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https://issues.apache.org/jira/browse/FLINK-36640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matyas Orhidi updated FLINK-36640:
----------------------------------
    Description: 
FLINK-32589 introduced a feature to carry over parallelism overrides between 
application upgrades. This serves pretty well on the happy path preventing 
users from clearing the actual parallelism settings on regular updates. However 
in certain scenarios users may actually want to reset the parallelism to an 
initial or desired state to force the application out of an unwanted scaling 
state. 

Such unwanted state can be a too large parallelism that causes throttling, or 
similar. The current workaround needs to upgrade steps by setting 
`job.autoscaler.enabled: false` and then `job.autoscaler.enabled: true` again. 
We could combine it with a `autoscalerReset` nonce. We could also reintroduce 
the config with manual vertex parallelism settings to be able to reset to a 
configurable state, similar to what we do when starting a job from specific 
Kafka offsets.

  was:FLINK-32589 introduced a feature to carry over parallelism overrides 
between application upgrades. This serves pretty well on the happy path 
preventing users from clearing the actual parallelism settings on regular 
updates. However in certain scenarios users may actually want to reset the 
parallelism to an initial or desired state to force the application out of an 
unwanted scaling state. Such unwanted state can be a too large parallelism that 
causes throttling, or similar. The current workaround needs to upgrade steps by 
setting `job.autoscaler.enabled: false` and then `job.autoscaler.enabled: true` 
again. We could combine it with a `autoscalerReset` nonce. We could also 
reintroduce the config with manual vertex parallelism settings to be able to 
reset to a configurable state, similar to what we do when starting a job from 
specific Kafka offsets.


> Provide an easy way to reset autoscaling
> ----------------------------------------
>
>                 Key: FLINK-36640
>                 URL: https://issues.apache.org/jira/browse/FLINK-36640
>             Project: Flink
>          Issue Type: Improvement
>          Components: Kubernetes Operator
>            Reporter: Matyas Orhidi
>            Priority: Major
>
> FLINK-32589 introduced a feature to carry over parallelism overrides between 
> application upgrades. This serves pretty well on the happy path preventing 
> users from clearing the actual parallelism settings on regular updates. 
> However in certain scenarios users may actually want to reset the parallelism 
> to an initial or desired state to force the application out of an unwanted 
> scaling state. 
> Such unwanted state can be a too large parallelism that causes throttling, or 
> similar. The current workaround needs to upgrade steps by setting 
> `job.autoscaler.enabled: false` and then `job.autoscaler.enabled: true` 
> again. We could combine it with a `autoscalerReset` nonce. We could also 
> reintroduce the config with manual vertex parallelism settings to be able to 
> reset to a configurable state, similar to what we do when starting a job from 
> specific Kafka offsets.



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