摘要:源碼版本簡(jiǎn)介在急群眾,在每個(gè)節(jié)點(diǎn)上都會(huì)啟動(dòng)一個(gè)服務(wù)進(jìn)程。該進(jìn)程用于處理節(jié)點(diǎn)下發(fā)到本節(jié)點(diǎn)的任務(wù),管理及中的容器。每個(gè)進(jìn)程會(huì)在上注冊(cè)節(jié)點(diǎn)自身信息,定期向節(jié)點(diǎn)匯報(bào)節(jié)點(diǎn)資源的使用情況,并通過監(jiān)控容器和節(jié)點(diǎn)資源。最后運(yùn)行健康檢測(cè)服務(wù)。
源碼版本
kubernetes version: v1.3.0
簡(jiǎn)介在Kubernetes急群眾,在每個(gè)Node節(jié)點(diǎn)上都會(huì)啟動(dòng)一個(gè)kubelet服務(wù)進(jìn)程。該進(jìn)程用于處理Master節(jié)點(diǎn)下發(fā)到本節(jié)點(diǎn)的任務(wù),管理Pod及Pod中的容器。每個(gè)Kubelet進(jìn)程會(huì)在APIServer上注冊(cè)節(jié)點(diǎn)自身信息,定期向Master節(jié)點(diǎn)匯報(bào)節(jié)點(diǎn)資源的使用情況,并通過cAdvise監(jiān)控容器和節(jié)點(diǎn)資源。
關(guān)鍵結(jié)構(gòu) KubeletConfigurationtype KubeletConfiguration struct { // kubelet的參數(shù)配置文件 Config string `json:"config"` // kubelet支持三種源數(shù)據(jù): // 1. ApiServer: kubelet通過ApiServer監(jiān)聽etcd目錄,同步Pod清單 // 2. file: 通過kubelet啟動(dòng)參數(shù)"--config"指定配置文件目錄下的文件 // 3. http URL: 通過"--manifest-url"參數(shù)設(shè)置 // 所以下面會(huì)有三種同步的頻率配置 // 同步容器和配置的頻率。 SyncFrequency unversioned.Duration `json:"syncFrequency"` // 文件檢查頻率 FileCheckFrequency unversioned.Duration `json:"fileCheckFrequency"` // Http模式檢查頻率 HTTPCheckFrequency unversioned.Duration `json:"httpCheckFrequency"` // 該參數(shù)設(shè)置HTTP模式下的endpoint ManifestURL string `json:"manifestURL"` ManifestURLHeader string `json:"manifestURLHeader"` // 是否需要開啟kubelet Server,就是指下列的10250端口 EnableServer bool `json:"enableServer"` // kubelet服務(wù)地址 Address string `json:"address"` // kubelet服務(wù)端口,默認(rèn)10250 // 別的服務(wù)端口如下: // -->Scheduler服務(wù)端口:10251 // -->ControllerManagerPort: 10252 Port uint `json:"port"` // kubelet服務(wù)的只讀端口,沒有任何認(rèn)證(0:disable)。默認(rèn)為10255 // 該功能只要配置端口,就必定開啟服務(wù) ReadOnlyPort uint `json:"readOnlyPort"` // 證書相關(guān): TLSCertFile string `json:"tLSCertFile"` TLSPrivateKeyFile string `json:"tLSPrivateKeyFile"` CertDirectory string `json:"certDirectory"` // 用于識(shí)別kubelet的hostname,代替實(shí)際的hostname HostnameOverride string `json:"hostnameOverride"` // 指定創(chuàng)建Pod時(shí)的基礎(chǔ)鏡像 PodInfraContainerImage string `json:"podInfraContainerImage"` // 配置kubelet需要交互的docker的endpoint // 比如:unix:///var/run/docker.sock, 這個(gè)是默認(rèn)的Linux配置 DockerEndpoint string `json:"dockerEndpoint"` // kubelet的volume、mounts、配置目錄路徑 // 默認(rèn)是/var/lib/kubelet RootDirectory string `json:"rootDirectory"` SeccompProfileRoot string `json:"seccompProfileRoot"` // 是否允許root權(quán)限 AllowPrivileged bool `json:"allowPrivileged"` // kubelet允許pods使用的資源:主機(jī)的Network、PID、IPC // 默認(rèn)都是kubetypes.AllSource,即所有資源"*" HostNetworkSources string `json:"hostNetworkSources"` HostPIDSources string `json:"hostPIDSources"` HostIPCSources string `json:"hostIPCSources"` // 限制從鏡像倉(cāng)庫(kù)拉取鏡像的速度, 0:unlimited; 5.0: default RegistryPullQPS float64 `json:"registryPullQPS"` // 從鏡像倉(cāng)庫(kù)拉取鏡像允許產(chǎn)生的爆發(fā)值 RegistryBurst int32 `json:"registryBurst"` // 限制每秒產(chǎn)生的events最大數(shù)量 EventRecordQPS float32 `json:"eventRecordQPS"` // 允許產(chǎn)生events的爆發(fā)值 EventBurst int32 `json:"eventBurst"` // 使能debug模式,進(jìn)行l(wèi)og收集和本地允許容器和命令 EnableDebuggingHandlers bool `json:"enableDebuggingHandlers"` // 容器被回收之前存在的最小時(shí)間,在這時(shí)間之前是不允許被回收的 MinimumGCAge unversioned.Duration `json:"minimumGCAge"` // Pod中允許存在Container的最大數(shù)量,默認(rèn)是2 MaxPerPodContainerCount int32 `json:"maxPerPodContainerCount"` // 該節(jié)點(diǎn)上允許存在的最大container數(shù)量,默認(rèn)是240 MaxContainerCount int32 `json:"maxContainerCount"` // cAdvisor服務(wù)端口,默認(rèn)是4194 CAdvisorPort uint `json:"cAdvisorPort"` // 健康檢測(cè)端口,默認(rèn)是10248 HealthzPort int32 `json:"healthzPort"` // 健康檢測(cè)綁定地址,默認(rèn)是“127.0.0.1” HealthzBindAddress string `json:"healthzBindAddress"` // kubelet進(jìn)程的oom-score-adj值,范圍:[-1000, 1000] OOMScoreAdj int32 `json:"oomScoreAdj"` // 是否自動(dòng)向Apiserver注冊(cè) RegisterNode bool `json:"registerNode"` ClusterDomain string `json:"clusterDomain"` MasterServiceNamespace string `json:"masterServiceNamespace"` // 集群DNS的IP,kubelet將配置所有的containers去使用該DNS ClusterDNS string `json:"clusterDNS"` // 流連接的超時(shí)時(shí)間 StreamingConnectionIdleTimeout unversioned.Duration `json:"streamingConnectionIdleTimeout"` // Node狀態(tài)更新頻率,該值需要和nodeController中的nodeMonitorGracePeriod一起作用 // 設(shè)置kubelet每隔多少時(shí)間向APIServer匯報(bào)節(jié)點(diǎn)狀態(tài),默認(rèn)為10s NodeStatusUpdateFrequency unversioned.Duration `json:"nodeStatusUpdateFrequency"` // 設(shè)置鏡像被回收之前存在的最短時(shí)間,在這時(shí)間之前是不會(huì)被回收 ImageMinimumGCAge unversioned.Duration `json:"imageMinimumGCAge"` // 磁盤占用率超過該值后,鏡像垃圾回收進(jìn)程將一直運(yùn)行 ImageGCHighThresholdPercent int32 `json:"imageGCHighThresholdPercent"` // 磁盤占用率低于該值,鏡像垃圾回收進(jìn)程將不運(yùn)行 ImageGCLowThresholdPercent int32 `json:"imageGCLowThresholdPercent"` // 磁盤空間的保留大小,當(dāng)?shù)陀谠撝禃r(shí),Pods將不能再創(chuàng)建 LowDiskSpaceThresholdMB int32 `json:"lowDiskSpaceThresholdMB"` // 計(jì)算所有Pods和緩存容量的磁盤使用情況的頻率 VolumeStatsAggPeriod unversioned.Duration `json:"volumeStatsAggPeriod"` // Network和volume的插件相關(guān) NetworkPluginName string `json:"networkPluginName"` NetworkPluginDir string `json:"networkPluginDir"` VolumePluginDir string `json:"volumePluginDir"` CloudProvider string `json:"cloudProvider,omitempty"` CloudConfigFile string `json:"cloudConfigFile,omitempty"` // 一個(gè)cgroups的名字,用于隔離kubelet ????