How do I implement pessimistic concurrency in databases?
An example of an AI chatbot conversation about implementing pessimistic concurrency in databases.
How do I implement pessimistic concurrency in databases?
To implement pessimistic concurrency, you can use locking mechanisms to prevent other transactions from accessing the same data.
What types of locks can I use?
You can use row-level locks, table-level locks, or even application-level locks depending on your database system.
Are there any downsides to using pessimistic concurrency?
Yes, it can lead to reduced performance due to increased waiting times and potential deadlocks.
How can I avoid deadlocks when using pessimistic concurrency?
To avoid deadlocks, ensure that all transactions acquire locks in a consistent order and consider using timeout settings.
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