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测试的时候,通常需要将 Pod 中的 container 频繁地杀死,重启。在这个过程中,Pod 的状态经常会出现 CrashLoopBackOff,而且 container 重启的时间越来越长。
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Failed containers that are restarted by Kubelet, are restarted with an exponential back-off delay, the delay is in multiples of sync-frequency 0, 1x, 2x, 4x, 8x … capped at 5 minutes and is reset after 10 minutes of successful execution.
这里先直接给出结论:
kubernetes/pkg/kubelet/kubelet.go
通过源码发现,kubernetes/pkg/kubelet/kubelet.go 文件中有两个常量:
MaxContainerBackOff = 300 * time.Second
backOffPeriod = time.Second * 10
使用这两个变量构造了一个 BackOff 对象,这个是 kubelet 的属性,对该 node 上所有 pod 都适用
klet.backOff = flowcontrol.NewBackOff(backOffPeriod, MaxContainerBackOff)
BackOff 结构如下
type Backoff struct {
sync.Mutex
Clock clock.Clock
defaultDuration time.Duration
maxDuration time.Duration
perItemBackoff map[string]*backoffEntry
}
然后在 SyncPod 方法中使用这个对象
// Call the container runtime's SyncPod callback
result := kl.containerRuntime.SyncPod(pod, apiPodStatus, podStatus, pullSecrets, kl.backOff)
SyncPod 具体做的事有:
// SyncPod syncs the running pod into the desired pod by executing following steps:
//
// 1. Compute sandbox and container changes.
// 2. Kill pod sandbox if necessary.
// 3. Kill any containers that should not be running.
// 4. Create sandbox if necessary.
// 5. Create init containers.
// 6. Create normal containers.
func (m *kubeGenericRuntimeManager) SyncPod(pod *v1.Pod, _ v1.PodStatus, podStatus *kubecontainer.PodStatus, pullSecrets []v1.Secret, backOff *flowcontrol.Backoff) (result kubecontainer.PodSyncResult) {
同样在这个文件中,有一个关键的函数
// If a container is still in backoff, the function will return a brief backoff error and
// a detailed error message.
func (m *kubeGenericRuntimeManager) doBackOff(pod *v1.Pod, container *v1.Container, podStatus *kubecontainer.PodStatus, backOff *flowcontrol.Backoff) (bool, string, error) {
var cStatus *kubecontainer.ContainerStatus
for _, c := range podStatus.ContainerStatuses {
if c.Name == container.Name && c.State == kubecontainer.ContainerStateExited {
cStatus = c
break
}
}
if cStatus == nil {
return false, "", nil
}
glog.Infof("checking backoff for container %q in pod %q", container.Name, format.Pod(pod))
// Use the finished time of the latest exited container as the start point to calculate whether to do back-off.
ts := cStatus.FinishedAt
// backOff requires a unique key to identify the container.
key := getStableKey(pod, container)
if backOff.IsInBackOffSince(key, ts) {
if ref, err := kubecontainer.GenerateContainerRef(pod, container); err == nil {
m.recorder.Eventf(ref, v1.EventTypeWarning, events.BackOffStartContainer, "Back-off restarting failed container")
}
err := fmt.Errorf("Back-off %s restarting failed container=%s pod=%s", backOff.Get(key), container.Name, format.Pod(pod))
glog.Infof("%s", err.Error())
return true, err.Error(), kubecontainer.ErrCrashLoopBackOff
}
backOff.Next(key, ts)
return false, "", nil
}
其中 backOff.Next 函数定义如下
// move backoff to the next mark, capping at maxDuration
func (p *Backoff) Next(id string, eventTime time.Time) {
p.Lock()
defer p.Unlock()
entry, ok := p.perItemBackoff[id]
if !ok || hasExpired(eventTime, entry.lastUpdate, p.maxDuration) {
entry = p.initEntryUnsafe(id)
} else {
delay := entry.backoff * 2 // exponential
entry.backoff = time.Duration(integer.Int64Min(int64(delay), int64(p.maxDuration)))
}
entry.lastUpdate = p.Clock.Now()
}