Can you explain how optimistic locking works in databases?
Sure! Optimistic locking is a concurrency control method used in databases to prevent conflicts when multiple transactions are trying to update the same data.
How does it differ from pessimistic locking?
Unlike pessimistic locking, which locks the data for the duration of a transaction, optimistic locking allows multiple transactions to proceed without locking, checking for conflicts only at the time of commit.
What happens if a conflict is detected?
If a conflict is detected, the transaction that tries to commit will fail, and it usually needs to be retried after re-fetching the latest data.
Is optimistic locking suitable for all types of applications?
It's best suited for applications with low contention for data, as it can lead to more retries in high-contention scenarios.
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