Thanks. There *is* a version of send in Kafka that returns a Java Future.

public java.util.concurrent.Future<RecordMetadata
<https://kafka.apache.org/090/javadoc/org/apache/kafka/clients/producer/RecordMetadata.html>>
send(ProducerRecord
<https://kafka.apache.org/090/javadoc/org/apache/kafka/clients/producer/ProducerRecord.html><K
<https://kafka.apache.org/090/javadoc/org/apache/kafka/clients/producer/KafkaProducer.html>,V
<https://kafka.apache.org/090/javadoc/org/apache/kafka/clients/producer/KafkaProducer.html>>
record)

Either way, I wish one could write with maximum possible throughput without
having a "parallelism" value to tune, but I guess Kafka would have to
provide a Reactive Streams compatible API, or Akka would have to drop down
to the Kafka protocol level, assuming that is still a thing.

On Fri, Apr 28, 2017 at 7:09 AM, Akka Team <akka.offic...@gmail.com> wrote:

> The Cassandra session provides an async method session.executeAsync which
> returns a CompletableFuture/Future which makes it usable with mapAsync
> while Kafka has a callback based async api, where you trigger an action and
> pass a callback to execute when the action has completed. It would not be
> possible to use the latter with mapAsync.
>
> --
> Johan
> Akka Team
>
> On Sat, Apr 8, 2017 at 1:08 AM, Richard Rodseth <rrods...@gmail.com>
> wrote:
>
>> 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/ma
>>> in/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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