Python中进程间共享数据,除了基本的queue,pipe和value+array外,还提供了更高层次的封装。使用multiprocessing.Manager可以简单地使用这些高级接口。
Manager支持的类型有list,dict,Namespace,Lock,RLock,Semaphore,BoundedSemaphore,Condition,Event,Queue,Value和Array。
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import
time
import
multiprocessing
def
worker(d, key, value):
d[key]
=
value
if
__name__
=
=
'__main__'
:
print
time.strftime(
'%y-%m-%d %H:%M:%S'
, time.localtime())
mgr
=
multiprocessing.Manager()
d
=
mgr.
dict
()
jobs
=
[ multiprocessing.Process(target
=
worker, args
=
(d, i, i
*
2
))
for
i
in
range
(
10
)
]
for
j
in
jobs:
j.start()
for
j
in
jobs:
j.join()
print
(
'Results:'
)
for
key
in
dict
(d):
print
"%s->%s"
%
(key,d[key])
|
转自:http://www.cnblogs.com/itech/archive/2012/01/10/2318120.html