What are the differences between locking algorithms and optimistic concurrency control?

What are the differences between locking algorithms and optimistic concurrency control?

Locking algorithms prevent multiple transactions from accessing the same data simultaneously, while optimistic concurrency control allows transactions to proceed without locks, checking for conflicts before committing.

Can you give me an example of each?

Sure! In locking algorithms, a transaction might lock a row in a database until it's done. In optimistic concurrency control, a transaction would read the data, make changes, and only check for conflicts when it's ready to save.

What are the advantages of using optimistic concurrency control?

Optimistic concurrency control can lead to higher throughput and less waiting time since it doesn't lock resources. It's ideal for scenarios with low contention.

Are there any downsides to optimistic concurrency control?

Yes, if conflicts are frequent, it can lead to more rollbacks and retries, which may negate its performance benefits.