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https://issues.apache.org/jira/browse/FLINK-38724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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yuanfenghu updated FLINK-38724:
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Environment: (was: FLINK-36527 introduced the
job.autoscaler.scaling.key-group.partitions.adjust.mode=EVENLY_SPREAD
configuration to solve the problem of KeyBy and Kafka
The current default value of job.autoscaler.scale-down.max-factor is 0.6, which
means that a vertex can only be scaled down to the original parallelism in a
single scale-down.
Specific scenario:
- Number of Kafka partitions:4
- Current parallelism:4
- Ideal parallelism during trough:2
- Reduction calculation:4 × 0.6 = 2.4
- Due to balanced consumption constraints, 2.4 will be adjusted upward to
4(must be an integer that evenly allocates 4 partitions)
- Result: The vertex cannot be scaled down and always remains at a parallelism
of 4
This violates Autoscaler's goal of reducing resource consumption during low
times.
)
> Allow per-vertex configuration of scale-down.max-factor to support balanced
> partition consumption
> -------------------------------------------------------------------------------------------------
>
> Key: FLINK-38724
> URL: https://issues.apache.org/jira/browse/FLINK-38724
> Project: Flink
> Issue Type: Improvement
> Components: Autoscaler
> Affects Versions: kubernetes
> Reporter: yuanfenghu
> Priority: Major
>
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