LLD - Design — Splitwise (Expense Sharing)
You need to design a balance calculation system that handles millions of transactions per day with real-time updates. Which design choice best supports scalability and accuracy?
You need to design a balance calculation system that handles millions of transactions per day with real-time updates. Which design choice best supports scalability and accuracy?
hard📝 Trade-off Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Consider scalability needs
Millions of transactions require efficient processing; single updates per transaction cause bottlenecks.Step 2: Evaluate batch processing benefits
Batching with distributed processing reduces load and maintains accuracy by processing groups of transactions.Step 3: Reject other options
Single DB transactions cause slowdowns, in-memory recalculation is memory-heavy and slow, ignoring debits causes incorrect balances.Final Answer:
Batch transactions and update balance periodically with distributed processing -> Option DQuick Check:
Batch + distributed processing = scalable & accurate [OK]
Quick Trick: Batch and distribute processing for large-scale balance updates [OK]
Common Mistakes:
- Updating balance per transaction causing bottlenecks
- Recalculating balance on every request wasting memory
- Ignoring debits leading to wrong balances
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