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Refresh autogenerated files following the configurable tolerance updates.

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This commit is contained in:
Jean-Marc François 2025-03-21 17:41:50 -04:00
parent dc1696d807
commit ac107137ce
12 changed files with 249 additions and 121 deletions
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8
api/openapi-spec/swagger.json generated
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@ -3934,10 +3934,10 @@
"type": "object"
},
"io.k8s.api.autoscaling.v2.HPAScalingRules": {
"description": "HPAScalingRules configures the scaling behavior for one direction. These Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.",
"description": "HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance.\n\nScaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.\n\nThe tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires enabling the alpha HPAConfigurableTolerance feature gate.)",
"properties": {
"policies": {
"description": "policies is a list of potential scaling polices which can be used during scaling. At least one policy must be specified, otherwise the HPAScalingRules will be discarded as invalid",
"description": "policies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.",
"items": {
"$ref": "#/definitions/io.k8s.api.autoscaling.v2.HPAScalingPolicy"
},
@ -3952,6 +3952,10 @@
"description": "stabilizationWindowSeconds is the number of seconds for which past recommendations should be considered while scaling up or scaling down. StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour). If not set, use the default values: - For scale up: 0 (i.e. no stabilization is done). - For scale down: 300 (i.e. the stabilization window is 300 seconds long).",
"format": "int32",
"type": "integer"
},
"tolerance": {
"$ref": "#/definitions/io.k8s.apimachinery.pkg.api.resource.Quantity",
"description": "tolerance is the tolerance on the ratio between the current and desired metric value under which no updates are made to the desired number of replicas (e.g. 0.01 for 1%). Must be greater than or equal to zero. If not set, the default cluster-wide tolerance is applied (by default 10%).\n\nFor example, if autoscaling is configured with a memory consumption target of 100Mi, and scale-down and scale-up tolerances of 5% and 1% respectively, scaling will be triggered when the actual consumption falls below 95Mi or exceeds 101Mi.\n\nThis is an alpha field and requires enabling the HPAConfigurableTolerance feature gate."
}
},
"type": "object"

12
api/openapi-spec/v3/apis__autoscaling__v2_openapi.json generated
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@ -170,10 +170,10 @@
"type": "object"
},
"io.k8s.api.autoscaling.v2.HPAScalingRules": {
"description": "HPAScalingRules configures the scaling behavior for one direction. These Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.",
"description": "HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance.\n\nScaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.\n\nThe tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires enabling the alpha HPAConfigurableTolerance feature gate.)",
"properties": {
"policies": {
"description": "policies is a list of potential scaling polices which can be used during scaling. At least one policy must be specified, otherwise the HPAScalingRules will be discarded as invalid",
"description": "policies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.",
"items": {
"allOf": [
{
@ -193,6 +193,14 @@
"description": "stabilizationWindowSeconds is the number of seconds for which past recommendations should be considered while scaling up or scaling down. StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour). If not set, use the default values: - For scale up: 0 (i.e. no stabilization is done). - For scale down: 300 (i.e. the stabilization window is 300 seconds long).",
"format": "int32",
"type": "integer"
},
"tolerance": {
"allOf": [
{
"$ref": "#/components/schemas/io.k8s.apimachinery.pkg.api.resource.Quantity"
}
],
"description": "tolerance is the tolerance on the ratio between the current and desired metric value under which no updates are made to the desired number of replicas (e.g. 0.01 for 1%). Must be greater than or equal to zero. If not set, the default cluster-wide tolerance is applied (by default 10%).\n\nFor example, if autoscaling is configured with a memory consumption target of 100Mi, and scale-down and scale-up tolerances of 5% and 1% respectively, scaling will be triggered when the actual consumption falls below 95Mi or exceeds 101Mi.\n\nThis is an alpha field and requires enabling the HPAConfigurableTolerance feature gate."
}
},
"type": "object"

