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https://issues.apache.org/jira/browse/FLINK-35035?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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yuanfenghu updated FLINK-35035:
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Description:
When 'jobmanager.scheduler = adaptive' , job graph changes triggered by cluster
expansion will cause long-term task stagnation. We should reduce this impact.
As an example:
I have jobgraph for : [v1 (maxp=10 minp = 1)] -> [v2 (maxp=10, minp=1)]
When my cluster has 5 slots, the job will be executed as [v1 p5]->[v2 p5]
When I add slots the task will trigger jobgraph changes，by
org.apache.flink.runtime.scheduler.adaptive.ResourceListener#onNewResourcesAvailable，
However, the five new slots I added were not discovered at the same time (for
convenience, I assume that a taskmanager has one slot), because no matter what
environment we add, we cannot guarantee that the new slots will be added at
once, so this will cause onNewResourcesAvailable triggers repeatedly
，If each new slot action has a certain interval, then the jobgraph will
continue to change during this period. What I hope is that there will be a
stable time to configure the cluster resources, and then go to it after the
number of cluster slots has been stable for a certain period of time. Trigger
jobgraph changes to avoid this situation
was:
When 'jobmanager.scheduler = adaptive' , job graph changes triggered by cluster
expansion will cause long-term task stagnation. We should reduce this impact.
As an example:
I have jobgraph for : [v1 (maxp=10 minp = 1)] -> [v2 (maxp=10, minp=1)]
When my cluster has 5 slots, the job will be executed as [v1 p5]->[v2 p5]
When I add slots the task will trigger jobgraph changes，by
org.apache.flink.runtime.scheduler.adaptive.ResourceListener#onNewResourcesAvailable，
However, the five new slots I added were not discovered at the same time (for
convenience, I assume that a taskmanager has one slot), because no matter what
environment we add, we cannot guarantee that the new slots will be added at
once, so this will cause onNewResourcesAvailable triggers repeatedly
，If each new slot action has a certain interval, then the jobgraph will
continue to change during this period. What I hope is that there will be a
stable time to configure the cluster resources, and then go to it after the
number of cluster slots has been stable for a certain period of time. Trigger
jobgraph changes to avoid this situation
。
> Reduce job pause time when cluster resources are expanded in adaptive mode
> --------------------------------------------------------------------------
>
> Key: FLINK-35035
> URL: https://issues.apache.org/jira/browse/FLINK-35035
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Task
> Affects Versions: 1.19.0
> Reporter: yuanfenghu
> Priority: Minor
>
> When 'jobmanager.scheduler = adaptive' , job graph changes triggered by
> cluster expansion will cause long-term task stagnation. We should reduce this
> impact.
> As an example:
> I have jobgraph for : [v1 (maxp=10 minp = 1)] -> [v2 (maxp=10, minp=1)]
> When my cluster has 5 slots, the job will be executed as [v1 p5]->[v2 p5]
> When I add slots the task will trigger jobgraph changes，by
> org.apache.flink.runtime.scheduler.adaptive.ResourceListener#onNewResourcesAvailable，
> However, the five new slots I added were not discovered at the same time (for
> convenience, I assume that a taskmanager has one slot), because no matter
> what environment we add, we cannot guarantee that the new slots will be added
> at once, so this will cause onNewResourcesAvailable triggers repeatedly
> ，If each new slot action has a certain interval, then the jobgraph will
> continue to change during this period. What I hope is that there will be a
> stable time to configure the cluster resources, and then go to it after the
> number of cluster slots has been stable for a certain period of time. Trigger
> jobgraph changes to avoid this situation
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