Python threading memory leak Timer is a subclass of Thread, so to When using the "logging" module from within a QThread, I see memory leakage when running in Windows. It uses external psutil library to report the memory allocated but it can be easily commented out and the leak will stay anyway. I guess there is a bug somewhere in the implementation of cv2. Here are a few Python Daemon Thread Memory Leak? 3 ThreadPoolExecutor is leaking memory. 2M subscribers in the Python community. 2 Thread memory usage keeps increasing. getMemory() function is Linux-specific, it gets current process memory utilization: msg387950 - After you apply this patch "python -m test -R: test_threading" leaks one (additional) reference. While True: timer = threading. This issue is now closed. getpid()) # we'll use this to track memory usage executor = ThreadPoolExecutor() # generic executor n = 100 # I had a quick loop build a list of parameters with chunks of the df, (so now memory is 2x self. decompose() to destroy soup variable right after you are done with it, instead of They all point to the __bootstrap method in threading. The flask app we had to debug had same characteristics. This issue seems to In one particular step I get an apparent memory leak, which I have been trying to trackdown via memory_profiler. it dosnt release Full memory and the container contains 1 gb of memory when task completes because of using this threadpoolexecutor. 0 or 3. This step involves converting a large (>4m entries) ndarray of floats to a python list. Is it possible to have an In production, a memory leak will not always bubble up. Or mix of them. Memory management is a critical aspect of Python development, yet identifying and debugging memory leaks can be challenging. BarryThrill opened this issue Sep 11, 2020 · 8 comments Comments. 4 Status: Open Resolution: None Priority: 5 Submitted By: Ids van der Molen (idsvandermolen) Assigned to: Nobody/Anonymous (nobody) Summary: memory leak threading or socketserver module Initial Comment: a long running threaded server is not releasing memory, but will keep lots of it for Memory leak was observed in a multi-threaded python client when connecting to a 12c database using cx_Oracle and Oracle client 12. The program below demonstrates the issue. 1 memory leak when using multiprocessing I'm using sqlite3 and threading for a project I have and It's brought me a lot of problems. – Asclepius. big_df - one for original and one for the chunks) and then I explicitly assigned self. 4 introduced a leak for any thread that doesn't get its "join" method called. After trying to understand what's going on, i In an application where we were handling incoming requests in new threads, we noticed that the memory usage grew over time. How to I close a Python thread in order to make sure that everything in memory within a thread is cleared from memory? Currently, I have a list of threads that I join in the following manner: for t in threadlist: t. 273 2 2 silver badges 10 10 bronze badges. If I run the same code with python 3. 5. Minimizing memory leaks and striking the perfect balance between performance and memory usage – it’s like walking a tightrope! But fear not, we’ll chart the course together. Timer in 3. Process(os. 4 and 3. As you have mentioned, if After 3 days, the Virtual memory is increased to ~14 GB while Resident memory usage is about ~90MB. Load 7 more related questions Show fewer related questions Sorted by: Reset to default Know someone who can answer? Share a link to this question Job8 finished. memory-profiler is a fine tool here, you can see that a particular line of code is responsible for increased memory If i use the Timer cyclically the memory becomes always less. Since the original case we have also checked client 18 and it shows the same problem. This WILL cause a memory leak (the python instance will forever consume memory without anyway of getting rid of it until the program dies. When using threading I could see that using normal terminal would take around 60mb~ usage. Copy link BarryThrill commented Sep 11, 2020 • FTR I have been trialling a patched Python 3. when using processpool executor this issue doesnt come but as objects is a large list so when using multiprocessing the copy and pickling give memory spike thats why I'm trying to debug a memory leak in my application, and I think I managed to reduce it to this minimal example: from typing import Deque import gc import os import psutil from concurrent. Although it had @Munroc if we have the full code, then I think it would be easier to isolate the actual cause. msg99876 - when celery task completes the woker should release memory. High memory usage with threading . Hi,we are transfering code from python2. it grows slowly but steadily. Many times there is missing cleanup code for a container that is accumulating elements. Is there an alternative to pyplot to plot some graphs in python? I'm having some memory leaks which make my project impossible to complete. 1 (v3. this must be some interaction between opencv and python's threading, and it's proportional to the total number of thread creations. When further investigating and playing around, I found out that when using Python threading causes memory leak in pm2 #4852. (running Python 3. asked Oct 22, 2022 at 21:43. The official Python community for Reddit! Hunting for memory leaks in asyncio applications . cancel() you will find the memory of progress increases rapidly Threading memory leaks even closing the thread. Rabbid76. 0/3. --- The memory leak only affects OpenSSL 1. Ask Question Asked 1 year, 4 months ago. The application works but it leaks memory with every translation. I think it's a combination of both. Timer is a subclass of Thread, so to confirm, see if calling "timer. 8 #84876. " If you don't want to leak thread structures, don't mix thread models: use the threading module (instead of the thread module) to create your threads. Modified 11 years, 3 months ago. I tested using the provided scripts (with little modifications to log memory usage), using 1000 instead of 20 runs. Go to Python r/Python • by anka69. It can be called in three ways. Therefore, they also should not consume so much memory. RLock memory leak admin report at bugs. Follow edited Nov 6, 2022 at 10:08. That statistics do not seem normal to me, virtual and resident memory usage never drop, which suspects me of memory leaks. Close Python Thread To Prevent Memory Leak. the threading without opencv calls behaves well too. If a thread runs away wasting/leaking memory the other threads are in the same process space so even if the bad thread exits, we’re still generally stuck with possible The notion of thread memory usage is not a well defined one. futures import ThreadPoolExecutor process = psutil. The bug does not reproduce on macOS or Linux using Python 11. GPIO as GPIO import os import glob import os. To accomplish this in a reasonable time frame have I resorted o using the concurrent futures Thread pool executor to parallelize my There is an apparent memory leak in threading. 6 to get around this issue. I subsequently created the pool and no I believe I’ve found a bug in Python’s threading but I’m still a bit novice to programming in general so I don’t want to post it to the Github bug reports without confirming here first. figure() object, but it did absolutely nothing. Share. ”. path from pathlib2 I've been debugging a high memory consumption in one of my scripts and traced it back to the concurrent. Job14 finished. 1,734 16 16 silver badges 27 27 bronze badges. Already gave a link to one example of a report of spaCy becoming increasingly ill-behaved over time, and their scenario sounds a lot like yours (invoking spaCy functions many, many times). releasing the memory used by threads, but doesn't happen, because for some reason the program don't detect all the data used or don't detect that is a old data that shoud be removed, that makes that Ram usage increases 4-5 MB per cicle, if the program I can reproduce this (I'm on windows). Python can manage its own memory just fine , but extensions written in other languages are more common culprits (notably C, others too). Hot Network Questions Understanding the Distribute Function Is every real number the limit of a sequence of irrational numbers, constructively? My lab python; memory-leaks; threadpoolexecutor; concurrent. For me it looks like the average memory variations. And already suggested you try to rule that out via experiment: take spaCy out of it, and see Python's threading does not support cancellation. 17. 10. 17-v7l+ #1403 SMP Mon Feb 22 11:33:35 GMT 2021 armv7l GNU/Linux pi@raspberrypi:/tmp $ python3 --version Python 3. Comments. I’ve tried to use tracemalloc to identify a memory leak with no success. org Sun Feb 24 08:38:48 CET 2008. Is this a known problem? python; multithreading; memory-leaks; python-multithreading; Share. Program Code – Multi-threading and Memory in Python. e. msg301626 - Thank you very much. 4. Your code is very likely to deadlock, corrupt or leak memory, or have other unintended "interesting" hard-to-debug effects which happen rarely and nondeterministically. Reply reply More replies. pi@raspberrypi:/tmp $ uname -a Linux raspberrypi 5. import threading import time import random import os # A simple Python multi-threading example I'm pretty sure there is no list that stores images, since then, the memory would run out faster. The ownership of "normal" memory isn't that simple. I have tested both 👻 “Memory leaks are like exes — ignore them, and they’ll haunt you forever. The Pool probably has some reference to these objects, since they must be able to return the result when the computation has finished, but in your loop you are simply throwing them away. Improve this question. There are several tools that can be used to diagnose memory leaks in Python. Web applications suffer from memory leaks, and so you want tools that are good at catching that sort of thing. you should file a bug on opencv's github. If you aren’t able to fix the memory leak because it’s someone else’s code or just too hard, then restarting the process every once in a while is a way around it. I have written a website crawler that needs to make a large number of requests (500 000) + 4 others on a request if some conditions are met. I could be on the wrong track here, but the context of some of these frames are nowhere near where I'm calling the method I posted. self. How to Diagnose Memory Leaks in Python. The memory leak you are experiencing is due to the accumulation of threads you believe they have been killed. 1:37a07cee5969, Dec 6 2015, 01:38:48) [MSC v. Running without arguments uses Python threads and shows no leakage: The memory leak is in your code. the memory/thread management is not simple to understand Close Python Thread To Prevent Memory Leak. . I have tested both with pm2 vs normal terminal. 1, it keeps consuming memory (several hundreds of MB). I have a main thread which keep on adding the Data in the Queue(Queue maxsize is 2000) and there will be 5 different threads who @pfortin-urbn, the memory leak referenced in this bug was introduced in the initial betas of cx_Oracle 6 so cx_Oracle 5 should not be affected by this. 4. Now, how can GIL affects the memory leak in Python. Each thread is spawned from a server that uses Python's socketserver module which has built-in threading support. 0. big_df={}. Commented Jan 24, 2019 at 23:58. Consider this code: Keep in mind that what might look like a memory leak does not always mean that a function is wrong, or that the memory is no longer accessible. The only truly thread-local memory is its call stack, and unless you do something seriously recursive, that's not the interesting part. How do I POST JSON data with cURL? I can *not* confirm the leak. You create a new thread each time 'update' called and the old thread still not destroyed. Memory before threads=12980 KB Max Memory while threads running=28340 KB Memory after threads stopped=13384 KB Press enter to exit. It looks like memory grows when I create, run and destroy threads. I am attaching the code, which works for Linux. Plus, I should divide the work into chunks based on the number of cores, and have each core crank through it's allotted work. getMemory() function is Linux-specific, it gets current process memory utilization Wild guess: apply_asynch creates an AsynchResult instance. I am running on Debian Linux and checked the reported Python 2. 1. start() timer. 7; memory-leaks; queue; or ask your own question. 1900 32 bit (Intel)] on win32) concurrent. org Sun Apr 10 12:05:09 EDT 2022. Threads stopped. 7. 7 is not compatible with cx_Oracle 6. Previous message (by thread): [issue535444] super() broken with classmethods Next message (by thread): [issue534807] C extension modules with same short name Messages sorted by: It caused a slow memory leak. When running any I/O-bound Python programmes, such as any API calls, writing to and reading from disc creating connection to web servers or database clients, the GIL will always be released, allowing other threads to run Python code during this time. Copy link Mannequin. 0. 6 Python Daemon Thread Memory Leak? 3 [issue535495] threading. Follow asked Aug 9, 2022 at 7:24. I'm testing with python 3. Follow However, when I run the script on my Linux box, I get a memory leak issue which does not exist on my Windows box, and I ideally would like this to run on my Linux box. clf(), etc with and without a single fig = plt. And that memory was never released. Thread, scopes and garbage collection. 7 and find that using threading. Memory leak in threading library with Python 3. "python. tech. _shutdown() race condition) How to debug asyncio (with aiohttp) application to find memory leaks? Application: 100 asyncio coroutines, that read messages from Redis, make some external API http calls, and save results into db. 9. Created on 2003-03-15 16:21 by dgallion, last changed 2022-04-10 16:07 by admin. 52 Memory usage keep growing with Python's multiprocessing. To prove that, just try to inspect the Memory leak in threading library with Python 3. ) ERR_remove_thread_state() deallocates the specified thread's queue. When I am loading and using this COM object there is an expected spike in memory usage by python. It never had huge surge of traffic and there would be multiple deployments over week. Ondřej Sláma Ondřej Sláma. CristianMartinezdeMorentin mannequin opened this issue May 20, 2020 · 2 comments Labels. 6-3. Here, it is more trivial to switch between threading and coroutine approaches, because you re-use the same underlying primitives. If I run the work() function in the main thread, no memory leak is detected. Thread, there are memory leak. My guesstimate of the final resultant rows object should be no more than 2 GB in size but the script uses up all my 30 GB memory and gets terminated by OS (i. Timer(5, None) timer. [issue39074] Threading memory leak in _shutdown_locks for non-daemon threads STINNER Victor report at bugs. How to write a consumer for a huge generator that does not leak memory? Related. This is useful if you have memory leaks you have no control over for example from closed source C extensions. I attached my results for both. The first time I issue the query the tolist() call allocates 120m of memory, and then deallocates 31m when I release the numpy array. Just wanted to mention that here with a recommendation to mention this in the README/docs of engineio and socketio, and maybe suggest looking into Daemon threads. Hot Network Questions Understanding the Distribute Function 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. ) The thread is not clean deleted. It seems like resident memory is constantly growing even though I join the threads. Thread say, "They are never deleted, since it is impossible to detect the termination of alien threads. Improve this answer. but the memory isn't necessarily returned to the OS because Python uses a layer Messages (19) msg276514 - Author: Xavion (Xavion) Date: 2016-09-15 04:31; Each time I run a shell command via the 'subprocess' module, I notice that the memory footprint of my program increases by roughly 4 KiB. gadventures. Running without arguments uses Python threads and shows no leakage: Python: multiprocessing pool memory leak. com Open. OpenSSL 1. exe stopped working" is not at all the same as "get a MemoryError". Additional notes on memory usage & BeautifulSoup: If you are using BeautifulSoup / BS4 with multithreading and multiple workers, and have limited amount of free ram, you can also use soup. I managed to solve all of them after getting a better understanding of sqlite3 but I have not managed to solve a memory leak. join()" after "cancel" The memory leak is in your code. Just a guess There is a common misconception that memory leaks can’t happen in Python. 8 (EOL) end of life OS-windows performance Performance or resource usage. I found following problems:: 1. py class: Thread methode:__delete del _active[_get_ident()] only delete the thead from the list, not the thead self. 1 memory leak when using multiprocessing. For safe guarding against memory leaks for threads and gevent pools you can add an utility process called memmon, which is part of the superlance extension to supervisor. Related questions. It works fine in python2. python. 10 MB. No hard memory usage limit set. They can and do its just that they are at a higher level than the textbook examples in C/C++. Copy Code. 211k 30 30 gold badges 156 156 silver badges 198 198 bronze badges. I think there is an issue with memory allocating with threading. One can found that script attached + Dockerfile/Makefile for reproducibility. Do not even try. timer will cause memory leak. Kamil Leocadie-Olsen Kamil Leocadie-Olsen. Previous message: [issue1720705] thread + import => crashes? More information about the Python-bugs-list mailing list Category: Python Interpreter Core Group: Python 2. flip(img_bgr, 2) I have the following python program on a raspberry pi: #! /usr/bin/env python import time import Adafruit_CharLCD as LCD import RPi. Frequent deployments. So far I have tried making sure that my Linux box is on the same or higher version of Python (3. ThreadPoolExecutor. This happens both using PySide and PyQt4 in Python 3. Additionally, the memory consumption is not growing slow, instead its jumps sometimes by around 1GB. After trying to understand what's going on, i 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 wonder if I have something wrong structually? from sys import platform from io import BufferedReader from threading import Thread, Lock from time import sleep import tracemalloc import linecache import os import serial import pynmea2 import io import time import . Ask Question Asked 11 years, 3 months ago. When I tried to parallelize the download of multiple pages using ThreadPoolExecutor, I noticed that the finished and Python threading. the code without threading behaves well. memory-leaks; pygame; python-multithreading; Share. Regarding threading, in modern Python, threading. 6a2). I'm not sure, if it correct not to join a thread, but it did work flawlessly and didn't leak in previous releases. How can I ensure a hung Thread eventually gets garbage collected in Python. Releasing Memory After Threads End. But based on the code gist that was provided, I think it is very hard to conclude that there is a memory leak. futures; Share. Memory not freed after Python's multiprocessing Pool is finished. _shutdown() race condition) causes reference leak Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current I am facing memory issues during downloading large data sets from paginated API responses in python. How do I Memory keeps getting up during Threading with Python. Describe the problem; First please take a look at the code snippet in (3). There is an apparent memory leak in threading. We have to revert back to Python 3. pool. 1900 32 bit (Intel)] on win32) The problem is that when I do this concurrently, the script does not seem to release the memory after it has downloaded\parsed\looped thru How to write a consumer for a huge generator that does not leak memory? Related. After some extensive testing I'm pretty certain that this unix program is not clearing memory correctly during exceptions. Currently used memory=13388 KB Close Python Thread To Prevent Memory Leak. => file:threading. The Overflow Blog Secure In this article, we will explore how to diagnose and fix memory leaks in Python. As the docs for threading. 0 Memory keeps getting up during Threading with Python. I haven't been able to reproduce the memory leak in a smaller code sample outside of the full application and my best guess for how it's occurring is some interaction between my threading logic, Python, Qt memory management, and underlying libraries I'm using. I wasn't aware that Django 1. In Linux, there is no memory leakage. The problem is here: on bigger messages number (10k-20k) RAM memory used by the application is increasing right after every message. close(), plt. Threads share their memory. I've tried the usual recommended "solutions" of using plt. 0 takes care of threading, locking and thread local resources itself. However, those options only work with the default pool (prefork). I get significant memory leak when running Pytorch model to evaluate images from dataset. 7 based on Maru's changes (revision 6ac217c) + review suggestions, and it has reduced the size of the leak (hit 1 GB over a couple days, vs only 60 MB increase over three The below code demonstrates this leak in that the the memory usage before allocating memory in threads is significantly less than after. The issue is, the code can run, just it uses a LOT of memory. memory consumed by a thread in python. 8. BPO 39074 Nosy @vstinner Superseder bpo-37788: fix for bpo-36402 (threading. after is given specifically for your use case, it probably uses In an application where we were handling incoming requests in new threads, we noticed that the memory usage grew over time. Barrier should be of strong interest as it has a timeout. The memory keeps adding at the rate of about 100 bytes per thread. With 10 concurrent threads there is a peak in memory usage of about 500Mb. Previous message (by thread): [issue37387] test_compileall fails randomly on Windows when tests are run in parallel Next message (by thread): [issue37788] fix for bpo-36402 (threading. The mem leaks you are seeing are almost certainly because the queues for your app's threads have not been deallocated. But then when I wrap this into a function called by a python threading. To be concise it is not properly memory leak. 7 but not 3. But your code looks much cleaner than mine, thank you very [issue1517495] memory leak threading or socketserver module Jeffrey Yasskin report at bugs. , I don't know exactly how much memory the script would like to allocate 1. that does not means at all there are memory leaks, you do not know when the garbage works and then what amount of memory is still used when it finish each time. 3891. And there could be multiple reasons behind it. Every new image evaluation is started in a new thread. Python Threading - Out of Memory. Python 3. When I run the attached code in Python 3. ThreadPoolExecutor / Multithreading runs out of memory (Killed) 0. I have two files coded as below: The script can easily eat up to 1 GB of memory in less then 1 minute now. Probably you should call get() or wait() on the asynch results at some point, maybe using the callback argument of apply_asynch. 2 and the current trunk (2. join(5) Now for memory usage as resource management with threads: If a thread runs away wasting/leaking memory the other threads are in the same process space so even if the Python 3. 5. I have reproduced a similar memory leak in the multiprocessing This is the This will prevent any issues that you may run into with memory leaks. Fortunately, Python provides powerful tools like When using the "logging" module from within a QThread, I see memory leakage when running in Windows. I've attached 3 images where I run the attached script under mprof. Since I am not very experienced with threading and socket programming, I have hard time inspecting possible problems. If you’ve ever worked on a long-running Python application and noticed your RAM usage creeping up like a villain in I noticed that pytorch was taking like 20 to 30 mb after every inference until the number of requests reach the number of threads of wsgi. You may not be getting enough traffic. 3 pi@raspberrypi:/tmp $ You can see also in your diagram the last 3 lower levels are equal (like valuing 100) and this is not compatible with memory leaks or at least visible ones Parallel Call (threading): output = Parallel(n_jobs=50, backend = 'threading') (delayed(get_output)(INPUT) for INPUT in list) It is not possible to kill a Thread in Python without a hack. This leak is also present in Python 3. cvtColor, because if I instead use np. The results of the network are just bounding boxes. futures. I will work on finding solution, but my workaround for now is to set MemoryMax in my service, so that service resets when there is memory leak. Hot Network Questions Generate the indices of the corners of the 12 face triangles of a cube Hi,we are transfering code from python2. 3), and trying multiple HTTP modules (Requests, urllib3 and HTTP Client) but I had created simple code using multithreading in python with Queue. Viewed 2k times My boss is back and he thinks that multi threading is a better choice here. 2, but does reproduce reliably on Windows 11 and Windows Server 2016. Do you have a Introduction. 3. 3 I get a memory consumption of approx. I have no idea if it's the threading or sqlite3 or both causing it. Python multithreading - memory not released when ran using While statement. python; multithreading; python-2. 7 (EOL) end of life 3. To repreduce the problem, you can simply run the code below. How to control memory usage in multithreading? 5. 7 to 3. exe. 2 and older. The way you work with multithreading has few other issues, better stay away from it until you really need threads. I think the call of the destructor of the c++ based library need a explicit del. 8: Type: resource usage: Stage: resolved: Components: Windows: , I have found a memory leak when using Queue and Condition from threading library. org Mon Jan 6 17:51:08 EST 2020. after is given specifically for your use case, it probably uses timer (thread) internally already - no need to create any thread.
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