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support cpu/memory scaler #1215
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Could you please add tests for this scaler? (unit tests for sure and e2d would be nice to have)
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PTAL @zroubalik |
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minor nits
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@@ -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.
@TsuyoshiUshio |
Signed-off-by: silenceper <[email protected]>
Signed-off-by: silenceper <[email protected]>
Signed-off-by: silenceper <[email protected]>
Signed-off-by: silenceper <[email protected]>
Signed-off-by: silenceper <[email protected]>
Signed-off-by: silenceper <[email protected]>
Signed-off-by: silenceper <[email protected]>
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Looks like we are good to go, right @zroubalik @TsuyoshiUshio ? |
@silenceper thanks for the contribution! |
Signed-off-by: silenceper [email protected]
horizontalPodAutoscalerConfig.resourceMetrics
Checklist
Fixes #1183