processing a dictionary in multithreading is locked











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I'm trying to process a dictionary in a multiprocess scenario, but the process is locked and function process_data is never fired.



if __name__ == "__main__":
manager = Manager()
directoary_names = manager.dict(lock=True)
time_list = manager.list()
with lock:
ts = datetime.datetime.strptime('2018-08-21', '%Y-%m-%d')
end_ts = datetime.datetime.strptime('2018-8-21', '%Y-%m-%d')
while ts <= end_ts:
print(ts)
ts += datetime.timedelta(minutes=15)
path = os.path.join(
r'C:\ahmed\SpeedFT-meter1\peakdata\' + ts.strftime("%Y-%m-%d") + r'\peakdata_' + ts.strftime(
"%Y%m%d_%H%M") + r'.bz2')
time_list.append(ts)
directoary_names[path] = time_list.pop()

modified_dic = directoary_names
p = Pool(4)
t = p.map(process_data, modified_dic)
p.close()
p.join()









share|improve this question






















  • where is the process_data function?
    – Netwave
    Nov 8 at 11:25










  • @Netwave it just does this print(directoary_names.values())
    – andre ahmed
    Nov 8 at 11:41












  • is it multiprocesing what you are using?
    – Netwave
    Nov 8 at 11:45










  • yes, using Pool
    – andre ahmed
    Nov 8 at 11:46










  • so, if you are using multiprocesing then the IO is not taking place in your current process. try to make process_data to return the values instead of printing them
    – Netwave
    Nov 8 at 11:49

















up vote
0
down vote

favorite












I'm trying to process a dictionary in a multiprocess scenario, but the process is locked and function process_data is never fired.



if __name__ == "__main__":
manager = Manager()
directoary_names = manager.dict(lock=True)
time_list = manager.list()
with lock:
ts = datetime.datetime.strptime('2018-08-21', '%Y-%m-%d')
end_ts = datetime.datetime.strptime('2018-8-21', '%Y-%m-%d')
while ts <= end_ts:
print(ts)
ts += datetime.timedelta(minutes=15)
path = os.path.join(
r'C:\ahmed\SpeedFT-meter1\peakdata\' + ts.strftime("%Y-%m-%d") + r'\peakdata_' + ts.strftime(
"%Y%m%d_%H%M") + r'.bz2')
time_list.append(ts)
directoary_names[path] = time_list.pop()

modified_dic = directoary_names
p = Pool(4)
t = p.map(process_data, modified_dic)
p.close()
p.join()









share|improve this question






















  • where is the process_data function?
    – Netwave
    Nov 8 at 11:25










  • @Netwave it just does this print(directoary_names.values())
    – andre ahmed
    Nov 8 at 11:41












  • is it multiprocesing what you are using?
    – Netwave
    Nov 8 at 11:45










  • yes, using Pool
    – andre ahmed
    Nov 8 at 11:46










  • so, if you are using multiprocesing then the IO is not taking place in your current process. try to make process_data to return the values instead of printing them
    – Netwave
    Nov 8 at 11:49















up vote
0
down vote

favorite









up vote
0
down vote

favorite











I'm trying to process a dictionary in a multiprocess scenario, but the process is locked and function process_data is never fired.



if __name__ == "__main__":
manager = Manager()
directoary_names = manager.dict(lock=True)
time_list = manager.list()
with lock:
ts = datetime.datetime.strptime('2018-08-21', '%Y-%m-%d')
end_ts = datetime.datetime.strptime('2018-8-21', '%Y-%m-%d')
while ts <= end_ts:
print(ts)
ts += datetime.timedelta(minutes=15)
path = os.path.join(
r'C:\ahmed\SpeedFT-meter1\peakdata\' + ts.strftime("%Y-%m-%d") + r'\peakdata_' + ts.strftime(
"%Y%m%d_%H%M") + r'.bz2')
time_list.append(ts)
directoary_names[path] = time_list.pop()

modified_dic = directoary_names
p = Pool(4)
t = p.map(process_data, modified_dic)
p.close()
p.join()









share|improve this question













I'm trying to process a dictionary in a multiprocess scenario, but the process is locked and function process_data is never fired.



if __name__ == "__main__":
manager = Manager()
directoary_names = manager.dict(lock=True)
time_list = manager.list()
with lock:
ts = datetime.datetime.strptime('2018-08-21', '%Y-%m-%d')
end_ts = datetime.datetime.strptime('2018-8-21', '%Y-%m-%d')
while ts <= end_ts:
print(ts)
ts += datetime.timedelta(minutes=15)
path = os.path.join(
r'C:\ahmed\SpeedFT-meter1\peakdata\' + ts.strftime("%Y-%m-%d") + r'\peakdata_' + ts.strftime(
"%Y%m%d_%H%M") + r'.bz2')
time_list.append(ts)
directoary_names[path] = time_list.pop()

modified_dic = directoary_names
p = Pool(4)
t = p.map(process_data, modified_dic)
p.close()
p.join()






python multithreading






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 8 at 11:19









andre ahmed

257




257












  • where is the process_data function?
    – Netwave
    Nov 8 at 11:25










  • @Netwave it just does this print(directoary_names.values())
    – andre ahmed
    Nov 8 at 11:41












  • is it multiprocesing what you are using?
    – Netwave
    Nov 8 at 11:45










  • yes, using Pool
    – andre ahmed
    Nov 8 at 11:46










  • so, if you are using multiprocesing then the IO is not taking place in your current process. try to make process_data to return the values instead of printing them
    – Netwave
    Nov 8 at 11:49




















  • where is the process_data function?
    – Netwave
    Nov 8 at 11:25










  • @Netwave it just does this print(directoary_names.values())
    – andre ahmed
    Nov 8 at 11:41












  • is it multiprocesing what you are using?
    – Netwave
    Nov 8 at 11:45










  • yes, using Pool
    – andre ahmed
    Nov 8 at 11:46










  • so, if you are using multiprocesing then the IO is not taking place in your current process. try to make process_data to return the values instead of printing them
    – Netwave
    Nov 8 at 11:49


















where is the process_data function?
– Netwave
Nov 8 at 11:25




where is the process_data function?
– Netwave
Nov 8 at 11:25












@Netwave it just does this print(directoary_names.values())
– andre ahmed
Nov 8 at 11:41






@Netwave it just does this print(directoary_names.values())
– andre ahmed
Nov 8 at 11:41














is it multiprocesing what you are using?
– Netwave
Nov 8 at 11:45




is it multiprocesing what you are using?
– Netwave
Nov 8 at 11:45












yes, using Pool
– andre ahmed
Nov 8 at 11:46




yes, using Pool
– andre ahmed
Nov 8 at 11:46












so, if you are using multiprocesing then the IO is not taking place in your current process. try to make process_data to return the values instead of printing them
– Netwave
Nov 8 at 11:49






so, if you are using multiprocesing then the IO is not taking place in your current process. try to make process_data to return the values instead of printing them
– Netwave
Nov 8 at 11:49



















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