為啥要隔離?單節(jié)點(diǎn)支持多個(gè)kubelet?? KubeletCgroups string `json:"kubeletCgroups,omitempty"` // 用于隔離容器運(yùn)行時(shí)(Docker、Rkt)的cgroups RuntimeCgroups string `json:"runtimeCgroups,omitempty"` SystemCgroups string `json:"systemContainer,omitempty"` CgroupRoot string `json:"cgroupRoot,omitempty"` // ??? ContainerRuntime string `json:"containerRuntime"` // 設(shè)置所有的runtime請(qǐng)求的超時(shí)時(shí)間(如:pull、logs、exec、attach),除了那些長(zhǎng)時(shí)間運(yùn)行的任務(wù) RuntimeRequestTimeout unversioned.Duration `json:"runtimeRequestTimeout,omitempty"` // rkt執(zhí)行文件的路徑 RktPath string `json:"rktPath,omitempty"` // rkt通訊端點(diǎn) RktAPIEndpoint string `json:"rktAPIEndpoint,omitempty"` RktStage1Image string `json:"rktStage1Image,omitempty"` // kubelet文件鎖,用于與別的kubelet進(jìn)行同步 LockFilePath string `json:"lockFilePath"` ExitOnLockContention bool `json:"exitOnLockContention"` // 基于Node.Spec.PodCIDR來(lái)配置網(wǎng)卡cbr0 ConfigureCBR0 bool `json:"configureCbr0"` // 配置網(wǎng)絡(luò)模式, promiscuous-bridge、hairpin-veth、none HairpinMode string `json:"hairpinMode"` // 表示該節(jié)點(diǎn)已經(jīng)有監(jiān)控docker和kubelet的程序 BabysitDaemons bool `json:"babysitDaemons"` // 該kubelet下能運(yùn)行的最大Pods數(shù)量 MaxPods int32 `json:"maxPods"` NvidiaGPUs int32 `json:"nvidiaGPUs"` // 容器命令執(zhí)行的Handler,通過字符串來(lái)配置不同的Handler // 可配置:"native" or "nsender",default: "native" DockerExecHandlerName string `json:"dockerExecHandlerName"` // 這個(gè)CIDR用于分配Pod IP地址,只作用在standalone模式 PodCIDR string `json:"podCIDR"` // 配置容器的DNS解析文件,默認(rèn)是"/etc/resolv.conf" ResolverConfig string `json:"resolvConf"` // 使能容器的CPU配額功能 CPUCFSQuota bool `json:"cpuCFSQuota"` // 如果kubelet運(yùn)行在容器中的話,需要把該值設(shè)置為true // kubelet運(yùn)行在主機(jī)上和容器里會(huì)有差異: // 在主機(jī)上的話,寫文件數(shù)據(jù)沒有什么限制,直接調(diào)用ioutil.WriteFile()接口就OK // 在容器里的話,如果kubelet要寫數(shù)據(jù)到它所創(chuàng)建的容器的話,就得使用nsender進(jìn)入到 // 容器對(duì)應(yīng)的namespace中,然后寫數(shù)據(jù) Containerized bool `json:"containerized"` // kubelet進(jìn)程可以打開的最大文件數(shù) MaxOpenFiles uint64 `json:"maxOpenFiles"` // 由apiServer指定CIDR ReconcileCIDR bool `json:"reconcileCIDR"` // 指定kubelet將它所在的Node注冊(cè)到Apiserver,為Schedulable RegisterSchedulable bool `json:"registerSchedulable"` // kubelet發(fā)送給apiServer的請(qǐng)求的正文類型,default:"application/vnd.kubernetes.protobuf" ContentType