Files
actions-runner-controller/controllers/autoscaling.go
Johannes Nicolai 94e8c6ffbf minReplicas <= desiredReplicas <= maxReplicas (#267)
* ensure that minReplicas <= desiredReplicas <= maxReplicas no matter what
* before this change, if the number of runners was much larger than the max number, the applied scale down factor might still result in a desired value > maxReplicas
* if for resource constraints in the cluster, runners would be permanently restarted, the number of runners could go up more than the reverse scale down factor until the next reconciliation round, resulting in a situation where the number of runners climbs up even though it should actually go down
* by checking whether the desiredReplicas is always <= maxReplicas, infinite scaling up loops can be prevented
2021-01-22 10:11:21 +09:00

251 lines
8.0 KiB
Go

package controllers
import (
"context"
"errors"
"fmt"
"math"
"strconv"
"strings"
"github.com/summerwind/actions-runner-controller/api/v1alpha1"
"sigs.k8s.io/controller-runtime/pkg/client"
)
const (
defaultScaleUpThreshold = 0.8
defaultScaleDownThreshold = 0.3
defaultScaleUpFactor = 1.3
defaultScaleDownFactor = 0.7
)
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 || 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")
}
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]
list, _, err := r.GitHubClient.Actions.ListRepositoryWorkflowRuns(context.TODO(), user, repoName, nil)
if err != nil {
return nil, err
}
for _, run := range list.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,
)
return &replicas, nil
}
func (r *HorizontalRunnerAutoscalerReconciler) calculateReplicasByPercentageRunnersBusy(rd v1alpha1.RunnerDeployment, hra v1alpha1.HorizontalRunnerAutoscaler) (*int, error) {
ctx := context.Background()
orgName := rd.Spec.Template.Spec.Organization
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
}
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
}
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
if err := r.List(ctx, &runnerList, client.InNamespace(rd.Namespace)); err != nil {
return nil, err
}
runnerMap := make(map[string]struct{})
for _, items := range runnerList.Items {
runnerMap[items.Name] = struct{}{}
}
// ListRunners will return all runners managed by GitHub - not restricted to ns
runners, err := r.GitHubClient.ListRunners(ctx, orgName, "")
if err != nil {
return nil, err
}
numRunners := len(runnerList.Items)
numRunnersBusy := 0
for _, runner := range runners {
if _, ok := runnerMap[*runner.Name]; ok && runner.GetBusy() {
numRunnersBusy++
}
}
var desiredReplicas int
fractionBusy := float64(numRunnersBusy) / float64(numRunners)
if fractionBusy >= scaleUpThreshold {
desiredReplicas = int(math.Ceil(float64(numRunners) * scaleUpFactor))
} else if fractionBusy < scaleDownThreshold {
desiredReplicas = int(float64(numRunners) * scaleDownFactor)
} else {
desiredReplicas = *rd.Spec.Replicas
}
if desiredReplicas < minReplicas {
desiredReplicas = minReplicas
} else if desiredReplicas > maxReplicas {
desiredReplicas = maxReplicas
}
r.Log.V(1).Info(
"Calculated desired replicas",
"computed_replicas_desired", desiredReplicas,
"spec_replicas_min", minReplicas,
"spec_replicas_max", maxReplicas,
"current_replicas", rd.Spec.Replicas,
"num_runners", numRunners,
"num_runners_busy", numRunnersBusy,
)
rd.Status.Replicas = &desiredReplicas
replicas := desiredReplicas
return &replicas, nil
}