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Add tests for handling scaling on unavailable metrics

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Add three tests for handling invalid metrics when scaling on
multiple metrics - one for scaling up successfully (new behaviour)
and two for ensuring we don't scale down (existing behaviour).
This commit is contained in:
GuyTempleton 2019-05-29 21:18:22 +01:00
parent f780ac028b
commit ee4dbbcbff
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GPG Key ID: 1293A624D42B68E0
1 changed files with 95 additions and 1 deletions
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96
pkg/controller/podautoscaler/horizontal_test.go
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@ -26,7 +26,7 @@ import (
autoscalingv1 "k8s.io/api/autoscaling/v1"
autoscalingv2 "k8s.io/api/autoscaling/v2beta2"
"k8s.io/api/core/v1"
v1 "k8s.io/api/core/v1"
"k8s.io/apimachinery/pkg/api/meta/testrestmapper"
"k8s.io/apimachinery/pkg/api/resource"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
@ -2668,4 +2668,98 @@ func TestNormalizeDesiredReplicas(t *testing.T) {
}
}
func TestScaleUpOneMetricEmpty(t *testing.T) {
tc := testCase{
minReplicas: 2,
maxReplicas: 6,
initialReplicas: 3,
expectedDesiredReplicas: 4,
CPUTarget: 30,
verifyCPUCurrent: true,
metricsTarget: []autoscalingv2.MetricSpec{
{
Type: autoscalingv2.ExternalMetricSourceType,
External: &autoscalingv2.ExternalMetricSource{
Metric: autoscalingv2.MetricIdentifier{
Name: "qps",
Selector: &metav1.LabelSelector{},
},
Target: autoscalingv2.MetricTarget{
Value: resource.NewMilliQuantity(100, resource.DecimalSI),
},
},
},
},
reportedLevels: []uint64{300, 400, 500},
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
}
_, _, _, testEMClient, _ := tc.prepareTestClient(t)
testEMClient.PrependReactor("list", "*", func(action core.Action) (handled bool, ret runtime.Object, err error) {
return true, &emapi.ExternalMetricValueList{}, fmt.Errorf("something went wrong")
})
tc.testEMClient = testEMClient
tc.runTest(t)
}
func TestNoScaleDownOneMetricInvalid(t *testing.T) {
tc := testCase{
minReplicas: 2,
maxReplicas: 6,
initialReplicas: 5,
expectedDesiredReplicas: 5,
CPUTarget: 50,
metricsTarget: []autoscalingv2.MetricSpec{
{
Type: "CheddarCheese",
},
},
reportedLevels: []uint64{100, 300, 500, 250, 250},
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
useMetricsAPI: true,
expectedConditions: []autoscalingv1.HorizontalPodAutoscalerCondition{
{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "SucceededGetScale"},
{Type: autoscalingv1.ScalingActive, Status: v1.ConditionFalse, Reason: "InvalidMetricSourceType"},
},
}
tc.runTest(t)
}
func TestNoScaleDownOneMetricEmpty(t *testing.T) {
tc := testCase{
minReplicas: 2,
maxReplicas: 6,
initialReplicas: 5,
expectedDesiredReplicas: 5,
CPUTarget: 50,
metricsTarget: []autoscalingv2.MetricSpec{
{
Type: autoscalingv2.ExternalMetricSourceType,
External: &autoscalingv2.ExternalMetricSource{
Metric: autoscalingv2.MetricIdentifier{
Name: "qps",
Selector: &metav1.LabelSelector{},
},
Target: autoscalingv2.MetricTarget{
Value: resource.NewMilliQuantity(1000, resource.DecimalSI),
},
},
},
},
reportedLevels: []uint64{100, 300, 500, 250, 250},
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
useMetricsAPI: true,
expectedConditions: []autoscalingv1.HorizontalPodAutoscalerCondition{
{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "SucceededGetScale"},
{Type: autoscalingv1.ScalingActive, Status: v1.ConditionFalse, Reason: "FailedGetExternalMetric"},
},
}
_, _, _, testEMClient, _ := tc.prepareTestClient(t)
testEMClient.PrependReactor("list", "*", func(action core.Action) (handled bool, ret runtime.Object, err error) {
return true, &emapi.ExternalMetricValueList{}, fmt.Errorf("something went wrong")
})
tc.testEMClient = testEMClient
tc.runTest(t)
}
// TODO: add more tests