Maison > Article > développement back-end > Comment distribuer le travail sur un ensemble de threads de travail en Python ?
Pour répartir le travail entre un groupe de threads de travail, utilisez le module concurrent .futures, en particulier Classe ThreadPoolExecutor.
Avec cette alternative, vous pouvez coder manuellement votre propre logique si vous souhaitez un contrôle précis sur l'algorithme de planification. Utilisez le module de file d'attente pour créer une file d'attente contenant une liste de tâches. La classe Queue gère une liste d'objets et possède une méthode .put(obj) qui ajoute des éléments à la file d'attente et une méthode .get() qui renvoie un élément. Cette classe se chargera du verrouillage nécessaire pour garantir que chaque tâche n'est distribuée qu'une seule fois.
Voici un exemple -
import threading, queue, time # The worker thread gets jobs off the queue. When the queue is empty, it # assumes there will be no more work and exits. def worker(): print('Running worker') time.sleep(0.1) while True: try: arg = q.get(block=False) except queue.Empty: print('Worker', threading.current_thread(), end=' ') print('queue empty') break else: print('Worker', threading.current_thread(), end=' ') print('running with argument', arg) time.sleep(0.5) # Create a queue q = queue.Queue() # Start a pool of 5 workers for i in range(5): t = threading.Thread(target=worker, name='worker %i' % (i+1)) t.start() # Begin adding work to the queue for i in range(50): q.put(i) # Give threads time to run print('Main thread sleeping') time.sleep(5)
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