See if there is anything you can borrow from Akka Streaming API for Flink
Streams:
http://doc.akka.io/docs/akka-stream-and-http-experimental/1.0-M2/scala.html
The DSL looks good and perhaps might stimulate some ideas.
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Hi,
Is it possible to support DFF (http://ddf.io/) in Flink?
Suminda
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+1 (binding)
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Koloboke is the fastest. Also speeds may improve further.
May be you can as the library author to implement some of the features you
want as he makes that request. See:
https://github.com/OpenHFT/Koloboke/wiki/Koloboke:-roll-the-collection-implementation-with-features-you-need
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There is also https://github.com/OpenHFT/Koloboke
But I feel Flink can have its own collections which are more optimized for
Flink use cases. You can bench mark and see what works best.
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All this is good where you can swap engines but at this point I think you
should make the internal engine as good as possible to it dominated all
other engines. This way there will be not use to change.
Also relying or running on top of software designed for other ecosystems is
not a good trent. B
Why don't you have an internal engine which addresses both the concerns
raised than one over the other. Also configuration can help towards which
type of optimisation is done in cases where things are mutually exclusive.
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Great news.
But as I see it if you are looking to use Flink standalone and embedded best
is to try to have own implementation in the long run. Besides this is more
optimized or created with Hadoop and related projects in mind and is not a
simple library dependency.
Again great to see the initiati
Perhaps you can add more on this in the documentation. Embedded use in not
very clear.
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Hi,
Flink will be very useful if it is embeddable in applications and can
discover other nodes and cluster without relying on YARN or Hadoop. So it
would be an idea to make it stand alone.
Suminda
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Hi,
In response to the message exchanged in LinkedIn I am shooting a few ideas.
To make Flink a great product in the Financial as well as real time, low
latency, high throughput analytics following features would be a great help:
- Move object allocation to off heap GC does not get triggered - t
What I ment was to have stream connectors for Java Streams, Rx
(http://reactivex.io/), Reactive Streams (reactive-streams.org), JCTools
(https://github.com/JCTools/JCTools), Chronicles
(https://github.com/OpenHFT), Vertex (http://vertx.io/), Vertigo
(https://github.com/kuujo/vertigo), Akka, Quasar
Hi,
Is it possible to add interop with the following projects in Streaming:
- http://reactive-streams.org/ specification
- Java Streams
- If possible http://reactivex.io/
Suminda
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I think it is best to drop support a JVM when it reaches the end of life
cycle or some time before reaching this date (when announcement is made).
You can publish this as a policy so there is not surprises.
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