string `json:"contentType"` // kubelet和apiServer交互所設(shè)定的QPS KubeAPIQPS float32 `json:"kubeAPIQPS"` // kubelet與apiServer交互允許產(chǎn)生的爆發(fā)值 KubeAPIBurst int32 `json:"kubeAPIBurst"` // 設(shè)置為true的話,告訴kubelet串行的去pull image SerializeImagePulls bool `json:"serializeImagePulls"` // 使能Flannel網(wǎng)絡(luò)來(lái)啟動(dòng)kubelet,該前提是默認(rèn)Flannel已經(jīng)啟動(dòng)了 ExperimentalFlannelOverlay bool `json:"experimentalFlannelOverlay"` // Node可能會(huì)出于out-of-disk的狀態(tài)(磁盤空間不足),kubelet需要定時(shí)查詢node狀態(tài) // 所以該值就是定時(shí)查詢的頻率 OutOfDiskTransitionFrequency unversioned.Duration `json:"outOfDiskTransitionFrequency,omitempty"` // kubelet所在節(jié)點(diǎn)的IP.如果該值有設(shè)置,那么kubelet會(huì)把該值設(shè)置到node上 NodeIP string `json:"nodeIP,omitempty"` // 該Node的Labels NodeLabels map[string]string `json:"nodeLabels"` NonMasqueradeCIDR string `json:"nonMasqueradeCIDR"` EnableCustomMetrics bool `json:"enableCustomMetrics"` // 以下幾個(gè)都跟回收策略有關(guān),詳細(xì)的需要查看代碼實(shí)現(xiàn)。 // 用逗號(hào)分隔的回收資源的條件表達(dá)式 // 參考: https://kubernetes.io/docs/admin/out-of-resource/ EvictionHard string `json:"evictionHard,omitempty"` EvictionSoft string `json:"evictionSoft,omitempty"` EvictionSoftGracePeriod string `json:"evictionSoftGracePeriod,omitempty"` EvictionPressureTransitionPeriod unversioned.Duration `json:"evictionPressureTransitionPeriod,omitempty"` EvictionMaxPodGracePeriod int32 `json:"evictionMaxPodGracePeriod,omitempty"` // 設(shè)置每個(gè)核最大的Pods數(shù)量 PodsPerCore int32 `json:"podsPerCore"` // 是否使能kubelet attach/detach的功能 EnableControllerAttachDetach bool `json:"enableControllerAttachDetach"` }Kubelet啟動(dòng)流程 main 入口
main入口: cmd/kubelet/kubelet.go
Main源碼如下:
func main() { runtime.GOMAXPROCS(runtime.NumCPU()) s := options.NewKubeletServer() s.AddFlags(pflag.CommandLine) flag.InitFlags() util.InitLogs() defer util.FlushLogs() verflag.PrintAndExitIfRequested() if err := app.Run(s, nil); err != nil { fmt.Fprintf(os.Stderr, "%v ", err) os.Exit(1) } }
有看過源碼的同學(xué),應(yīng)該會(huì)發(fā)現(xiàn)kubernetes所有執(zhí)行程序的入口函數(shù)風(fēng)格都差不多一致。
options.NewKubeletServer(): 創(chuàng)建了一個(gè)KubeletServer結(jié)構(gòu),并進(jìn)行了默認(rèn)值的初始化。
接口如下:
func NewKubeletServer() *KubeletServer { return &KubeletServer{ ... KubeletConfiguration: componentconfig.KubeletConfiguration{ Address: "0.0.0.0", CAdvisorPort: 4194, VolumeStatsAggPeriod: unversioned.Duration{Duration: time.Minute}, CertDirectory: "/var/run/kubernetes", CgroupRoot: "", CloudProvider: AutoDetectCloudProvider, ConfigureCBR0: false, ContainerRuntime: "docker", RuntimeRequestTimeout: unversioned.Duration{Duration: 2 * time.Minute}, CPUCFSQuota: true, ... }
