How can I handle concurrency issues in my application?
Concurrency issues occur when multiple processes access shared resources simultaneously. To handle them, you can use techniques like locking, transactions, or optimistic concurrency control.
What are the differences between optimistic and pessimistic locking?
Optimistic locking assumes that conflicts are rare and checks for conflicts before committing changes, while pessimistic locking prevents conflicts by locking resources for the duration of a transaction.
Can you give me an example of using a lock in code?
Sure! In Python, you can use the threading module to create a lock. Here's a simple example:
import threading
lock = threading.Lock()
def critical_section():
with lock:
# Code that accesses shared resources
pass
What are some common concurrency issues I should be aware of?
Common concurrency issues include race conditions, deadlocks, and livelocks. It's important to design your application to minimize these risks.
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