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From Aljoscha Krettek <aljos...@apache.org>
Subject Re: Java parallel streams vs IterativeStream
Date Wed, 14 Jun 2017 14:35:51 GMT
I see, I’m afraid that is not easily possible except by doing a custom stateful function
that waits for all elements to arrive and combines them again.

Another thing you could look at is the async I/O operator: https://ci.apache.org/projects/flink/flink-docs-release-1.3/dev/stream/asyncio.html
You would not necessarily use it for I/O but spawn threads for processing your data in parallel.


> On 13. Jun 2017, at 11:20, nragon <nuno.goncalves@wedotechnologies.com> wrote:
> That would work but after FlatMap<List&lt;T>, T> I would have to downstream
> all elements into one.
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