What are the different locking strategies in databases?
Locking strategies in databases are methods used to control access to data. The main types include pessimistic locking, optimistic locking, and row-level locking.
Can you explain pessimistic locking in more detail?
Pessimistic locking assumes that conflicts will occur, so it locks the data as soon as it is accessed, preventing other transactions from modifying it until the lock is released.
What about optimistic locking? How does it work?
Optimistic locking allows multiple transactions to access the same data simultaneously. It checks for conflicts only at the time of committing the transaction, rolling back if a conflict is detected.
Which strategy is better for high-concurrency environments?
In high-concurrency environments, optimistic locking is often preferred as it reduces the chances of deadlocks and allows for greater throughput.
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