Hi,

Thanks for replying! Basically I want to limit cpu usage so that different
application don't affect each other. What's current best practice? Looks
`yarn.nodemanager.linux-container-executor.cgroups.strict-resource-usage=true`
is one way. How to set how many cpu resources to use? is it
"yarn.containers.vcores" ?

it should be -ys not -yn in original post, sorry for the typo.

Best
Lu

On Wed, Nov 6, 2019 at 1:41 AM Yang Wang <danrtsey...@gmail.com> wrote:

> If you want to limit the TaskManager container cpu usage, it is based on
> your yarn cluster configuration.
> By default, yarn only uses cpu share. You need to set
> `yarn.nodemanager.linux-container-executor.cgroups.strict-resource-usage=true`
> in yarn-site.xml of all yarn node managers.
>
>
> Best,
> Yang
>
> Victor Wong <jiasheng.w...@outlook.com> 于2019年11月6日周三 下午5:02写道:
>
>> Hi Lu,
>>
>>
>>
>> You can check out which operator thread causes the high CPU usage, and
>> set a unique slot sharing group name [1] to it to prevent too many operator
>> threads running in the same TM.
>>
>> Hope this will be helpful😊
>>
>>
>>
>> [1].
>> https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/operators/#task-chaining-and-resource-groups
>>
>>
>>
>> Best,
>>
>> Victor
>>
>>
>>
>> *From: *Vino Yang <yanghua1...@gmail.com>
>> *Date: *Wednesday, 6 November 2019 at 4:26 PM
>> *To: *Lu Niu <qqib...@gmail.com>
>> *Cc: *user <user@flink.apache.org>
>> *Subject: *Re: Limit max cpu usage per TaskManager
>>
>>
>>
>> Hi Lu,
>>
>>
>>
>> When using Flink on YARN, it will rely on YARN's resource management
>> capabilities, and Flink cannot currently limit CPU usage.
>>
>> Also, what version of Flink do you use? As far as I know, since Flink
>> 1.8, the -yn parameter will not work.
>>
>>
>>
>> Best,
>>
>> Vino
>>
>>
>>
>> Lu Niu <qqib...@gmail.com> 于2019年11月6日周三 下午1:29写道:
>>
>> Hi,
>>
>>
>>
>> When run flink application in yarn mode, is there a way to limit maximum
>> cpu usage per TaskManager?
>>
>>
>>
>> I tried this application with just source and sink operator.
>> parallelism of source is 60 and parallelism of sink is 1. When running in
>> default config, there are 60 TaskManager assigned. I notice one TaskManager
>> process cpu usage could be 200% white the rest below 50%.
>>
>>
>>
>> When I set -yn = 2 (default is 1), I notice # of TaskManger dropped down
>> to 30. and one TaskManger process cpu usage could be 600% while the rest
>> below 50%.
>>
>>
>>
>> Tried to set yarn.containers.vcores = 2,  all tasks are in start state
>> forever, application is not able to turn to running state.
>>
>>
>>
>> Best
>>
>> Lu
>>
>>

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