Python Multiprocessing Memory Leak
0
I've searched all over stackoverflow for answers about python multiprocessing but have yet to find a solution to my memory leak.
As far as I know, map_async and map will close the worker and release memory per each file in my list of files. Why is that my memory usage continues to increase when the code below is run?
number_of_workers = 4
files =
for file in glob.glob("*.txt"):
files.append(file)
def bleualign(file):
cmd = "python3 '../bleualign/bleualign.py' -f file -params X"
os.system(cmd)
cmd = "python3 '../bleualign/bleualign.py' -f file -params Y"
os.system(cmd)
def multicore():
mypool = Pool(processes=number_of_workers, maxtasksperchild=1)
mypool.map_async(bleualign, files, chunksize=1)
mypool.close()
mypool.join()
if __name__=='__main__':
multicore()
python multiprocessing
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
add a comment |
0
I've searched all over stackoverflow for answers about python multiprocessing but have yet to find a solution to my memory leak.
As far as I know, map_async and map will close the worker and release memory per each file in my list of files. Why is that my memory usage continues to increase when the code below is run?
number_of_workers = 4
files =
for file in glob.glob("*.txt"):
files.append(file)
def bleualign(file):
cmd = "python3 '../bleualign/bleualign.py' -f file -params X"
os.system(cmd)
cmd = "python3 '../bleualign/bleualign.py' -f file -params Y"
os.system(cmd)
def multicore():
mypool = Pool(processes=number_of_workers, maxtasksperchild=1)
mypool.map_async(bleualign, files, chunksize=1)
mypool.close()
mypool.join()
if __name__=='__main__':
multicore()
python multiprocessing
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
Your workers don't even use that file variable.
– Sraw
Nov 25 '18 at 22:00
So why do you think ‘python’ is the problem?
– barny
Nov 25 '18 at 22:03
@barny After more debugging, I'm starting to think the memory leak is with bleualign.py
– echan00
Nov 25 '18 at 22:07
@Sraw doesn't "mypool.map_async(bleualign, files, chunksize=1)" take in files array appended with each file?
– echan00
Nov 25 '18 at 22:07
Oh. really? Can't say that's too much of a surprise.
– barny
Nov 25 '18 at 23:23
add a comment |
0
0
0
I've searched all over stackoverflow for answers about python multiprocessing but have yet to find a solution to my memory leak.
As far as I know, map_async and map will close the worker and release memory per each file in my list of files. Why is that my memory usage continues to increase when the code below is run?
number_of_workers = 4
files =
for file in glob.glob("*.txt"):
files.append(file)
def bleualign(file):
cmd = "python3 '../bleualign/bleualign.py' -f file -params X"
os.system(cmd)
cmd = "python3 '../bleualign/bleualign.py' -f file -params Y"
os.system(cmd)
def multicore():
mypool = Pool(processes=number_of_workers, maxtasksperchild=1)
mypool.map_async(bleualign, files, chunksize=1)
mypool.close()
mypool.join()
if __name__=='__main__':
multicore()
python multiprocessing
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
I've searched all over stackoverflow for answers about python multiprocessing but have yet to find a solution to my memory leak.
As far as I know, map_async and map will close the worker and release memory per each file in my list of files. Why is that my memory usage continues to increase when the code below is run?
number_of_workers = 4
files =
for file in glob.glob("*.txt"):
files.append(file)
def bleualign(file):
cmd = "python3 '../bleualign/bleualign.py' -f file -params X"
os.system(cmd)
cmd = "python3 '../bleualign/bleualign.py' -f file -params Y"
os.system(cmd)
def multicore():
mypool = Pool(processes=number_of_workers, maxtasksperchild=1)
mypool.map_async(bleualign, files, chunksize=1)
mypool.close()
mypool.join()
if __name__=='__main__':
multicore()
python multiprocessing
python multiprocessing
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
asked Nov 25 '18 at 21:05
echan00echan00
1,2021819
1,2021819
Your workers don't even use that file variable.
– Sraw
Nov 25 '18 at 22:00
So why do you think ‘python’ is the problem?
– barny
Nov 25 '18 at 22:03
@barny After more debugging, I'm starting to think the memory leak is with bleualign.py
– echan00
Nov 25 '18 at 22:07
@Sraw doesn't "mypool.map_async(bleualign, files, chunksize=1)" take in files array appended with each file?
– echan00
Nov 25 '18 at 22:07
Oh. really? Can't say that's too much of a surprise.
– barny
Nov 25 '18 at 23:23
add a comment |
Your workers don't even use that file variable.
– Sraw
Nov 25 '18 at 22:00
So why do you think ‘python’ is the problem?
– barny
Nov 25 '18 at 22:03
@barny After more debugging, I'm starting to think the memory leak is with bleualign.py
– echan00
Nov 25 '18 at 22:07
@Sraw doesn't "mypool.map_async(bleualign, files, chunksize=1)" take in files array appended with each file?
– echan00
Nov 25 '18 at 22:07
Oh. really? Can't say that's too much of a surprise.
– barny
Nov 25 '18 at 23:23
Your workers don't even use that file variable.
– Sraw
Nov 25 '18 at 22:00
Your workers don't even use that file variable.
– Sraw
Nov 25 '18 at 22:00
So why do you think ‘python’ is the problem?
– barny
Nov 25 '18 at 22:03
So why do you think ‘python’ is the problem?
– barny
Nov 25 '18 at 22:03
@barny After more debugging, I'm starting to think the memory leak is with bleualign.py
– echan00
Nov 25 '18 at 22:07
@barny After more debugging, I'm starting to think the memory leak is with bleualign.py
– echan00
Nov 25 '18 at 22:07
@Sraw doesn't "mypool.map_async(bleualign, files, chunksize=1)" take in files array appended with each file?
– echan00
Nov 25 '18 at 22:07
@Sraw doesn't "mypool.map_async(bleualign, files, chunksize=1)" take in files array appended with each file?
– echan00
Nov 25 '18 at 22:07
Oh. really? Can't say that's too much of a surprise.
– barny
Nov 25 '18 at 23:23
Oh. really? Can't say that's too much of a surprise.
– barny
Nov 25 '18 at 23:23
add a comment |
0
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Your workers don't even use that file variable.
– Sraw
Nov 25 '18 at 22:00
So why do you think ‘python’ is the problem?
– barny
Nov 25 '18 at 22:03
@barny After more debugging, I'm starting to think the memory leak is with bleualign.py
– echan00
Nov 25 '18 at 22:07
@Sraw doesn't "mypool.map_async(bleualign, files, chunksize=1)" take in files array appended with each file?
– echan00
Nov 25 '18 at 22:07
Oh. really? Can't say that's too much of a surprise.
– barny
Nov 25 '18 at 23:23