HPA scale-to-zero for custom object/external metrics
Add support for scaling to zero pods minReplicas is allowed to be zero condition is set once Based on https://github.com/kubernetes/kubernetes/pull/61423 set original valid condition add scale to/from zero and invalid metric tests Scaling up from zero pods ignores tolerance validate metrics when minReplicas is 0 Document HPA behaviour when minReplicas is 0 Documented minReplicas field in autoscaling APIs
This commit is contained in:
@@ -1066,6 +1066,68 @@ func TestScaleUpCMObject(t *testing.T) {
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tc.runTest(t)
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}
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func TestScaleUpFromZeroCMObject(t *testing.T) {
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targetValue := resource.MustParse("15.0")
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tc := testCase{
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minReplicas: 0,
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maxReplicas: 6,
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initialReplicas: 0,
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expectedDesiredReplicas: 2,
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CPUTarget: 0,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ObjectMetricSourceType,
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Object: &autoscalingv2.ObjectMetricSource{
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DescribedObject: autoscalingv2.CrossVersionObjectReference{
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APIVersion: "apps/v1",
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Kind: "Deployment",
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Name: "some-deployment",
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},
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Metric: autoscalingv2.MetricIdentifier{
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Name: "qps",
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},
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Target: autoscalingv2.MetricTarget{
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Value: &targetValue,
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},
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},
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},
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},
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reportedLevels: []uint64{20000},
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}
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tc.runTest(t)
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}
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func TestScaleUpFromZeroIgnoresToleranceCMObject(t *testing.T) {
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targetValue := resource.MustParse("1.0")
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tc := testCase{
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minReplicas: 0,
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maxReplicas: 6,
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initialReplicas: 0,
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expectedDesiredReplicas: 1,
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CPUTarget: 0,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ObjectMetricSourceType,
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Object: &autoscalingv2.ObjectMetricSource{
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DescribedObject: autoscalingv2.CrossVersionObjectReference{
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APIVersion: "apps/v1",
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Kind: "Deployment",
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Name: "some-deployment",
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},
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Metric: autoscalingv2.MetricIdentifier{
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Name: "qps",
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},
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Target: autoscalingv2.MetricTarget{
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Value: &targetValue,
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},
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},
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},
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},
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reportedLevels: []uint64{1000},
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}
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tc.runTest(t)
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}
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func TestScaleUpPerPodCMObject(t *testing.T) {
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targetAverageValue := resource.MustParse("10.0")
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tc := testCase{
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@@ -1163,6 +1225,67 @@ func TestScaleDown(t *testing.T) {
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tc.runTest(t)
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}
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func TestScaleUpOneMetricInvalid(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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maxReplicas: 6,
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initialReplicas: 3,
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expectedDesiredReplicas: 4,
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CPUTarget: 30,
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verifyCPUCurrent: true,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: "CheddarCheese",
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},
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},
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reportedLevels: []uint64{300, 400, 500},
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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}
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tc.runTest(t)
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}
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func TestScaleUpFromZeroOneMetricInvalid(t *testing.T) {
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tc := testCase{
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minReplicas: 0,
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maxReplicas: 6,
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initialReplicas: 0,
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expectedDesiredReplicas: 4,
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CPUTarget: 30,
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verifyCPUCurrent: true,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: "CheddarCheese",
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},
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},
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reportedLevels: []uint64{300, 400, 500},
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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recommendations: []timestampedRecommendation{},
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}
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tc.runTest(t)
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}
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func TestScaleUpBothMetricsEmpty(t *testing.T) { // Switch to missing
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tc := testCase{
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minReplicas: 2,
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maxReplicas: 6,
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initialReplicas: 3,
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expectedDesiredReplicas: 3,
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CPUTarget: 0,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: "CheddarCheese",
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},
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},
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reportedLevels: []uint64{},
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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expectedConditions: []autoscalingv1.HorizontalPodAutoscalerCondition{
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{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "SucceededGetScale"},
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{Type: autoscalingv1.ScalingActive, Status: v1.ConditionFalse, Reason: "InvalidMetricSourceType"},
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},
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}
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tc.runTest(t)
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}
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func TestScaleDownStabilizeInitialSize(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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@@ -1249,6 +1372,39 @@ func TestScaleDownCMObject(t *testing.T) {
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tc.runTest(t)
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}
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func TestScaleDownToZeroCMObject(t *testing.T) {
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targetValue := resource.MustParse("20.0")
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tc := testCase{
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minReplicas: 0,
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maxReplicas: 6,
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initialReplicas: 5,
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expectedDesiredReplicas: 0,
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CPUTarget: 0,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ObjectMetricSourceType,
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Object: &autoscalingv2.ObjectMetricSource{
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DescribedObject: autoscalingv2.CrossVersionObjectReference{
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APIVersion: "apps/v1",
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Kind: "Deployment",
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Name: "some-deployment",
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},
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Metric: autoscalingv2.MetricIdentifier{
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Name: "qps",
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},
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Target: autoscalingv2.MetricTarget{
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Value: &targetValue,
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},
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},
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},
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},
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reportedLevels: []uint64{0},
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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recommendations: []timestampedRecommendation{},
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}
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tc.runTest(t)
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}
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func TestScaleDownPerPodCMObject(t *testing.T) {
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targetAverageValue := resource.MustParse("20.0")
