Add support for custom metrics for HPA (#2423)

* Add support for custom metrics for HPA
* Cleanup TargetCPUPercent references from possible places
* HPA v2beta has 80% default  cpu limit if not set

Signed-off-by: Sanket Sudake <sanketsudake@gmail.com>
This commit is contained in:
Sanket Sudake
2022-05-09 17:16:34 +05:30
committed by GitHub
parent 925f817e42
commit 39dd65b224
13 changed files with 496 additions and 77 deletions
+397 -1
View File
@@ -53,8 +53,404 @@ spec:
description: This is the timeout setting for executor to wait for pod specialization. description: This is the timeout setting for executor to wait for pod specialization.
type: integer type: integer
TargetCPUPercent: TargetCPUPercent:
description: This is only for newdeploy to set up target CPU utilization of HPA. description: 'Deprecated: use hpaMetrics instead. This is only for executor type newdeploy and container to set up target CPU utilization of HPA. Applicable for executor type newdeploy and container.'
type: integer type: integer
hpaBehavior:
description: hpaBehavior is the behavior of HPA when scaling in up/down direction. Applicable for executor type newdeploy and container.
properties:
scaleDown:
description: scaleDown is scaling policy for scaling Down. If not set, the default value is to allow to scale down to minReplicas pods, with a 300 second stabilization window (i.e., the highest recommendation for the last 300sec is used).
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
items:
description: HPAScalingPolicy is a single policy which must hold true for a specified past interval.
properties:
periodSeconds:
description: PeriodSeconds specifies the window of time for which the policy should hold true. PeriodSeconds must be greater than zero and less than or equal to 1800 (30 min).
format: int32
type: integer
type:
description: Type is used to specify the scaling policy.
type: string
value:
description: Value contains the amount of change which is permitted by the policy. It must be greater than zero
format: int32
type: integer
required:
- periodSeconds
- type
- value
type: object
type: array
selectPolicy:
description: selectPolicy is used to specify which policy should be used. If not set, the default value MaxPolicySelect is used.
type: string
stabilizationWindowSeconds:
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
type: object
scaleUp:
description: 'scaleUp is scaling policy for scaling Up. If not set, the default value is the higher of: * increase no more than 4 pods per 60 seconds * double the number of pods per 60 seconds No stabilization is used.'
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
items:
description: HPAScalingPolicy is a single policy which must hold true for a specified past interval.
properties:
periodSeconds:
description: PeriodSeconds specifies the window of time for which the policy should hold true. PeriodSeconds must be greater than zero and less than or equal to 1800 (30 min).
format: int32
type: integer
type:
description: Type is used to specify the scaling policy.
type: string
value:
description: Value contains the amount of change which is permitted by the policy. It must be greater than zero
format: int32
type: integer
required:
- periodSeconds
- type
- value
type: object
type: array
selectPolicy:
description: selectPolicy is used to specify which policy should be used. If not set, the default value MaxPolicySelect is used.
type: string
stabilizationWindowSeconds:
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
type: object
type: object
hpaMetrics:
description: hpaMetrics is the list of metrics used to determine the desired replica count of the Deployment created for the function. Applicable for executor type newdeploy and container.
items:
description: MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).
properties:
containerResource:
description: container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source. This is an alpha feature and can be enabled by the HPAContainerMetrics feature flag.
properties:
container:
description: container is the name of the container in the pods of the scaling target
type: string
name:
description: name is the name of the resource in question.
type: string
target:
description: target specifies the target value for the given metric
properties:
averageUtilization:
description: averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type
format: int32
type: integer
averageValue:
anyOf:
- type: integer
- type: string
description: averageValue is the target value of the average of the metric across all relevant pods (as a quantity)
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
type:
description: type represents whether the metric type is Utilization, Value, or AverageValue
type: string
value:
anyOf:
- type: integer
- type: string
description: value is the target value of the metric (as a quantity).
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
required:
- type
type: object
required:
- container
- name
- target
type: object
external:
description: external refers to a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).
properties:
metric:
description: metric identifies the target metric by name and selector
properties:
name:
description: name is the name of the given metric
type: string
selector:
description: selector is the string-encoded form of a standard kubernetes label selector for the given metric When set, it is passed as an additional parameter to the metrics server for more specific metrics scoping. When unset, just the metricName will be used to gather metrics.
properties:
matchExpressions:
description: matchExpressions is a list of label selector requirements. The requirements are ANDed.
items:
description: A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values.
properties:
key:
description: key is the label key that the selector applies to.
type: string
operator:
description: operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.
type: string
values:
description: values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch.
items:
type: string
type: array
required:
- key
- operator
type: object
type: array
matchLabels:
additionalProperties:
type: string
description: matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is "key", the operator is "In", and the values array contains only "value". The requirements are ANDed.
type: object
type: object
required:
- name
type: object
target:
description: target specifies the target value for the given metric
properties:
averageUtilization:
description: averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type
format: int32
type: integer
averageValue:
anyOf:
- type: integer
- type: string
description: averageValue is the target value of the average of the metric across all relevant pods (as a quantity)
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
type:
description: type represents whether the metric type is Utilization, Value, or AverageValue
type: string
value:
anyOf:
- type: integer
- type: string
description: value is the target value of the metric (as a quantity).
