I'm still curious what, if any, advantages the ProducerStage as in
reactive-kafka has over using mapAsync as in CassandraSink. Anyone?

On Fri, Mar 31, 2017 at 7:40 AM, Richard Rodseth <rrods...@gmail.com> wrote:

> I was looking at the implementation of the reactive-kafka ProducerStage.
> Very interesting.
>
> https://github.com/akka/reactive-kafka/blob/master/
> core/src/main/scala/akka/kafka/internal/ProducerStage.scala
>
> It seems this pattern could be used for any external API that returns a
> Future.
>
> By contrast, the Alpakka CassandraSink uses mapAsyncUnordered with a
> user-supplied parallelism value.
>
> https://github.com/akka/alpakka/blob/master/cassandra/
> src/main/scala/akka/stream/alpakka/cassandra/scaladsl/CassandraSink.scala
>
> Am I correct in understanding that the ProducerStage generates demand
> (absence of backpressure) only as Futures complete, whereas the
> CassandraSink generates backpressure (absence of demand) when the
> parallelism value is reached.
>
> In the ProducerStage case, would the max number of in-flight Futures be
> limited  by the internal buffer size, as described here? :
>
> http://doc.akka.io/docs/akka/2.4.17/scala/stream/stream-
> rate.html#Internal_buffers_and_their_effect
>
> Thanks.
>

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