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Unitech
Python threading causes memory leak in pm2
What's going wrong?
I have done some test and realized that when using threading with pm2 it causes memory leaks where it stacks up the threading instead of dumping them. I have tested both with pm2 vs normal terminal. When using threading I could see that using normal terminal would take around 60mb~ usage. While using PM2 could stack up to be over 160MB~ with the same exact code.
What I do is that when the threading is done with its task, it should be killed with a return/or sys.exit()
How could we reproduce this issue?
This is a example I have done, I'm not sure if this could replicate it but same code should give two different RAM usage even thought its the same exact code.
EDIT:
After testing on Windows. The issue still remains. I can see that it takes around 11MB~ with PM2 while with terminal/cmd it takes around 4.5MB.
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import random
import threading
import time
class Monitoring(object):
def parseNew(self):
ListsNumber = []
while True:
newtLists = random.sample(range(1, 1000), 999)
for numbers in newtLists:
if numbers not in ListsNumber:
ListsNumber.append(numbers)
threading.Thread(
target=self.threadingTest,
args=(numbers,)
).start()
else:
print("sleeping")
time.sleep(random.randint(2, 4))
def threadingTest(self, numbers):
print(numbers)
return
if __name__ == '__main__':
Monitoring().parseNew()
Supporting information
Python 3.8.2, Ubuntu 20.04.1 LTS
--- PM2 report ----------------------------------------------------------------
Date : Fri Sep 11 2020 15:45:24 GMT+0200 (Central European Summe r Time)
===============================================================================
--- Daemon -------------------------------------------------
pm2d version : 4.4.0
node version : 14.6.0
node path : /usr/bin/pm2
argv : /usr/bin/node,/usr/lib/node_modules/pm2/lib/Daemon.js
argv0 : node
user : autosnkr
uid : 1000
gid : 1000
uptime : 50586min
===============================================================================
--- CLI ----------------------------------------------------
local pm2 : 4.4.0
node version : 14.6.0
node path : /usr/bin/pm2
argv : /usr/bin/node,/usr/bin/pm2,report
argv0 : node
user : autosnkr
uid : 1000
gid : 1000
===============================================================================
--- System info --------------------------------------------
arch : x64
platform : linux
type : Linux
cpus : Intel(R) Core(TM) i7-8700T CPU @ 2.40GHz
cpus nb : 12
freemem : 1734098944
totalmem : 16617046016
home : /home/autosnkr
===============================================================================
I have posted a thread about it on Stackoverflow. It got 6 upvotes and still waiting. https://stackoverflow.com/questions/63848510/python-threading-causes-memory-leak-using-pm2
There is 0 code orchestration for Python application, basically it's just a spawn: https://github.com/Unitech/pm2/blob/master/lib/God/ForkMode.js#L118 with stdIO configured like stdio : ['pipe', 'pipe', 'pipe', 'ipc']
So I don't see how PM2 could create a leak in your app
There is 0 code orchestration for Python application, basically it's just a spawn: https://github.com/Unitech/pm2/blob/master/lib/God/ForkMode.js#L118 with stdIO configured like
stdio : ['pipe', 'pipe', 'pipe', 'ipc']So I don't see how PM2 could create a leak in your app
Hello @Unitech - I am not sure why the reason aswell but when running the script - Everytime I create a thread it adds additional RAM and after "killing/exiting" the thread. I believe that the thread somehow gets stuck instead of cleaning/garbage collection?
In the test I have provided before. When using PM2 it collects around 11MB Memory usage while without PM2 it stays at 4 MB. Meaning if we add more numbers in the test script then the PM2 memory will get increased by much more compare to without the PM2.
Also please, if there is anything more I can help you out with information you need. Let me know and I will try my best to give you all information I can get off. :)
@Unitech I have created a small script for you aswell. Here you should see over time that pm2 gets decreased RAM usage compare to without PM2:
import gc
import sys
import threading
import time
import requests
from bs4 import BeautifulSoup
class pageThread(threading.Thread):
def run(self):
res = requests.get(
"https://www.google.com/search?q=among+us&sxsrf=ALeKk03FrFRxu_Wr0bGr-w-w3UflnN30HQ:1601298873486&source=lnms&tbm=isch&sa=X&ved=2ahUKEwiSx6GU94vsAhXhkosKHXbGAK0Q_AUoAXoECBgQAw&biw=958&bih=927")
if res.status_code == 200:
print("Successful request")
page = BeautifulSoup(res.text, "lxml")
time.sleep(2)
res.close()
sys.exit()
def load():
threading.Thread(
target=pageThread().run,
).start()
while True:
load()
time.sleep(.1)
Left is without pm2 and right is pm2 :)
and as I mentioned, the pm2 keep decreasing with RAM usage while the left one is stable at 55-57MB
@Unitech I have created a small script for you aswell. Here you should see over time that pm2 gets decreased RAM usage compare to without PM2:
import gc import sys import threading import time import requests from bs4 import BeautifulSoup class pageThread(threading.Thread): def run(self): res = requests.get( "https://www.google.com/search?q=among+us&sxsrf=ALeKk03FrFRxu_Wr0bGr-w-w3UflnN30HQ:1601298873486&source=lnms&tbm=isch&sa=X&ved=2ahUKEwiSx6GU94vsAhXhkosKHXbGAK0Q_AUoAXoECBgQAw&biw=958&bih=927") if res.status_code == 200: print("Successful request") page = BeautifulSoup(res.text, "lxml") time.sleep(2) res.close() sys.exit() def load(): threading.Thread( target=pageThread().run, ).start() while True: load() time.sleep(.1)Left is without pm2 and right is pm2 :)
and as I mentioned, the pm2 keep decreasing with RAM usage while the left one is stable at 55-57MB
@Unitech
