Files
actions-runner-controller/controllers/autoscaling.go
Yusuke Kuoka 5530030c67 Disable metrics-based autoscaling by default when scaleUpTriggers are enabled (#391)
Relates to https://github.com/summerwind/actions-runner-controller/pull/379#discussion_r592813661
Relates to https://github.com/summerwind/actions-runner-controller/issues/377#issuecomment-793266609

When you defined HRA.Spec.ScaleUpTriggers[] but HRA.Spec.Metrics[], the HRA controller will now enable ScaleUpTriggers alone and insteaed of automatically enabling TotalNumberOfQueuedAndInProgressWorkflowRuns. This allows you to use ScaleUpTriggers alone, so that the autoscaling is done without calling GitHub API at all, which should grealy decrease the change of GitHub API calls get rate-limited.
2021-03-14 11:03:00 +09:00

399 lines
12 KiB
Go

package controllers
import (
"context"
"errors"
"fmt"
"math"
"strconv"
"strings"
"time"
"github.com/summerwind/actions-runner-controller/api/v1alpha1"
kerrors "k8s.io/apimachinery/pkg/api/errors"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"sigs.k8s.io/controller-runtime/pkg/client"
)
const (
defaultScaleUpThreshold = 0.8
defaultScaleDownThreshold = 0.3
defaultScaleUpFactor = 1.3
defaultScaleDownFactor = 0.7
)
func getValueAvailableAt(now time.Time, from, to *time.Time, reservedValue int) *int {
if to != nil && now.After(*to) {
return nil
}
if from != nil && now.Before(*from) {
return nil
}
return &reservedValue
}
func (r *HorizontalRunnerAutoscalerReconciler) getDesiredReplicasFromCache(hra v1alpha1.HorizontalRunnerAutoscaler) *int {
var entry *v1alpha1.CacheEntry
for i := range hra.Status.CacheEntries {
ent := hra.Status.CacheEntries[i]
if ent.Key != v1alpha1.CacheEntryKeyDesiredReplicas {
continue
}
if !time.Now().Before(ent.ExpirationTime.Time) {
continue
}
entry = &ent
break
}
if entry != nil {
v := getValueAvailableAt(time.Now(), nil, &entry.ExpirationTime.Time, entry.Value)
if v != nil {
return v
}
}
return nil
}
func (r *HorizontalRunnerAutoscalerReconciler) determineDesiredReplicas(rd v1alpha1.RunnerDeployment, hra v1alpha1.HorizontalRunnerAutoscaler) (*int, error) {
if hra.Spec.MinReplicas == nil {
return nil, fmt.Errorf("horizontalrunnerautoscaler %s/%s is missing minReplicas", hra.Namespace, hra.Name)
} else if hra.Spec.MaxReplicas == nil {
return nil, fmt.Errorf("horizontalrunnerautoscaler %s/%s is missing maxReplicas", hra.Namespace, hra.Name)
}
metrics := hra.Spec.Metrics
if len(metrics) == 0 {
if len(hra.Spec.ScaleUpTriggers) == 0 {
return r.calculateReplicasByQueuedAndInProgressWorkflowRuns(rd, hra)
}
return hra.Spec.MinReplicas, nil
} else if metrics[0].Type == v1alpha1.AutoscalingMetricTypeTotalNumberOfQueuedAndInProgressWorkflowRuns {
return r.calculateReplicasByQueuedAndInProgressWorkflowRuns(rd, hra)
} else if metrics[0].Type == v1alpha1.AutoscalingMetricTypePercentageRunnersBusy {
return r.calculateReplicasByPercentageRunnersBusy(rd, hra)
} else {
return nil, fmt.Errorf("validting autoscaling metrics: unsupported metric type %q", metrics[0].Type)
}
}
func (r *HorizontalRunnerAutoscalerReconciler) calculateReplicasByQueuedAndInProgressWorkflowRuns(rd v1alpha1.RunnerDeployment, hra v1alpha1.HorizontalRunnerAutoscaler) (*int, error) {
var repos [][]string
metrics := hra.Spec.Metrics
repoID := rd.Spec.Template.Spec.Repository
if repoID == "" {
orgName := rd.Spec.Template.Spec.Organization
if orgName == "" {
return nil, fmt.Errorf("asserting runner deployment spec to detect bug: spec.template.organization should not be empty on this code path")
}
// In case it's an organizational runners deployment without any scaling metrics defined,
// we assume that the desired replicas should always be `minReplicas + capacityReservedThroughWebhook`.
