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From Haripriya Ayyalasomayajula <>
Subject Re: Controlling number of executors on Mesos vs YARN
Date Tue, 11 Aug 2015 06:38:13 GMT
Hi Tim,

Spark on Yarn allows us to do it using --num-executors and --executor_cores
commandline arguments. I just got a chance to look at a similar spark user
list mail, but no answer yet. So does mesos allow setting the number of
executors and cores? Is there a default number it assumes?

On Mon, Jan 5, 2015 at 5:07 PM, Tim Chen <> wrote:

> Forgot to hit reply-all.
> ---------- Forwarded message ----------
> From: Tim Chen <>
> Date: Sun, Jan 4, 2015 at 10:46 PM
> Subject: Re: Controlling number of executors on Mesos vs YARN
> To: mvle <>
> Hi Mike,
> You're correct there is no such setting in for Mesos coarse grain mode,
> since the assumption is that each node is launched with one container and
> Spark is launching multiple tasks in that container.
> In fine-grain mode there isn't a setting like that, as it currently will
> launch an executor as long as it satisfies the minimum container resource
> requirement.
> I've created a JIRA earlier about capping the number of executors or
> better distribute the # of executors launched in each node. Since the
> decision of choosing what node to launch containers is all in the Spark
> scheduler side, it's very easy to modify it.
> Btw, what's the configuration to set the # of executors on YARN side?
> Thanks,
> Tim
> On Sun, Jan 4, 2015 at 9:37 PM, mvle <> wrote:
>> I'm trying to compare the performance of Spark running on Mesos vs YARN.
>> However, I am having problems being able to configure the Spark workload
>> to
>> run in a similar way on Mesos and YARN.
>> When running Spark on YARN, you can specify the number of executors per
>> node. So if I have a node with 4 CPUs, I can specify 6 executors on that
>> node. When running Spark on Mesos, there doesn't seem to be an equivalent
>> way to specify this. In Mesos, you can somewhat force this by specifying
>> the
>> number of CPU resources to be 6 when running the slave daemon. However,
>> this
>> seems to be a static configuration of the Mesos cluster rather something
>> that can be configured in the Spark framework.
>> So here is my question:
>> For Spark on Mesos, am I correct that there is no way to control the
>> number
>> of executors per node (assuming an idle cluster)? For Spark on Mesos
>> coarse-grained mode, there is a way to specify max_cores but that is still
>> not equivalent to specifying the number of executors per node as when
>> Spark
>> is run on YARN.
>> If I am correct, then it seems Spark might be at a disadvantage running on
>> Mesos compared to YARN (since it lacks the fine tuning ability provided by
>> YARN).
>> Thanks,
>> Mike
>> --
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Haripriya Ayyalasomayajula

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