s.AddFlags(pflag.CommandLine): 該接口用于從kubelet命令行獲取參數(shù)。
接口如下:
func (s *KubeletServer) AddFlags(fs *pflag.FlagSet) { fs.StringVar(&s.Config, "config", s.Config, "Path to the config file or directory of files") fs.DurationVar(&s.SyncFrequency.Duration, "sync-frequency", s.SyncFrequency.Duration, "Max period between synchronizing running containers and config") fs.DurationVar(&s.FileCheckFrequency.Duration, "file-check-frequency", s.FileCheckFrequency.Duration, "Duration between checking config files for new data") ... }
命令行參數(shù)獲取完之后,就是進(jìn)行日志等的初始化。
verflag.PrintAndExitIfRequested(): 判斷了參數(shù)是否是help,是的話直接打印help信息,然后退出。
最后就進(jìn)入到關(guān)鍵函數(shù)app.Run(s, nil)。
Run入口: cmd/kubelet/app/server.go
該接口的代碼很長(zhǎng),其實(shí)主要也是做了一些準(zhǔn)備工作,先來(lái)看下參數(shù)配置的過程。
代碼如下:
func run(s *options.KubeletServer, kcfg *KubeletConfig) (err error) { ... // 可以看到app.Run()進(jìn)來(lái)的時(shí)候,kcfg=nil if kcfg == nil { // UnsecuredKubeletConfig()返回一個(gè)有效的KubeConfig cfg, err := UnsecuredKubeletConfig(s) if err != nil { return err } kcfg = cfg // 初始化一個(gè)Config,用來(lái)與APIServer交互 clientConfig, err := CreateAPIServerClientConfig(s) if err == nil { // 用于創(chuàng)建各類client: 核心client、認(rèn)證client、授權(quán)client... kcfg.KubeClient, err = clientset.NewForConfig(clientConfig) // 創(chuàng)建一個(gè)events的client // make a separate client for events eventClientConfig := *clientConfig eventClientConfig.QPS = s.EventRecordQPS eventClientConfig.Burst = int(s.EventBurst) kcfg.EventClient, err = clientset.NewForConfig(&eventClientConfig) } ... } // 創(chuàng)建了一個(gè)cAdvisor對(duì)象,用于獲取各類資源信息 // 其中有部分接口還未支持 if kcfg.CAdvisorInterface == nil { kcfg.CAdvisorInterface, err = cadvisor.New(s.CAdvisorPort, kcfg.ContainerRuntime) if err != nil { return err } } // kubelet的容器管理模塊 if kcfg.ContainerManager == nil { if kcfg.SystemCgroups != "" && kcfg.CgroupRoot == "" { return fmt.Errorf("invalid configuration: system container was specified and cgroup root was not specified") } kcfg.ContainerManager, err = cm.NewContainerManager(kcfg.Mounter, kcfg.CAdvisorInterface, cm.NodeConfig{ RuntimeCgroupsName: kcfg.RuntimeCgroups, SystemCgroupsName: kcfg.SystemCgroups, KubeletCgroupsName: kcfg.KubeletCgroups, ContainerRuntime: kcfg.ContainerRuntime, }) if err != nil { return err } } ... // 配置系統(tǒng)OOM參數(shù) // TODO(vmarmol): Do