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@HaswathaSridharan
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@super30admin
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The student's solution demonstrates a good understanding of SQL concepts, particularly with the use of Common Table Expressions (CTEs) and window functions. Here are some specific observations:

  1. Correctness:

    • For Problem 1 (Market Analysis II), the solution correctly identifies the second item sold by each seller and checks if it matches their favorite brand. The LEFT JOIN ensures all users are included.
    • For Problem 2 (Tournament Winners), the solution correctly calculates total scores for each player and ranks them within their group.
  2. Time Complexity:

    • Both solutions involve joins and window functions, which typically operate in O(n log n) time due to sorting operations.
    • The GROUP BY in Problem 2 adds another O(n log n) operation.
  3. Space Complexity:

    • The CTEs create temporary tables, so space complexity is O(n) for storing intermediate results.
  4. Code Quality:

    • The use of CTEs improves readability.
    • Some improvements could be made:
      • In Problem 1, the column alias "2nd_item_fav_brand" should be quoted or renamed to avoid starting with a number.
      • Consistent indentation would improve readability.
      • The subquery in Problem 2 could be formatted more clearly.
  5. Efficiency:

    • Both solutions are generally efficient for their problem domains.
    • No major optimizations are immediately apparent, though using more descriptive CTE names could improve maintainability.

Edge Cases:

  • Problem 1 handles sellers with fewer than 2 orders correctly via the LEFT JOIN.
  • Problem 2 handles ties correctly with the secondary sort on player_id.

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3 participants