2
pkg/apis/autoscaling/v2/zz_generated.conversion.go generated
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@ -452,6 +452,7 @@ func autoConvert_v2_HPAScalingRules_To_autoscaling_HPAScalingRules(in *autoscali
out.StabilizationWindowSeconds = (*int32)(unsafe.Pointer(in.StabilizationWindowSeconds))
out.SelectPolicy = (*autoscaling.ScalingPolicySelect)(unsafe.Pointer(in.SelectPolicy))
out.Policies = *(*[]autoscaling.HPAScalingPolicy)(unsafe.Pointer(&in.Policies))
out.Tolerance = (*resource.Quantity)(unsafe.Pointer(in.Tolerance))
return nil
}
@ -464,6 +465,7 @@ func autoConvert_autoscaling_HPAScalingRules_To_v2_HPAScalingRules(in *autoscali
out.StabilizationWindowSeconds = (*int32)(unsafe.Pointer(in.StabilizationWindowSeconds))
out.SelectPolicy = (*autoscalingv2.ScalingPolicySelect)(unsafe.Pointer(in.SelectPolicy))
out.Policies = *(*[]autoscalingv2.HPAScalingPolicy)(unsafe.Pointer(&in.Policies))
out.Tolerance = (*resource.Quantity)(unsafe.Pointer(in.Tolerance))
return nil
}

5
pkg/apis/autoscaling/zz_generated.deepcopy.go generated
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@ -146,6 +146,11 @@ func (in *HPAScalingRules) DeepCopyInto(out *HPAScalingRules) {
*out = make([]HPAScalingPolicy, len(*in))
copy(*out, *in)
}
if in.Tolerance != nil {
in, out := &in.Tolerance, &out.Tolerance
x := (*in).DeepCopy()
*out = &x
}
return
}

12
pkg/generated/openapi/zz_generated.openapi.go generated
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@ -14693,7 +14693,7 @@ func schema_k8sio_api_autoscaling_v2_HPAScalingRules(ref common.ReferenceCallbac
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "HPAScalingRules configures the scaling behavior for one direction. These Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.",
Description: "HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance.\n\nScaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.\n\nThe tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires enabling the alpha HPAConfigurableTolerance feature gate.)",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"stabilizationWindowSeconds": {
@ -14717,7 +14717,7 @@ func schema_k8sio_api_autoscaling_v2_HPAScalingRules(ref common.ReferenceCallbac
},
},
SchemaProps: spec.SchemaProps{
Description: "policies is a list of potential scaling polices which can be used during scaling. At least one policy must be specified, otherwise the HPAScalingRules will be discarded as invalid",
Description: "policies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
@ -14729,11 +14729,17 @@ func schema_k8sio_api_autoscaling_v2_HPAScalingRules(ref common.ReferenceCallbac
},
},
},
"tolerance": {
SchemaProps: spec.SchemaProps{
Description: "tolerance is the tolerance on the ratio between the current and desired metric value under which no updates are made to the desired number of replicas (e.g. 0.01 for 1%). Must be greater than or equal to zero. If not set, the default cluster-wide tolerance is applied (by default 10%).\n\nFor example, if autoscaling is configured with a memory consumption target of 100Mi, and scale-down and scale-up tolerances of 5% and 1% respectively, scaling will be triggered when the actual consumption falls below 95Mi or exceeds 101Mi.\n\nThis is an alpha field and requires enabling the HPAConfigurableTolerance feature gate.",
Ref: ref("k8s.io/apimachinery/pkg/api/resource.Quantity"),
},
},
},
},
},
Dependencies: []string{
"k8s.io/api/autoscaling/v2.HPAScalingPolicy"},
"k8s.io/api/autoscaling/v2.HPAScalingPolicy", "k8s.io/apimachinery/pkg/api/resource.Quantity"},
}
}