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
required:
- type
type: object
required:
- metric
- target
type: object
object:
description: object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).
properties:
describedObject:
description: CrossVersionObjectReference contains enough information to let you identify the referred resource.
properties:
apiVersion:
description: API version of the referent
type: string
kind:
description: 'Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds"'
type: string
name:
description: 'Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names'
type: string
required:
- kind
- name
type: object
metric:
description: metric identifies the target metric by name and selector
properties:
name:
description: name is the name of the given metric
type: string
selector:
description: selector is the string-encoded form of a standard kubernetes label selector for the given metric When set, it is passed as an additional parameter to the metrics server for more specific metrics scoping. When unset, just the metricName will be used to gather metrics.
properties:
matchExpressions:
description: matchExpressions is a list of label selector requirements. The requirements are ANDed.
items:
description: A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values.
properties:
key:
description: key is the label key that the selector applies to.
type: string
operator:
description: operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.
type: string
values:
description: values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch.
items:
type: string
type: array
required:
- key
- operator
type: object
type: array
matchLabels:
additionalProperties:
type: string
description: matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is "key", the operator is "In", and the values array contains only "value". The requirements are ANDed.
type: object
type: object
required:
- name
type: object
target:
description: target specifies the target value for the given metric
properties:
averageUtilization:
description: averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type
format: int32
type: integer
averageValue:
anyOf:
- type: integer
- type: string
description: averageValue is the target value of the average of the metric across all relevant pods (as a quantity)
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
type:
description: type represents whether the metric type is Utilization, Value, or AverageValue
type: string
value:
anyOf:
- type: integer
- type: string
description: value is the target value of the metric (as a quantity).
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
required:
- type
type: object
required:
- describedObject
- metric
- target
type: object
pods:
description: pods refers to a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.
properties:
metric:
description: metric identifies the target metric by name and selector
properties:
name:
description: name is the name of the given metric
type: string
selector:
description: selector is the string-encoded form of a standard kubernetes label selector for the given metric When set, it is passed as an additional parameter to the metrics server for more specific metrics scoping. When unset, just the metricName will be used to gather metrics.
properties:
matchExpressions:
description: matchExpressions is a list of label selector requirements. The requirements are ANDed.
items:
description: A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values.
properties:
key:
description: key is the label key that the selector applies to.
type: string
operator:
description: operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.
type: string
values:
description: values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch.
items:
type: string
type: array
required:
- key
- operator
type: object
type: array
matchLabels:
additionalProperties:
type: string
description: matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is "key", the operator is "In", and the values array contains only "value". The requirements are ANDed.
type: object
type: object
required:
- name
type: object
target:
description: target specifies the target value for the given metric
properties:
averageUtilization:
description: averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type
format: int32
type: integer
averageValue:
anyOf:
- type: integer
- type: string
description: averageValue is the target value of the average of the metric across all relevant pods (as a quantity)
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
type:
description: type represents whether the metric type is Utilization, Value, or AverageValue
type: string
value:
anyOf:
- type: integer
- type: string
description: value is the target value of the metric (as a quantity).
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
required:
- type
type: object
required:
- metric
- target
type: object
resource:
description: resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source.
properties:
name:
description: name is the name of the resource in question.
type: string
target:
description: target specifies the target value for the given metric
properties:
averageUtilization:
description: averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type
format: int32
type: integer
averageValue:
anyOf:
- type: integer
- type: string
description: averageValue is the target value of the average of the metric across all relevant pods (as a quantity)
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
type:
description: type represents whether the metric type is Utilization, Value, or AverageValue
type: string
value:
anyOf:
- type: integer
- type: string
description: value is the target value of the metric (as a quantity).
pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$
x-kubernetes-int-or-string: true
required:
- type
type: object
required:
- name
- target
type: object
type:
description: 'type is the type of metric source. It should be one of "ContainerResource", "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object. Note: "ContainerResource" type is available on when the feature-gate HPAContainerMetrics is enabled'
type: string
required:
- type
type: object
type: array
type: object type: object
StrategyType: StrategyType:
description: StrategyType is the strategy type of function. Now it only supports 'execution'. description: StrategyType is the strategy type of function. Now it only supports 'execution'.
+19 -4
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@@ -17,6 +17,7 @@ limitations under the License.
package v1 package v1
import ( import (
asv2beta2 "k8s.io/api/autoscaling/v2beta2"
apiv1 "k8s.io/api/core/v1" apiv1 "k8s.io/api/core/v1"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/runtime/schema" "k8s.io/apimachinery/pkg/runtime/schema"
@@ -459,22 +460,36 @@ type (
// +optional // +optional
ExecutorType ExecutorType `json:"ExecutorType"` ExecutorType ExecutorType `json:"ExecutorType"`
// +optional
// This is only for newdeploy to set up minimum replicas of deployment. // This is only for newdeploy to set up minimum replicas of deployment.
