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  • 12.深入k8s:kubelet创建pod流程源码分析

    77225439_p0

    转载请声明出处哦~,本篇文章发布于luozhiyun的博客:https://www.luozhiyun.com

    源码版本是1.19

    在上一篇中,我们知道在kubelet中,工作核心就是围绕着整个syncLoop来完成不同的工作的。syncLoop会根据不同的上报信息管理pod的生命周期,这些操作都是通过HandlePods来实现的。

    img

    整个事件循环的代码在Kubelet调用run方法最后会通过调用kl.syncLoop方法启动事件循环。

    kubelet创建pod流程

    syncLoop循环监听管道信息

    文件位置:pkg/kubelet/kubelet.go

    func (kl *Kubelet) syncLoop(updates <-chan kubetypes.PodUpdate, handler SyncHandler) {
    	...
        syncTicker := time.NewTicker(time.Second)
    	defer syncTicker.Stop()
    	housekeepingTicker := time.NewTicker(housekeepingPeriod)
    	defer housekeepingTicker.Stop()
    	plegCh := kl.pleg.Watch()
    	for {
    		...
    		kl.syncLoopMonitor.Store(kl.clock.Now())
    		if !kl.syncLoopIteration(updates, handler, syncTicker.C, housekeepingTicker.C, plegCh) {
    			break
    		}
    		kl.syncLoopMonitor.Store(kl.clock.Now())
    	}
    }
    

    syncLoop的主要逻辑是在syncLoopIteration中实现,由于本文主要探讨的是pod创建相关代码,所以我们只需要看处理configCh管道部分的代码就好了。

    syncLoopIteration处理事件循环中的逻辑

    func (kl *Kubelet) syncLoopIteration(configCh <-chan kubetypes.PodUpdate, handler SyncHandler,
    	//方法会监听多个 channel,当发现任何一个 channel 有数据就交给 handler 去处理,在 handler 中通过调用 dispatchWork 分发任务
    	syncCh <-chan time.Time, housekeepingCh <-chan time.Time, plegCh <-chan *pleg.PodLifecycleEvent) bool {
    	select {
    		//该模块将同时 watch 3 个不同来源的 pod 信息的变化(file,http,apiserver),
    		//一旦某个来源的 pod 信息发生了更新(创建/更新/删除),这个 channel 中就会出现被更新的 pod 信息和更新的具体操作;
    	case u, open := <-configCh: 
    		if !open {
    			klog.Errorf("Update channel is closed. Exiting the sync loop.")
    			return false
    		}
    
    		switch u.Op {
    		case kubetypes.ADD:
    			klog.V(2).Infof("SyncLoop (ADD, %q): %q", u.Source, format.Pods(u.Pods)) 
    			handler.HandlePodAdditions(u.Pods)
    		case kubetypes.UPDATE:
    			klog.V(2).Infof("SyncLoop (UPDATE, %q): %q", u.Source, format.PodsWithDeletionTimestamps(u.Pods))
    			handler.HandlePodUpdates(u.Pods)
    		case kubetypes.REMOVE:
    			klog.V(2).Infof("SyncLoop (REMOVE, %q): %q", u.Source, format.Pods(u.Pods))
    			handler.HandlePodRemoves(u.Pods)
    		case kubetypes.RECONCILE:
    			klog.V(4).Infof("SyncLoop (RECONCILE, %q): %q", u.Source, format.Pods(u.Pods))
    			handler.HandlePodReconcile(u.Pods)
    		case kubetypes.DELETE:
    			klog.V(2).Infof("SyncLoop (DELETE, %q): %q", u.Source, format.Pods(u.Pods)) 
    			handler.HandlePodUpdates(u.Pods)
    		case kubetypes.SET: 
    			klog.Errorf("Kubelet does not support snapshot update")
    		default:
    			klog.Errorf("Invalid event type received: %d.", u.Op)
    		}
    
    		kl.sourcesReady.AddSource(u.Source)
    
    	 ...
    }
    

    该模块将同时 watch 3 个不同来源的 pod 信息的变化(file,http,apiserver),一旦某个来源的 pod 信息发生了更新(创建/更新/删除),这个 channel 中就会出现被更新的 pod 信息和更新的具体操作。

