Thank you, I will check it out.

On Thu, Nov 21, 2019, 9:21 PM Jingsong Li <jingsongl...@gmail.com> wrote:

> Hi Piper,
>
> AFAIK, There are no these flexible operations. You can get some
> information from metrics, but you can not control them.
> Maybe you should modify some source code in flink-yarn.
>
> Best,
> Jingsong Lee
>
>
> On Thu, Nov 21, 2019 at 8:17 PM Piper Piper <piperfl...@gmail.com> wrote:
>
>> Hi Jingsong,
>>
>> Thank you for your reply!
>>
>> >Is this what you want? Piper.
>>
>> Yes. This is exactly what I want.
>>
>> Is there any way for me to specify to Flink RM how much of resources to
>> ask YARN's RM for, and if we want Flink's RM to ask for resources
>> proactively before it runs out?
>> Similarly, is there any way I can force the JM to release TM back to YARN
>> before timeout?
>>
>> Or will I need to modify the source code of Flink for this?
>>
>> Thank you,
>>
>> Piper
>>
>> On Thu, Nov 21, 2019 at 2:17 AM vino yang <yanghua1...@gmail.com> wrote:
>>
>>> Hi Jingsong,
>>>
>>> Thanks for the explanation about the mechanism of the new Flink session
>>> cluster mode.
>>>
>>> Because I mostly use job cluster mode, so did not have a good knowledge
>>> of the new Flink session cluster mode.
>>>
>>> Best,
>>> Vino
>>>
>>> Jingsong Li <jingsongl...@gmail.com> 于2019年11月21日周四 下午2:46写道:
>>>
>>>> Hi Piper and Vino:
>>>>
>>>> Current Flink version, the resources of Flink Session cluster
>>>> are unrestricted, which means if the requested resources exceed the
>>>> resources owned by the current session, it will apply to the RM of yarn for
>>>> new resources.
>>>> And if TaskManager is idle for too long, JM will release it to yarn.
>>>> This behavior is controlled by resourcemanager.taskmanager-timeout . You
>>>> can set a suitable value for it to enjoy the benefits of reuse process and
>>>> dynamic resources.
>>>>
>>>> From this point of view, I think session mode is a good choice.
>>>> Is this what you want? Piper.
>>>>
>>>> Best,
>>>> Jingsong Lee
>>>>
>>>>
>>>>
>>>> On Thu, Nov 21, 2019 at 2:25 PM vino yang <yanghua1...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hi Piper,
>>>>>
>>>>> The understanding of two deploy modes For Flink on Yarn is right.
>>>>>
>>>>> AFAIK, The single job (job cluster) mode is more popular than Session
>>>>> mode.
>>>>>
>>>>> Because job cluster mode, Flink let YARN manage resources as far as
>>>>> possible. And this mode can keep isolation from other jobs.
>>>>>
>>>>> IMO, we do not need to combine their advantages. Let YARN do the
>>>>> things that it is good at. What do you think?
>>>>>
>>>>> Best,
>>>>> Vino
>>>>>
>>>>>
>>>>> Piper Piper <piperfl...@gmail.com> 于2019年11月21日周四 上午11:55写道:
>>>>>
>>>>>> Hi Vino,
>>>>>>
>>>>>> I want to implement Resource Elasticity. In doing so, I have read
>>>>>> that Flink with YARN has two modes: Job and Session.
>>>>>>
>>>>>> In Job mode, Flink’s Resource Manager requests YARN for containers
>>>>>> with TMs, and then gives the containers back to YARN upon job completion.
>>>>>>
>>>>>> In Session mode, Flink already has the TMs that are persistent.
>>>>>>
>>>>>> I want to combine the advantages of Job and Session mode, i.e. Flink
>>>>>> will have persistent TMs/containers and request YARN for more
>>>>>> TMs/containers when needed (or release TMs/containers back to YARN).
>>>>>>
>>>>>> Thank you,
>>>>>>
>>>>>> Piper
>>>>>>
>>>>>> On Wed, Nov 20, 2019 at 9:39 PM vino yang <yanghua1...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi Piper,
>>>>>>>
>>>>>>> Can you share more reason and details of your requirements.
>>>>>>>
>>>>>>> Best,
>>>>>>> Vino
>>>>>>>
>>>>>>> Piper Piper <piperfl...@gmail.com> 于2019年11月21日周四 上午5:48写道:
>>>>>>>
>>>>>>>> Hi,
>>>>>>>>
>>>>>>>> How can I make Flink's Resource Manager request YARN to spin up new
>>>>>>>> (or destroy/reclaim existing) TaskManagers in YARN containers?
>>>>>>>>
>>>>>>>> Preferably at runtime (i.e. dynamically).
>>>>>>>>
>>>>>>>> Thank you
>>>>>>>>
>>>>>>>> Piper
>>>>>>>>
>>>>>>>
>>>>
>>>> --
>>>> Best, Jingsong Lee
>>>>
>>>
>
> --
> Best, Jingsong Lee
>

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