本文整理汇总了Python中multiprocessing.Process.done_event方法的典型用法代码示例。如果您正苦于以下问题：Python Process.done_event方法的具体用法？Python Process.done_event怎么用？Python Process.done_event使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类multiprocessing.Process的用法示例。
在下文中一共展示了Process.done_event方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: parent_run
# 需要导入模块: from multiprocessing import Process [as 别名]
# 或者: from multiprocessing.Process import done_event [as 别名]
def parent_run():
# Make sure we can connect
conn = psycopg2.connect(conn_string)
curs = conn.cursor()
curs.execute(dummy_statement)
curs.fetchall()
curs.close()
conn.close()
# Spawn workers
children = []
result_queue = Queue()
start_lock = Event()
for i in xrange(0, n_workers):
done_event = Event()
child = Process(target=child_run, args=(i,result_queue,start_lock,done_event))
children.append(child)
child.done_event = done_event
for child in children:
child.start()
# and start them working
start_lock.set()
# wait a while for children to thrash the system
# then ask them to finish
time.sleep(10)
start_lock.clear()
# Wait until all children have reported in
sys.stderr.write("Waiting for children to complete...")
sys.stderr.flush()
for child in children:
child.done_event.wait()
sys.stderr.write(" done\n")
# Read the results
results = []
for i in range(0, len(children)):
(worker_number, num_tx) = result_queue.get(False)
results.append(num_tx)
total_tx = sum(results)
mean_tx = float(total_tx) / float(len(results))
# and wait for children to exit
for child in children:
child.join()
sys.stderr.write("Done, executed %i statements with %i conns and %i workers\n" % (total_tx, n_conns, n_workers))
sys.stderr.write("Mean tx per worker was %.2f\n" % mean_tx)