What are the best practices for implementing optimistic concurrency?

What are the best practices for implementing optimistic concurrency?

Optimistic concurrency control allows multiple transactions to occur without locking resources. Best practices include using versioning, handling conflicts gracefully, and ensuring data integrity.

Can you explain how versioning works in optimistic concurrency?

Versioning involves adding a version number to each record. When updating, the system checks if the version number matches the current one in the database. If it does, the update proceeds; if not, a conflict has occurred.

What should I do if a conflict occurs?

If a conflict occurs, you can either retry the operation, prompt the user to resolve the conflict, or merge changes based on your application's logic.

Are there any specific frameworks that support optimistic concurrency?

Yes, many frameworks like Entity Framework, Hibernate, and Spring Data provide built-in support for optimistic concurrency.