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  1. Combine Two Tables.sql:

    • Correctness: The solution correctly uses a LEFT JOIN to include all persons even if they don't have an address.
    • Time Complexity: O(n) where n is the number of records in Person table (assuming proper indexing on personID).
    • Space Complexity: O(n) for storing the result set.
    • Code Quality: Well-structured and readable. Follows SQL best practices.
    • Efficiency: Good, no improvements needed.
  2. Customers with Strictly Increasing Purchases.sql:

    • Correctness: The logic appears correct for finding customers with strictly increasing yearly purchases.
    • Time Complexity: O(n^2) due to the self-join on the CTE.
    • Space Complexity: O(n) for storing the CTE results.
    • Code Quality: Could improve readability by using more descriptive column aliases (e.g., 'yearly_total' instead of 'price').
    • Efficiency: The self-join approach is correct but could be optimized with window functions.
  3. Game Play Analysis II.sql:

    • Correctness: Correctly finds the first login device for each player.
    • Time Complexity: O(n^2) due to the correlated subquery.
    • Space Complexity: O(n) for the result set.
    • Code Quality: Simple and effective. Could use a JOIN with a derived table for better readability.
    • Efficiency: Could be optimized with window functions (ROW_NUMBER()).
  4. Game Play Analysis III.sql:

    • Correctness: Correctly calculates running total of games played.
    • Time Complexity: O(n log n) for the window function operation.
    • Space Complexity: O(n) for the result set.
    • Code Quality: Excellent use of window functions. Clear and concise.
    • Efficiency: Optimal solution for this problem.
  5. Shortest Distance in a Plane.sql:

    • Correctness: Correctly finds the minimum distance between any two distinct points.
    • Time Complexity: O(n^2) due to the self-join.
    • Space Complexity: O(n^2) for the Cartesian product.
    • Code Quality: Good, but could add a comment explaining the distance formula.
    • Efficiency: The self-join is necessary for this problem, but ensure the table isn't too large.

General improvements:

  • Consider using more descriptive column aliases in some queries.
  • For correlated subqueries (Game Play Analysis II), window functions might be more efficient.
  • Add brief comments explaining complex logic where helpful.

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