[英]Multiprocessing in Python crashes when code reaches start()
我是Python新手。 我嘗試使用一些多處理程序來加快工作速度。 首先,我嘗試了一個例子,一切正常。 這是代碼:
from multiprocessing import Process
import time
def f(name, n, m):
if name == 'bob':
time.sleep(2)
print 'hello', name, ' ', n, m
def h():
g(1, 2, 3)
def g(a, s, d):
p = Process(target=f, args=('bob', a, s,))
t = Process(target=f, args=('helen', s, d,))
p.start()
t.start()
t.join()
p.join()
print("END")
if __name__ == '__main__':
print("Start")
h()
之后,我對代碼使用了相同的技術,並出現了錯誤。 這是有問題的代碼的一部分:
if __name__ == "__main__":
night_crawler_steam()
def night_crawler_steam():
.
.
.
multi_processing(max_pages, url, dirname)
.
.
.
def multi_processing(max_pages, url, dirname):
page = 1
while page <= max_pages:
my_url = str(url) + str(page)
soup = my_soup(my_url)
fgt = Process(target=find_game_titles, args=(soup, page, dirname,))
fl = Process(target=find_links, args=(soup, page, dirname,))
fgt.start() #<-----------Here is the problem
fl.start()
fgt.join()
fl.join()
page += 1
def find_links(soup, page, dirname):
.
.
.
def find_game_titles(soup, page, dirname):
.
.
.
當解釋器到達fgt.start()時,會出現一些錯誤:
Traceback (most recent call last):
File "C:/Users/��������/Desktop/MY PyWORK/NightCrawler/NightCrawler.py", line 120, in <module>
night_crawler_steam()
File "C:/Users/��������/Desktop/MY PyWORK/NightCrawler/NightCrawler.py", line 23, in night_crawler_steam
Traceback (most recent call last):
File "<string>", line 1, in <module>
multi_processing(max_pages, url, dirname)
File "C:/Users/��������/Desktop/MY PyWORK/NightCrawler/NightCrawler.py", line 47, in multi_processing
fgt.start()
File "C:\Python27\lib\multiprocessing\process.py", line 130, in start
self._popen = Popen(self)
File "C:\Python27\lib\multiprocessing\forking.py", line 277, in __init__
File "C:\Python27\lib\multiprocessing\forking.py", line 381, in main
dump(process_obj, to_child, HIGHEST_PROTOCOL)
File "C:\Python27\lib\multiprocessing\forking.py", line 199, in dump
self = load(from_parent)
File "C:\Python27\lib\pickle.py", line 1384, in load
ForkingPickler(file, protocol).dump(obj)
File "C:\Python27\lib\pickle.py", line 224, in dump
self.save(obj)
File "C:\Python27\lib\pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "C:\Python27\lib\pickle.py", line 425, in save_reduce
return Unpickler(file).load()
File "C:\Python27\lib\pickle.py", line 864, in load
save(state)
File "C:\Python27\lib\pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python27\lib\pickle.py", line 655, in save_dict
dispatch[key](self)
File "C:\Python27\lib\pickle.py", line 886, in load_eof
self._batch_setitems(obj.iteritems())
File "C:\Python27\lib\pickle.py", line 687, in _batch_setitems
raise EOFError
save(v)
EOFError
這一直持續到RuntimeError: maximum recursion depth exceeded
任何想法都會有所幫助!
酸洗 soup
似乎存在問題(請參閱《 編程指南》 ),因此一個簡單的解決方案是將調用my_soup(my_url)
移到目標函數中,如下所示:
def multi_processing(max_pages, url, dirname):
p=Pool() # using a pool is not necessary to fix your problem
for page in xrange(1,max_pages+1):
my_url = str(url) + str(page)
p.apply_async(find_game_titles, (my_url, page, dirname))
p.apply_async(find_links, (my_url, page, dirname))
p.close()
p.join()
def find_links(url,page, dirname):
soup=my_soup(url)
#function body from before
def find_game_titles(url, page, dirname):
soup=my_soup(url)
#function body from before
(當然,您也可以采用可腌制的格式傳遞湯,但是取決於my_soup
所做的事情,它可能值得也可能不值得。)
雖然不是完全必要,但通常將if __name__=="__main__":
部分放在文件末尾。
您也想看看multiprocessing.Pool的其他方法,因為它們可能更適合,這取決於您的功能。
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