Hi, Rui.

Thank you for the update.
+1 for the updated edition of the FLIP page.
And thanks Zhu Zhu, Yangze Guo for the discussion. 

Best Regards.
Yuepeng Pan

On 2023/10/17 03:45:08 Rui Fan wrote:
> Hi all,
> 
> Offline discussed with Zhu Zhu, Yangze Guo, Yuepeng Pan.
> We reached consensus on slot.request.max-interval and
> taskmanager.load-balance.mode. And I have updated the FLIP.
> 
> For a detailed introduction to taskmanager.load-balance.mode,
> please refer to FLIP’s 3.1 Public Interfaces[1].
> 
> And the strategy for slot.request.max-intervel has been improved.
> The latest strategy can be referred from FLIP’s 2.2.2 Waiting mechanism[2].
> For comparison of old and new strategies, please refer to
> RejectedAlternatives[3].
> 
> Thanks again to everyone who participated in the discussion.
> Looking forward to your continued feedback.
> 
> [1]
> https://cwiki.apache.org/confluence/display/FLINK/FLIP-370%3A+Support+Balanced+Tasks+Scheduling#FLIP370:SupportBalancedTasksScheduling-3.1PublicInterfaces
> [2]
> https://cwiki.apache.org/confluence/display/FLINK/FLIP-370%3A+Support+Balanced+Tasks+Scheduling#FLIP370:SupportBalancedTasksScheduling-2.2.2Waitingmechanism
> [3]
> https://cwiki.apache.org/confluence/display/FLINK/FLIP-370%3A+Support+Balanced+Tasks+Scheduling#FLIP370:SupportBalancedTasksScheduling-RejectedAlternatives
> 
> Best,
> Rui
> 
> On Thu, Oct 12, 2023 at 9:49 AM Yuepeng Pan <panyuep...@apache.org> wrote:
> 
> > Hi, Shammon.
> > Thanks for your feedback.
> >
> > >1. This mechanism will be only supported in `SlotPool` or both `SlotPool`
> > and `DeclarativeSlotPool`?
> >
> > As described on the FLIP page, the current design plans to introduce the
> > waiting mechanism only in the `SlotPool`, because the existing
> > `WaitingForResources` can already achieve this effect.
> >
> > >Currently the two slot pools are used in different schedulers.
> >
> > Yes, that's indeed the case.
> >
> > >I think this will also bring value to `DeclarativeSlotPool`, but
> > currently FLIP content seems to be based on `SlotPool`, right?
> >
> > Yes. your expectations are indeed reasonable. In theory, the
> > `DeclarativeSlotPool` could also benefit from a waiting mechanism, as
> > discussed. The purpose of introducing the waiting mechanism is to enable
> > the `SlotPool` to have a global view to calculate the globally optimal
> > solution. I've rechecked the relevant logic in the `AdaptiveScheduler`, and
> > as I understand, the existing mechanisms already fulfill the current
> > feature requirements. You could find more conclusions on this in FLIP
> > `3.2.5`. Of course, I'd be appreciated with your confirmation. If there's
> > any misunderstanding on my part, please correct me.
> >
> > >2. ... What should be done when the slot selected by the round-robin
> > strategy cannot meet the resource requirements?
> >
> > Is this referring to the phase of task-to-slot allocation? I'm not quite
> > sure, would you mind explaining it? Thanks~.
> >
> > >3. Is the assignment of tasks to slots balanced based on region or job
> > level?
> >
> > Currently, there is no specific handling based on regions, and there is no
> > job-level balancing. The target effect of the current feature is to achieve
> > load balancing based on the number of tasks at the Task Manager (TM) level.
> > Looking forward to any suggestions regarding the item you mentioned.
> >
> > >When multiple TMs fail over, will it cause the balancing strategy to fail
> > or even worse?
> >
> > IIUC, when multiple Task Managers undergo failover, the results after
> > successful recovery will still be maintained in a relatively balanced state.
> >
> > >What is the current processing strategy?
> >
> > The Slot-to-TM strategy does not change after a Task Manager undergoes
> > failover.
> >
> > Best, Regards.