    HandlePodAdditions执行创建pod

    func (kl *Kubelet) HandlePodAdditions(pods []*v1.Pod) {
    	start := kl.clock.Now()
    	sort.Sort(sliceutils.PodsByCreationTime(pods))
    	for _, pod := range pods {
    		existingPods := kl.podManager.GetPods() 
    		//将pod添加到pod管理器中,如果有pod不存在在pod管理器中,那么这个pod表示已经被删除了
    		kl.podManager.AddPod(pod)
    		
    		if kubetypes.IsMirrorPod(pod) {
    			kl.handleMirrorPod(pod, start)
    			continue
    		}
    		//如果该pod没有被Terminate
    		if !kl.podIsTerminated(pod) { 
    			// 获取目前还在active状态的pod
    			activePods := kl.filterOutTerminatedPods(existingPods)
     
    			//验证 pod 是否能在该节点运行,如果不可以直接拒绝
    			if ok, reason, message := kl.canAdmitPod(activePods, pod); !ok {
    				kl.rejectPod(pod, reason, message)
    				continue
    			}
    		}
    		mirrorPod, _ := kl.podManager.GetMirrorPodByPod(pod)
    		//把 pod 分配给给 worker 做异步处理,创建pod
    		kl.dispatchWork(pod, kubetypes.SyncPodCreate, mirrorPod, start)
    		//在 probeManager 中添加 pod,如果 pod 中定义了 readiness 和 liveness 健康检查,启动 goroutine 定期进行检测
    		kl.probeManager.AddPod(pod)
    	}
    }
    

    HandlePodAdditions主要任务是:

    1. 按照创建时间给pods进行排序;
    2. 将pod添加到pod管理器中,如果有pod不存在在pod管理器中,那么这个pod表示已经被删除了;
    3. 校验pod 是否能在该节点运行,如果不可以直接拒绝;
    4. 调用dispatchWork把 pod 分配给给 worker 做异步处理,创建pod;
    5. 将pod添加到probeManager中,如果 pod 中定义了 readiness 和 liveness 健康检查,启动 goroutine 定期进行检测;

    dispatchWork

    func (kl *Kubelet) dispatchWork(pod *v1.Pod, syncType kubetypes.SyncPodType, mirrorPod *v1.Pod, start time.Time) {
    	...
    	kl.podWorkers.UpdatePod(&UpdatePodOptions{
    		Pod:        pod,
    		MirrorPod:  mirrorPod,
    		UpdateType: syncType,
    		OnCompleteFunc: func(err error) {
    			if err != nil {
    				metrics.PodWorkerDuration.WithLabelValues(syncType.String()).Observe(metrics.SinceInSeconds(start))
    			}
    		},
    	})
    	...
    }
    

    dispatchWork会封装一个UpdatePodOptions结构体丢给podWorkers.UpdatePod去执行。

    UpdatePod

    文件位置:pkg/kubelet/pod_workers.go

    func (p *podWorkers) UpdatePod(options *UpdatePodOptions) {
    	pod := options.Pod
    	uid := pod.UID
    	var podUpdates chan UpdatePodOptions
    	var exists bool
    
    	p.podLock.Lock()
    	defer p.podLock.Unlock()
    	//如果该pod在podUpdates数组里面找不到,那么就创建channel,并启动异步线程
    	if podUpdates, exists = p.podUpdates[uid]; !exists { 
    		podUpdates = make(chan UpdatePodOptions, 1)
    		p.podUpdates[uid] = podUpdates
     
    		go func() {
    			defer runtime.HandleCrash()
    			p.managePodLoop(podUpdates)
    		}()
    	}
    	// 下发更新事件
    	if !p.isWorking[pod.UID] {
    		p.isWorking[pod.UID] = true
    		podUpdates <- *options
    	} else { 
    		update, found := p.lastUndeliveredWorkUpdate[pod.UID]
    		if !found || update.UpdateType != kubetypes.SyncPodKill {
    			p.lastUndeliveredWorkUpdate[pod.UID] = *options
    		}
    	}
    }
    

