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https://issues.apache.org/jira/browse/FLINK-10884?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16704526#comment-16704526
 ] 

ASF GitHub Bot commented on FLINK-10884:
----------------------------------------

wg1026688210 commented on a change in pull request #7185: [FLINK-10884] 
[yarn/mesos]  adjust  container memory param  to set a safe margin from offheap 
memory
URL: https://github.com/apache/flink/pull/7185#discussion_r237810314
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/ContaineredTaskManagerParameters.java
 ##########
 @@ -158,8 +158,10 @@ public static ContaineredTaskManagerParameters create(
 
                // (2) split the remaining Java memory between heap and off-heap
                final long heapSizeMB = 
TaskManagerServices.calculateHeapSizeMB(containerMemoryMB - cutoffMB, config);
-               // use the cut-off memory for off-heap (that was its intention)
-               final long offHeapSizeMB = containerMemoryMB - heapSizeMB;
+               // (3) try to compute the offHeapMemory from a safe margin
+               final long restMemoryMB = containerMemoryMB - heapSizeMB;
+               final long offHeapCutoffMemory = 
calculateOffHeapCutoffMB(config, restMemoryMB);
 
 Review comment:
   Thank you for your attention. I do add a containerized.offheap-cutoff-ratio 
for two reason
    1.  it will be unfriendly for  a small memory container such as 1gb memory 
container  if we only use containerized.heap-cutoff-ratio and 
containerized.heap-cutoff-min to cutoff the memory 0f container physical memory 
.  
    2. native memory  not only  contains memory which used by rockdb state 
backend but also   memory pools are called arenas which will cost enormous 
memory in multi-core cpu machine
   as time goes on . You can use 'pmap -x {TM container pid}' command to 
validate it 
    So I want to  add a  option to  adjust memory  flexiblely  for someone who 
wana adjust both heap meomory and offheap memory to adapt the three kinds of 
memory.
   

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> Flink on yarn  TM container will be killed by nodemanager because of  the 
> exceeded  physical memory.
> ----------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-10884
>                 URL: https://issues.apache.org/jira/browse/FLINK-10884
>             Project: Flink
>          Issue Type: Bug
>          Components: Cluster Management, Core
>    Affects Versions: 1.5.5, 1.6.2, 1.7.0
>         Environment: version  : 1.6.2 
> module : flink on yarn
> centos  jdk1.8
> hadoop 2.7
>            Reporter: wgcn
>            Assignee: wgcn
>            Priority: Major
>              Labels: pull-request-available, yarn
>
> TM container will be killed by nodemanager because of  the exceeded  
> [physical|http://www.baidu.com/link?url=Y4LyfMDH59n9-Ey16Fo6EFAYltN1e9anB3y2ynhVmdvuIBCkJGdH0hTExKDZRvXNr6hqhwIXs8JjYqesYbx0BOpQDD0o1VjbVQlOC-9MgXi]
>  memory. I found the lanuch context   lanuching TM container  that  
> "container memory =   heap memory+ offHeapSizeMB"  at the class 
> org.apache.flink.runtime.clusterframework.ContaineredTaskManagerParameters   
> from line 160 to 166  I set a safety margin for the whole memory container 
> using. For example  if the container  limit 3g  memory,  the sum memory that  
>  "heap memory+ offHeapSizeMB"  is equal to  2.4g to prevent the container 
> being killed.Do we have the 
> [ready-made|http://www.baidu.com/link?url=ylC8cEafGU6DWAdU9ADcJPNugkjbx6IjtqIIxJ9foX4_Yfgc7ctWmpEpQRettVmBiOy7Wfph7S1UvN5LiJj-G1Rsb--oDw4Z2OEbA5Fj0bC]
>  solution  or I can commit my solution



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