// +optional
MinScale int `json:"MinScale"` MinScale int `json:"MinScale"`
// +optional
// This is only for newdeploy to set up maximum replicas of deployment. // This is only for newdeploy to set up maximum replicas of deployment.
// +optional
MaxScale int `json:"MaxScale"` MaxScale int `json:"MaxScale"`
// Deprecated: use hpaMetrics instead.
// This is only for executor type newdeploy and container to set up target CPU utilization of HPA.
// Applicable for executor type newdeploy and container.
// +optional // +optional
// This is only for newdeploy to set up target CPU utilization of HPA.
TargetCPUPercent int `json:"TargetCPUPercent"` TargetCPUPercent int `json:"TargetCPUPercent"`
// +optional
// This is the timeout setting for executor to wait for pod specialization. // This is the timeout setting for executor to wait for pod specialization.
// +optional
SpecializationTimeout int `json:"SpecializationTimeout"` SpecializationTimeout int `json:"SpecializationTimeout"`
// hpaMetrics is the list of metrics used to determine the desired replica count of the Deployment
// created for the function.
// Applicable for executor type newdeploy and container.
// +optional
Metrics []asv2beta2.MetricSpec `json:"hpaMetrics,omitempty"`
// hpaBehavior is the behavior of HPA when scaling in up/down direction.
// Applicable for executor type newdeploy and container.
// +optional
Behavior *asv2beta2.HorizontalPodAutoscalerBehavior `json:"hpaBehavior,omitempty"`
} }
// FunctionReferenceType refers to type of Function // FunctionReferenceType refers to type of Function
FunctionReferenceType string FunctionReferenceType string
+4 -3
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@@ -20,6 +20,7 @@ import (
"errors" "errors"
"fmt" "fmt"
"net/http" "net/http"
"reflect"
"regexp" "regexp"
"strings" "strings"
@@ -270,7 +271,7 @@ func (spec FunctionSpec) Validate() error {
result = multierror.Append(result, c.Validate()) result = multierror.Append(result, c.Validate())
} }
if spec.InvokeStrategy != (InvokeStrategy{}) { if !reflect.DeepEqual(spec.InvokeStrategy, InvokeStrategy{}) {
result = multierror.Append(result, spec.InvokeStrategy.Validate()) result = multierror.Append(result, spec.InvokeStrategy.Validate())
} }
@@ -309,7 +310,7 @@ func (es ExecutionStrategy) Validate() error {
result = multierror.Append(result, MakeValidationErr(ErrorUnsupportedType, "ExecutionStrategy.ExecutorType", es.ExecutorType, "not a valid executor type")) result = multierror.Append(result, MakeValidationErr(ErrorUnsupportedType, "ExecutionStrategy.ExecutorType", es.ExecutorType, "not a valid executor type"))
} }
if es.ExecutorType == ExecutorTypeNewdeploy { if es.ExecutorType == ExecutorTypeNewdeploy || es.ExecutorType == ExecutorTypeContainer {
if es.MinScale < 0 { if es.MinScale < 0 {
result = multierror.Append(result, MakeValidationErr(ErrorInvalidValue, "ExecutionStrategy.MinScale", es.MinScale, "minimum scale must be greater than or equal to 0")) result = multierror.Append(result, MakeValidationErr(ErrorInvalidValue, "ExecutionStrategy.MinScale", es.MinScale, "minimum scale must be greater than or equal to 0"))
} }
@@ -322,7 +323,7 @@ func (es ExecutionStrategy) Validate() error {
result = multierror.Append(result, MakeValidationErr(ErrorInvalidValue, "ExecutionStrategy.MaxScale", es.MaxScale, "maximum scale must be greater than or equal to minimum scale")) result = multierror.Append(result, MakeValidationErr(ErrorInvalidValue, "ExecutionStrategy.MaxScale", es.MaxScale, "maximum scale must be greater than or equal to minimum scale"))
} }
if es.TargetCPUPercent <= 0 || es.TargetCPUPercent > 100 { if es.TargetCPUPercent < 0 || es.TargetCPUPercent > 100 {
result = multierror.Append(result, MakeValidationErr(ErrorInvalidValue, "ExecutionStrategy.TargetCPUPercent", es.TargetCPUPercent, "TargetCPUPercent must be a value between 1 - 100")) result = multierror.Append(result, MakeValidationErr(ErrorInvalidValue, "ExecutionStrategy.TargetCPUPercent", es.TargetCPUPercent, "TargetCPUPercent must be a value between 1 - 100"))
} }
+15 -2
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@@ -22,6 +22,7 @@ limitations under the License.
package v1 package v1
import ( import (
v2beta2 "k8s.io/api/autoscaling/v2beta2"
corev1 "k8s.io/api/core/v1" corev1 "k8s.io/api/core/v1"
runtime "k8s.io/apimachinery/pkg/runtime" runtime "k8s.io/apimachinery/pkg/runtime"
) )
@@ -313,6 +314,18 @@ func (in *EnvironmentSpec) DeepCopy() *EnvironmentSpec {
// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. // DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.