    这个方法会加锁之后获取podUpdates数组里面数据,如果不存在那么会创建一个channel然后执行一个异步协程。

    managePodLoop

    func (p *podWorkers) managePodLoop(podUpdates <-chan UpdatePodOptions) {
    	var lastSyncTime time.Time
    	//遍历channel
    	for update := range podUpdates {
    		err := func() error {
    			podUID := update.Pod.UID 
    			// 直到cache里面有新数据之前这段代码会阻塞,这保证worker在cache里面有新的数据之前不会提前开始。
    			status, err := p.podCache.GetNewerThan(podUID, lastSyncTime)
    			if err != nil { 
    				p.recorder.Eventf(update.Pod, v1.EventTypeWarning, events.FailedSync, "error determining status: %v", err)
    				return err
    			}
    			//syncPodFn会在kubelet初始化的时候设置,调用的是kubelet的syncPod方法
    			err = p.syncPodFn(syncPodOptions{
    				mirrorPod:      update.MirrorPod,
    				pod:            update.Pod,
    				podStatus:      status,
    				killPodOptions: update.KillPodOptions,
    				updateType:     update.UpdateType,
    			})
    			lastSyncTime = time.Now()
    			return err
    		}() 
    		if update.OnCompleteFunc != nil {
    			update.OnCompleteFunc(err)
    		}
    		if err != nil { 
    			klog.Errorf("Error syncing pod %s (%q), skipping: %v", update.Pod.UID, format.Pod(update.Pod), err)
    		}
    		p.wrapUp(update.Pod.UID, err)
    	}
    }
    

    这个方法会遍历channel里面的数据,然后调用syncPodFn方法并传入一个syncPodOptions,kubelet会在执行NewMainKubelet方法的时候调用newPodWorkers方法设置syncPodFn为Kubelet的syncPod方法。

    如下:

    func NewMainKubelet(...){
    ...
    	klet := &Kubelet{...}
    ...
    	klet.podWorkers = newPodWorkers(klet.syncPod, kubeDeps.Recorder, klet.workQueue, klet.resyncInterval, backOffPeriod, klet.podCache)
    ...
    }
    

    syncPod

    文件位置:pkg/kubelet/kubelet.go

    func (kl *Kubelet) syncPod(o syncPodOptions) error {
    	// pull out the required options
    	pod := o.pod
    	mirrorPod := o.mirrorPod
    	podStatus := o.podStatus
    	updateType := o.updateType 
    
    	...
    
    	apiPodStatus := kl.generateAPIPodStatus(pod, podStatus)
    	
    	// 校验该pod能否运行
    	runnable := kl.canRunPod(pod)
    	//如果不能运行,那么回写container的等待原因
    	if !runnable.Admit {
    		// Pod is not runnable; update the Pod and Container statuses to why.
    		apiPodStatus.Reason = runnable.Reason
    		apiPodStatus.Message = runnable.Message
    		// Waiting containers are not creating.
    		const waitingReason = "Blocked"
    		for _, cs := range apiPodStatus.InitContainerStatuses {
    			if cs.State.Waiting != nil {
    				cs.State.Waiting.Reason = waitingReason
    			}
    		}
    		for _, cs := range apiPodStatus.ContainerStatuses {
    			if cs.State.Waiting != nil {
    				cs.State.Waiting.Reason = waitingReason
    			}
    		}
    	}
    
    	// 更新状态管理器中的状态
    	kl.statusManager.SetPodStatus(pod, apiPodStatus)
     
    	// 如果校验没通过或pod已被删除或pod跑失败了,那么kill掉pod
    	if !runnable.Admit || pod.DeletionTimestamp != nil || apiPodStatus.Phase == v1.PodFailed {
    		var syncErr error
            ...
    		kl.killPod(pod, nil, podStatus, nil)
            ....
    		return syncErr
    	}
     
    	//校验网络插件是否已准备好
    	if err := kl.runtimeState.networkErrors(); err != nil && !kubecontainer.IsHostNetworkPod(pod) {
    		kl.recorder.Eventf(pod, v1.EventTypeWarning, events.NetworkNotReady, "%s: %v", NetworkNotReadyErrorMsg, err)
    		return fmt.Errorf("%s: %v", NetworkNotReadyErrorMsg, err)
    	}
    
    	// 创建
    	pcm := kl.containerManager.NewPodContainerManager()
    
