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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