How do I implement pessimistic concurrency in my application?
Pessimistic concurrency control involves locking resources to prevent conflicts. Are you using a specific database?
Yes, I'm using PostgreSQL. How can I lock rows during a transaction?
In PostgreSQL, you can use the SELECT FOR UPDATE
statement to lock rows. This prevents other transactions from modifying them until your transaction is complete.
What happens if another transaction tries to access those locked rows?
The other transaction will be blocked until the first transaction is committed or rolled back, ensuring data integrity.
Are there any performance considerations I should be aware of?
Yes, locking can lead to contention and reduced performance, especially under high load. It's important to keep transactions short.
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