How do I handle concurrency in an ORM?

How do I handle concurrency in an ORM?

Handling concurrency in an ORM typically involves using techniques like optimistic locking or pessimistic locking. Would you like to know more about these methods?

Yes, can you explain optimistic locking?

Optimistic locking allows multiple transactions to proceed without locking the data. It checks for conflicts before committing changes. If a conflict is detected, the transaction is rolled back.

What about pessimistic locking?

Pessimistic locking locks the data when a transaction is initiated, preventing other transactions from accessing it until the lock is released. This can help avoid conflicts but may lead to reduced performance.

Which method is better for high-traffic applications?

For high-traffic applications, optimistic locking is often preferred as it allows for better performance and scalability, but it depends on the specific use case.