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Posted to user@flink.apache.org by Piper Piper <pi...@gmail.com> on 2019/11/20 21:48:08 UTC
Dynamically creating new Task Managers in YARN
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
Re: Dynamically creating new Task Managers in YARN
Posted by Piper Piper <pi...@gmail.com>.
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 <da...@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 <pi...@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 <da...@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 <pi...@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 <ji...@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 <pi...@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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> Hi Piper,
>>>>>>>>>>>
>>>>>>>>>>> Can you share more reason and details of your requirements.
>>>>>>>>>>>
>>>>>>>>>>> Best,
>>>>>>>>>>> Vino
>>>>>>>>>>>
>>>>>>>>>>> Piper Piper <pi...@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
>>>>>
>>>>
Re: Dynamically creating new Task Managers in YARN
Posted by Yang Wang <da...@gmail.com>.
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 <pi...@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 <da...@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 <pi...@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 <ji...@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 <pi...@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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Hi Piper,
>>>>>>>>>>
>>>>>>>>>> Can you share more reason and details of your requirements.
>>>>>>>>>>
>>>>>>>>>> Best,
>>>>>>>>>> Vino
>>>>>>>>>>
>>>>>>>>>> Piper Piper <pi...@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
>>>>
>>>
Re: Dynamically creating new Task Managers in YARN
Posted by Piper Piper <pi...@gmail.com>.
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 <da...@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 <pi...@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 <ji...@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 <pi...@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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Hi Piper,
>>>>>>>>>
>>>>>>>>> Can you share more reason and details of your requirements.
>>>>>>>>>
>>>>>>>>> Best,
>>>>>>>>> Vino
>>>>>>>>>
>>>>>>>>> Piper Piper <pi...@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
>>>
>>
Re: Dynamically creating new Task Managers in YARN
Posted by Yang Wang <da...@gmail.com>.
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 <pi...@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 <ji...@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 <pi...@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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Hi Piper,
>>>>>>>>
>>>>>>>> Can you share more reason and details of your requirements.
>>>>>>>>
>>>>>>>> Best,
>>>>>>>> Vino
>>>>>>>>
>>>>>>>> Piper Piper <pi...@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
>>
>
Re: Dynamically creating new Task Managers in YARN
Posted by Piper Piper <pi...@gmail.com>.
Thank you, I will check it out.
On Thu, Nov 21, 2019, 9:21 PM Jingsong Li <ji...@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 <pi...@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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi Piper,
>>>>>>>
>>>>>>> Can you share more reason and details of your requirements.
>>>>>>>
>>>>>>> Best,
>>>>>>> Vino
>>>>>>>
>>>>>>> Piper Piper <pi...@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
>
Re: Dynamically creating new Task Managers in YARN
Posted by Jingsong Li <ji...@gmail.com>.
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 <pi...@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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Hi Piper,
>>>>>>
>>>>>> Can you share more reason and details of your requirements.
>>>>>>
>>>>>> Best,
>>>>>> Vino
>>>>>>
>>>>>> Piper Piper <pi...@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
Re: Dynamically creating new Task Managers in YARN
Posted by Piper Piper <pi...@gmail.com>.
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 <ya...@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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hi Piper,
>>>>>
>>>>> Can you share more reason and details of your requirements.
>>>>>
>>>>> Best,
>>>>> Vino
>>>>>
>>>>> Piper Piper <pi...@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
>>
>
Re: Dynamically creating new Task Managers in YARN
Posted by vino yang <ya...@gmail.com>.
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 <ji...@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 <ya...@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 <pi...@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 <ya...@gmail.com> wrote:
>>>
>>>> Hi Piper,
>>>>
>>>> Can you share more reason and details of your requirements.
>>>>
>>>> Best,
>>>> Vino
>>>>
>>>> Piper Piper <pi...@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
>
Re: Dynamically creating new Task Managers in YARN
Posted by Jingsong Li <ji...@gmail.com>.
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 <ya...@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 <pi...@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 <ya...@gmail.com> wrote:
>>
>>> Hi Piper,
>>>
>>> Can you share more reason and details of your requirements.
>>>
>>> Best,
>>> Vino
>>>
>>> Piper Piper <pi...@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
Re: Dynamically creating new Task Managers in YARN
Posted by vino yang <ya...@gmail.com>.
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 <pi...@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 <ya...@gmail.com> wrote:
>
>> Hi Piper,
>>
>> Can you share more reason and details of your requirements.
>>
>> Best,
>> Vino
>>
>> Piper Piper <pi...@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
>>>
>>
Re: Dynamically creating new Task Managers in YARN
Posted by Piper Piper <pi...@gmail.com>.
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 <ya...@gmail.com> wrote:
> Hi Piper,
>
> Can you share more reason and details of your requirements.
>
> Best,
> Vino
>
> Piper Piper <pi...@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
>>
>
Re: Dynamically creating new Task Managers in YARN
Posted by vino yang <ya...@gmail.com>.
Hi Piper,
Can you share more reason and details of your requirements.
Best,
Vino
Piper Piper <pi...@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
>