Read-Modify-Write: The Optimistic Concurrency Pattern Most ORMs Get Wrong
📰 Dev.to · Gabriel Anhaia
Learn to implement the Read-Modify-Write pattern to prevent data loss in concurrent updates, a common issue in ORMs
Action Steps
- Identify potential concurrent update scenarios in your application
- Implement the Read-Modify-Write pattern using transactions or versioning
- Use a version number or timestamp to track changes and detect conflicts
- Handle conflicts by retrying the update or notifying the user
- Test your implementation to ensure data consistency and integrity
Who Needs to Know This
Backend developers and database administrators can benefit from this knowledge to prevent data inconsistencies and losses in their applications
Key Insight
💡 The Read-Modify-Write pattern can help prevent data loss by detecting and handling conflicts in concurrent updates
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🚨 Prevent data loss in concurrent updates with the Read-Modify-Write pattern! 🚨
Key Takeaways
Learn to implement the Read-Modify-Write pattern to prevent data loss in concurrent updates, a common issue in ORMs
Full Article
Two users update the same row at the same time. One write disappears. Your dashboard says everything is fine. Here's how to actually fix it.
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