Have you had experience applying optimistic locking mechanisms in databases or synchronization systems?

Optimistic locking is a mechanism that assumes conflicts during concurrent data access are rare. Instead of locking the resource immediately, the system allows multiple transactions to work in parallel and checks upon saving whether the data has changed since it was read.

In databases, this is often implemented using a record version or timestamp. For example, each row has a version field. When updating, it checks whether the current version matches the one read earlier. If not, it means the data has changed, and the operation is rolled back or retried.

Here's an example in Java using JPA:

@Entity
public class Product {
    @Id
    private Long id;

    @Version
    private Integer version;

    private String name;
    // getters and setters
}

Attempting to update an object with an outdated version will throw an OptimisticLockException, allowing conflict handling.

This approach is useful in high-concurrency systems where locks can significantly reduce performance.