// See https://github.com/summerwind/actions-runner-controller/issues/377#issuecomment-793372693
if len(metrics) == 0 {
return hra.Spec.MinReplicas, nil
}
if len(metrics[0].RepositoryNames) == 0 {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].repositoryNames is required and must have one more more entries for organizational runner deployment")
}
for _, repoName := range metrics[0].RepositoryNames {
repos = append(repos, []string{orgName, repoName})
}
} else {
repo := strings.Split(repoID, "/")
repos = append(repos, repo)
}
var total, inProgress, queued, completed, unknown int
type callback func()
listWorkflowJobs := func(user string, repoName string, runID int64, fallback_cb callback) {
if runID == 0 {
fallback_cb()
return
}
jobs, _, err := r.GitHubClient.Actions.ListWorkflowJobs(context.TODO(), user, repoName, runID, nil)
if err != nil {
r.Log.Error(err, "Error listing workflow jobs")
fallback_cb()
} else if len(jobs.Jobs) == 0 {
fallback_cb()
} else {
for _, job := range jobs.Jobs {
switch job.GetStatus() {
case "completed":
// We add a case for `completed` so it is not counted in `unknown`.
// And we do not increment the counter for completed because
// that counter only refers to workflows. The reason for
// this is because we do not get a list of jobs for
// completed workflows in order to keep the number of API
// calls to a minimum.
case "in_progress":
inProgress++
case "queued":
queued++
default:
unknown++
}
}
}
}
for _, repo := range repos {
user, repoName := repo[0], repo[1]
workflowRuns, err := r.GitHubClient.ListRepositoryWorkflowRuns(context.TODO(), user, repoName)
if err != nil {
return nil, err
}
for _, run := range workflowRuns {
total++
// In May 2020, there are only 3 statuses.
// Follow the below links for more details:
// - https://developer.github.com/v3/actions/workflow-runs/#list-repository-workflow-runs
// - https://developer.github.com/v3/checks/runs/#create-a-check-run
switch run.GetStatus() {
case "completed":
completed++
case "in_progress":
listWorkflowJobs(user, repoName, run.GetID(), func() { inProgress++ })
case "queued":
listWorkflowJobs(user, repoName, run.GetID(), func() { queued++ })
default:
unknown++
}
}
}
minReplicas := *hra.Spec.MinReplicas
maxReplicas := *hra.Spec.MaxReplicas
necessaryReplicas := queued + inProgress
var desiredReplicas int
if necessaryReplicas < minReplicas {
desiredReplicas = minReplicas
} else if necessaryReplicas > maxReplicas {
desiredReplicas = maxReplicas
} else {
desiredReplicas = necessaryReplicas
}
rd.Status.Replicas = &desiredReplicas
replicas := desiredReplicas
r.Log.V(1).Info(
"Calculated desired replicas",
"computed_replicas_desired", desiredReplicas,
"spec_replicas_min", minReplicas,
"spec_replicas_max", maxReplicas,
"workflow_runs_completed", completed,
"workflow_runs_in_progress", inProgress,
"workflow_runs_queued", queued,
"workflow_runs_unknown", unknown,
"namespace", hra.Namespace,
"runner_deployment", rd.Name,
"horizontal_runner_autoscaler", hra.Name,
)
return &replicas, nil
}
func (r *HorizontalRunnerAutoscalerReconciler) calculateReplicasByPercentageRunnersBusy(rd v1alpha1.RunnerDeployment, hra v1alpha1.HorizontalRunnerAutoscaler) (*int, error) {
ctx := context.Background()
minReplicas := *hra.Spec.MinReplicas
maxReplicas := *hra.Spec.MaxReplicas
metrics := hra.Spec.Metrics[0]
scaleUpThreshold := defaultScaleUpThreshold
scaleDownThreshold := defaultScaleDownThreshold
scaleUpFactor := defaultScaleUpFactor
scaleDownFactor := defaultScaleDownFactor
if metrics.ScaleUpThreshold != "" {
sut, err := strconv.ParseFloat(metrics.ScaleUpThreshold, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleUpThreshold cannot be parsed into a float64")
}
scaleUpThreshold = sut
}
if metrics.ScaleDownThreshold != "" {
sdt, err := strconv.ParseFloat(metrics.ScaleDownThreshold, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleDownThreshold cannot be parsed into a float64")
}
scaleDownThreshold = sdt
}
scaleUpAdjustment := metrics.ScaleUpAdjustment
if scaleUpAdjustment != 0 {
if metrics.ScaleUpAdjustment < 0 {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleUpAdjustment cannot be lower than 0")
}
if metrics.ScaleUpFactor != "" {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[]: scaleUpAdjustment and scaleUpFactor cannot be specified together")
}
} else if metrics.ScaleUpFactor != "" {
suf, err := strconv.ParseFloat(metrics.ScaleUpFactor, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleUpFactor cannot be parsed into a float64")
}
scaleUpFactor = suf
}
scaleDownAdjustment := metrics.ScaleDownAdjustment
if scaleDownAdjustment != 0 {
if metrics.ScaleDownAdjustment < 0 {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleDownAdjustment cannot be lower than 0")
}
if metrics.ScaleDownFactor != "" {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[]: scaleDownAdjustment and scaleDownFactor cannot be specified together")
}
} else if metrics.ScaleDownFactor != "" {
sdf, err := strconv.ParseFloat(metrics.ScaleDownFactor, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleDownFactor cannot be parsed into a float64")
}
scaleDownFactor = sdf
}
// return the list of runners in namespace. Horizontal Runner Autoscaler should only be responsible for scaling resources in its own ns.
