What are the different locking strategies in databases?
Locking strategies in databases are methods used to control access to data during transactions. The main types include optimistic locking, pessimistic locking, and row-level locking.
Can you explain optimistic and pessimistic locking in more detail?
Sure! Optimistic locking assumes that multiple transactions can complete without affecting each other, while pessimistic locking assumes conflicts will occur and locks the data for the duration of the transaction.
What are the advantages of using optimistic locking?
Optimistic locking can improve performance by reducing the time data is locked, allowing for higher concurrency. It's ideal for scenarios with low contention.
Are there any downsides to optimistic locking?
Yes, if conflicts do occur, it can lead to increased transaction retries, which may affect performance in high contention scenarios.
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