What are the common mistakes with optimistic locking?
An example of an AI chatbot conversation about common mistakes in optimistic locking.
What are the common mistakes with optimistic locking?
Common mistakes include not handling version conflicts, assuming success without checks, and poor error handling.
Can you explain how version conflicts occur?
Version conflicts happen when two transactions read the same data and try to update it simultaneously, leading to one being rejected.
How can I avoid these mistakes in my application?
To avoid mistakes, implement proper error handling, always check for version changes, and educate your team on optimistic locking.
What tools can help with implementing optimistic locking?
Tools like Hibernate, Entity Framework, and Spring Data JPA provide built-in support for optimistic locking.
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