Hi Tim,

In the example code you backpressure on overflow, detecting back pressure 
is tricky as it is about detecting lack of demand flowing upstream, which 
could be caused by other reasons than the buffer overflowing.

I think that if you really need to know if the buffer is full it the best 
way would be to create a custom buffering GraphStage that signals that. 

In general you should prefer the GraphStage API to using the 
ActorSubscriber and ActorPublisher abstractions unless you explicitly need 
an actor for some reason - they will force an async boundary on you and is 
easier to get wrong than the GraphStage API which explicitly deals with 
demand.

--
Johan Andrén
Akka Team, Lightbend Inc.

On Saturday, April 30, 2016 at 12:51:33 AM UTC+2, Tim Harper wrote:
>
> A pretty common thing I've to do is to call a (non-blocking, brief) 
> callback in the event of an overflow. Usually to send a quick message to 
> the logger.
>
> Here's how I normally solve the problem:
>
>   val (input, completed) = Source.actorRef[Int](0, 
> OverflowStrategy.dropNew).
>     conflate { (prior, overflown) =>
>       println(s"dropping overflown ${overflown}")
>       prior
>     }.
>     buffer(10, OverflowStrategy.backpressure).
>     async.
>     toMat(Sink.foreach { n =>
>       println(n)
>       Thread.sleep(100)
>     })(Keep.both).
>     run
>
>   (1 to 50).foreach { n =>
>     input ! n
>     println(s"sent ${n}")
>     Thread.sleep(10)
>   }
>
>
> (full source here 
> <https://gist.github.com/timcharper/74e1182badd8458d723bca4c8641280f>)
>
> But this is rather verbose. Is there a more concise way to have support 
> behavior?
>
> Another problem with this approach is that I'm creating two async 
> boundaries being created (after the actorRef, and then after the conflate); 
> that's less efficient than I'd prefer.
>
> Is the best way to do this is to create a custom ActorSubscriber ?
>
> Tim
>

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