func (in *ExecutionStrategy) DeepCopyInto(out *ExecutionStrategy) { func (in *ExecutionStrategy) DeepCopyInto(out *ExecutionStrategy) {
*out = *in *out = *in
if in.Metrics != nil {
in, out := &in.Metrics, &out.Metrics
*out = make([]v2beta2.MetricSpec, len(*in))
for i := range *in {
(*in)[i].DeepCopyInto(&(*out)[i])
}
}
if in.Behavior != nil {
in, out := &in.Behavior, &out.Behavior
*out = new(v2beta2.HorizontalPodAutoscalerBehavior)
(*in).DeepCopyInto(*out)
}
return return
} }
@@ -442,7 +455,7 @@ func (in *FunctionSpec) DeepCopyInto(out *FunctionSpec) {
copy(*out, *in) copy(*out, *in)
} }
in.Resources.DeepCopyInto(&out.Resources) in.Resources.DeepCopyInto(&out.Resources)
out.InvokeStrategy = in.InvokeStrategy in.InvokeStrategy.DeepCopyInto(&out.InvokeStrategy)
if in.IdleTimeout != nil { if in.IdleTimeout != nil {
in, out := &in.IdleTimeout, &out.IdleTimeout in, out := &in.IdleTimeout, &out.IdleTimeout
*out = new(int) *out = new(int)
@@ -580,7 +593,7 @@ func (in *IngressConfig) DeepCopy() *IngressConfig {
// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. // DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.
func (in *InvokeStrategy) DeepCopyInto(out *InvokeStrategy) { func (in *InvokeStrategy) DeepCopyInto(out *InvokeStrategy) {
*out = *in *out = *in
out.ExecutionStrategy = in.ExecutionStrategy in.ExecutionStrategy.DeepCopyInto(&out.ExecutionStrategy)
return return
} }
@@ -143,8 +143,10 @@ var map_ExecutionStrategy = map[string]string{
"ExecutorType": "ExecutorType is the executor type of function used. Defaults to \"poolmgr\".\n\nAvailable value:\n - poolmgr\n - newdeploy\n - container", "ExecutorType": "ExecutorType is the executor type of function used. Defaults to \"poolmgr\".\n\nAvailable value:\n - poolmgr\n - newdeploy\n - container",
"MinScale": "This is only for newdeploy to set up minimum replicas of deployment.", "MinScale": "This is only for newdeploy to set up minimum replicas of deployment.",
"MaxScale": "This is only for newdeploy to set up maximum replicas of deployment.", "MaxScale": "This is only for newdeploy to set up maximum replicas of deployment.",
"TargetCPUPercent": "This is only for newdeploy to set up target CPU utilization of HPA.", "TargetCPUPercent": "Deprecated: use hpaMetrics instead. This is only for executor type newdeploy and container to set up target CPU utilization of HPA. Applicable for executor type newdeploy and container.",
"SpecializationTimeout": "This is the timeout setting for executor to wait for pod specialization.", "SpecializationTimeout": "This is the timeout setting for executor to wait for pod specialization.",
"hpaMetrics": "hpaMetrics is the list of metrics used to determine the desired replica count of the Deployment created for the function. Applicable for executor type newdeploy and container.",
"hpaBehavior": "hpaBehavior is the behavior of HPA when scaling in up/down direction. Applicable for executor type newdeploy and container.",
} }
func (ExecutionStrategy) SwaggerDoc() map[string]string { func (ExecutionStrategy) SwaggerDoc() map[string]string {
@@ -29,7 +29,6 @@ import (
multierror "github.com/hashicorp/go-multierror" multierror "github.com/hashicorp/go-multierror"
"github.com/pkg/errors" "github.com/pkg/errors"
"go.uber.org/zap" "go.uber.org/zap"
asv2beta2 "k8s.io/api/autoscaling/v2beta2"
apiv1 "k8s.io/api/core/v1" apiv1 "k8s.io/api/core/v1"
k8sErrs "k8s.io/apimachinery/pkg/api/errors" k8sErrs "k8s.io/apimachinery/pkg/api/errors"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
@@ -490,8 +489,7 @@ func (caaf *Container) updateFunction(ctx context.Context, oldFn *fv1.Function,
return err return err
} }
if oldFn.Spec.InvokeStrategy != newFn.Spec.InvokeStrategy { if !reflect.DeepEqual(oldFn.Spec.InvokeStrategy, newFn.Spec.InvokeStrategy) {
// to support backward compatibility, if the function was created in default ns, we fall back to creating the // to support backward compatibility, if the function was created in default ns, we fall back to creating the
