For the specific case of managing long-running polling- or pubsub-based 
tasks, I would suggest basically the same pattern that others on the thread 
have already given: use a `sync.Map` to associate each task ID with a small 
struct containing a `context.CancelFunc` and a channel that can be used to 
confirm when the task has actually stopped 
(https://play.golang.org/p/Gq3SXuPFDvi).

That way you can have the invariant that after a successful call to Stop, 
the worker has completely finished all of its work. That property is 
extremely useful, for example, in writing tests and benchmarks for your 
implementation: if you can guarantee that the workers have actually stopped 
by the time Stop returns, your tests can detect unexpected deadlocks and 
your benchmarks can measure a controlled, well-defined amount of work.




On Monday, August 30, 2021 at 7:52:59 AM UTC-4 Brian Candler wrote:

> For that case, I'd suggest you pass a channel to each worker.  It can 
> either close the channel, or send a specific message down it, to indicate 
> its termination.
>
> This may also be an X-Y problem.  Generally speaking, "worker pools" are 
> an anti-pattern in Go.  The startup and termination overhead of a goroutine 
> is so tiny that often it's better just to start a goroutine when there's 
> work to be done, and let it run to completion.  The other reason you might 
> want to have a worker pool is to limit concurrency, but there are better 
> ways to do that in Go: e.g. you can have a buffered channel with N slots, 
> which the goroutine writes to before starting work and reads from when it's 
> finished. That will limit your concurrency to N tasks.
>
> Bryan C Mills discusses this in detail in this excellent video on 
> "Rethinking Classical Concurrency Patterns":
> https://www.youtube.com/watch?v=5zXAHh5tJqQ
> It took me several views with pauses to fully understand it, but it was 
> worth the effort :-)
>
> On Monday, 30 August 2021 at 12:29:26 UTC+1 sansaid wrote:
>
>> Appreciated, thanks Brian and Ian.
>>
>> On the subject of sync.WaitGroups, I haven't tackled this yet for my use 
>> case, but will use the opportunity to brainstorm some options, if that's 
>> okay. I want to be able to terminate each worker independently of others 
>> (i.e. close on worker, wait for it to finish its tasks, but allow other 
>> workers to run if they haven't been signalled to stop). Should I create a 
>> wait group per worker and store that in a map? This sounds bloated to me, 
>> especially since it's always going to be a wait group of 1, but I haven't 
>> come across better alternatives yet (relatively new to concurrency myself).
>>
>> If that's too broad a question, can come back once I've explored some 
>> options.
>>
>> On Mon, 30 Aug 2021, 12:20 Brian Candler, <b.ca...@pobox.com> wrote:
>>
>>> Also: you can use the same context for all the workers (if that's 
>>> appropriate); or if you want each worker to have a different context, you 
>>> can make those contexts children of the same top-level context.  In that 
>>> case, you only need to cancel one context and all the workers will stop, 
>>> without having to keep a map of them.
>>>
>>> Do bear in mind that you may wish to wait for the workers to finish what 
>>> they're currently doing, before the program exits.  One way to do that is 
>>> with a sync.WaitGroup, which you increment before starting each worker, and 
>>> each worker decrements just before it terminates.  Then in your main 
>>> program you wait on the WaitGroup.
>>>
>>> Typical pattern: https://play.golang.org/p/51oy7ySbL4T
>>>
>>> On Monday, 30 August 2021 at 10:01:08 UTC+1 Ian Davis wrote:
>>>
>>>>
>>>> On Sun, 29 Aug 2021, at 10:45 PM, sansaid wrote:
>>>>
>>>> Hello,
>>>>
>>>> Does anybody know of some reference code or common patterns I can use 
>>>> to keep track of worker goroutines? For context, I want a user to be able 
>>>> to issue a "stop" command using a CLI tool which will prompt my server to 
>>>> gracefully terminate one of my workers. 
>>>>
>>>> For example, when a user issues a "start" command through a CLI tool, 
>>>> this will signal my server to spawn a goroutine that perpetually runs and 
>>>> polls an HTTP endpoint until a user initiates a "stop" command. When the 
>>>> user issues a "stop" command through the same CLI tool, I want the server 
>>>> to be able to signal the goroutine to stop. Any reference code would be 
>>>> much appreciated!
>>>>
>>>> One approach I thought of was by passing a `context.WithCancel()` and 
>>>> holding a reference to the cancel function in a global map (with the 
>>>> worker 
>>>> ID as keys). When the user issues a "stop" command against the worker ID, 
>>>> another function is executed which calls the context's cancel function. 
>>>> Example code below (appreciate this is horrendously breaking a lot of 
>>>> rules, but I want to focus only on the elements around passing the cancel 
>>>> function around - happy to discuss anything else that is of concern to 
>>>> someone though):
>>>>
>>>> ```
>>>> // invoked when a CLI start subcommand is issued to my main CLI tool
>>>> func (w *WorkerGroup) Start(ctx context.Context, id string) {
>>>>   _, cancel := context.WithCancel(ctx)
>>>>
>>>>   w.Workers.Lock()
>>>>   w.Workers[id] := cancel
>>>>   w.Workers.Unlock()
>>>>
>>>>   go startWorker(id)
>>>> }
>>>>
>>>> // invoked when a CLI stop subcommand is issued to my main CLI tool
>>>> func (w *WorkerGroup) Stop(id string) {
>>>>   cancelWorker := w.Workers[id]
>>>>
>>>>   cancelWorker()
>>>> }
>>>> ``` 
>>>>
>>>> I have read that passing a context's cancel function around is a bad 
>>>> idea, but in an example like this, is it justified?
>>>>
>>>>
>>>> Passing the cancel function is fine and storing it for use later is 
>>>> fine too.
>>>>
>>>> -- 
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>>

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