[Twisted-Python] Performance footprint of the twisted.internet.task
Hi, I have three programs which do nothing besides a certain function/code line is executed approximately 100 times a second. Not big deal it would seem. 1: from twisted.internet import task from twisted.internet import reactor def runEverySecond(): pass l=task.LoopingCall(runEverySecond) l.start(0.01) reactor.run() 2: import time while 1: #f() time.sleep(0.01) 3: from twisted.internet import reactor def f(p): reactor.callLater(0.01,f,0) f(0) reactor.run() * * * I use version 1.3 of twisted on to of the python 2.3 and run it on Windows XP. Interestingly when executing second and third snippet the CPU utilization is not impacted while the first program leaves python taking minimal but visible 1-2% of CPU. Does anybody have any idea why it would take place? Thx, AndyL
participants (2)
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Andy Leszczynski -
Itamar Shtull-Trauring