var runnerList v1alpha1.RunnerList
var opts []client.ListOption
opts = append(opts, client.InNamespace(rd.Namespace))
selector, err := metav1.LabelSelectorAsSelector(getSelector(&rd))
if err != nil {
return nil, err
}
opts = append(opts, client.MatchingLabelsSelector{Selector: selector})
r.Log.V(2).Info("Finding runners with selector", "ns", rd.Namespace)
if err := r.List(
ctx,
&runnerList,
opts...,
); err != nil {
if !kerrors.IsNotFound(err) {
return nil, err
}
}
runnerMap := make(map[string]struct{})
for _, items := range runnerList.Items {
runnerMap[items.Name] = struct{}{}
}
var (
enterprise = rd.Spec.Template.Spec.Enterprise
organization = rd.Spec.Template.Spec.Organization
repository = rd.Spec.Template.Spec.Repository
)
// ListRunners will return all runners managed by GitHub - not restricted to ns
runners, err := r.GitHubClient.ListRunners(
ctx,
enterprise,
organization,
repository)
if err != nil {
return nil, err
}
var desiredReplicasBefore int
if v := rd.Spec.Replicas; v == nil {
desiredReplicasBefore = 1
} else {
desiredReplicasBefore = *v
}
var (
numRunners int
numRunnersRegistered int
numRunnersBusy int
)
numRunners = len(runnerList.Items)
for _, runner := range runners {
if _, ok := runnerMap[*runner.Name]; ok {
numRunnersRegistered++
if runner.GetBusy() {
numRunnersBusy++
}
}
}
var desiredReplicas int
fractionBusy := float64(numRunnersBusy) / float64(desiredReplicasBefore)
if fractionBusy >= scaleUpThreshold {
if scaleUpAdjustment > 0 {
desiredReplicas = desiredReplicasBefore + scaleUpAdjustment
} else {
desiredReplicas = int(math.Ceil(float64(desiredReplicasBefore) * scaleUpFactor))
}
} else if fractionBusy < scaleDownThreshold {
if scaleDownAdjustment > 0 {
desiredReplicas = desiredReplicasBefore - scaleDownAdjustment
} else {
desiredReplicas = int(float64(desiredReplicasBefore) * scaleDownFactor)
}
} else {
desiredReplicas = *rd.Spec.Replicas
}
if desiredReplicas < minReplicas {
desiredReplicas = minReplicas
} else if desiredReplicas > maxReplicas {
desiredReplicas = maxReplicas
}
// NOTES for operators:
//
// - num_runners can be as twice as large as replicas_desired_before while
// the runnerdeployment controller is replacing RunnerReplicaSet for runner update.
r.Log.V(1).Info(
"Calculated desired replicas",
"replicas_min", minReplicas,
"replicas_max", maxReplicas,
"replicas_desired_before", desiredReplicasBefore,
"replicas_desired", desiredReplicas,
"num_runners", numRunners,
"num_runners_registered", numRunnersRegistered,
"num_runners_busy", numRunnersBusy,
"namespace", hra.Namespace,
"runner_deployment", rd.Name,
"horizontal_runner_autoscaler", hra.Name,
"enterprise", enterprise,
"organization", organization,
"repository", repository,
)
rd.Status.Replicas = &desiredReplicas
replicas := desiredReplicas
return &replicas, nil
}