Junping Du commented on YARN-1593:

Thanks [~haibochen] for checking me on this. Actually, [~vvasudev] and I are 
working on design for this issue. We will put up a design doc for review in 
next one day or 2. It would be great if you can help to review and comments 

> support out-of-proc AuxiliaryServices
> -------------------------------------
>                 Key: YARN-1593
>                 URL: https://issues.apache.org/jira/browse/YARN-1593
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: nodemanager, rolling upgrade
>            Reporter: Ming Ma
>            Assignee: Junping Du
> AuxiliaryServices such as ShuffleHandler currently run in the same process as 
> NM. There are some benefits to host them in dedicated processes.
> 1. NM rolling restart. If we want to upgrade YARN , NM restart will force the 
> ShuffleHandler restart. If ShuffleHandler runs as a separate process, 
> ShuffleHandler can continue to run during NM restart. NM can reconnect the 
> the running ShuffleHandler after restart.
> 2. Resource management. It is possible another type of AuxiliaryServices will 
> be implemented. AuxiliaryServices are considered YARN application specific 
> and could consume lots of resources. Running AuxiliaryServices in separate 
> processes allow easier resource management. NM could potentially stop a 
> specific AuxiliaryServices process from running if it consumes resource way 
> above its allocation.
> Here are some high level ideas:
> 1. NM provides a hosting process for each AuxiliaryService. Existing 
> AuxiliaryService API doesn't change.
> 2. The hosting process provides RPC server for AuxiliaryService proxy object 
> inside NM to connect to.
> 3. When we rolling restart NM, the existing AuxiliaryService processes will 
> continue to run. NM could reconnect to the running AuxiliaryService processes 
> upon restart.
> 4. Policy and resource management of AuxiliaryServices. So far we don't have 
> immediate need for this. AuxiliaryService could run inside a container and 
> its resource utilization could be taken into account by RM and RM could 
> consider a specific type of applications overutilize cluster resource.

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