Hi Yang,

Session mode is working exactly as you described. No exceptions.

Thank you!

Piper


On Sun, Nov 24, 2019 at 11:24 PM Yang Wang <danrtsey...@gmail.com> wrote:

> Hi Piper,
>
> In session mode, Flink will always use the free slots in the existing
> TaskManagers first.
> When it can not full fill the slot request, new TaskManagers will be
> started.
> Did you find some exceptions?
>
> Best,
> Yang
>
> Piper Piper <piperfl...@gmail.com> 于2019年11月23日周六 上午8:52写道:
>
>> Hello Yang,
>>
>> Thank you for the explanation!
>>
>> I want to control the amount of TaskManagers in order to have finer
>> control over allowing/rejecting certain jobs in the cluster.
>>
>> In Session mode with multiple jobs, is there any way to control whether
>> Flink will fit a new job into empty slots in existing Task Managers versus
>> starting new TaskManagers for every new job?
>>
>> Thank you,
>>
>> Piper
>>
>> On Thu, Nov 21, 2019 at 10:53 PM Yang Wang <danrtsey...@gmail.com> wrote:
>>
>>> Hi Piper,
>>>
>>> Jingsong is right. Both per-job and session cluster, the
>>> YarnResourceManager will allocate
>>> taskmanager containers dynamically on demand.
>>>
>>> For per-job cluster, it will allocate taskmanagers base on the job slot
>>> demand. The excess
>>> containers will return to yarn immediately. When the job finished,
>>> jobmanager and all
>>> taskmanagers will be released.
>>> For sesion-cluster, the YarnResourceManager will not have any
>>> taskmanagers on started.
>>> Once the job is submitted, it will allocate the taskmanagers. When the
>>> job finished, the
>>> taskmanagers will enter into idle and be released after the timeout. The
>>> jobmanager will
>>> be long-running unless manually stop the session.
>>>
>>> I'm just curious why do you want to control the amounts of taskmanagers.
>>> Because they are
>>> always allocated on demand.
>>>
>>>
>>> Best,
>>> Yang
>>>
>>> Piper Piper <piperfl...@gmail.com> 于2019年11月22日周五 上午11:02写道:
>>>
>>>> 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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