What are the different locking strategies used in databases?
Locking strategies in databases are methods to control access to data, ensuring consistency and preventing conflicts.
Can you explain optimistic and pessimistic locking?
Sure! Optimistic locking assumes conflicts are rare and checks for conflicts before committing changes, while pessimistic locking prevents conflicts by locking data for the duration of a transaction.
When should I use each type of locking?
Use optimistic locking when conflicts are infrequent and performance is critical. Pessimistic locking is better for high-contention scenarios.
What are the potential downsides of each strategy?
Optimistic locking can lead to wasted work if conflicts occur, while pessimistic locking can cause delays and reduce concurrency.
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