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tc := testCase{
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@@ -1308,6 +1464,32 @@ func TestScaleDownCMExternal(t *testing.T) {
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tc.runTest(t)
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}
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func TestScaleDownToZeroCMExternal(t *testing.T) {
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tc := testCase{
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minReplicas: 0,
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maxReplicas: 6,
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initialReplicas: 5,
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expectedDesiredReplicas: 0,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ExternalMetricSourceType,
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External: &autoscalingv2.ExternalMetricSource{
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Metric: autoscalingv2.MetricIdentifier{
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Name: "qps",
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Selector: &metav1.LabelSelector{},
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},
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Target: autoscalingv2.MetricTarget{
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Value: resource.NewMilliQuantity(14400, resource.DecimalSI),
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},
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},
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},
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},
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reportedLevels: []uint64{0},
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recommendations: []timestampedRecommendation{},
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}
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tc.runTest(t)
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}
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func TestScaleDownPerPodCMExternal(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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@@ -1352,6 +1534,62 @@ func TestScaleDownIncludeUnreadyPods(t *testing.T) {
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tc.runTest(t)
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}
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func TestScaleDownOneMetricInvalid(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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maxReplicas: 6,
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initialReplicas: 5,
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expectedDesiredReplicas: 3,
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CPUTarget: 50,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: "CheddarCheese",
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},
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},
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reportedLevels: []uint64{100, 300, 500, 250, 250},
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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useMetricsAPI: true,
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recommendations: []timestampedRecommendation{},
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}
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tc.runTest(t)
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}
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func TestScaleDownOneMetricEmpty(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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maxReplicas: 6,
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initialReplicas: 5,
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expectedDesiredReplicas: 3,
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CPUTarget: 50,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ExternalMetricSourceType,
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External: &autoscalingv2.ExternalMetricSource{
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Metric: autoscalingv2.MetricIdentifier{
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Name: "qps",
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Selector: &metav1.LabelSelector{},
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},
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Target: autoscalingv2.MetricTarget{
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Type: autoscalingv2.AverageValueMetricType,
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AverageValue: resource.NewMilliQuantity(1000, resource.DecimalSI),
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},
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},
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},
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},
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reportedLevels: []uint64{100, 300, 500, 250, 250},
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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useMetricsAPI: true,
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recommendations: []timestampedRecommendation{},
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}
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_, _, _, testEMClient, _ := tc.prepareTestClient(t)
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testEMClient.PrependReactor("list", "*", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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return true, &emapi.ExternalMetricValueList{}, fmt.Errorf("something went wrong")
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})
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tc.testEMClient = testEMClient
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tc.runTest(t)
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}
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func TestScaleDownIgnoreHotCpuPods(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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@@ -1610,6 +1848,26 @@ func TestMinReplicas(t *testing.T) {
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tc.runTest(t)
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}
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func TestZeroMinReplicasDesiredZero(t *testing.T) {
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tc := testCase{
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minReplicas: 0,
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maxReplicas: 5,
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initialReplicas: 3,
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expectedDesiredReplicas: 0,
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CPUTarget: 90,
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reportedLevels: []uint64{0, 0, 0},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
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useMetricsAPI: true,
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expectedConditions: statusOkWithOverrides(autoscalingv2.HorizontalPodAutoscalerCondition{
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Type: autoscalingv2.ScalingLimited,
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Status: v1.ConditionFalse,
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Reason: "DesiredWithinRange",
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}),
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recommendations: []timestampedRecommendation{},
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}
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tc.runTest(t)
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}
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func TestMinReplicasDesiredZero(t *testing.T) {
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tc := testCase{
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minReplicas: 2,
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@@ -2553,9 +2811,9 @@ func TestConvertDesiredReplicasWithRules(t *testing.T) {
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expectedDesiredReplicas: 0,
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hpaMinReplicas: 0,
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hpaMaxReplicas: 10,
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expectedConvertedDesiredReplicas: 1,
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expectedCondition: "TooFewReplicas",
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annotation: "1 is minLimit because hpaMinReplicas < 1",
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expectedConvertedDesiredReplicas: 0,
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expectedCondition: "DesiredWithinRange",
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annotation: "prenormalized desired replicas within range",
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},
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{
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currentReplicas: 20,
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@@ -2717,8 +2975,9 @@ func TestNoScaleDownOneMetricInvalid(t *testing.T) {
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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useMetricsAPI: true,
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expectedConditions: []autoscalingv1.HorizontalPodAutoscalerCondition{
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{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "SucceededGetScale"},
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{Type: autoscalingv1.ScalingActive, Status: v1.ConditionFalse, Reason: "InvalidMetricSourceType"},
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{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "ScaleDownStabilized"},
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{Type: autoscalingv1.ScalingActive, Status: v1.ConditionTrue, Reason: "ValidMetricFound"},
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{Type: autoscalingv1.ScalingLimited, Status: v1.ConditionFalse, Reason: "DesiredWithinRange"},
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},
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}
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@@ -2750,8 +3009,9 @@ func TestNoScaleDownOneMetricEmpty(t *testing.T) {
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reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
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useMetricsAPI: true,
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expectedConditions: []autoscalingv1.HorizontalPodAutoscalerCondition{
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{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "SucceededGetScale"},
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{Type: autoscalingv1.ScalingActive, Status: v1.ConditionFalse, Reason: "FailedGetExternalMetric"},
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{Type: autoscalingv1.AbleToScale, Status: v1.ConditionTrue, Reason: "ScaleDownStabilized"},
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{Type: autoscalingv1.ScalingActive, Status: v1.ConditionTrue, Reason: "ValidMetricFound"},
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{Type: autoscalingv1.ScalingLimited, Status: v1.ConditionFalse, Reason: "DesiredWithinRange"},
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},
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}
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_, _, _, testEMClient, _ := tc.prepareTestClient(t)
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