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I'm running the Proxy.py with pypy3 and observing that for every proxy request made through the service, around 1MB of memory is being added to the overall usage and it continues to increase over time.
When running the script using the python3 interpreter, the memory usage remains stable.
btw, it happen even when running the proxy service like this without any plugins or logics within.
with proxy.Proxy(
enable_web_server=False,
port=8081,
) as _:
proxy.sleep_loop()
Has anyone else encountered this issue before and have any suggestions for resolving it?
thanks you.
The text was updated successfully, but these errors were encountered:
@andywill222 Thank you for reporting. I haven't really tested this in pypy3 environments. FWIW, I have proxy.py server running in production with an uptime of months and years. And till date we haven't observed proxy.py leaking memory. Overtime, memory consumption by proxy.py remains constant.
Hello everyone,
I'm running the Proxy.py with
pypy3
and observing that for every proxy request made through the service, around 1MB of memory is being added to the overall usage and it continues to increase over time.When running the script using the
python3
interpreter, the memory usage remains stable.btw, it happen even when running the proxy service like this without any plugins or logics within.
Has anyone else encountered this issue before and have any suggestions for resolving it?
thanks you.
The text was updated successfully, but these errors were encountered: