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support cpu/memory scaler #1215

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merged 7 commits into from
Oct 13, 2020
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silenceper
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@silenceper silenceper commented Oct 3, 2020

Signed-off-by: silenceper [email protected]

  • Provide CPU/Memory scaler
  • remove horizontalPodAutoscalerConfig.resourceMetrics
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: cron-scaledobject
  namespace: default
spec:
  scaleTargetRef:
    name: my-deployment
  advanced:                                          # Optional. Section to specify advanced options
    restoreToOriginalReplicaCount: true/false        # Optional. Default: false
    horizontalPodAutoscalerConfig:                   # Optional. Section to specify HPA related options
      behavior:                                      # Optional. Use to modify HPA's scaling behavior
        scaleDown:
          stabilizationWindowSeconds: 300
          policies:
          - type: Percent
            value: 100
            periodSeconds: 15
  triggers:
  - type: cpu/memory                           # provider cpu/memory scaler
    metadata:
      type: value/ utilization/ averagevalue
      value: 60                                  

Checklist

  • Commits are signed with Developer Certificate of Origin (DCO)
  • Tests have been added
  • A PR is opened to update the documentation on add cpu/memory scaler keda-docs#277
  • Changelog has been updated

Fixes #1183

@silenceper silenceper marked this pull request as ready for review October 3, 2020 04:03
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@zroubalik zroubalik left a comment

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Could you please add tests for this scaler? (unit tests for sure and e2d would be nice to have)

CHANGELOG.md Show resolved Hide resolved
pkg/scalers/cpu_memory_scaler.go Outdated Show resolved Hide resolved
pkg/scalers/cpu_memory_scaler.go Show resolved Hide resolved
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PTAL @zroubalik

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minor nits

CHANGELOG.md Show resolved Hide resolved
pkg/scaling/scale_handler.go Show resolved Hide resolved
@@ -254,7 +264,9 @@ func (h *scaleHandler) checkScaledJobScalers(ctx context.Context, scalers []scal
scalerLogger.Info("Scaler is active")
}
}
maxValue = min(scaledJob.MaxReplicaCount(), devideWithCeil(queueLength, targetAverageValue))
if targetAverageValue != 0 {
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@TsuyoshiUshio could you please check, that this is ok?

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I added this judgment to avoid that if only the cpu/memory scaler is used in the ScalerJobs, the targetAverageValue is 0 (of course this is meaningless), which causes the devideWithCeil method to panic

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Hi @zroubalik @silenceper
It looks good to me. TargetAverageValue is should be bigger than 1. In case of 0, that means no scale. So that This logic is correct. Thank you for adding the condition!

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Thanks @TsuyoshiUshio!

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LGTM

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I approve, LGTM. However Can I clarify one thing? @silenceper
According to the code, the usage of cpu/memory scaler is for HPA only, right? Not for ScaledJob. I mean you add resourcemetricNames on ScaledOjbect only. If so we might consider documentation for it. Thank you for your contribution.

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silenceper commented Oct 13, 2020

@TsuyoshiUshio
docs was add in kedacore/keda-docs#277

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Looks like we are good to go, right @zroubalik @TsuyoshiUshio ?

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@silenceper thanks for the contribution!

@zroubalik zroubalik merged commit a17ac2a into kedacore:v2 Oct 13, 2020
@silenceper silenceper deleted the f-resource-scaler branch October 13, 2020 11:37
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Provide CPU/Memory scaler
6 participants