While I can't provide a specific solution, it might be a better approach to
keep resource-intensive tasks separate from web2py, using a tool like
Celery. This way, these tasks can run in the background without impacting
the web server.

This is a small docx about how to put it together:
https://docs.google.com/document/d/1JXToOdSSeDlxV_ev2NYYPeVKtY8eJS2v/edit?usp=sharing&ouid=107281473670459955205&rtpof=true&sd=true

Greetings

El mar, 17 oct 2023 a las 4:43, Tom Clerckx (<tcler...@gmail.com>) escribió:

> Maybe you should review the 'high calculation/high plotly' pages for
> memory usage?
> As the 'OOM killer' kicked in, it looks like the process is using too much
> memory.
>
> One thing to verify this is to monitor the VmRSS of the processes involved
> (VmRSS is one of the fields in the output when you do 'cat
> /proc/<pid>/status')
> VmRSS gives you an idea about the amount of RAM memory your process is
> using.
>
> If it's growing out of proportion, you're claiming too much memory and the
> process will be killed by the OOM-killer.
>
>
> On Monday, October 16, 2023 at 8:15:20 PM UTC+2 lucas wrote:
>
>> hello one and all,
>>
>> i'm using web2py 2.25.1 with uwsgi 2.0.22 which was downloaded and
>> compiled using pip3 under python 3.10.12 under ubuntu 22.04.  the nginx is
>> apt installed version 1.18.
>>
>> with that being said, if i install and run my high calculation / high
>> plotly plot pages about 6 to 12 times, the whole damn system comes to a
>> crash.  hard crash.  this also seems to be the case under redhat / amazon
>> linux 2023 similar setup and config.
>>
>> so i tried crashing the system under just "python3 web2py.py -i 0.0.0.0
>> -p 80 --no_gui" and also under "uwsgi --http :80 --chdir
>> /opt/web2py_apps/web2py -w wsgihandler:application" but i could NOT get
>> either to crash.  it is only when i nginx daemon it with uwsgi and web2py
>> layered/socketed under nginx that it DOES crash hard.  i think i found
>> under the systemctl logs for uwsgi a logging of the crash, or:
>>
>> Oct 16 13:48:30 iquanta.info systemd[1]: uwsgi.service: A process of
>> this unit has been killed by the OOM killer.
>> Oct 16 13:48:30 iquanta.info uwsgi[1264]: [emperor] *** RAGNAROK EVOKED
>> ***
>> Oct 16 13:48:30 iquanta.info uwsgi[1265]: SIGINT/SIGTERM
>> received...killing workers...
>> Oct 16 13:48:30 iquanta.info uwsgi[1264]: Mon Oct 16 13:48:30 2023 -
>> [emperor] stop the uwsgi instance web2py.ini
>> Oct 16 13:48:30 iquanta.info uwsgi[1265]: Mon Oct 16 13:48:30 2023 -
>> received message 0 from emperor
>> Oct 16 13:48:31 iquanta.info uwsgi[1265]: worker 5 buried after 1 seconds
>> Oct 16 13:48:32 iquanta.info uwsgi[1265]: worker 1 buried after 2 seconds
>> Oct 16 13:48:32 iquanta.info uwsgi[1265]: worker 2 buried after 2 seconds
>> Oct 16 13:48:32 iquanta.info uwsgi[1265]: worker 3 buried after 2 seconds
>> Oct 16 13:48:32 iquanta.info uwsgi[1265]: worker 4 buried after 2 seconds
>> Oct 16 13:48:32 iquanta.info uwsgi[1265]: goodbye to uWSGI.
>> Oct 16 13:48:32 iquanta.info uwsgi[1265]: VACUUM: unix socket
>> /run/uwsgi/web2py.sock removed.
>> Oct 16 13:48:33 iquanta.info uwsgi[1264]: Mon Oct 16 13:48:33 2023 -
>> [emperor] removed uwsgi instance web2py.ini
>> Oct 16 13:48:34 iquanta.info uwsgi[1264]: Mon Oct 16 13:48:34 2023 - The
>> Emperor is buried.
>> Oct 16 13:48:34 iquanta.info systemd[1]: uwsgi.service: Failed with
>> result 'oom-kill'.
>> Oct 16 13:48:34 iquanta.info systemd[1]: uwsgi.service: Consumed 10.241s
>> CPU time.
>> Oct 16 13:48:34 iquanta.info systemd[1]: uwsgi.service: Scheduled
>> restart job, restart counter is at 1.
>> Oct 16 13:48:34 iquanta.info systemd[1]: Stopped uWSGI Emperor service.
>> Oct 16 13:48:34 iquanta.info systemd[1]: uwsgi.service: Consumed 10.241s
>> CPU time.
>>
>> with not much to say under the nginx logs.  so, does anyone know what i
>> can be dealing with?  thank you in advance, lucas
>>
> --
> Resources:
> - http://web2py.com
> - http://web2py.com/book (Documentation)
> - http://github.com/web2py/web2py (Source code)
> - https://code.google.com/p/web2py/issues/list (Report Issues)
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