内容简介:Author:摘要:在Kubernetes中,Pod是调度的基本单元,也是所有内置Workload管理的基本单元,无论是Deployment还是StatefulSet,它们在对管理的应用进行更新时,都是以Pod为单位,Pod作为Immutable Unit。然而,在部署业务时,Pod中除了业务容器,经常会有一个甚至多个SideCar Container,如何在不影响业务Container的情况下,完成对SideCar Container的原地升级呢,这正是本文需要探讨的技术实现。在Docker的世界,容器镜
Author: xidianwangtao@gmail.com , Based Kubernetes 1.12
摘要:在Kubernetes中,Pod是调度的基本单元,也是所有内置Workload管理的基本单元,无论是Deployment还是StatefulSet,它们在对管理的应用进行更新时,都是以Pod为单位,Pod作为Immutable Unit。然而,在部署业务时,Pod中除了业务容器,经常会有一个甚至多个SideCar Container,如何在不影响业务Container的情况下,完成对SideCar Container的原地升级呢,这正是本文需要探讨的技术实现。
为什么需要容器的原地升级
在 Docker 的世界,容器镜像作为不可变基础设施,解决了环境依赖的难题,而Kubernetes将这提升到了Pod的高度,希望每次应用的更新都通过ReCreate Pod的方式完成,这个理念是非常好的,这样每次ReCreate都是全新的、干净的应用环境。对于微服务的部署,这种方式并没有带来多大的负担,而对于传统应用的部署,一个Pod中可能包含了主业务容器,还有不可剥离的依赖业务容器,以及SideCar组件容器等,这时的Pod就显得很臃肿了,如果因为要更新其中一个SideCar Container而继续按照ReCreate Pod的方式进行整个Pod的重建,那负担还是很大的,体现在:
- Pod的优雅终止时间(默认30s);
- Pod重新调度后可能存在的多个容器镜像的重新下载耗费时间较长;
- 应用启动时间;
因此,因为要更新一个轻量的SideCar却导致了分钟级的单个Pod的重建过程,如果应用副本数高达成百上千,那么整体耗费时间可想而知,如果是使用StatefulSet OrderedReady PodManagementPolicy进行更新的,那代价就是难于接受的。
因此,我们迫切希望能实现,只升级Pod中的某个Container,而不用重建整个Pod,这就是我们说的容器原地升级能力。
Kubernetes是否已经支持Container原地升级
答案是: 支持 !其实早在两年都前的Kubernetes v1.5版本就有了对应的代码逻辑,本文以Kubernetes 1.12版本的代码进行解读。
很多同学肯定会觉得可疑,Kubernetes中连真正的ReStart都没有,都是ReCreate Pod,怎么会只更新Container呢?没错,在内置的众多Workload的Controller的逻辑中,确实如此。Kubernetes把容器原地升级的能力只做在Kubelet这一层,并没有暴露在Deployment、StatefulSet等Controller中直接提供给用户,原因很简单,还是建议大家把Pod作为完整的部署单元。
Kubelet启动后通过syncLoop进入到主循环处理Node上Pod Changes事件,监听来自file,apiserver,http三类的事件并汇聚到kubetypes.PodUpdate Channel(Config Channel)中,由syncLoopIteration不断从kubetypes.PodUpdate Channel中消费。
- 为了实现容器原地升级,我们更改Pod.Spec中对应容器的Image,就会生成kubetypes.UPDATE类型的事件,在syncLoopIteration中调用HandlePodUpdates进行处理。
pkg/kubelet/kubelet.go:1870 func (kl *Kubelet) syncLoopIteration(configCh <-chan kubetypes.PodUpdate, handler SyncHandler, syncCh <-chan time.Time, housekeepingCh <-chan time.Time, plegCh <-chan *pleg.PodLifecycleEvent) bool { select { case u, open := <-configCh: ... switch u.Op { ... case kubetypes.UPDATE: glog.V(2).Infof("SyncLoop (UPDATE, %q): %q", u.Source, format.PodsWithDeletionTimestamps(u.Pods)) handler.HandlePodUpdates(u.Pods) ... ... } ... }
-
HandlePodUpdates通过dispatchWork分发任务,交给podWorker.UpdatePod进行Pod的更新处理,每个Pod都会per-pod goroutines进行Pod的管理工作,也就是podWorker.managePodLoop。在managePodLoop中调用Kubelet.syncPod进行Pod的sync处理。
-
Kubelet.syncPod中会根据需求进行Pod的Kill、Cgroup的设置、为Static Pod创建Mirror Pod、为Pod创建data directories、等待Volume挂载等工作,最重要的还会调用KubeGenericRuntimeManager.SyncPod进行Pod的状态维护和干预操作。
-
KubeGenericRuntimeManager.SyncPod确保Running Pod处于期望状态,主要执行以下操作。容器原地升级背后的核心原理就从这里开始。
- Compute sandbox and container changes.
- Kill pod sandbox if necessary.
- Kill any containers that should not be running.
- Create sandbox if necessary.
- Create init containers.
- Create normal containers.
-
KubeGenericRuntimeManager.SyncPod中首先调用 kubeGenericRuntimeManager.computePodActions 检查Pod Spec是否发生变更,并且返回PodActions,记录为了达到期望状态需要执行的变更内容。
pkg/kubelet/kuberuntime/kuberuntime_manager.go:451 // computePodActions checks whether the pod spec has changed and returns the changes if true. func (m *kubeGenericRuntimeManager) computePodActions(pod *v1.Pod, podStatus *kubecontainer.PodStatus) podActions { glog.V(5).Infof("Syncing Pod %q: %+v", format.Pod(pod), pod) 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), } // If we need to (re-)create the pod sandbox, everything will need to be // killed and recreated, and init containers should be purged. if createPodSandbox { if !shouldRestartOnFailure(pod) && attempt != 0 { // Should not restart the pod, just return. return changes } if len(pod.Spec.InitContainers) != 0 { // Pod has init containers, return the first one. changes.NextInitContainerToStart = &pod.Spec.InitContainers[0] return changes } // Start all containers by default but exclude the ones that succeeded if // RestartPolicy is OnFailure. 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 } // Check initialization progress. initLastStatus, next, done := findNextInitContainerToRun(pod, podStatus) if !done { if next != nil { initFailed := initLastStatus != nil && isContainerFailed(initLastStatus) if initFailed && !shouldRestartOnFailure(pod) { changes.KillPod = true } else { changes.NextInitContainerToStart = next } } // Initialization failed or still in progress. Skip inspecting non-init // containers. return changes } // Number of running containers to keep. keepCount := 0 // check the status of containers. for idx, container := range pod.Spec.Containers { containerStatus := podStatus.FindContainerStatusByName(container.Name) // Call internal container post-stop lifecycle hook for any non-running container so that any // allocated cpus are released immediately. If the container is restarted, cpus will be re-allocated // to it. if containerStatus != nil && containerStatus.State != kubecontainer.ContainerStateRunning { if err := m.internalLifecycle.PostStopContainer(containerStatus.ID.ID); err != nil { glog.Errorf("internal container post-stop lifecycle hook failed for container %v in pod %v with error %v", container.Name, pod.Name, err) } } // If container does not exist, or is not running, check whether we // need to restart it. 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) glog.V(3).Infof(message) changes.ContainersToStart = append(changes.ContainersToStart, idx) } continue } // The container is running, but kill the container if any of the following condition is met. reason := "" restart := shouldRestartOnFailure(pod) if expectedHash, actualHash, changed := containerChanged(&container, containerStatus); changed { reason = fmt.Sprintf("Container spec hash changed (%d vs %d).", actualHash, expectedHash) // Restart regardless of the restart policy because the container // spec changed. restart = true } else if liveness, found := m.livenessManager.Get(containerStatus.ID); found && liveness == proberesults.Failure { // If the container failed the liveness probe, we should kill it. reason = "Container failed liveness probe." } else { // Keep the container. keepCount += 1 continue } // We need to kill the container, but if we also want to restart the // container afterwards, make the intent clear in the message. Also do // not kill the entire pod since we expect container to be running eventually. message := reason if restart { message = fmt.Sprintf("%s. Container will be killed and recreated.", message) changes.ContainersToStart = append(changes.ContainersToStart, idx) } changes.ContainersToKill[containerStatus.ID] = containerToKillInfo{ name: containerStatus.Name, container: &pod.Spec.Containers[idx], message: message, } glog.