    	// 校验该pod是否已被Terminate
    	if !kl.podIsTerminated(pod) { 
    		firstSync := true
    		// 校验该pod是否首次创建
    		for _, containerStatus := range apiPodStatus.ContainerStatuses {
    			if containerStatus.State.Running != nil {
    				firstSync = false
    				break
    			}
    		} 
    		podKilled := false
    		// 如果该pod 的cgroups不存在,并且不是首次启动,那么kill掉
    		if !pcm.Exists(pod) && !firstSync {
    			if err := kl.killPod(pod, nil, podStatus, nil); err == nil {
    				podKilled = true
    			}
    		} 
    		// 如果该pod在上面没有被kill掉,或重启策略不是永不重启
    		if !(podKilled && pod.Spec.RestartPolicy == v1.RestartPolicyNever) {
    			// 如果该pod的cgroups不存在,那么就创建cgroups
    			if !pcm.Exists(pod) {
    				if err := kl.containerManager.UpdateQOSCgroups(); err != nil {
    					klog.V(2).Infof("Failed to update QoS cgroups while syncing pod: %v", err)
    				}
    				if err := pcm.EnsureExists(pod); err != nil {
    					kl.recorder.Eventf(pod, v1.EventTypeWarning, events.FailedToCreatePodContainer, "unable to ensure pod container exists: %v", err)
    					return fmt.Errorf("failed to ensure that the pod: %v cgroups exist and are correctly applied: %v", pod.UID, err)
    				}
    			}
    		}
    	} 
    
    	//为静态pod 创建 镜像
    	if kubetypes.IsStaticPod(pod) {
    		...
    	}
     
    	// 创建pod的文件目录
    	if err := kl.makePodDataDirs(pod); err != nil {
    		kl.recorder.Eventf(pod, v1.EventTypeWarning, events.FailedToMakePodDataDirectories, "error making pod data directories: %v", err)
    		klog.Errorf("Unable to make pod data directories for pod %q: %v", format.Pod(pod), err)
    		return err
    	}
     
    	// 如果该pod没有被终止,那么需要等待attach/mount volumes
    	if !kl.podIsTerminated(pod) {
    		// Wait for volumes to attach/mount
    		if err := kl.volumeManager.WaitForAttachAndMount(pod); err != nil {
    			kl.recorder.Eventf(pod, v1.EventTypeWarning, events.FailedMountVolume, "Unable to attach or mount volumes: %v", err)
    			klog.Errorf("Unable to attach or mount volumes for pod %q: %v; skipping pod", format.Pod(pod), err)
    			return err
    		}
    	}
     
    	// 如果有 image secrets,去 apiserver 获取对应的 secrets 数据
    	pullSecrets := kl.getPullSecretsForPod(pod)
        // 真正的容器创建逻辑
    	result := kl.containerRuntime.SyncPod(pod, podStatus, pullSecrets, kl.backOff)
    	kl.reasonCache.Update(pod.UID, result)
    	if err := result.Error(); err != nil { 
    		for _, r := range result.SyncResults {
    			if r.Error != kubecontainer.ErrCrashLoopBackOff && r.Error != images.ErrImagePullBackOff { 
    				return err
    			}
    		}
    
    		return nil
    	}
    
    	return nil
    }
    

    该方法主要是为创建pod前做一些准备工作。主要准备工作如下:

    1. 校验该pod能否运行,如果不能运行,那么回写container的等待原因,然后更新状态管理器中的状态;
    2. 如果校验没通过或pod已被删除或pod跑失败了,那么kill掉pod,然后返回;
    3. 校验网络插件是否已准备好,如果没有,直接返回;
    4. 如果该pod的cgroups不存在,那么就创建cgroups;
    5. 为静态pod创建镜像;
    6. 创建pod的文件目录,等待volumes attach/mount;
    7. 拉取这个pod的Secret;
    8. 调用containerRuntime.SyncPod真正创建pod;

    syncPod

    文件位置:pkg/kubelet/kuberuntime/kuberuntime_manager.go

    func (m *kubeGenericRuntimeManager) SyncPod(pod *v1.Pod, podStatus *kubecontainer.PodStatus, pullSecrets []v1.Secret, backOff *flowcontrol.Backoff) (result kubecontainer.PodSyncResult) {
    	// 计算一下有哪些pod中container有没有变化,有哪些container需要创建,有哪些container需要kill掉
    	podContainerChanges := m.computePodActions(pod, podStatus)
    	...
     
