mirror of
https://github.com/k3s-io/kubernetes.git
synced 2025-07-22 19:31:44 +00:00
Fix static checks for pkg/controller/podautoscaler
This commit is contained in:
parent
77b725784c
commit
4e62298c1b
@ -1,5 +1,4 @@
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cluster/images/etcd/migrate
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pkg/controller/podautoscaler
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pkg/controller/replicaset
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pkg/volume/testing
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test/e2e/autoscaling
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@ -459,7 +459,6 @@ func (a *HorizontalController) computeStatusForResourceMetricGeneric(currentRepl
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if target.AverageUtilization == nil {
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errMsg := "invalid resource metric source: neither a utilization target nor a value target was set"
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err = fmt.Errorf(errMsg)
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return 0, nil, time.Time{}, "", condition, fmt.Errorf(errMsg)
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}
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@ -2594,32 +2594,6 @@ func TestConditionFailedUpdateScale(t *testing.T) {
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tc.runTest(t)
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}
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func NoTestBackoffUpscale(t *testing.T) {
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time := metav1.Time{Time: time.Now()}
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tc := testCase{
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minReplicas: 1,
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maxReplicas: 5,
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specReplicas: 3,
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statusReplicas: 3,
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expectedDesiredReplicas: 3,
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CPUTarget: 100,
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reportedLevels: []uint64{150, 150, 150},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.1"), resource.MustParse("0.1"), resource.MustParse("0.1")},
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useMetricsAPI: true,
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lastScaleTime: &time,
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expectedConditions: statusOkWithOverrides(autoscalingv2.HorizontalPodAutoscalerCondition{
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Type: autoscalingv2.AbleToScale,
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Status: v1.ConditionTrue,
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Reason: "ReadyForNewScale",
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}, autoscalingv2.HorizontalPodAutoscalerCondition{
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Type: autoscalingv2.AbleToScale,
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Status: v1.ConditionTrue,
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Reason: "SucceededRescale",
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}),
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}
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tc.runTest(t)
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}
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func TestNoBackoffUpscaleCM(t *testing.T) {
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averageValue := resource.MustParse("15.0")
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time := metav1.Time{Time: time.Now()}
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@ -21,7 +21,6 @@ import (
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"encoding/json"
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"fmt"
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"io"
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"math"
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"strconv"
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"strings"
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"sync"
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@ -754,111 +753,6 @@ func TestLegacyScaleDownIgnoresUnreadyPods(t *testing.T) {
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tc.runTest(t)
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}
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func LegacyTestTolerance(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 5,
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initialReplicas: 3,
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desiredReplicas: 3,
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CPUTarget: 100,
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reportedLevels: []uint64{1010, 1030, 1020},
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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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}
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tc.runTest(t)
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}
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func LegacyTestToleranceCM(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 5,
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initialReplicas: 3,
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desiredReplicas: 3,
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metricsTarget: []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.PodsMetricSourceType,
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Pods: &autoscalingv2.PodsMetricSource{
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MetricName: "qps",
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TargetAverageValue: resource.MustParse("20.0"),
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},
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},
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},
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reportedLevels: []uint64{20, 21, 21},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
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}
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tc.runTest(t)
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}
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func LegacyTestMinReplicas(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 2,
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maxReplicas: 5,
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initialReplicas: 3,
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desiredReplicas: 2,
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CPUTarget: 90,
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reportedLevels: []uint64{10, 95, 10},
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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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}
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tc.runTest(t)
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}
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func LegacyTestZeroReplicas(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 3,
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maxReplicas: 5,
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initialReplicas: 0,
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desiredReplicas: 0,
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CPUTarget: 90,
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reportedLevels: []uint64{},
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reportedCPURequests: []resource.Quantity{},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestTooFewReplicas(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 3,
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maxReplicas: 5,
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initialReplicas: 2,
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desiredReplicas: 3,
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CPUTarget: 90,
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reportedLevels: []uint64{},
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reportedCPURequests: []resource.Quantity{},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestTooManyReplicas(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 3,
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maxReplicas: 5,
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initialReplicas: 10,
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desiredReplicas: 5,
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CPUTarget: 90,
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reportedLevels: []uint64{},
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reportedCPURequests: []resource.Quantity{},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestMaxReplicas(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 2,
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maxReplicas: 5,
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initialReplicas: 3,
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desiredReplicas: 5,
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CPUTarget: 90,
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reportedLevels: []uint64{8000, 9500, 1000},
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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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}
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tc.runTest(t)
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}
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func TestLegacySuperfluousMetrics(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 2,
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@ -873,174 +767,6 @@ func TestLegacySuperfluousMetrics(t *testing.T) {
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tc.runTest(t)
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}
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func LegacyTestMissingMetrics(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 2,
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maxReplicas: 6,
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initialReplicas: 4,
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desiredReplicas: 3,
