h AM, AM will try to cancel some pending container
> requests when current expected executor number is less. The actual
> container killing command is issued by "doRequestTotalExecutors".
>
> Not sure what is your actual problem? is it unexpected?
>
> Thanks
> Sais
Hey all,
Thanks in advance. I ran into a situation where spark driver reduced the
total executors count for my job even with dynamic allocation disabled, and
caused the job to hang for ever.
Setup:
Spark-1.3.1 on hadoop-yarn-2.4.0 cluster.
All servers in cluster running Linux version 2.6.32.
hey all,
Thanks in advance.
I am facing this issue in production, where due to increased container
request RM is reserving memory and hampering cluster utilization. Thus the
fix needs to be patched on spark 1.2.
Has any one looked in the removeContainerRequest part for allocated
containers in sp
This is because Yarn's AM client does not remove fulfilled container request
from its MAP until the application's AM specifically calls
removeContainerRequest for fulfilled container requests.
Spark-1.2 : Spark's yarn AM does not call removeContainerRequest for
fulfilled container request.
Spark-