> > Yuepeng Pan
> >
> > On 2023/09/28 05:10:13 Shammon FY wrote:
> > > Thanks Yuepeng for initiating this discussion.
> > >
> > > +1 in general too, in fact we have implemented a similar mechanism
> > > internally to ensure a balanced allocation of tasks to slots, it works
> > well.
> > >
> > > Some comments about the mechanism
> > >
> > > 1. This mechanism will be only supported in `SlotPool` or both `SlotPool`
> > > and `DeclarativeSlotPool`? Currently the two slot pools are used in
> > > different schedulers. I think this will also bring value to
> > > `DeclarativeSlotPool`, but currently FLIP content seems to be based on
> > > `SlotPool`, right?
> > >
> > > 2. In fine-grained resource management, we can set different resource
> > > requirements for different nodes, which means that the resources of each
> > > slot are different. What should be done when the slot selected by the
> > > round-robin strategy cannot meet the resource requirements? Will this
> > lead
> > > to the failure of the balance strategy?
> > >
> > > 3. Is the assignment of tasks to slots balanced based on region or job
> > > level? When multiple TMs fail over, will it cause the balancing strategy
> > to
> > > fail or even worse? What is the current processing strategy?
> > >
> > > For Zhuzhu and Rui:
> > >
> > > IIUC, the overall balance is divided into two parts: slot to TM and task
> > to
> > > slot.
> > > 1. Slot to TM is guaranteed by SlotManager in ResourceManager
> > > 2. Task to slot is guaranteed by the slot pool in JM
> > >
> > > These two are completely independent, what are the benefits of unifying
> > > these two into one option? Also, do we want to share the same
> > > option between SlotPool in JM and SlotManager in RM? This sounds a bit
> > > strange.
> > >
> > > Best,
> > > Shammon FY
> > >
> > >
> > >
> > > On Thu, Sep 28, 2023 at 12:08 PM Rui Fan <1996fan...@gmail.com> wrote:
> > >
> > > > Hi Zhu Zhu,
> > > >
> > > > Thanks for your feedback here!
> > > >
> > > > You are right, user needs to set 2 options:
> > > > - cluster.evenly-spread-out-slots=true
> > > > - slot.sharing-strategy=TASK_BALANCED_PREFERRED
> > > >
> > > > Update it to one option is useful at user side, so
> > > > `taskmanager.load-balance.mode` sounds good to me.
> > > > I want to check some points and behaviors about this option:
> > > >
> > > > 1. The default value is None, right?
> > > > 2. When it's set to Tasks, how to assign slots to TM?
> > > > - Option1: It's just check task number
> > > > - Option2: It''s check the slot number first, then check the
> > > > task number when the slot number is the same.
> > > >
> > > > Giving an example to explain what's the difference between them:
> > > >
> > > > - A session cluster has 2 flink jobs, they are jobA and jobB
> > > > - Each TM has 4 slots.
> > > > - The task number of one slot of jobA is 3
> > > > - The task number of one slot of jobB is 1
> > > > - We have 2 TaskManagers:
> > > >   - tm1 runs 3 slots of jobB, so tm1 runs 3 tasks
> > > >   - tm2 runs 1 slot of jobA, and 1 slot of jobB, so tm2 runs 4 tasks.
> > > >
> > > > Now, we need to run a new slot, which tm should offer it?
> > > > - Option1: If we just check the task number, the tm1 is better.
> > > > - Option2: If we check the slot number first, and then check task, the
> > tm2
> > > > is better
> > > >
> > > > The original FLIP selected option2, that's why we didn't add the
> > > > third option. The option2 didn't break the semantics when
> > > > `cluster.evenly-spread-out-slots` is true, and it just improve the
> > > > behavior without the semantics is changed.
> > > >
> > > > In the other hands, if we choose option2, when user set
> > > > `taskmanager.load-balance.mode` is Tasks. It also can achieve
> > > > the goal when it's Slots.
> > > >
> > > > So I think the `Slots` enum isn't needed if we choose option2.
> > > > Of course, If we choose the option1, the enum is needed.
