I don’t think your requirements are completely specified. For example, you say 
the timeout is 100ms - nothing is ever exact - what is the tolerance in the 
delay before it is cancelled ? Are the calls in the handler even cancelable? 
What type of hardware (64+ cores?)

I think this is why you are hearing crickets. 

> On May 10, 2019, at 7:05 AM, Nathanael Curin <n.cu...@capitaldata.fr> wrote:
> 
> Good point on the implementing side of things, it's cleaner. I'm still really 
> curious of the limits and implementation details - There has to be some kind 
> of limit where things start to become erratic. If anyone wants to chime in :)
> 
> Le jeudi 9 mai 2019 17:23:27 UTC+2, Burak Serdar a écrit :
>> 
>> On Thu, May 9, 2019 at 9:03 AM Nathanael Curin <n.c...@capitaldata.fr> 
>> wrote: 
>> > 
>> > Hi everyone, 
>> > 
>> > Searching Go's documentation and this group didn't really help me find 
>> > what I'm looking for so, here goes. 
>> > 
>> > I'd like to implement a timeout system on every request to my HTTP server 
>> > that would work like this : 
>> > 
>> > Receive an http.Request, perform initial checks on validity 
>> > Start a timeout time.Timer of N milliseconds 
>> > Send the Request + a context.Context to a goroutine, answering through a 
>> > response channel when its job is done 
>> > Wait in a Select for either channel (timer.C or responseChannel) 
>> 
>> You can use context.WithTimeout() for this. You can do: 
>> 
>> request=request.WithContext(context.WithTimeout(request.Context(), 
>> 100*time.Millisecond)) 
>> 
>> and send the request to your goroutine. The context will be canceled 
>> after the timeout. During processing, you should check if the context 
>> is still alive and return if it timed out. 
>> 
>> Each timer will run it its own goroutine, so it'll take 2K of memory 
>> for each. I don't know how accurate those timers would be, though. You 
>> could record and log the difference between the time you start 
>> processing and a timeout happens and see how well it scales. 
>> 
>> When the context times out, the select waiting on the cancel channel 
>> will wake up, and then you can execute any cleanups necessary. A 
>> timeout will not "unschedule" a goroutine, it'll simply close a 
>> channel. 
>> 
>> > 
>> > If the Select goes in the responseChannel branch, I can close my timer, 
>> > and write my HTTP Response. Otherwise, my timer expired, I have to answer 
>> > to my HTTP client, close my Context, and simply discard whatever is sent 
>> > to the responseChannel afterwards, in the event that this actually 
>> > happens. 
>> > 
>> > A few questions about this implementation : 
>> > 
>> > (Technical stuff) How exactly are Timers and Tickers implemented in the 
>> > runtime / in the OS? Is there a hard limit? Soft limit? Is it CPU-bound? 
>> > Core-bound?... 
>> > If I received, let's say, 5000 queries per second, and every query has 
>> > 100ms of timeout (so, 500 potential simultaneous timers - in practice, 
>> > probably a bit more), would every timer really be perfectly stable? How 
>> > can you make sure of this, debug, and monitor timer expirations? 
>> > Last but not least, admitting that Go's scheduler actually answers 
>> > perfectly fine at the timer's expiration, how can I make sure that the end 
>> > of the code after the Select/Case runs without stopping? Can the routine 
>> > get "unscheduled" after the timer's expiration, but before writing the 
>> > HTTP Response for some reason? 
>> > 
>> > Thanks for the insight. Don't hesitate to ask for precisions if necessary. 
>> > 
>> > -- 
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>> >  
>> > For more options, visit https://groups.google.com/d/optout. 
> 
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