How can I handle concurrency errors in my application?
Concurrency errors occur when multiple processes access shared resources simultaneously. To handle them, you can use techniques like locking, optimistic concurrency control, or versioning.
Can you explain optimistic concurrency control?
Sure! Optimistic concurrency control assumes that multiple transactions can complete without affecting each other. It checks for conflicts before committing changes, allowing for higher throughput.
What are some common strategies to implement locking?
Common strategies include pessimistic locking, where a resource is locked for exclusive access, and row-level locking, which allows multiple transactions to access different rows in a database.
How do I choose the right strategy for my application?
Choosing the right strategy depends on your application's requirements, such as the frequency of conflicts, performance needs, and the complexity of transactions.
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