    	// kill掉 sandbox 已经改变的 pod
    	if podContainerChanges.KillPod {
    		...
    		//kill容器操作
    		killResult := m.killPodWithSyncResult(pod, kubecontainer.ConvertPodStatusToRunningPod(m.runtimeName, podStatus), nil)
    		result.AddPodSyncResult(killResult)
    		...
    	} else { 
    		// kill掉ContainersToKill列表中的container
    		for containerID, containerInfo := range podContainerChanges.ContainersToKill {
    			... 
    			if err := m.killContainer(pod, containerID, containerInfo.name, containerInfo.message, nil); err != nil {
    				killContainerResult.Fail(kubecontainer.ErrKillContainer, err.Error())
    				klog.Errorf("killContainer %q(id=%q) for pod %q failed: %v", containerInfo.name, containerID, format.Pod(pod), err)
    				return
    			}
    		}
    	}
     
    	//清理同名的 Init Container
    	m.pruneInitContainersBeforeStart(pod, podStatus)
     
    	var podIPs []string
    	if podStatus != nil {
    		podIPs = podStatus.IPs
    	} 
    	podSandboxID := podContainerChanges.SandboxID 
    	if podContainerChanges.CreateSandbox {
    		var msg string
    		var err error
    		...
    		//为pod创建sandbox 
    		podSandboxID, msg, err = m.createPodSandbox(pod, podContainerChanges.Attempt)
    		if err != nil {
    			...
    			return
    		} 
    		... 
    	}
     
    	podIP := ""
    	if len(podIPs) != 0 {
    		podIP = podIPs[0]
    	}
    	...
    	//生成Sandbox的config配置,如pod的DNS、hostName、端口映射
    	podSandboxConfig, err := m.generatePodSandboxConfig(pod, podContainerChanges.Attempt)
    	if err != nil {
    		...
    		return
    	}
     
    	start := func(typeName string, spec *startSpec) error {
    		...
    		// 启动容器
    		if msg, err := m.startContainer(podSandboxID, podSandboxConfig, spec, pod, podStatus, pullSecrets, podIP, podIPs); err != nil {
    			...
    		} 
    		return nil
    	}
    
    	// 临时容器相关
    	if utilfeature.DefaultFeatureGate.Enabled(features.EphemeralContainers) {
    		for _, idx := range podContainerChanges.EphemeralContainersToStart {
    			start("ephemeral container", ephemeralContainerStartSpec(&pod.Spec.EphemeralContainers[idx]))
    		}
    	}
     
    	// 启动init container
    	if container := podContainerChanges.NextInitContainerToStart; container != nil { 
    		if err := start("init container", containerStartSpec(container)); err != nil {
    			return
    		}
     
    		klog.V(4).Infof("Completed init container %q for pod %q", container.Name, format.Pod(pod))
    	} 
    	// 启动containers列表
    	for _, idx := range podContainerChanges.ContainersToStart {
    		start("container", containerStartSpec(&pod.Spec.Containers[idx]))
    	}
    
    	return
    }
    
    1. 首先会调用computePodActions计算一下有哪些pod中container有没有变化,有哪些container需要创建,有哪些container需要kill掉;
    2. kill掉 sandbox 已经改变的 pod;
    3. 如果有container已改变,那么需要调用killContainer方法kill掉ContainersToKill列表中的container;
    4. 调用pruneInitContainersBeforeStart方法清理同名的 Init Container;
    5. 调用createPodSandbox方法,创建需要被创建的Sandbox,关于Sandbox我们再下面说到;
    6. 如果开启了临时容器Ephemeral Container,那么需要创建相应的临时容器,临时容器可以看这篇:https://kubernetes.io/docs/concepts/workloads/pods/ephemeral-containers/;
    7. 获取NextInitContainerToStart中的container,调用startContainer启动init container;
    8. 获取ContainersToStart列表中的container,调用startContainer启动containers列表;

