#1978
Employees Whose Manager Left the Company
EasyDatabaseJOIN operationsSubqueriesFiltering with conditions
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(n) |
💡
Intuition
Time O(n)Space O(n)
This approach uses a single query to find employees with a salary less than $30,000 and checks for their managers in a more efficient way by using a LEFT JOIN.
⚙️
Algorithm
3 steps- 1Step 1: Perform a LEFT JOIN on the Employees table to find employees with a salary less than $30,000 and their corresponding manager.
- 2Step 2: Filter the results to include only those employees whose manager_id is not found in the Employees table (i.e., the manager has left).
- 3Step 3: Select the employee_id of these filtered employees.
solution.py1 lines
1SELECT e.employee_id FROM Employees e LEFT JOIN Employees m ON e.manager_id = m.employee_id WHERE e.salary < 30000 AND m.employee_id IS NULL;ℹ
Complexity note: The complexity is O(n) because we are scanning through the Employees table once and performing a join operation, which is efficient.
- 1Understanding how to check for non-existent references (managers) is crucial in relational databases.
- 2Using JOINs can significantly reduce the number of queries and improve performance.
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