Thank you for your help.

On Tuesday, August 11, 2020 at 8:30:27 AM UTC+3, Graham Dumpleton wrote:
>
> If it is a minor quick running script that does something simple it should 
> be okay. It is just having long running processes would be more concerned 
> about.
>
> On 11 Aug 2020, at 3:18 pm, Paul Royik <[email protected] <javascript:>> 
> wrote:
>
> You are absolutely correct. Need to change the architecture.
> One more question. I also use subprocess.check_output from django. Is it 
> also bad idea? I'm trying to run a script (non-python) and get it output.
>
> On Tuesday, August 11, 2020 at 1:55:51 AM UTC+3, Graham Dumpleton wrote:
>>
>> Personally I would be concerned about the architecture you are using if 
>> you have long running tasks like you describe. It is not usually a good 
>> idea to use 'multiprocessing.Process' to create sub processes directly from 
>> a web server process to perform work. A better architecture would be to off 
>> load the work into a queue using something like Celery and have the 
>> separate job processing system pull the jobs from the queue and process 
>> them. You would also be better off to model the interaction from the front 
>> end as queueing the job and immediately responding with an acknowledgement 
>> to say is queued. The front end can then start polling periodically to see 
>> if the job has finished, and when it has it would get the response back. 
>> The front end can then display the data or save it locally as needed.
>>
>> This model avoids the problem of requests being parked doing nothing for 
>> a long time, which with your server configuration is going to be hugely 
>> expensive on memory and not scale very well because of limitations of using 
>> WSGI process/threading model. You might even consider not using a WSGI 
>> application at all. Instead, use an async web application paired with 
>> Celery for execution of the jobs. Using an async web application means you 
>> can handle as many parked requests as you want and they can quite happily 
>> sit there waiting for Celery to finish the job and don't need to use 
>> polling. Only thing am not sure about in that is what async clients there 
>> are for Celery.
>>
>> Graham
>>
>> On 10 Aug 2020, at 9:09 pm, Paul Royik <[email protected]> wrote:
>>
>> My django app makes heavy calculations which can be infinite.
>> That's why, when user enters the site, i.e. makes a request, heavy 
>> calculations are wrapped into multiprocessing.Process which runs at most 7 
>> seconds.
>> I can't use threads, because third-party packages are not thread-safe.
>>
>> So, I have around 30 concurrent requests per second. If each request can 
>> take up to 7 seconds, then it is 30*7=210 concurrent requests in the worst 
>> case.
>> Each of these concurrent requests opens  multiprocessing.Process, which 
>> gives (I guess) 210*2=420 (close to 500) concurrent requests in the worst 
>> case.
>> That' how I got 500 requests. Possibly, my calculations are incorrect.
>>
>> Average page load time (average response times) is 10 seconds. 
>>
>> I use MPM worker.
>>
>> I set WSGIProcessGroup
>>
>> StartServers 100
>> ServerLimit 500
>>
>> ThreadsPerChild 1
>> ThreadLimit 1
>>
>> MaxRequestWorkers 500
>> MaxConnectionsPerChild 10000
>>
>> WSGIApplicationGroup %{GLOBAL}
>> WSGIDaemonProcess django_app processes=75 threads=1 python-path='...' 
>> maximum-requests=10000 request-timeout=20
>> WSGIProcessGroup django_app
>>
>> WSGIRestrictEmbedded On
>> WSGILazyInitialization On
>>
>>
>>
>> On Monday, August 10, 2020 at 1:12:30 PM UTC+3, Graham Dumpleton wrote:
>>>
>>> What sort of application are you running?
>>>
>>> What is your average response times?
>>>
>>> Do you have long running requests, if yes, how long?
>>>
>>> What Apache MPM are you actually using?
>>>
>>> My initial impression is that is a quite poor configuration which is 
>>> only going to chew up huge amounts of memory for no good reason, but I 
>>> don't know your application requirements.
>>>
>>> Also, are you even setting WSGIProcessGroup?  If it isn't set it makes 
>>> the whole daemon process configuration moot as it isn't even being used.
>>>
>>> On 10 Aug 2020, at 7:24 pm, Paul Royik <[email protected]> wrote:
>>>
>>> StartServers 50
>>> ServerLimit 200
>>>
>>> ThreadsPerChild 1
>>> ThreadLimit 1
>>>
>>> MaxRequestWorkers 200
>>> MaxConnectionsPerChild 10000
>>>
>>> WSGIApplicationGroup %{GLOBAL}
>>> WSGIDaemonProcess process processes=75 threads=1
>>>
>>>
>>>
>>> Is it enough? Or can it handle only 75 concurrent requests? I don't know 
>>> how to synchronize apache and mod_wsgi settings. 
>>>
>>>
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>>>
>>>
>>>
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