Concurrency Tips & Tricks

Use with statement to manage locks

Starting in Python 2.5, the with statement is a far easier way to manage locks:

 1 some_lock = threading.Lock()
 2 
 3 with some_lock:
 4  do_stuff_requiring_lock()

This is equivalent to:

 1 some_lock = threading.Lock()
 2 
 3 some_lock.acquire():
 4 try:
 5  do_stuff_requiring_lock()
 6 finally:
 7  some_lock.release()

Increasing the check interval may improve performance for CPU-bound multithreaded programs, at the cost of I/O responsiveness.

Concurrency/TipsAndTricks (last edited 2009年05月19日 17:25:39 by PeterFein )