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CPUTarget: 100,
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reportedLevels: []uint64{400, 95},
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reportedCPURequests: []resource.Quantity{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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}
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tc.runTest(t)
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}
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func LegacyTestEmptyMetrics(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 2,
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maxReplicas: 6,
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initialReplicas: 4,
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desiredReplicas: 4,
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CPUTarget: 100,
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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"), resource.MustParse("1.0")},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestEmptyCPURequest(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 5,
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initialReplicas: 1,
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desiredReplicas: 1,
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CPUTarget: 100,
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reportedLevels: []uint64{200},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestEventCreated(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 5,
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initialReplicas: 1,
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desiredReplicas: 2,
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CPUTarget: 50,
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reportedLevels: []uint64{200},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.2")},
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verifyEvents: true,
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestEventNotCreated(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 5,
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initialReplicas: 2,
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desiredReplicas: 2,
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CPUTarget: 50,
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reportedLevels: []uint64{200, 200},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.4"), resource.MustParse("0.4")},
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verifyEvents: true,
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestMissingReports(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 5,
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initialReplicas: 4,
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desiredReplicas: 2,
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CPUTarget: 50,
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reportedLevels: []uint64{200},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.2")},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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func LegacyTestUpscaleCap(t *testing.T) {
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tc := legacyTestCase{
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minReplicas: 1,
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maxReplicas: 100,
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initialReplicas: 3,
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desiredReplicas: 6,
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CPUTarget: 10,
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reportedLevels: []uint64{100, 200, 300},
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reportedCPURequests: []resource.Quantity{resource.MustParse("0.1"), resource.MustParse("0.1"), resource.MustParse("0.1")},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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}
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// TestComputedToleranceAlgImplementation is a regression test which
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// back-calculates a minimal percentage for downscaling based on a small percentage
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// increase in pod utilization which is calibrated against the tolerance value.
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func LegacyTestComputedToleranceAlgImplementation(t *testing.T) {
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startPods := int32(10)
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// 150 mCPU per pod.
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totalUsedCPUOfAllPods := uint64(startPods * 150)
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// Each pod starts out asking for 2X what is really needed.
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// This means we will have a 50% ratio of used/requested
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totalRequestedCPUOfAllPods := int32(2 * totalUsedCPUOfAllPods)
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requestedToUsed := float64(totalRequestedCPUOfAllPods / int32(totalUsedCPUOfAllPods))
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// Spread the amount we ask over 10 pods. We can add some jitter later in reportedLevels.
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perPodRequested := totalRequestedCPUOfAllPods / startPods
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// Force a minimal scaling event by satisfying (tolerance < 1 - resourcesUsedRatio).
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target := math.Abs(1/(requestedToUsed*(1-defaultTestingTolerance))) + .01
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finalCPUPercentTarget := int32(target * 100)
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resourcesUsedRatio := float64(totalUsedCPUOfAllPods) / float64(float64(totalRequestedCPUOfAllPods)*target)
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// i.e. .60 * 20 -> scaled down expectation.
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finalPods := int32(math.Ceil(resourcesUsedRatio * float64(startPods)))
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// To breach tolerance we will create a utilization ratio difference of tolerance to usageRatioToleranceValue)
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tc := legacyTestCase{
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minReplicas: 0,
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maxReplicas: 1000,
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initialReplicas: startPods,
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desiredReplicas: finalPods,
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CPUTarget: finalCPUPercentTarget,
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reportedLevels: []uint64{
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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totalUsedCPUOfAllPods / 10,
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},
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reportedCPURequests: []resource.Quantity{
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resource.MustParse(fmt.Sprint(perPodRequested+100) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested-100) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested+10) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested-10) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested+2) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested-2) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested+1) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested-1) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested) + "m"),
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resource.MustParse(fmt.Sprint(perPodRequested) + "m"),
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},
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useMetricsAPI: true,
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}
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tc.runTest(t)
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// Reuse the data structure above, now testing "unscaling".
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// Now, we test that no scaling happens if we are in a very close margin to the tolerance
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target = math.Abs(1/(requestedToUsed*(1-defaultTestingTolerance))) + .004
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finalCPUPercentTarget = int32(target * 100)
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tc.CPUTarget = finalCPUPercentTarget
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tc.initialReplicas = startPods
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tc.desiredReplicas = startPods
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tc.runTest(t)
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}
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func TestLegacyScaleUpRCImmediately(t *testing.T) {
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time := metav1.Time{Time: time.Now()}
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tc := legacyTestCase{
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@ -27,7 +27,6 @@ import (
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"k8s.io/apimachinery/pkg/api/meta/testrestmapper"
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"k8s.io/apimachinery/pkg/api/resource"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/labels"
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"k8s.io/apimachinery/pkg/runtime"
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"k8s.io/apimachinery/pkg/runtime/schema"
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"k8s.io/apimachinery/pkg/util/sets"
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@ -92,7 +91,6 @@ type replicaCalcTestCase struct {
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resource *resourceInfo
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metric *metricInfo
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metricLabelSelector labels.Selector
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container string
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podReadiness []v1.ConditionStatus
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