272
staging/src/k8s.io/api/autoscaling/v2/generated.pb.go generated
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@ -751,115 +751,116 @@ func init() {
}
var fileDescriptor_4d5f2c8767749221 = []byte{
// 1722 bytes of a gzipped FileDescriptorProto
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}
func (m *ContainerResourceMetricSource) Marshal() (dAtA []byte, err error) {
@ -1126,6 +1127,18 @@ func (m *HPAScalingRules) MarshalToSizedBuffer(dAtA []byte) (int, error) {
_ = i
var l int
_ = l
if m.Tolerance != nil {
{
size, err := m.Tolerance.MarshalToSizedBuffer(dAtA[:i])
if err != nil {
return 0, err
}
i -= size
i = encodeVarintGenerated(dAtA, i, uint64(size))
}
i--
dAtA[i] = 0x22
}
if m.StabilizationWindowSeconds != nil {
i = encodeVarintGenerated(dAtA, i, uint64(*m.StabilizationWindowSeconds))
i--
@ -2203,6 +2216,10 @@ func (m *HPAScalingRules) Size() (n int) {
if m.StabilizationWindowSeconds != nil {
n += 1 + sovGenerated(uint64(*m.StabilizationWindowSeconds))
}
if m.Tolerance != nil {
l = m.Tolerance.Size()
n += 1 + l + sovGenerated(uint64(l))
}
return n
}
@ -2619,6 +2636,7 @@ func (this *HPAScalingRules) String() string {
`SelectPolicy:` + valueToStringGenerated(this.SelectPolicy) + `,`,
`Policies:` + repeatedStringForPolicies + `,`,
`StabilizationWindowSeconds:` + valueToStringGenerated(this.StabilizationWindowSeconds) + `,`,
`Tolerance:` + strings.Replace(fmt.Sprintf("%v", this.Tolerance), "Quantity", "resource.Quantity", 1) + `,`,
`}`,
}, "")
return s
@ -3770,6 +3788,42 @@ func (m *HPAScalingRules) Unmarshal(dAtA []byte) error {
}
}
m.StabilizationWindowSeconds = &v
case 4:
if wireType != 2 {
return fmt.Errorf("proto: wrong wireType = %d for field Tolerance", wireType)
}
var msglen int
for shift := uint(0); ; shift += 7 {
if shift >= 64 {
return ErrIntOverflowGenerated
}
if iNdEx >= l {
return io.ErrUnexpectedEOF
}
b := dAtA[iNdEx]
iNdEx++
msglen |= int(b&0x7F) << shift
if b < 0x80 {
break
}
}
if msglen < 0 {
return ErrInvalidLengthGenerated
}
postIndex := iNdEx + msglen
if postIndex < 0 {
return ErrInvalidLengthGenerated
}
if postIndex > l {
return io.ErrUnexpectedEOF
}
if m.Tolerance == nil {
m.Tolerance = &resource.Quantity{}
}
if err := m.Tolerance.Unmarshal(dAtA[iNdEx:postIndex]); err != nil {
return err
}
iNdEx = postIndex
default:
iNdEx = preIndex
skippy, err := skipGenerated(dAtA[iNdEx:])

30
staging/src/k8s.io/api/autoscaling/v2/generated.proto
View File

@ -112,12 +112,18 @@ message HPAScalingPolicy {
optional int32 periodSeconds = 3;
}
// HPAScalingRules configures the scaling behavior for one direction.
// These Rules are applied after calculating DesiredReplicas from metrics for the HPA.
// HPAScalingRules configures the scaling behavior for one direction via
// scaling Policy Rules and a configurable metric tolerance.
//
// Scaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA.
// They can limit the scaling velocity by specifying scaling policies.
// They can prevent flapping by specifying the stabilization window, so that the
// number of replicas is not set instantly, instead, the safest value from the stabilization
// window is chosen.
//
// The tolerance is applied to the metric values and prevents scaling too
// eagerly for small metric variations. (Note that setting a tolerance requires
// enabling the alpha HPAConfigurableTolerance feature gate.)
message HPAScalingRules {
// stabilizationWindowSeconds is the number of seconds for which past recommendations should be
// considered while scaling up or scaling down.
@ -134,10 +140,28 @@ message HPAScalingRules {
optional string selectPolicy = 1;
// policies is a list of potential scaling polices which can be used during scaling.
// At least one policy must be specified, otherwise the HPAScalingRules will be discarded as invalid
// If not set, use the default values:
// - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window.
// - For scale down: allow all pods to be removed in a 15s window.
// +listType=atomic
// +optional
repeated HPAScalingPolicy policies = 2;
// tolerance is the tolerance on the ratio between the current and desired
// metric value under which no updates are made to the desired number of
// replicas (e.g. 0.01 for 1%). Must be greater than or equal to zero. If not
// set, the default cluster-wide tolerance is applied (by default 10%).
//
// For example, if autoscaling is configured with a memory consumption target of 100Mi,
// and scale-down and scale-up tolerances of 5% and 1% respectively, scaling will be
// triggered when the actual consumption falls below 95Mi or exceeds 101Mi.
//
// This is an alpha field and requires enabling the HPAConfigurableTolerance
// feature gate.
//
// +featureGate=HPAConfigurableTolerance
// +optional
optional .k8s.io.apimachinery.pkg.api.resource.Quantity tolerance = 4;
}
// HorizontalPodAutoscaler is the configuration for a horizontal pod

5
staging/src/k8s.io/api/autoscaling/v2/types_swagger_doc_generated.go generated
View File