// deployment of the function in fission-function ns, so cleaning up resources there // deployment of the function in fission-function ns, so cleaning up resources there
ns := caaf.namespace ns := caaf.namespace
@@ -524,10 +522,13 @@ func (caaf *Container) updateFunction(ctx context.Context, oldFn *fv1.Function,
hpaChanged = true hpaChanged = true
} }
if newFn.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent != oldFn.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent { if !reflect.DeepEqual(newFn.Spec.InvokeStrategy.ExecutionStrategy.Metrics, oldFn.Spec.InvokeStrategy.ExecutionStrategy.Metrics) {
targetCpupercent := int32(newFn.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent) hpa.Spec.Metrics = newFn.Spec.InvokeStrategy.ExecutionStrategy.Metrics
hpaMetric := hpautils.ConvertTargetCPUToCustomMetric(targetCpupercent) hpaChanged = true
hpa.Spec.Metrics = []asv2beta2.MetricSpec{hpaMetric} }
if !reflect.DeepEqual(newFn.Spec.InvokeStrategy.ExecutionStrategy.Behavior, oldFn.Spec.InvokeStrategy.ExecutionStrategy.Behavior) {
hpa.Spec.Behavior = newFn.Spec.InvokeStrategy.ExecutionStrategy.Behavior
hpaChanged = true hpaChanged = true
} }
@@ -20,6 +20,7 @@ import (
"context" "context"
"fmt" "fmt"
"os" "os"
"reflect"
"strconv" "strconv"
"strings" "strings"
"sync" "sync"
@@ -29,7 +30,6 @@ import (
"github.com/pkg/errors" "github.com/pkg/errors"
"go.uber.org/zap" "go.uber.org/zap"
autoscalingv1 "k8s.io/api/autoscaling/v1" autoscalingv1 "k8s.io/api/autoscaling/v1"
asv2beta2 "k8s.io/api/autoscaling/v2beta2"
apiv1 "k8s.io/api/core/v1" apiv1 "k8s.io/api/core/v1"
k8sErrs "k8s.io/apimachinery/pkg/api/errors" k8sErrs "k8s.io/apimachinery/pkg/api/errors"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
@@ -532,7 +532,7 @@ func (deploy *NewDeploy) updateFunction(ctx context.Context, oldFn *fv1.Function
deployChanged := false deployChanged := false
if oldFn.Spec.InvokeStrategy != newFn.Spec.InvokeStrategy { if !reflect.DeepEqual(oldFn.Spec.InvokeStrategy, newFn.Spec.InvokeStrategy) {
// to support backward compatibility, if the function was created in default ns, we fall back to creating the // to support backward compatibility, if the function was created in default ns, we fall back to creating the
// deployment of the function in fission-function ns, so cleaning up resources there // deployment of the function in fission-function ns, so cleaning up resources there
@@ -566,10 +566,13 @@ func (deploy *NewDeploy) updateFunction(ctx context.Context, oldFn *fv1.Function
hpaChanged = true hpaChanged = true
} }
if newFn.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent != oldFn.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent { if !reflect.DeepEqual(newFn.Spec.InvokeStrategy.ExecutionStrategy.Metrics, oldFn.Spec.InvokeStrategy.ExecutionStrategy.Metrics) {
targetCpupercent := int32(newFn.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent) hpa.Spec.Metrics = newFn.Spec.InvokeStrategy.ExecutionStrategy.Metrics
hpaMetric := hpautils.ConvertTargetCPUToCustomMetric(targetCpupercent) hpaChanged = true
hpa.Spec.Metrics = []asv2beta2.MetricSpec{hpaMetric} }
if !reflect.DeepEqual(newFn.Spec.InvokeStrategy.ExecutionStrategy.Behavior, oldFn.Spec.InvokeStrategy.ExecutionStrategy.Behavior) {
hpa.Spec.Behavior = newFn.Spec.InvokeStrategy.ExecutionStrategy.Behavior
hpaChanged = true hpaChanged = true
} }
+7 -2
View File
@@ -88,12 +88,16 @@ func (hpaops *HpaOperations) CreateOrGetHpa(ctx context.Context, hpaName string,
if maxRepl == 0 { if maxRepl == 0 {
maxRepl = minRepl maxRepl = minRepl
} }
targetCPU := int32(execStrategy.TargetCPUPercent) targetCPU := int32(execStrategy.TargetCPUPercent) // nolint: staticcheck
var hpaMetrics []asv2beta2.MetricSpec var hpaMetrics []asv2beta2.MetricSpec
if targetCPU > 0 { if targetCPU > 0 && targetCPU < 100 {
hpaMetrics = append(hpaMetrics, ConvertTargetCPUToCustomMetric(targetCPU)) hpaMetrics = append(hpaMetrics, ConvertTargetCPUToCustomMetric(targetCPU))
} }
if execStrategy.Metrics != nil {
hpaMetrics = append(hpaMetrics, execStrategy.Metrics...)
