This is where the problem got genuinely tricky.
Start by clarifying requirements and scale, then design a state machine for transfers with clear transitions (pending, completed, expired, refunded). Focus on data consistency and atomicity for balance updates and transfer state changes, using transactions or distributed locking. Discuss how to handle expiration and refunds reliably, and how to compute transaction totals only for completed transfers.
Pro tip: Emphasize idempotency and exactly-once processing for transfer initiation and expiration handling to avoid double-spending or double-refunding, which is critical in financial systems.
Ask about expected throughput, latency requirements, consistency needs, and whether the system is centralized or distributed. Confirm that only completed transfers count toward totals and that refunds are automatic.
Define entities: User (balance), Transfer (id, sender, recipient, amount, status, expiration, timestamps). Specify states: PENDING, COMPLETED, EXPIRED, REFUNDED, and allowed transitions.
Use database transactions or distributed transactions to atomically deduct sender balance and create pending transfer. For acceptance, atomically update transfer status and credit recipient. For expiration, atomically refund sender and mark transfer expired.
Implement a reliable mechanism (e.g., scheduled job, delayed queue, or TTL) to detect expired transfers and trigger refunds. Ensure idempotency to avoid duplicate refunds.
Maintain aggregates (e.g., total completed transfers per user) by updating them only when a transfer transitions to COMPLETED. Use event sourcing or materialized views for scalability.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.