How do I implement concurrency control in my application?
Concurrency control is essential for managing simultaneous operations in a database. Are you using a specific database system?
Yes, I'm using PostgreSQL. What methods can I use?
In PostgreSQL, you can use optimistic concurrency control or pessimistic locking. Optimistic control allows transactions to proceed without locking, while pessimistic locking prevents other transactions from accessing the data until the lock is released.
What are the pros and cons of each method?
Optimistic concurrency is more efficient in low-contention scenarios but can lead to rollbacks. Pessimistic locking is safer in high-contention situations but can cause delays due to waiting for locks.
How do I choose the right method for my application?
Consider the level of contention in your application. If conflicts are rare, optimistic control may be best. If conflicts are frequent, pessimistic locking might be more appropriate.
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