Implement a database schema for transaction state machines by creating separate tables for transactions, states, and state transitions with immutable audit logs. Store current state as a denormalized field while maintaining complete state history for regulatory compliance and dispute resolution.
How It Works in Practice
- 1Create a transactions table with immutable core fields (ID, amount, currency, created_at) and a mutable current_state field for fast lookups
- 2Design a transaction_state_history table to log every state change with timestamps, previous_state, new_state, and triggering_event fields
- 3Implement state validation constraints using database check constraints or triggers to prevent invalid state transitions like moving from 'settled' to 'pending'
- 4Configure read replicas for state history queries to isolate reporting workloads from real-time transaction processing
Common Pitfalls
Storing state history in the main transactions table creates performance bottlenecks and violates PCI DSS audit trail requirements for payment card transactions
Using soft deletes or mutable state records can invalidate regulatory compliance audits and create data integrity issues during concurrent updates
Key Metrics
| Metric | Formula |
|---|---|
| State Query Latency | Average response time for SELECT current_state FROM transactions WHERE id = ? |
| State Transition Success Rate | Successful state changes / Total attempted state changes × 100 |
| Audit Trail Completeness | Transactions with complete state history / Total transactions × 100 |
Related Terms
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