What are the different database locking strategies?
Database locking strategies are methods used to control access to data in a database to prevent conflicts. Common strategies include optimistic locking, pessimistic locking, and row-level locking.
Can you explain optimistic and pessimistic locking?
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.
When should I use each strategy?
Use optimistic locking when conflicts are rare and performance is a priority. Pessimistic locking is better when conflicts are frequent or when data integrity is critical.
What are the potential downsides of each strategy?
Optimistic locking can lead to increased retries and potential data loss if not handled properly. Pessimistic locking can cause delays and reduce concurrency.
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