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From Radu Tudoran <radu.tudo...@huawei.com>
Subject RE: operators
Date Thu, 10 Mar 2016 13:52:51 GMT

It would not be feasible actually to use kafka queues or the DFS. Could you point me at which
level of API I could access the CoLocationConstraint? Is it accessible from the  DataSourceStream
or from the operator directly?

I have also dig  through the documentation and API and I was curious to understand a bit what
can the “slotSharingGroup” and “startNewResouceGroup()” can do.

I did not find though a good example..only this link https://issues.apache.org/jira/browse/FLINK-3315

Also, for the “slotSharingGroup” it doesn’t seem to be available (I am currently using
flink 0.10) – so if it is something that came newer than I guess this is the explanation
why I cannot find it in any of datastream api or source function

Thanks for the info.

From: ewenstephan@gmail.com [mailto:ewenstephan@gmail.com] On Behalf Of Stephan Ewen
Sent: Wednesday, March 09, 2016 6:30 PM
To: user@flink.apache.org
Subject: Re: operators


You cannot specify that on the higher API levels. The lower API levels have something called
"CoLocationConstraint". At this point it is not exposed, because we thought that would lead
to not very scalable and robust designs in many cases
The best thing usually is location transparency and local affinity (as a performance optimization).
Is the file large, i.e., would it hurt to do it on a DFS? Or actually use a Kafka Queue between
the operators?


On Wed, Mar 9, 2016 at 5:38 PM, Radu Tudoran <radu.tudoran@huawei.com<mailto:radu.tudoran@huawei.com>>

Is there any way in which you can ensure that 2 distinct operators will be executed on the
same machine?
More precisely what I am trying to do is to have a window that computes some metrics and will
dump this locally (from the operator not from an output sink) and I would like to create independent
of this (or event within the operator) a stream source to emit this data. I cannot

The schema would be something as below:

Stream ->  operator   -> output
                  Local file
                    Stream source -> new stream

.=> the red items should go on the same machine

Dr. Radu Tudoran
Research Engineer - Big Data Expert
IT R&D Division

European Research Center
Riesstrasse 25, 80992 München

E-mail: radu.tudoran@huawei.com<mailto:radu.tudoran@huawei.com>
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