Thanks a lot. Seems quite obvious now that you explained it.

On Tue, Apr 7, 2015 at 12:25 PM, Akka Team <akka.offic...@gmail.com> wrote:
> Hi Rüdiger,
>
> You are waiting on the finishFuture of the foreach, but not waiting on the
> internal stream you materialize inside foreach. The finishFuture will
> complete as soon as .run() has been called on the internal stream, which is
> probably earlier than the completion of that internal stream itself. You can
> change that internal stream to use a Sink.onComplete which will return a
> Future, and then you can change the enclosing foreach to a mapAsync, so that
> the final Future completes only after the internal stream completes.
>
> -Endre
>
> On Wed, Apr 1, 2015 at 10:18 AM, rklaehn <rkla...@gmail.com> wrote:
>>
>> Hi all,
>>
>> I am trying to consume a chunked http stream from the client side. The
>> code is basically identical to the gist
>> https://gist.github.com/rklaehn/3f26c3f80e5870831f52#file-client-example
>>
>> ```scala
>>   val printChunksConsumer = Sink.foreach[HttpResponse] { res =>
>>     if(res.status == StatusCodes.OK) {
>>       println("Got 200!")
>>       if(res.entity.isChunked)
>>         println("Chunky!")
>>       res.entity.dataBytes.map { chunk =>
>>         System.out.write(chunk.toArray)
>>         System.out.flush()
>>       }.to(Sink.ignore).run()
>>     } else
>>       println(res.status)
>>   }
>> ```
>>
>> However, it seems that this still does not work. When I do a request that
>> produces a very long chunked response, the map never gets executed. I tried
>> various ways of accessing the chunks: matching on the entity and mapping the
>> chunks, dataBytes, getDataBytes. Nothing seems to make a difference. The
>> server side is definitely working. At least it works like a charm when using
>> curl.
>>
>> This is using akka-http 1.0-M5.
>>
>> Any ideas?
>>
>> Rüdiger
>>
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>
>
>
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> Akka Team
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>
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>>>>>>>>>>      Read the docs: http://akka.io/docs/
>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>>>>>      Search the archives: https://groups.google.com/group/akka-user
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