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From Robert Metzger <rmetz...@apache.org>
Subject Re: Improving Flink Performance
Date Thu, 26 Jan 2017 13:56:32 GMT
Hi Jonas,

The good news is that your job is completely parallelizable. So if you are
running it on a cluster, you can scale it at least to the number of Kafka
partitions you have (actually even further, because the Kafka consumers are
not the issue).

I don't think that the scala (=akka) worker threads are really the thing
that slows everything done. These threads should usually idle.
I just tried it with Visualvm (I don't own a Jprofiler license :) ) and you
can nicely see what's eating up CPU resources in my job:

On Thu, Jan 26, 2017 at 1:23 PM, Jonas <jonas@huntun.de> wrote:

> JProfiler
> --
> View this message in context: http://apache-flink-user-
> mailing-list-archive.2336050.n4.nabble.com/Improving-Flink-
> Performance-tp11248p11311.html
> Sent from the Apache Flink User Mailing List archive. mailing list archive
> at Nabble.com.

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