Skip to content

Conversation

@alokusw2
Copy link

@alokusw2 alokusw2 commented Jun 9, 2025

No description provided.

@super30admin
Copy link
Owner

  1. Problem 1: The Number of Seniors and Juniors to Join the Company

    • Correctness: The solution correctly uses window functions to calculate cumulative salaries and then counts the number of seniors and juniors that can be hired within the budget. The approach is sound.
    • Time Complexity: O(n log n) due to the sorting in the window function.
    • Space Complexity: O(n) for storing the cumulative sums.
    • Code Quality: The code is well-structured and readable. The use of CTEs makes the logic clear.
    • Efficiency: The solution is efficient, but could be optimized by filtering candidates by experience before calculating cumulative sums.
  2. Problem 2: League Statistics

    • Correctness: The solution correctly calculates the statistics for each team, including points, goals, and goal difference. The UNION ALL approach to combine home and away matches is effective.
    • Time Complexity: O(n) for processing all matches.
    • Space Complexity: O(n) for storing intermediate results.
    • Code Quality: The code is clean and easy to understand. The use of subqueries and JOIN is appropriate.
    • Efficiency: The solution is efficient, but could be optimized by avoiding the subquery and using a single pass over the matches table.
  3. Problem 3: Sales Person

    • Correctness: The solution correctly identifies salespersons who did not have any orders related to the company "RED". The NOT IN clause is appropriate here.
    • Time Complexity: O(n) for the subquery and O(m) for the main query.
    • Space Complexity: O(n) for storing the subquery results.
    • Code Quality: The code is simple and straightforward. The use of NOT IN is clear.
    • Efficiency: The solution is efficient, but could be optimized by using NOT EXISTS instead of NOT IN for better performance in some databases.
  4. Problem 4: Friend Requests II

    • Correctness: The solution correctly identifies the person with the most friends by combining requester and accepter IDs and counting occurrences.
    • Time Complexity: O(n) for processing all friend requests.
    • Space Complexity: O(n) for storing the combined IDs.
    • Code Quality: The code is concise and easy to understand. The use of CTEs is appropriate.
    • Efficiency: The solution is efficient, but could be optimized by using a more direct approach without UNION ALL if possible.

Overall, the student's solutions are correct, efficient, and well-structured. The code quality is high, and the solutions follow best practices. Minor optimizations could be made, but they are not necessary for correctness.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants