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I love 2 leak py is home to over 36 million developers working together to host and review code, manage projects, and build software. Have a question about this project?

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Already on GitHub? Sign in to your account. If that is unavailable on your version of Requests please provide some basic information about your lovw Python version, operating system. What tool are you using to determine where the leak is coming I love 2 leak py

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Would you mind sharing the results? The thread pool is I have tryied with 2 - threads and memory leaks.

Im not using a tool, i just lwak this changes to the function: If you want i can send you my I love 2 leak py code is not too large. Munroc if we have the full code, then I think it would be easier to isolate the actual cause. But based on the code gist that was provided, I think it is very hard to conclude that there is a memory leak.

As you have mentioned, if you return immediately before calling session. However, once you call session.

Detecting Memory Leak in Python - Superuser

Which means, each session. However, let's say that you were using threads. Could you try daemonizing them using p.

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Otherwise, store the spawned processes in a separate array and make sure to close all of them using a loop. Do I need to I love 2 leak py p. By the way do I still need p. Ook, I was kicked from the new topic to this one, so let me join yours. May be this issue provide more information and will step up the issue solving I'm running Telegram bot and noticed the free memory degradation when running bot for a long time.

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Firstly, I suspect my code; then I suspect bot and finally I came to requests. I used len I love 2 leak py. I located the communication routines, then cleared all bot code and comes to the I love 2 leak py that raises the count of gc objects on every iteration. As a minor note, you can. I've love to learn more about it. Otherwise, you can store the Process objects separately as an array and join in the end:.

It women seeking men in malaysia incorrect pg But it does not lead to the memory leak, because cache size is limited to 20 and cache is resetting after reaching this limit and the growing number of objects will be decreased back to initial value.

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In the code given above I pass a session object around, but if I replace it with just running requests. FWIW I am also experiencing a similar memory leak as jotunskij here is more info.

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I also do have same issue where using requests. Skip to content. Dismiss Join GitHub today GitHub is home to over 36 million developers working together to host and review code, manage projects, and build software. Sign up. New issue.

Copy link Quote reply. Session session. This comment has been minimized.

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Sign in to view. Please provide us with the output of python -m requests. Are you creating a new session for every thread and what size is the threadpool you're using?

Caused computer to crash Expected Result len gc. Test N2 GetObjects len: Similar issue. Requests eats memory when running in thread.

Code to reproduce here: Same here, any work around? Sign up for free to join this conversation on GitHub. Already loge an account?

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Sign in to comment. Needs Info Propose Close. You signed in with another tab or window. Reload to refresh your session. You horney grandma out in another tab or window. Otherwise, you can store the Process objects separately as an array and join in the end: Output is: