascending order.
+
+---
+
+## **Example Execution**
+Using the above `Employees` table, let's analyze the output:
+
+| employee_id | name   | salary | manager_id |
+|------------|--------|--------|------------|
+| 1          | Alice  | 50000  | NULL       |
+| 2          | Bob    | 20000  | 1          |
+| 3          | Charlie| 25000  | 4          |
+| 4          | David  | 60000  | NULL       |
+| 5          | Emma   | 27000  | 10         |
+
+### **Step 1: LEFT JOIN**
+We join the table on `manager_id = employee_id`:
+
+| e1.employee_id | e1.salary | e1.manager_id | e2.employee_id |
+|---------------|----------|--------------|---------------|
+| 2             | 20000    | 1            | 1             |
+| 3             | 25000    | 4            | 4             |
+| 5             | 27000    | 10           | NULL          |
+
+### **Step 2: Apply WHERE Conditions**
+- `e1.salary < 30000`: Only `Bob`, `Charlie`, and `Emma` qualify.
+- `e1.manager_id IS NOT NULL`: No issue.
+- `e2.employee_id IS NULL`: Only **Emma (employee_id = 5) qualifies** because `manager_id = 10`, and there is no `employee_id = 10`.
+
+### **Final Output**
+| employee_id |
+|------------|
+| 5          |
+
+So, the result is:
+```
+5
+```
+---
+## **Summary**
+### **Key Takeaways:**
+✔ We use **LEFT JOIN** to check if the manager exists.  
+✔ We filter employees whose **salary is below 30,000**.  
+✔ We ensure the manager **does not exist** in the database (`e2.employee_id IS NULL`).  
+✔ The query returns a **list of employees** who meet these conditions.  
+
+Would you like me to explain anything further or modify the query for additional scenarios? 😊