t no CPUs). Each Spark task will be
> scheduled using Mesos CPU resources, but they don't suffer much latency.
>
> iulian
>
>
> On Mon, Nov 30, 2015 at 4:17 AM, Renjie Liu <liurenjie2...@gmail.com>
> wrote:
>
>> Hi, Tim:
>> Fine grain mode is not suitable for stre
er of cores per executor with spark executor cores in fine
> grain mode.
>
> If you want coarse grain mode to support that it will
> Be supported in the near term as he coarse grain scheduler is getting
> revamped now.
>
> Tim
>
> On Nov 28, 2015, at 7:31 PM, Renjie L
g. For example,
> suppose we have 12 CPUs and 6144 MB of RAM available on a slave and that we
> want to reserve 8 CPUs and 4096 MB of RAM for the ads role. We start the
> slave like so:
>
> $ mesos-slave \
> --master=: \
> --resources="cpus:4;mem:2048;cpus(ads):8;mem(
Hi, all:
I'm trying to run spark streaming on mesos and it seems that none of the
scheduler is suitable for that. Fine grain scheduler will start an executor
for each task so it will significantly increase the latency. While coarse
grained mode can only set the max core numbers and executor memory
