← MathWorks Interview Insights
The join itself was fine, a left join on coupon code plus a date range condition in the ON clause.
Start by clarifying the schema and business rules, then build the query in stages: join orders to coupons on code and date validity, compute the discount as the minimum of percentage-based and capped amounts, and finally apply tax on the discounted subtotal. Use a LEFT JOIN to preserve orders without valid coupons and handle NULLs appropriately.
Pro tip: Mention that you would validate the query with edge cases like orders exactly on the coupon start/end date, coupons with no max_discount, and orders with no matching coupon, to ensure correctness and avoid silent data issues.
Confirm column names, data types, and business logic: coupon matching on code, date validity inclusive, discount calculation, and tax application. Ask about NULL handling and rounding.
Use a LEFT JOIN on coupon code and order date between start_date and end_date to include all orders, even those without a valid coupon.
Calculate discount as LEAST(subtotal * discount_pct, max_discount) when coupon is valid; otherwise 0. Use COALESCE to handle NULLs from the LEFT JOIN.
Compute discounted subtotal as subtotal - discount, then final cost as discounted subtotal * 1.08. Round appropriately if needed.
Test with edge cases (boundary dates, no coupon, max_discount null) and consider indexing on coupon code and date ranges for performance.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.