Hi Chris,

The current stream implementation (including IO) has not yet been optimized
at all, our current focus is to settle on a set of features and user API
that is satisfactory. We know a couple of bottlenecks that we intend to
optimize later.



>    - The outbound Flow uses a custom ActorPublisher at the head of the
>    Flow and the Flow looks like this: ActorPublisher -> groupWithin -> map (to
>    fold the multiple requests into one mega request) ->
>    produceTo(outboundConnection)
>
> You don't need to include those groupWithin -> map  -- the stream TCP
element will batch up all writes arriving during the time while a previous
write finishes.

-Endre



>
>    - The Custom Publisher uses an internal Queue (a mutable
>    java.util.Queue for perf reasons) that it will add to if there is no demand
>    - The inbound Flow uses a custom ActorSubscriber at the tail of the
>    Flow and the Flow looks like this: Inbound Connection -> transform (for
>    memcached frame decoding) -> produceTo(Custom Subscriber)
>
> I know it's going to be tough to completely diagnose this issue without
> seeing my code, and I'm willing to share it, but I wanted to reach out
> first and see if this type of situation is a known issue or not.  Is there
> an issue trying to do a very high throughput single StreamTcp connection?
> FWIW, on the custom publisher, I generally only ever see the demand at 4
> when I get a Request message so it seems as if the downstream stuff is
> exhibiting significant back pressure on me.
>
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-- 
Akka Team
Typesafe - The software stack for applications that scale
Blog: letitcrash.com
Twitter: @akkateam

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