Can you at least tell me how apache settings coordinate with mod_wsgi 
settings?

I set number of threads, processes in Apache and in mod_wsgi. How do they 
work together?

In mod_wsgi processes=5 threads=12. Does it mean 60 concurrent requests?

On Tuesday, August 11, 2020 at 10:31:56 AM UTC+3, Graham Dumpleton wrote:
>
> The problem was you had other odd requirements like having non thread safe 
> code.
>
> All I can do is suggest you watch these videos.
>
> https://www.youtube.com/watch?v=CPz0s1CQsTE&t=4s
> https://www.youtube.com/watch?v=SGleKfigMsk&t=2s
> https://www.youtube.com/watch?v=k6Erh7oHvns&t=1s
>
> There is no simple answer as one needs to know how your application works 
> and have access to performance metrics from an APM service in order to tune 
> the server.
>
> Graham
>
> On 11 Aug 2020, at 5:27 pm, Paul Royik <[email protected] <javascript:>> 
> wrote:
>
> One more question.
>
> What is a good configuration if I have 500 concurrent requests and there 
> are no long-running tasks?
>
> On Tuesday, August 11, 2020 at 9:52:39 AM UTC+3, Paul Royik wrote:
>>
>> 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]> 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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>>>>
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