    computePodActions

    文件路径:pkg/kubelet/kuberuntime/kuberuntime_manager.go

    func (m *kubeGenericRuntimeManager) computePodActions(pod *v1.Pod, podStatus *kubecontainer.PodStatus) podActions {
    	klog.V(5).Infof("Syncing Pod %q: %+v", format.Pod(pod), pod)
    	//判断哪些pod的Sandbox已经改变,如果改变需要重新创建
    	createPodSandbox, attempt, sandboxID := m.podSandboxChanged(pod, podStatus)
    	changes := podActions{
    		KillPod:           createPodSandbox,
    		CreateSandbox:     createPodSandbox,
    		SandboxID:         sandboxID,
    		Attempt:           attempt,
    		ContainersToStart: []int{},
    		ContainersToKill:  make(map[kubecontainer.ContainerID]containerToKillInfo),
    	}
     
    	//需要新建sandbox
    	if createPodSandbox {
    		if !shouldRestartOnFailure(pod) && attempt != 0 && len(podStatus.ContainerStatuses) != 0 {
    			 
    			// 如果pod已经存在了,那么不应该创建sandbox
    			// 如果所有的containers 都已完成,那么也不应该创建一个新的sandbox
    			// 如果ContainerStatuses是空的,那么我们可以认定,我们从没有成功创建过containers,所以我们应该重试创建sandbox
    			changes.CreateSandbox = false
    			return changes
    		}
    		//如果InitContainers 不为空,那么将InitContainers的第一个设置成第一个创建的container
    		if len(pod.Spec.InitContainers) != 0 { 
    			changes.NextInitContainerToStart = &pod.Spec.InitContainers[0]
    			return changes
    		} 
    		// 将所有container加入到需要启动的队列中,除了已启动,并且重启策略为RestartPolicyOnFailure的pod
    		for idx, c := range pod.Spec.Containers {
    			if containerSucceeded(&c, podStatus) && pod.Spec.RestartPolicy == v1.RestartPolicyOnFailure {
    				continue
    			}
    			changes.ContainersToStart = append(changes.ContainersToStart, idx)
    		}
    		return changes
    	}
     
    	//临时容器相关:https://kubernetes.io/zh/docs/concepts/workloads/pods/ephemeral-containers/
    	if utilfeature.DefaultFeatureGate.Enabled(features.EphemeralContainers) {
    		for i := range pod.Spec.EphemeralContainers {
    			c := (*v1.Container)(&pod.Spec.EphemeralContainers[i].EphemeralContainerCommon)
    
    			// Ephemeral Containers are never restarted
    			if podStatus.FindContainerStatusByName(c.Name) == nil {
    				changes.EphemeralContainersToStart = append(changes.EphemeralContainersToStart, i)
    			}
    		}
    	} 
    	// 检查Init Container运行状态
    	initLastStatus, next, done := findNextInitContainerToRun(pod, podStatus)
    	if !done {
    		if next != nil {
    			initFailed := initLastStatus != nil && isInitContainerFailed(initLastStatus)
    			if initFailed && !shouldRestartOnFailure(pod) {
    				changes.KillPod = true
    			} else {
    				// Always try to stop containers in unknown state first.
    				if initLastStatus != nil && initLastStatus.State == kubecontainer.ContainerStateUnknown {
    					changes.ContainersToKill[initLastStatus.ID] = containerToKillInfo{
    						name:      next.Name,
    						container: next,
    						message: fmt.Sprintf("Init container is in %q state, try killing it before restart",
    							initLastStatus.State),
    					}
    				}
    				changes.NextInitContainerToStart = next
    			}
    		} 
    		// 若init未完成,直接返回
    		return changes
    	}
     
    	// init已完成,计算需要kill&start的工作container
    	keepCount := 0 
    	// 校验containers列表的状态
    	for idx, container := range pod.Spec.Containers {
    		containerStatus := podStatus.FindContainerStatusByName(container.Name)
     
    		//调用post-stop生命周期钩子,这样如果container重启了,那么可以马上分配资源
    		if containerStatus != nil && containerStatus.State != kubecontainer.ContainerStateRunning {
    			if err := m.internalLifecycle.PostStopContainer(containerStatus.ID.ID); err != nil {
    				klog.Errorf("internal container post-stop lifecycle hook failed for container %v in pod %v with error %v",
    					container.Name, pod.Name, err)
    			}
    		}
     