}
hpa := &asv2beta2.HorizontalPodAutoscaler{ hpa := &asv2beta2.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{ ObjectMeta: metav1.ObjectMeta{
Name: hpaName, Name: hpaName,
@@ -105,6 +109,7 @@ func (hpaops *HpaOperations) CreateOrGetHpa(ctx context.Context, hpaName string,
MinReplicas: &minRepl, MinReplicas: &minRepl,
MaxReplicas: maxRepl, MaxReplicas: maxRepl,
Metrics: hpaMetrics, Metrics: hpaMetrics,
Behavior: execStrategy.Behavior,
}, },
} }
+21 -25
View File
@@ -21,12 +21,14 @@ import (
"github.com/pkg/errors" "github.com/pkg/errors"
uuid "github.com/satori/go.uuid" uuid "github.com/satori/go.uuid"
asv2beta2 "k8s.io/api/autoscaling/v2beta2"
apiv1 "k8s.io/api/core/v1" apiv1 "k8s.io/api/core/v1"
k8serrors "k8s.io/apimachinery/pkg/api/errors" k8serrors "k8s.io/apimachinery/pkg/api/errors"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
fv1 "github.com/fission/fission/pkg/apis/core/v1" fv1 "github.com/fission/fission/pkg/apis/core/v1"
ferror "github.com/fission/fission/pkg/error" ferror "github.com/fission/fission/pkg/error"
"github.com/fission/fission/pkg/executor/util/hpa"
"github.com/fission/fission/pkg/fission-cli/cliwrapper/cli" "github.com/fission/fission/pkg/fission-cli/cliwrapper/cli"
"github.com/fission/fission/pkg/fission-cli/cmd" "github.com/fission/fission/pkg/fission-cli/cmd"
"github.com/fission/fission/pkg/fission-cli/cmd/httptrigger" "github.com/fission/fission/pkg/fission-cli/cmd/httptrigger"
@@ -38,9 +40,8 @@ import (
) )
const ( const (
DEFAULT_MIN_SCALE = 1 DEFAULT_MIN_SCALE = 1
DEFAULT_TARGET_CPU_PERCENTAGE = 80 DEFAULT_CONCURRENCY = 500
DEFAULT_CONCURRENCY = 500
) )
type CreateSubCommand struct { type CreateSubCommand struct {
@@ -463,13 +464,6 @@ func getExecutionStrategy(fnExecutor fv1.ExecutorType, input cli.Input) (strateg
SpecializationTimeout: specializationTimeout, SpecializationTimeout: specializationTimeout,
} }
} else { } else {
targetCPU := DEFAULT_TARGET_CPU_PERCENTAGE
if input.IsSet(flagkey.RuntimeTargetcpu) {
targetCPU, err = getTargetCPU(input)
if err != nil {
return nil, err
}
}
minScale := DEFAULT_MIN_SCALE minScale := DEFAULT_MIN_SCALE
if input.IsSet(flagkey.ReplicasMinscale) { if input.IsSet(flagkey.ReplicasMinscale) {
@@ -494,9 +488,16 @@ func getExecutionStrategy(fnExecutor fv1.ExecutorType, input cli.Input) (strateg
ExecutorType: fnExecutor, ExecutorType: fnExecutor,
MinScale: minScale, MinScale: minScale,
MaxScale: maxScale, MaxScale: maxScale,
TargetCPUPercent: targetCPU,
SpecializationTimeout: specializationTimeout, SpecializationTimeout: specializationTimeout,
} }
if input.IsSet(flagkey.RuntimeTargetcpu) {
targetCPU, err := getTargetCPU(input)
if err != nil {
return nil, err
}
strategy.Metrics = []asv2beta2.MetricSpec{hpa.ConvertTargetCPUToCustomMetric(int32(targetCPU))}
}
} }
return strategy, nil return strategy, nil
@@ -547,27 +548,14 @@ func updateExecutionStrategy(input cli.Input, existingExecutionStrategy *fv1.Exe
SpecializationTimeout: specializationTimeout, SpecializationTimeout: specializationTimeout,
} }
} else { } else {
targetCPU := existingExecutionStrategy.TargetCPUPercent
minScale := existingExecutionStrategy.MinScale minScale := existingExecutionStrategy.MinScale
maxScale := existingExecutionStrategy.MaxScale maxScale := existingExecutionStrategy.MaxScale
if fnExecutor != oldExecutor { // from poolmanager to newdeploy if fnExecutor != oldExecutor { // from poolmanager to newdeploy
targetCPU = DEFAULT_TARGET_CPU_PERCENTAGE
minScale = DEFAULT_MIN_SCALE minScale = DEFAULT_MIN_SCALE
maxScale = minScale maxScale = minScale
} }
if input.IsSet(flagkey.RuntimeTargetcpu) {
targetCPU, err = getTargetCPU(input)
if err != nil {
return nil, err
}
} else {
if targetCPU <= 0 || targetCPU > 100 {
targetCPU = DEFAULT_TARGET_CPU_PERCENTAGE
}
}
if input.IsSet(flagkey.ReplicasMinscale) { if input.IsSet(flagkey.ReplicasMinscale) {
minScale = input.Int(flagkey.ReplicasMinscale) minScale = input.Int(flagkey.ReplicasMinscale)
} }
@@ -593,9 +581,17 @@ func updateExecutionStrategy(input cli.Input, existingExecutionStrategy *fv1.Exe
ExecutorType: fnExecutor, ExecutorType: fnExecutor,
MinScale: minScale, MinScale: minScale,
MaxScale: maxScale, MaxScale: maxScale,
TargetCPUPercent: targetCPU,
SpecializationTimeout: specializationTimeout, SpecializationTimeout: specializationTimeout,
} }
