Hi All,
I have a single YARN application running on a cluster of 1 master
node(Resourcemanager) and 3 slave nodes (Nodemanagers) - total memory= 24GB,
total vcores= 12. I am using Hadoop 2.4.1 and scheduler is Capacity-Scheduler
with DominantResourceCalculator. This application submits 10
Hi Sunil
In MR2v, there is no job priority. There is open Jira for ApplicationPriority
that is still in progress.
https://issues.apache.org/jira/browse/YARN-1963
https://issues.apache.org/jira/browse/MAPREDUCE-5870
You need to wait untill this feature comes up!!
Thanks Regards
Rohith Sharma K
Hi guys, I'm posting this in the user mailing list since I got no reply
in the Yarn-dev. I have to model as well as possible the capacity
scheduler behavior and I have some questions, hope someone can help me
with this. In the following I will consider all containers to be equal
for
I want to make sure that the native libraries installed on the nodemanagers get
used by all yarn containers. I first found the
mapreduce.admin.{map,reduce}.child.java.opts config property and set it to:
'-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN
I bet you are not setting different Resource-Request-priorities on your
requests.
It is a current limitation (https://issues.apache.org/jira/browse/YARN-314) of
not being able to support resources of different sizes against a single
priority.
+Vinod
On Nov 3, 2014, at 1:23 AM, Smita