@ -92,10 +92,11 @@ func (HPAScalingPolicy) SwaggerDoc() map[string]string {
}
var map_HPAScalingRules = map[string]string{
"": "HPAScalingRules configures the scaling behavior for one direction. These Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.",
"": "HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance.\n\nScaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen.\n\nThe tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires enabling the alpha HPAConfigurableTolerance feature gate.)",
"stabilizationWindowSeconds": "stabilizationWindowSeconds is the number of seconds for which past recommendations should be considered while scaling up or scaling down. StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour). If not set, use the default values: - For scale up: 0 (i.e. no stabilization is done). - For scale down: 300 (i.e. the stabilization window is 300 seconds long).",
"selectPolicy": "selectPolicy is used to specify which policy should be used. If not set, the default value Max is used.",
"policies": "policies is a list of potential scaling polices which can be used during scaling. At least one policy must be specified, otherwise the HPAScalingRules will be discarded as invalid",
"policies": "policies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.",
"tolerance": "tolerance is the tolerance on the ratio between the current and desired metric value under which no updates are made to the desired number of replicas (e.g. 0.01 for 1%). Must be greater than or equal to zero. If not set, the default cluster-wide tolerance is applied (by default 10%).\n\nFor example, if autoscaling is configured with a memory consumption target of 100Mi, and scale-down and scale-up tolerances of 5% and 1% respectively, scaling will be triggered when the actual consumption falls below 95Mi or exceeds 101Mi.\n\nThis is an alpha field and requires enabling the HPAConfigurableTolerance feature gate.",
}
func (HPAScalingRules) SwaggerDoc() map[string]string {

5
staging/src/k8s.io/api/autoscaling/v2/zz_generated.deepcopy.go generated
View File

@ -146,6 +146,11 @@ func (in *HPAScalingRules) DeepCopyInto(out *HPAScalingRules) {
*out = make([]HPAScalingPolicy, len(*in))
copy(*out, *in)
}
if in.Tolerance != nil {
in, out := &in.Tolerance, &out.Tolerance
x := (*in).DeepCopy()
*out = &x
}
return
}

10
staging/src/k8s.io/client-go/applyconfigurations/autoscaling/v2/hpascalingrules.go
View File

@ -20,6 +20,7 @@ package v2
import (
autoscalingv2 "k8s.io/api/autoscaling/v2"
resource "k8s.io/apimachinery/pkg/api/resource"
)
// HPAScalingRulesApplyConfiguration represents a declarative configuration of the HPAScalingRules type for use
@ -28,6 +29,7 @@ type HPAScalingRulesApplyConfiguration struct {
StabilizationWindowSeconds *int32 `json:"stabilizationWindowSeconds,omitempty"`
SelectPolicy *autoscalingv2.ScalingPolicySelect `json:"selectPolicy,omitempty"`
Policies []HPAScalingPolicyApplyConfiguration `json:"policies,omitempty"`
Tolerance *resource.Quantity `json:"tolerance,omitempty"`
}
// HPAScalingRulesApplyConfiguration constructs a declarative configuration of the HPAScalingRules type for use with
@ -64,3 +66,11 @@ func (b *HPAScalingRulesApplyConfiguration) WithPolicies(values ...*HPAScalingPo
}
return b
}
// WithTolerance sets the Tolerance field in the declarative configuration to the given value
// and returns the receiver, so that objects can be built by chaining "With" function invocations.
// If called multiple times, the Tolerance field is set to the value of the last call.
func (b *HPAScalingRulesApplyConfiguration) WithTolerance(value resource.Quantity) *HPAScalingRulesApplyConfiguration {
b.Tolerance = &value
return b
}

3
staging/src/k8s.io/client-go/applyconfigurations/internal/internal.go
View File

@ -2934,6 +2934,9 @@ var schemaYAML = typed.YAMLObject(`types:
- name: stabilizationWindowSeconds
type:
scalar: numeric
- name: tolerance
type:
namedType: io.k8s.apimachinery.pkg.api.resource.Quantity
- name: io.k8s.api.autoscaling.v2.HorizontalPodAutoscaler
map:
fields:

6
test/compatibility_lifecycle/reference/versioned_feature_list.yaml
View File

@ -539,6 +539,12 @@
lockToDefault: true
preRelease: GA
version: "1.33"
- name: HPAConfigurableTolerance
versionedSpecs:
- default: false
lockToDefault: false
preRelease: Alpha
version: "1.33"
- name: HPAScaleToZero
versionedSpecs:
- default: false