> > > >
> > > > Looking forward to your feedback, thanks~
> > > >
> > > > Best,
> > > > Rui
> > > >
> > > > On Wed, Sep 27, 2023 at 9:11 PM Zhu Zhu <reed...@gmail.com> wrote:
> > > >
> > > > > Thanks Yuepeng and Rui for creating this FLIP.
> > > > >
> > > > > +1 in general
> > > > > The idea is straight forward: best-effort gather all the slot
> > requests
> > > > > and offered slots to form an overview before assigning slots, trying
> > to
> > > > > balance the loads of task managers when assigning slots.
> > > > >
> > > > > I have one comment regarding the configuration for ease of use:
> > > > >
> > > > > IIUC, this FLIP uses an existing config
> > 'cluster.evenly-spread-out-slots'
> > > > > as the main switch of the new feature. That is, from user
> > perspective,
> > > > > with this improvement, the 'cluster.evenly-spread-out-slots' feature
> > not
> > > > > only balances the number of slots on task managers, but also
> > balances the
> > > > > number of tasks. This is a behavior change anyway. Besides that, it
> > also
> > > > > requires users to set 'slot.sharing-strategy' to
> > > > 'TASK_BALANCED_PREFERRED'
> > > > > to balance the tasks in each slot.
> > > > >
> > > > > I think we can introduce a new config option
> > > > > `taskmanager.load-balance.mode`,
> > > > > which accepts "None"/"Slots"/"Tasks".
> > `cluster.evenly-spread-out-slots`
> > > > > can be superseded by the "Slots" mode and get deprecated. In the
> > future
> > > > > it can support more mode, e.g. "CpuCores", to work better for jobs
> > with
> > > > > fine-grained resources. The proposed config option
> > > > > `slot.request.max-interval`
> > > > > then can be renamed to
> > > > > `taskmanager.load-balance.request-stablizing-timeout`
> > > > > to show its relation with the feature. The proposed
> > > > `slot.sharing-strategy`
> > > > > is not needed, because the configured "Tasks" mode will do the work.
> > > > >
> > > > > WDYT?
> > > > >
> > > > > Thanks,
> > > > > Zhu Zhu
> > > > >
> > > > > Yuepeng Pan <panyuep...@apache.org> 于2023年9月25日周一 16:26写道:
> > > > >
> > > > >> Hi all,
> > > > >>
> > > > >>
> > > > >> I and Fan Rui(CC’ed) created the FLIP-370[1] to support balanced
> > tasks
> > > > >> scheduling.
> > > > >>
> > > > >>
> > > > >> The current strategy of Flink to deploy tasks sometimes leads some
> > > > >> TMs(TaskManagers) to have more tasks while others have fewer tasks,
> > > > >> resulting in excessive resource utilization at some TMs that contain
> > > > more
> > > > >> tasks and becoming a bottleneck for the entire job processing.
> > > > Developing
> > > > >> strategies to achieve task load balancing for TMs and reducing job
> > > > >> bottlenecks becomes very meaningful.
> > > > >>
> > > > >>
> > > > >> The raw design and discussions could be found in the Flink JIRA[2]
> > and
> > > > >> Google doc[3]. We really appreciate Zhu Zhu(CC’ed) for providing
> > some
> > > > >> valuable help and suggestions in advance.
> > > > >>
> > > > >>
> > > > >> Please refer to the FLIP[1] document for more details about the
> > proposed
> > > > >> design and implementation. We welcome any feedback and opinions on
> > this
> > > > >> proposal.
> > > > >>
> > > > >>
> > > > >> [1]
> > > > >>
> > > >
> > https://cwiki.apache.org/confluence/display/FLINK/FLIP-370%3A+Support+Balanced+Tasks+Scheduling
> > > > >>
> > > > >> [2] https://issues.apache.org/jira/browse/FLINK-31757
> > > > >>
> > > > >> [3]
> > > > >>
> > > >
> > https://docs.google.com/document/d/14WhrSNGBdcsRl3IK7CZO-RaZ5KXU2X1dWqxPEFr3iS8
> > > > >>
> > > > >>
> > > > >> Best,
> > > > >>
> > > > >> Yuepeng Pan
> > > > >>
> > > > >
> > > >
> > >
> >
> 

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