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From Stephan Ewen <se...@apache.org>
Subject Re: Latest spark yahoo benchmark
Date Mon, 26 Jun 2017 15:09:17 GMT
@nragon - I think this is a classical "benchmarketing" post. A few thoughts
on that

  - Everyone can tune their system to be best. We ran Flink with even
higher throughput than that:
https://image.slidesharecdn.com/benchmark-mapr-160407212254/95/extending-the-yahoo-streaming-benchmark-mapr-benchmarks-36-638.jpg?cb=1460064274


  - The benchmark is testing a complete toy case, with a few KBs of state.
It says little about most interesting use cases with larger state.


  - The Flink system runs the benchmark with a low latency engine that is
also capable of exactly once guarantees. A thing that does not exist the
other compared systems.


==> Test your personal application in Flink and Spark, with respect to
performance, robustness to load spikes and backpressure, ability to
operate/migrate/update, etc. I am pretty sure you will find that Flink has
a lot of very powerful unique aspects to it for streaming applications.



On Mon, Jun 19, 2017 at 12:51 AM, nragon <
nuno.goncalves@wedotechnologies.com> wrote:

> databricks.com/blog/2017/06/06/simple-super-fast-
> streaming-engine-apache-spark.html
>
> Should flink users be worry about this huge difference?
> End of microbatch with 65M benchmark.
>
>
>
> --
> View this message in context: http://apache-flink-user-
> mailing-list-archive.2336050.n4.nabble.com/Latest-spark-
> yahoo-benchmark-tp13820.html
> Sent from the Apache Flink User Mailing List archive. mailing list archive
> at Nabble.com.
>

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