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 }
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computePodActions会检查Pod Sandbox是否发生变更、各个Container(包括InitContainer)的状态等因素来决定是否要重建整个Pod。
-
遍历Pod内所有Containers:
- 如果容器还没启动,则会根据Container的重启策略决定是否将Container添加到待启动容器列表中(PodActions.ContainersToStart);
- 如果容器的Spec发生变更(比较Hash值),则无论重启策略是什么,都要根据新的Spec重建容器,将Container添加到待启动容器列表中(PodActions.ContainersToStart);
- 如果Container Spec没有变更,liveness probe也是成功的,则该Container将保持不动,否则会将容器将入到待Kill列表中(PodActions.ContainersToKill);
PodActions表示要对Pod进行的操作信息:
pkg/kubelet/kuberuntime/kuberuntime_manager.go:369 // podActions keeps information what to do for a pod. type podActions struct { // Stop all running (regular and init) containers and the sandbox for the pod. KillPod bool // Whether need to create a new sandbox. If needed to kill pod and create a // a new pod sandbox, all init containers need to be purged (i.e., removed). CreateSandbox bool // The id of existing sandbox. It is used for starting containers in ContainersToStart. SandboxID string // The attempt number of creating sandboxes for the pod. Attempt uint32 // The next init container to start. NextInitContainerToStart *v1.Container // ContainersToStart keeps a list of indexes for the containers to start, // where the index is the index of the specific container in the pod spec ( // pod.Spec.Containers. ContainersToStart []int // ContainersToKill keeps a map of containers that need to be killed, note that // the key is the container ID of the container, while // the value contains necessary information to kill a container. ContainersToKill map[kubecontainer.ContainerID]containerToKillInfo }
因此,computePodActions的关键是的计算出了待启动的和待Kill的容器列表。接下来,KubeGenericRuntimeManager.SyncPod就会在分别调用KubeGenericRuntimeManager.killContainer和startContainer去杀死和启动容器。
func (m *kubeGenericRuntimeManager) SyncPod(pod *v1.Pod, _ v1.PodStatus, podStatus *kubecontainer.PodStatus, pullSecrets []v1.Secret, backOff *flowcontrol.Backoff) (result kubecontainer.PodSyncResult) { // Step 1: Compute sandbox and container changes. podContainerChanges := m.computePodActions(pod, podStatus) ... // Step 2: Kill the pod if the sandbox has changed. if podContainerChanges.KillPod { ... } else { // Step 3: kill any running containers in this pod which are not to keep. for containerID, containerInfo := range podContainerChanges.ContainersToKill { glog.V(3).Infof("Killing unwanted container %q(id=%q) for pod %q", containerInfo.name, containerID, format.Pod(pod)) killContainerResult := kubecontainer.NewSyncResult(kubecontainer.KillContainer, containerInfo.name) result.AddSyncResult(killContainerResult) if err := m.killContainer(pod, containerID, containerInfo.name, containerInfo.message, nil); err != nil { killContainerResult.Fail(kubecontainer.ErrKillContainer, err.Error()) glog.Errorf("killContainer %q(id=%q) for pod %q failed: %v", containerInfo.name, containerID, format.Pod(pod), err) return } } } ... // Step 4: Create a sandbox for the pod if necessary. podSandboxID := podContainerChanges.SandboxID if podContainerChanges.CreateSandbox { ... } ... // Step 5: start the init container. if container := podContainerChanges.NextInitContainerToStart; container != nil { ... } // Step 6: start containers in podContainerChanges.ContainersToStart. for _, idx := range podContainerChanges.ContainersToStart { container := &pod.Spec.Containers[idx] startContainerResult := kubecontainer.NewSyncResult(kubecontainer.StartContainer, container.Name) result.AddSyncResult(startContainerResult) isInBackOff, msg, err := m.doBackOff(pod, container, podStatus, backOff) if isInBackOff { startContainerResult.Fail(err, msg) glog.V(4).Infof("Backing Off restarting container %+v in pod %v", container, format.Pod(pod)) continue } glog.V(4).Infof("Creating container %+v in pod %v", container, format.Pod(pod)) if msg, err := m.startContainer(podSandboxID, podSandboxConfig, container, pod, podStatus, pullSecrets, podIP, kubecontainer.ContainerTypeRegular); err != nil { startContainerResult.Fail(err, msg) // known errors that are logged in other places are logged at higher levels here to avoid // repetitive log spam switch { case err == images.ErrImagePullBackOff: glog.V(3).Infof("container start failed: %v: %s", err, msg) default: utilruntime.HandleError(fmt.Errorf("container start failed: %v: %s", err, msg)) } continue } } return }
我们只关注整个流程中与容器原地升级原理相关的代码逻辑,对应的流程图如下:
验证
使用StatefulSet部署一个Demo,然后修改某个Pod的Spec中nginx容器的镜像版本,通过kubelet日志可以发现的确如此。
kubelet[1121]: I0412 16:34:28.356083 1121 kubelet.go:1868] SyncLoop (UPDATE, "api"): "web-2_default(2813f459-59cc-11e9-a1f7-525400e7b58a)" kubelet[1121]: I0412 16:34:28.657836 1121 kuberuntime_manager.go:549] Container "nginx" ({"docker" "8d16517eb4b7b5b84755434eb25c7ab83667bca44318cbbcd89cf8abd232973f"}) of pod web-2_default(2813f459-59cc-11e9-a1f7-525400e7b58a): Container spec hash changed (3176550502 vs 1676109989).. Container will be killed and recreated. kubelet[1121]: I0412 16:34:28.658529 1121 kuberuntime_container.go:548] Killing container "docker://8d16517eb4b7b5b84755434eb25c7ab83667bca44318cbbcd89cf8abd232973f" with 10 second grace period kubelet[1121]: I0412 16:34:28.814944 1121 kuberuntime_manager.go:757] checking backoff for container "nginx" in pod "web-2_default(2813f459-59cc-11e9-a1f7-525400e7b58a)" kubelet[1121]: I0412 16:34:29.179953 1121 kubelet.go:1906] SyncLoop (PLEG): "web-2_default(2813f459-59cc-11e9-a1f7-525400e7b58a)", event: &pleg.PodLifecycleEvent{ID:"2813f459-59cc-11e9-a1f7-525400e7b58a", Type:"ContainerDied", Data:"8d16517eb4b7b5b84755434eb25c7ab83667bca44318cbbcd89cf8abd232973f"} kubelet[1121]: I0412 16:34:29.182257 1121 kubelet.go:1906] SyncLoop (PLEG): "web-2_default(2813f459-59cc-11e9-a1f7-525400e7b58a)", event: &pleg.PodLifecycleEvent{ID:"2813f459-59cc-11e9-a1f7-525400e7b58a", Type:"ContainerStarted", Data:"52e30b1aa621a20ae2eae5accf98c451c1be3aed781609d5635a79e48eb98222"}
从本地 docker ps -a
命令也能得到验证:老的容器被终止了,新的容器起来了,而且watch Pod发现Pod没有重建。
总结
总结一下,当用户修改了Pod Spec中某个Container的Image信息后,在KubeGenericRuntimeManager.computePodActions中发现该Container Spec Hash发生改变,调用KubeGenericRuntimeManager.killContainer将容器优雅终止。旧的容器被杀死之后,computePodActions中会发现Pod Spec中定义的Container没有启动,就会调用KubeGenericRuntimeManager.startContainer启动新的容器,如此即完成Pod不重建的前提下实现容器的原地升级。了解技术原理后,我们可以开发一个CRD/Operator,在Operator的逻辑中,实现业务负载层面的灰度的或者滚动的容器原地升级的能力,这样就能解决臃肿Pod中只更新某个镜像而不影响其他容器的问题了。
以上所述就是小编给大家介绍的《如何在Kubernetes中实现容器原地升级 原 荐》,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对 码农网 的支持!
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