When should I use locking in databases?
An example of an AI chatbot conversation about when to use locking in databases.
When should I use locking in databases?
Locking in databases is essential when you need to prevent concurrent transactions from interfering with each other. It ensures data integrity.
Can you explain the different types of locks?
Sure! There are mainly two types of locks: shared locks, which allow multiple transactions to read data, and exclusive locks, which prevent others from accessing the data until the lock is released.
What are the potential downsides of using locks?
The main downsides include reduced concurrency, which can lead to performance bottlenecks, and the risk of deadlocks if not managed properly.
How can I avoid deadlocks when using locks?
To avoid deadlocks, ensure that all transactions acquire locks in a consistent order and consider using timeout mechanisms.
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