@bingqiang This patch looks may take a few time to review. Could you create
an associate ticket in https://issues.apache.org/jira/browse/MESOS ? Thank
you!
On Tue, Dec 27, 2016 at 10:51 AM, pangbingqiang
wrote:
> Hi All:
>
> As now mesoscontainer don’t support ramdisk, we have support this
> f
It's about time for Mesos 1.2.0, given our two-month release cadence. I
volunteer to be release manager, and I'd like to get a new committer or two
to help out. Any volunteers?
I expect to cut rc1 in early January, once all Blockers (and most Critical
issues) have been resolved/deferred. Here's ho
What is the expected effect of reducing the mesosExecutor.cores to zero?
What functionality of executor is impacted? Is the impact is just that it
just behaves like a regular process?
Regards
Sumit Chawla
On Mon, Dec 26, 2016 at 9:25 AM, Michael Gummelt
wrote:
> > Using 0 for spark.mesos.mesos
Thanks a LOT, Michael!
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark 2.0 https://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Mon, Dec 26, 2016 at 10:04 PM, Michael Gummelt
wrote:
> In fine-grained mode (which is
In fine-grained mode (which is deprecated), Spark tasks (which are threads)
were implemented as Mesos tasks. When a Mesos task starts and stops, its
underlying cgroup, and therefore the resources its consuming on the
cluster, grows or shrinks based on the resources allocated to the tasks,
which in
Hi Michael,
That caught my attention...
Could you please elaborate on "elastically grow and shrink CPU usage"
and how it really works under the covers? It seems that CPU usage is
just a "label" for an executor on Mesos. Where's this in the code?
Pozdrawiam,
Jacek Laskowski
https://medium.co
> Using 0 for spark.mesos.mesosExecutor.cores is better than dynamic
allocation
Maybe for CPU, but definitely not for memory. Executors never shut down in
fine-grained mode, which means you only elastically grow and shrink CPU
usage, not memory.
On Sat, Dec 24, 2016 at 10:14 PM, Davies Liu wrot
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