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Checking network input processing by Python for a multi-threaded server


>>> 	Server.shutdown() sets a flag that tells the main server to /stop
>>> accepting new requests/.
>>
>> Can it be that this method should perform a bit more resource management
>> (according to the selected configuration like ?socketserver.ThreadingMixIn?)?
>>
> 	There isn't much more it can do

I see further software design possibilities.


> -- it has been a long standing axiom that killing threads is not recommended.

This data processing approach will trigger various development challenges.


>>> You may also need to code logic to ensure any handler threads have completed
>>
>> Can a class like ?BaseServer? be responsible for the determination
>> if all extra started threads (or background processes) finished their work
>> as expected?
>
> 	You are asking for changes to the Python library for a use case
> that is not common.

I find this view questionable.


> Normally connections to a server are independent and do not share common data

Would you like to clarify corresponding application statistics any further?


> -- if there is anything in common,

Do you identify any more shared functionality?


> it is likely stored in a database management system

An use case evolved into my need to work also with an ordinary Python list
variable for a simple storage interface.


> which itself will provide locking for updates,

It is nice when you can reuse such software.


> and the connection handler will have to be coded to handle retries
> if multiple connections try to update the same records.

I am not concerned about this aspect for my test case.


> Servers aren't meant to be started and shutdown at a rapid rate

Their run times can vary considerably.


> (it's called "serve_forever" for a reason).

Will an other term become more appropriate?


> 	If the socketserver module doesn't provide what you need,

It took a while to understand the observed software behaviour better.


> you are free to copy socketserver.py to some other file (myserver.py?),
> and modify it to fit your needs.

Will it help to clarify any software extensions with corresponding maintainers?


> Maybe have the function that spawns handler threads append the thread ID
> to a list, have the function that cleans up a handler thread at the end
> send its ID via a Queue object,

This approach can be reasonable to some degree.


> and have the master periodically (probably the same loop that checks
> for shutdown), read the Queue, and remove the received ID from the list
> of active threads.

I imagine that there are nicer design options available for notifications
according to thread terminations.


> On shutdown, you loop reading the Queue and removing IDs from the list
> of active threads until the list is empty.

Will a condition variable (or a semaphore) be more helpful here?


>> How much do the programming interfaces from the available classes support
>> the determination that submitted tasks were completely finished?
>>
> 	Read the library reference manual and, for those modules with Python
> source, the source files (threading.py, socketserver.py, queue.py...)
>
> 	The simpler answer is that these modules DON'T...

I suggest to improve the software situation a bit more.


> It is your responsibility.

This view can be partly appropriate.


> socketserver threading model is that the main server loops waiting
> for connection requests, when it receives a request it creates
> a handler thread, and then it completely forgets about the thread

I find that this technical detail can be better documented.


> -- the thread is independent and completes the handling of the request.

Would you occasionally like to wait on the return value from such
data processing?
(Are these threads joinable?)


> If you need to ensure everything has finished before starting
> the next server instance, you will have to write the extensions
> to socketserver.

I might achieve something myself while it can be also nice to achieve
adjustments together with other developers.


>> Should mentioned system constraints be provided already by the Python
>> function (or class) library?
>
> 	Again, the model for socketserver, especially in threaded mode, is that
> requests being handled are completely independent. shutdown() merely stops
> the master from responding to new requests.

I find this understanding of the software situation also useful.


> 	In a more normal situation, .shutdown() would be called
> and then the entire program would call exit.

* Do you expect any more functionality here than an exit from a single thread?

* Does this wording include the abortion of threads which were left over?


> It is NOT normal for a program to create a server, shut it down,
> only to then repeat the sequence.

Will your understanding of such an use case grow, too?

Regards,
Markus