Thanks Jagadish, just wanted to verify that this wasn't an obvious thing I
was missing. I'm also setting the AM's heap size explicitly with the
yarn.am.opts configuration parameter; in this case, I'm allowing 512MB for
the JVM on top of my heap for both the AM and the container (ie,
yarn.am.container.memory.mb=1536, yarn.am.opts=-Xmx1024m); does that sound
reasonable?

Cheers,
Malcolm McFarland
Cavulus


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Malcolm McFarland
Cavulus


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On Thu, May 23, 2019 at 10:39 PM Jagadish Venkatraman <
jagadish1...@gmail.com> wrote:

> No, the default setup should be sufficient - the number of tasks should
> have no significant impact on AM memory/resources.
>
> If you run out-of-memory, you can of course increase yarn.am.memory.mb.
>
> On Thu, May 23, 2019 at 10:45 AM Malcolm McFarland <mmcfarl...@cavulus.com
> >
> wrote:
>
> > Hey folks,
> >
> > Are there any guidelines for how to provision an Application Master in
> > relation to the number of StreamTask instances it will be managing? Ie,
> are
> > there different memory, CPU, and thread-count figures for 100S
> StreamTasks
> > vs 1000, vs 10000?
> >
> > Cheers,
> > Malcolm McFarland
> > Cavulus
> >
> >
> > This correspondence is from HealthPlanCRM, LLC, d/b/a Cavulus. Any
> > unauthorized or improper disclosure, copying, distribution, or use of the
> > contents of this message is prohibited. The information contained in this
> > message is intended only for the personal and confidential use of the
> > recipient(s) named above. If you have received this message in error,
> > please notify the sender immediately and delete the original message.
> >
>
>
> --
> Jagadish V,
> Graduate Student,
> Department of Computer Science,
> Stanford University
>

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