Hi Prateek, did you change "yarn.heap-cutoff-ratio" or "yarn.heap-cutoff-ratio.min" [1]?
Cheers, Konstantin [1] https://ci.apache.org/projects/flink/flink-docs-master/setup/config.html#yarn On 01.06.2016 17:46, prateekarora wrote: > Hi > > Thanks for the reply > > i have 6 node yarn cluster with total 107.66 GB Memory and 48 vcore . > > configuration : > 5 Node : > configure each Node with 19.53 GiB ( > yarn.nodemanager.resource.memory-mb = 19.53 GB) > > 1 Node : > configure Node with 10 GiB ( yarn.nodemanager.resource.memory-mb > = 10 GB) > > > Total : around 107.66 GB > > > currently i am running my flink application using below commnad : > > flink run -m yarn-cluster -yn 15 -ytm 6144 -ys 1 > <application_jar> > > if i tried to run my application using below configuration then also > facing same issue. > > flink run -m yarn-cluster -yn 15 -ytm 4096 -ys 1 > <application_jar> > > > Regards > Prateek > > > > > > -- > View this message in context: > http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/yarn-kill-container-due-to-running-beyond-physical-memory-limits-How-can-i-debug-memory-issue-tp7296p7317.html > Sent from the Apache Flink User Mailing List archive. mailing list archive at > Nabble.com. > -- Konstantin Knauf * konstantin.kn...@tngtech.com * +49-174-3413182 TNG Technology Consulting GmbH, Betastr. 13a, 85774 Unterföhring Geschäftsführer: Henrik Klagges, Christoph Stock, Dr. Robert Dahlke Sitz: Unterföhring * Amtsgericht München * HRB 135082