    		// 如果container不存在或没有在运行,那么根据RestartPolicy决定是否需要重启
    		if containerStatus == nil || containerStatus.State != kubecontainer.ContainerStateRunning {
    			if kubecontainer.ShouldContainerBeRestarted(&container, pod, podStatus) {
    				message := fmt.Sprintf("Container %+v is dead, but RestartPolicy says that we should restart it.", container)
    				klog.V(3).Infof(message)
    				changes.ContainersToStart = append(changes.ContainersToStart, idx)
    				// 如果container 状态是unknown,那么我们不知道是否它在启动,所以我们先kill掉,再启动,避免同时有两个一样的container
    				if containerStatus != nil && containerStatus.State == kubecontainer.ContainerStateUnknown { 
    					changes.ContainersToKill[containerStatus.ID] = containerToKillInfo{
    						name:      containerStatus.Name,
    						container: &pod.Spec.Containers[idx],
    						message: fmt.Sprintf("Container is in %q state, try killing it before restart",
    							containerStatus.State),
    					}
    				}
    			}
    			continue
    		} 
    		var message string
    		//到这里,说明container处于running状态,那么当满足下面条件时需要kill掉重启
    		restart := shouldRestartOnFailure(pod)
    		// 如果container的 spec已经改变了,那么直接重启
    		if _, _, changed := containerChanged(&container, containerStatus); changed {
    			message = fmt.Sprintf("Container %s definition changed", container.Name)
    			// Restart regardless of the restart policy because the container
    			// spec changed.
    			restart = true
    		//	如果liveness探针检测失败,那么需要kill掉container,并且不需要重启
    		} else if liveness, found := m.livenessManager.Get(containerStatus.ID); found && liveness == proberesults.Failure {
    			// If the container failed the liveness probe, we should kill it.
    			message = fmt.Sprintf("Container %s failed liveness probe", container.Name)
    		//	如果startup 探针检测失败,那么需要kill掉container,并且不需要重启
    		} else if startup, found := m.startupManager.Get(containerStatus.ID); found && startup == proberesults.Failure {
    			// If the container failed the startup probe, we should kill it.
    			message = fmt.Sprintf("Container %s failed startup probe", container.Name)
    		//	到这里,如果探针检测又没问题,container又没改变,那么不需要重启
    		} else {
    			// Keep the container.
    			keepCount++
    			continue
    		}
     
    		// 如果需要重启,那么加入队列
    		if restart {
    			message = fmt.Sprintf("%s, will be restarted", message)
    			changes.ContainersToStart = append(changes.ContainersToStart, idx)
    		}
    		//这里时设置需要kill掉的container的列表
    		changes.ContainersToKill[containerStatus.ID] = containerToKillInfo{
    			name:      containerStatus.Name,
    			container: &pod.Spec.Containers[idx],
    			message:   message,
    		}
    		klog.V(2).Infof("Container %q (%q) of pod %s: %s", container.Name, containerStatus.ID, format.Pod(pod), message)
    	}
    
    	if keepCount == 0 && len(changes.ContainersToStart) == 0 {
    		changes.KillPod = true
    	}
    
    	return changes
    }
    

    computePodActions方法主要做这么几件事:

    1. 检查PodSandbox有没有改变,如果改变了,那么需要创建PodSandbox;
    2. 找到需要运行的Init Container设置到NextInitContainerToStart字段中;
    3. 找到需要被kill掉的Container列表ContainersToKill;
    4. 找到需要被启动的Container列表ContainersToStart;

    Sandbox

    Sandbox沙箱是一种程序的隔离运行机制,其目的是限制不可信进程的权限。k8s 中每个 pod 共享一个 sandbox定义了其 cgroup 及各种 namespace,所以同一个 pod 的所有容器才能够互通,且与外界隔离。我们在调用createPodSandbox方法创建sandbox的时候分为如下几步:

    image-20200926163420747

    startContainer

    文件位置:pkg/kubelet/kuberuntime/kuberuntime_container.go

    func (m *kubeGenericRuntimeManager) startContainer(podSandboxID string, podSandboxConfig *runtimeapi.PodSandboxConfig, spec *startSpec, pod *v1.Pod, podStatus *kubecontainer.PodStatus, pullSecrets []v1.Secret, podIP string, podIPs []string) (string, error) {
    	container := spec.container
     
