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Using transactions correctly ensures data integrity while optimizing performance.

Core Principles

ACID Guarantee

Atomicity, Consistency, Isolation, Durability Maintain data integrity

Short Transactions

Only as needed Minimize lock waiting

Appropriate Isolation

Match requirements Balance performance and consistency

Error Handling

Clear rollback strategy Maintain consistent state

Transaction Scope

✅ Good Pattern: Short and Clear Scope

❌ Bad Pattern: Long Transaction

Do NOT include in transactions: - External API calls - File I/O - Email/SMS sending - Complex calculations - Slow queries

Choosing Isolation Levels

Error Handling Strategies

Pattern 1: Clear Handling with Try-Catch

Pattern 2: Recovery with Partial Rollback

Concurrency Control

Optimistic Lock

Pessimistic Lock

Deadlock Prevention

Acquire Locks in Consistent Order

Set Timeouts

Performance Optimization

Batch Processing

Read/Write Separation

Testing Strategies

Testing Transaction Rollback

Concurrency Testing

Checklist

When Designing Transactions

  • Is transaction scope minimized?
  • Are external API calls outside the transaction?
  • Is appropriate isolation level selected?
  • Is error handling clear?
  • Have you considered deadlock possibilities?

During Code Review

  • Is nested transaction necessary?
  • Is lock order consistent?
  • Are rollback scenarios clear?
  • Have you considered performance impact?
  • Are there test cases?

Anti-Patterns

1. Transaction Overuse

2. Ignoring Errors

3. Unnecessary Nesting

Next Steps

@transactional

Decorator usage

Manual Transactions

Using transaction() directly

UpsertBuilder

Saving data in transactions

Error Handling

API error handling