if input.IsSet(flagkey.RuntimeTargetcpu) {
targetCPU, err := getTargetCPU(input)
if err != nil {
return nil, err
}
strategy.Metrics = []asv2beta2.MetricSpec{hpa.ConvertTargetCPUToCustomMetric(int32(targetCPU))}
}
} }
return strategy, nil return strategy, nil
+8 -19
View File
@@ -21,8 +21,10 @@ import (
"testing" "testing"
"github.com/stretchr/testify/assert" "github.com/stretchr/testify/assert"
asv2beta2 "k8s.io/api/autoscaling/v2beta2"
fv1 "github.com/fission/fission/pkg/apis/core/v1" fv1 "github.com/fission/fission/pkg/apis/core/v1"
"github.com/fission/fission/pkg/executor/util/hpa"
"github.com/fission/fission/pkg/fission-cli/cliwrapper/driver/dummy" "github.com/fission/fission/pkg/fission-cli/cliwrapper/driver/dummy"
flagkey "github.com/fission/fission/pkg/fission-cli/flag/key" flagkey "github.com/fission/fission/pkg/fission-cli/flag/key"
) )
@@ -71,7 +73,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: DEFAULT_MIN_SCALE, MinScale: DEFAULT_MIN_SCALE,
MaxScale: DEFAULT_MIN_SCALE, MaxScale: DEFAULT_MIN_SCALE,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -92,7 +93,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: DEFAULT_MIN_SCALE, MinScale: DEFAULT_MIN_SCALE,
MaxScale: DEFAULT_MIN_SCALE, MaxScale: DEFAULT_MIN_SCALE,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -107,7 +107,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: DEFAULT_MIN_SCALE, MinScale: DEFAULT_MIN_SCALE,
MaxScale: DEFAULT_MIN_SCALE, MaxScale: DEFAULT_MIN_SCALE,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -134,7 +133,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 3, MaxScale: 3,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -164,7 +162,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 5, MinScale: 5,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -183,7 +180,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: DEFAULT_MIN_SCALE, MinScale: DEFAULT_MIN_SCALE,
MaxScale: 3, MaxScale: 3,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -211,7 +207,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -230,7 +225,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -240,7 +234,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 9, MaxScale: 9,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -257,7 +250,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -267,7 +259,6 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -286,7 +277,7 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: DEFAULT_MIN_SCALE, MinScale: DEFAULT_MIN_SCALE,
MaxScale: DEFAULT_MIN_SCALE, MaxScale: DEFAULT_MIN_SCALE,
TargetCPUPercent: 50, Metrics: []asv2beta2.MetricSpec{hpa.ConvertTargetCPUToCustomMetric(50)},
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -304,7 +295,7 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: 88, Metrics: []asv2beta2.MetricSpec{hpa.ConvertTargetCPUToCustomMetric(88)},
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -314,7 +305,7 @@ func TestGetInvokeStrategy(t *testing.T) {
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: 20, Metrics: []asv2beta2.MetricSpec{hpa.ConvertTargetCPUToCustomMetric(20)},
SpecializationTimeout: fv1.DefaultSpecializationTimeOut, SpecializationTimeout: fv1.DefaultSpecializationTimeOut,
}, },
}, },
@@ -329,10 +320,9 @@ func TestGetInvokeStrategy(t *testing.T) {
existingInvokeStrategy: &fv1.InvokeStrategy{ existingInvokeStrategy: &fv1.InvokeStrategy{
StrategyType: fv1.StrategyTypeExecution, StrategyType: fv1.StrategyTypeExecution,
ExecutionStrategy: fv1.ExecutionStrategy{ ExecutionStrategy: fv1.ExecutionStrategy{
ExecutorType: fv1.ExecutorTypeNewdeploy, ExecutorType: fv1.ExecutorTypeNewdeploy,
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
}, },
}, },
expectedResult: &fv1.InvokeStrategy{ expectedResult: &fv1.InvokeStrategy{
@@ -342,7 +332,6 @@ func TestGetInvokeStrategy(t *testing.T) {
MinScale: 2, MinScale: 2,
MaxScale: 5, MaxScale: 5,
SpecializationTimeout: 200, SpecializationTimeout: 200,
TargetCPUPercent: DEFAULT_TARGET_CPU_PERCENTAGE,
}, },
}, },
expectError: false, expectError: false,
+2 -3
View File
@@ -47,7 +47,7 @@ func (opts *ListSubCommand) do(input cli.Input) error {
w := tabwriter.NewWriter(os.Stdout, 0, 0, 1, ' ', 0) w := tabwriter.NewWriter(os.Stdout, 0, 0, 1, ' ', 0)
fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n", "NAME", "ENV", "EXECUTORTYPE", "MINSCALE", "MAXSCALE", "MINCPU", "MAXCPU", "MINMEMORY", "MAXMEMORY", "TARGETCPU", "SECRETS", "CONFIGMAPS") fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n", "NAME", "ENV", "EXECUTORTYPE", "MINSCALE", "MAXSCALE", "MINCPU", "MAXCPU", "MINMEMORY", "MAXMEMORY", "SECRETS", "CONFIGMAPS")
for _, f := range fns { for _, f := range fns {
secrets := f.Spec.Secrets secrets := f.Spec.Secrets
configMaps := f.Spec.ConfigMaps configMaps := f.Spec.ConfigMaps
@@ -59,7 +59,7 @@ func (opts *ListSubCommand) do(input cli.Input) error {
configMapList = append(configMapList, configMap.Name) configMapList = append(configMapList, configMap.Name)
} }
fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n", fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n",
f.ObjectMeta.Name, f.Spec.Environment.Name, f.ObjectMeta.Name, f.Spec.Environment.Name,
f.Spec.InvokeStrategy.ExecutionStrategy.ExecutorType, f.Spec.InvokeStrategy.ExecutionStrategy.ExecutorType,
f.Spec.InvokeStrategy.ExecutionStrategy.MinScale, f.Spec.InvokeStrategy.ExecutionStrategy.MinScale,
@@ -68,7 +68,6 @@ func (opts *ListSubCommand) do(input cli.Input) error {
f.Spec.Resources.Limits.Cpu().String(), f.Spec.Resources.Limits.Cpu().String(),
f.Spec.Resources.Requests.Memory().String(), f.Spec.Resources.Requests.Memory().String(),
f.Spec.Resources.Limits.Memory().String(), f.Spec.Resources.Limits.Memory().String(),
f.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent,
strings.Join(secretsList, ","), strings.Join(secretsList, ","),
strings.Join(configMapList, ",")) strings.Join(configMapList, ","))
} }
+2 -3
View File
@@ -218,7 +218,7 @@ func ShowFunctions(fns []fv1.Function) {
if len(fns) > 0 { if len(fns) > 0 {
w := tabwriter.NewWriter(os.Stdout, 0, 0, 1, ' ', 0) w := tabwriter.NewWriter(os.Stdout, 0, 0, 1, ' ', 0)
fmt.Fprintf(w, "%v\n", "Functions:") fmt.Fprintf(w, "%v\n", "Functions:")
fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n", "NAME", "ENV", "EXECUTORTYPE", "MINSCALE", "MAXSCALE", "MINCPU", "MAXCPU", "MINMEMORY", "MAXMEMORY", "TARGETCPU", "SECRETS", "CONFIGMAPS") fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n", "NAME", "ENV", "EXECUTORTYPE", "MINSCALE", "MAXSCALE", "MINCPU", "MAXCPU", "MINMEMORY", "MAXMEMORY", "SECRETS", "CONFIGMAPS")
for _, f := range fns { for _, f := range fns {
secrets := f.Spec.Secrets secrets := f.Spec.Secrets
@@ -231,7 +231,7 @@ func ShowFunctions(fns []fv1.Function) {
configMapList = append(configMapList, configMap.Name) configMapList = append(configMapList, configMap.Name)
} }
fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n", fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\n",
f.ObjectMeta.Name, f.Spec.Environment.Name, f.ObjectMeta.Name, f.Spec.Environment.Name,
f.Spec.InvokeStrategy.ExecutionStrategy.ExecutorType, f.Spec.InvokeStrategy.ExecutionStrategy.ExecutorType,
f.Spec.InvokeStrategy.ExecutionStrategy.MinScale, f.Spec.InvokeStrategy.ExecutionStrategy.MinScale,
@@ -240,7 +240,6 @@ func ShowFunctions(fns []fv1.Function) {
f.Spec.Resources.Limits.Cpu().String(), f.Spec.Resources.Limits.Cpu().String(),
f.Spec.Resources.Requests.Memory().String(), f.Spec.Resources.Requests.Memory().String(),
f.Spec.Resources.Limits.Memory().String(), f.Spec.Resources.Limits.Memory().String(),
f.Spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent,
strings.Join(secretsList, ","), strings.Join(secretsList, ","),
strings.Join(configMapList, ",")) strings.Join(configMapList, ","))
} }
@@ -49,7 +49,7 @@ sleep 5
func=function func=function
actualMinScale=$(kubectl -n default get $func $fn -ojsonpath='{.spec.InvokeStrategy.ExecutionStrategy.MinScale}') actualMinScale=$(kubectl -n default get $func $fn -ojsonpath='{.spec.InvokeStrategy.ExecutionStrategy.MinScale}')
actualMaxScale=$(kubectl -n default get $func $fn -ojsonpath='{.spec.InvokeStrategy.ExecutionStrategy.MaxScale}') actualMaxScale=$(kubectl -n default get $func $fn -ojsonpath='{.spec.InvokeStrategy.ExecutionStrategy.MaxScale}')
actualTargetCPU=$(kubectl -n default get $func $fn -ojsonpath='{.spec.InvokeStrategy.ExecutionStrategy.TargetCPUPercent}') actualTargetCPU=$(kubectl -n default get $func $fn -ojsonpath='{.spec.InvokeStrategy.ExecutionStrategy.hpaMetrics[0].target.averageUtilization}')
if [ "$actualMinScale" -ne "$targetMinScale" ] if [ "$actualMinScale" -ne "$targetMinScale" ]
then then