    	// 拉取镜像
    	imageRef, msg, err := m.imagePuller.EnsureImageExists(pod, container, pullSecrets, podSandboxConfig)
    	if err != nil {
    		...
    		return msg, err
    	}
     
    	//如果是个新的container,那么restartCount应该为0
    	restartCount := 0
    	containerStatus := podStatus.FindContainerStatusByName(container.Name)
    	if containerStatus != nil {
    		restartCount = containerStatus.RestartCount + 1
    	}
    
    	target, err := spec.getTargetID(podStatus)
    	if err != nil {
    		...
    		return s.Message(), ErrCreateContainerConfig
    	}
    	//生成Container config
    	containerConfig, cleanupAction, err := m.generateContainerConfig(container, pod, restartCount, podIP, imageRef, podIPs, target)
    	if cleanupAction != nil {
    		defer cleanupAction()
    	}
    	if err != nil {
    		...
    		return s.Message(), ErrCreateContainerConfig
    	}
    	//调用CRI接口创建Container
    	containerID, err := m.runtimeService.CreateContainer(podSandboxID, containerConfig, podSandboxConfig)
    	if err != nil {
    		...
    		return s.Message(), ErrCreateContainer
    	}
    	//调用生命周期的钩子,预启动Pre Start Container
    	err = m.internalLifecycle.PreStartContainer(pod, container, containerID)
    	if err != nil {
    		...
    		return s.Message(), ErrPreStartHook
    	}
    	m.recordContainerEvent(pod, container, containerID, v1.EventTypeNormal, events.CreatedContainer, fmt.Sprintf("Created container %s", container.Name))
    
    	// Step 3: start the container.
    	// 调用CRI接口启动container
    	err = m.runtimeService.StartContainer(containerID)
    	if err != nil {
    		...
    		return s.Message(), kubecontainer.ErrRunContainer
    	}
    	... 
    	// Step 4: execute the post start hook.
    	//依然是调用生命周期中设置的钩子 post start
    	if container.Lifecycle != nil && container.Lifecycle.PostStart != nil {
    		kubeContainerID := kubecontainer.ContainerID{
    			Type: m.runtimeName,
    			ID:   containerID,
    		}
    		//执行预处理工作
    		msg, handlerErr := m.runner.Run(kubeContainerID, pod, container, container.Lifecycle.PostStart)
    		if handlerErr != nil {
    			m.recordContainerEvent(pod, container, kubeContainerID.ID, v1.EventTypeWarning, events.FailedPostStartHook, msg)
    			// 如果预处理失败,那么需要kill掉Container
    			if err := m.killContainer(pod, kubeContainerID, container.Name, "FailedPostStartHook", nil); err != nil {
    				...
    			}
    			return msg, fmt.Errorf("%s: %v", ErrPostStartHook, handlerErr)
    		}
    	}
    
    	return "", nil
    }
    

    这个方法是比较清晰的:

    1. 拉取镜像;
    2. 计算一下Container重启次数,如果是首次创建,那么应该是0;
    3. 生成Container config,用于创建container;
    4. 调用CRI接口CreateContainer创建Container;
    5. 在启动之前调用PreStartContainer做预处理工作;
    6. 调用CRI接口StartContainer启动container;
    7. 调用生命周期中设置的钩子 post start;

    上面涉及了很多pod生命周期相关的操作,具体可以看:Attach Handlers to Container Lifecycle Events

    总结

    这里我直接放上一个流程图来作为这一篇的结尾。

    image-20200926170630436

    Reference

    https://kubernetes.io/docs/concepts/workloads/pods/

    https://draveness.me/kubernetes-pod/

    https://kubernetes.io/docs/tasks/configure-pod-container/attach-handler-lifecycle-event/

    https://kubernetes.io/docs/concepts/workloads/pods/ephemeral-containers/

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  • 原文地址:https://www.cnblogs.com/luozhiyun/p/13736569.html
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