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fix: revise some annnotations and fix fallback check bug #6346

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1 change: 1 addition & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -73,6 +73,7 @@ Here is an overview of all new **experimental** features:
### Fixes

- **General**: Paused ScaledObject count is reported correctly after operator restart ([#6321](https://github.com/kedacore/keda/issues/6321))
- **General**: Revise some annotations above function and fix fallback check bug ([#6346](https://github.com/kedacore/keda/pull/6346))

### Deprecations

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8 changes: 4 additions & 4 deletions apis/keda/v1alpha1/scaledobject_types.go
Original file line number Diff line number Diff line change
Expand Up @@ -237,7 +237,7 @@ func (so *ScaledObject) IsUsingModifiers() bool {
return so.Spec.Advanced != nil && !reflect.DeepEqual(so.Spec.Advanced.ScalingModifiers, ScalingModifiers{})
}

// getHPAMinReplicas returns MinReplicas based on definition in ScaledObject or default value if not defined
// GetHPAMinReplicas returns MinReplicas based on definition in ScaledObject or default value if not defined
func (so *ScaledObject) GetHPAMinReplicas() *int32 {
if so.Spec.MinReplicaCount != nil && *so.Spec.MinReplicaCount > 0 {
return so.Spec.MinReplicaCount
Expand All @@ -246,15 +246,15 @@ func (so *ScaledObject) GetHPAMinReplicas() *int32 {
return &tmp
}

// getHPAMaxReplicas returns MaxReplicas based on definition in ScaledObject or default value if not defined
// GetHPAMaxReplicas returns MaxReplicas based on definition in ScaledObject or default value if not defined
func (so *ScaledObject) GetHPAMaxReplicas() int32 {
if so.Spec.MaxReplicaCount != nil {
return *so.Spec.MaxReplicaCount
}
return defaultHPAMaxReplicas
}

// checkReplicaCountBoundsAreValid checks that Idle/Min/Max ReplicaCount defined in ScaledObject are correctly specified
// CheckReplicaCountBoundsAreValid checks that Idle/Min/Max ReplicaCount defined in ScaledObject are correctly specified
// i.e. that Min is not greater than Max or Idle greater or equal to Min
func CheckReplicaCountBoundsAreValid(scaledObject *ScaledObject) error {
min := int32(0)
Expand Down Expand Up @@ -291,7 +291,7 @@ func CheckFallbackValid(scaledObject *ScaledObject) error {
return fmt.Errorf("type is %s , but fallback it is not supported by the CPU & memory scalers", trigger.Type)
}
if trigger.MetricType != autoscalingv2.AverageValueMetricType {
return fmt.Errorf("MetricType=%s, but Fallback can only be enabled for triggers with metric of type AverageValue", trigger.MetricType)
return fmt.Errorf("MetricType=%s, but fallback can only be enabled for triggers with metric of type AverageValue", trigger.MetricType)
}
}
return nil
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2 changes: 1 addition & 1 deletion apis/keda/v1alpha1/scaledobject_webhook.go
Original file line number Diff line number Diff line change
Expand Up @@ -193,7 +193,7 @@ func verifyFallback(incomingSo *ScaledObject, action string, _ bool) error {
scaledobjectlog.WithValues("name", incomingSo.Name).Error(err, "validation error")
metricscollector.RecordScaledObjectValidatingErrors(incomingSo.Namespace, action, "incorrect-fallback")
}
return nil
return err
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this would likely introduce undesired regression on denying SOs with fallback and multiple triggers with at least one being cpu or memory - #5962 (review)

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this would likely introduce undesired regression on denying SOs with fallback and multiple triggers with at least one being cpu or memory - #5962 (review)

so, the code deny trigger which has cpu or memory in function CheckFallbackValid is wrong? so here, it's better to return nil and not take effect?

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@wozniakjan wozniakjan Nov 20, 2024

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I think the discussion on this has still not been concluded. Imho it makes sense to allow ScaledObjects that have fallback defined and at least one trigger that is not CPU / memory.

I would go as far as allowing ScaledObjects that have only CPU / memory fallback but throw an Event with type Warning periodically informing the end user that this ScaledObject might not work the way they intended. So this code swallowing the error and just logging it follows that idea.

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@ctccxxd ctccxxd Nov 21, 2024

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I see the official website(https://keda.sh/docs/2.16/reference/scaledobject-spec/#fallback) and the code (scaledobject_types.go function CheckFallbackValid), they all forbidden CPU / memory fallback. I think the initial purpose is to forbidden the metric type which is not AverageValue, and I don't know why forbidden CPU / memory fallback? I see that CPU / memory also support type AverageValue. So, if I think there should be a conclusion whether forbidden it. If not forbidden, I think just change code to allow the CPU / memory, but webhook in this part have to take effect to support the value validation. code(maybe just delete this part). If forbidden, so just make it take effect.

Besides, I also make other code contribution, (#6344)
(#6350), and hope you to review, thank you much.

}

func verifyTriggers(incomingObject interface{}, action string, _ bool) error {
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