this through container config. oomAdjuster := kcfg.OOMAdjuster if err := oomAdjuster.ApplyOOMScoreAdj(0, int(s.OOMScoreAdj)); err != nil { glog.Warning(err) } // 繼續(xù)接下去的kubelet運(yùn)行步驟 if err := RunKubelet(kcfg); err != nil { return err } // kubelet的監(jiān)控檢測(cè) if s.HealthzPort > 0 { healthz.DefaultHealthz() go wait.Until(func() { err := http.ListenAndServe(net.JoinHostPort(s.HealthzBindAddress, strconv.Itoa(int(s.HealthzPort))), nil) if err != nil { glog.Errorf("Starting health server failed: %v", err) } }, 5*time.Second, wait.NeverStop) } if s.RunOnce { return nil } <-done return nil }
該接口主要準(zhǔn)備了一個(gè)KubeletConfig結(jié)構(gòu),調(diào)用UnsecuredKubeletConfig()接口進(jìn)行創(chuàng)建。
然后還創(chuàng)建了一些該結(jié)構(gòu)中的kubeClient、EventClient、CAdvisorInterface、ContainerManager、oomAdjuster等對(duì)象。
然后調(diào)用了RunKubelet()接口,走接下去的服務(wù)運(yùn)行流程。
最后運(yùn)行健康檢測(cè)服務(wù)。
下面挑關(guān)鍵的接口進(jìn)行介紹:
UnsecuredKubeletConfig()接口func UnsecuredKubeletConfig(s *options.KubeletServer) (*KubeletConfig, error) { 。。。 // kubelet可能會(huì)以容器的方式部署,需要配置標(biāo)準(zhǔn)輸出 mounter := mount.New() var writer io.Writer = &io.StdWriter{} if s.Containerized { glog.V(2).Info("Running kubelet in containerized mode (experimental)") mounter = mount.NewNsenterMounter() writer = &io.NsenterWriter{} } // 配置kubelet的TLS tlsOptions, err := InitializeTLS(s) if err != nil { return nil, err } // kubelet有兩種部署方式: 直接運(yùn)行在物理機(jī)上,還有一種是通過容器部署。 // 若部署到容器中,就會(huì)有namespace隔離的問題,導(dǎo)致kubelet無(wú)法訪問docker容器的 // namespace并且docker exec運(yùn)行命令。 // 所以這里會(huì)進(jìn)行判斷,如果運(yùn)行在容器中的話,就需要用到nsenter,它可以協(xié)助kubelet // 到指定的namespace運(yùn)行命令。 // nsenter參考資料: https://github.com/jpetazzo/nsenter var dockerExecHandler dockertools.ExecHandler switch s.DockerExecHandlerName { case "native": dockerExecHandler = &dockertools.NativeExecHandler{} case "nsenter": dockerExecHandler = &dockertools.NsenterExecHandler{} default: glog.Warningf("Unknown Docker exec handler %q; defaulting to native", s.DockerExecHandlerName) dockerExecHandler = &dockertools.NativeExecHandler{} } // k8s對(duì)image的回收管理策略 // MinAge: 表示鏡像存活的最小時(shí)間,只有在這之后才能回收該鏡像 // HighThresholdPercent: 磁盤占用超過該值后,GC一直開啟 // LowThresholdPercent: 磁盤占用低于該值的話,GC不開啟 imageGCPolicy := kubelet.ImageGCPolicy{ MinAge: s.ImageMinimumGCAge.Duration, HighThresholdPercent: int(s.ImageGCHighThresholdPercent), LowThresholdPercent: int(s.ImageGCLowThresholdPercent), } // k8s根據(jù)磁盤空間配置策略 // DockerFreeDiskMB: 磁盤可用空間低于該值時(shí),pod將無(wú)法再在該節(jié)點(diǎn)創(chuàng)建,也是指該磁盤需要保留的空間大小 diskSpacePolicy := kubelet.DiskSpacePolicy{ DockerFreeDiskMB: int(s.LowDiskSpaceThresholdMB), RootFreeDiskMB: int(s.LowDiskSpaceThresholdMB), } 。。。 // k8s v1.3引入的功能。Eviction用于k8s集群提前感知節(jié)點(diǎn)memory/disk負(fù)載情況,來(lái)調(diào)度資源。 thresholds, err := eviction.ParseThresholdConfig(s.EvictionHard, s.EvictionSoft, s.EvictionSoftGracePeriod) if err != nil { return nil, err } evictionConfig := eviction.Config{ PressureTransitionPeriod: s.EvictionPressureTransitionPeriod.Duration, MaxPodGracePeriodSeconds: int64(s.EvictionMaxPodGracePeriod), Thresholds: thresholds, } // 初始化KubeletConfig結(jié)構(gòu) return &KubeletConfig{ Address: net.ParseIP(s.Address), AllowPrivileged: s.AllowPrivileged, Auth: nil, // default does not enforce auth[nz] 。。。 }, nil }
這段代碼中,個(gè)人覺得有幾個(gè)點(diǎn)比較值得了解下:
該接口中會(huì)涉及到kubelet跑在物理機(jī)上還是容器中。
如果運(yùn)行在容器中,會(huì)存在namespace權(quán)限的問題,需要通過nsenter來(lái)操作docker容器。
kubelet提供了參數(shù)"--docker-exec-handler"(即DockerExecHandlerName),來(lái)配置是否使用nsenter.
Nsenter功能可以了解下。
還有一個(gè)kubelet Eviction功能。該功能是k8s v1.3.0新引入的功能,eviction功能就是在節(jié)點(diǎn)超負(fù)荷之前,提前不讓Pod進(jìn)行創(chuàng)建,主要就是針對(duì)memory和disk。
之前的版本是不會(huì)提前感知集群的節(jié)點(diǎn)負(fù)荷,當(dāng)內(nèi)存吃緊時(shí),k8s只依靠?jī)?nèi)核的OOM Killer、磁盤定期對(duì)image和container進(jìn)行垃圾回收功能,這樣對(duì)于Pod有不確定性。eviction很好的解決了該問題,可以在kubelet啟動(dòng)時(shí)指定memory/disk等參數(shù),來(lái)保證節(jié)點(diǎn)穩(wěn)定工作,讓集群提前感知節(jié)點(diǎn)負(fù)荷。
創(chuàng)建client會(huì)有兩步:
調(diào)用CreateAPIServerClientConfig()進(jìn)行Config初始化
調(diào)用clientset.NewForConfig()根據(jù)之前初始化的Config,創(chuàng)建各類Client。
CreateAPIServerClientConfig()接口如下:
func CreateAPIServerClientConfig(s *options.KubeletServer) (*restclient.Config, error) { // 檢查APIServer是否有配置 if len(s.APIServerList) < 1 { return nil, fmt.Errorf("no api servers specified") } // 檢查是否配置了多個(gè)APIServer,新版本已經(jīng)支持多APIServer的HA // 現(xiàn)在默認(rèn)是用第一個(gè)Server // TODO: adapt Kube client to support LB over several servers if len(s.APIServerList) > 1 { glog.Infof("Multiple api servers specified. Picking first one") } clientConfig, err := createClientConfig(s) if err != nil { return nil, err } clientConfig.ContentType = s.ContentType // Override kubeconfig qps/burst settings from flags clientConfig.QPS = s.KubeAPIQPS clientConfig.Burst = int(s.KubeAPIBurst) addChaosToClientConfig(s, clientConfig) return clientConfig, nil } func createClientConfig(s *options.KubeletServer) (*restclient.Config, error) { if s.KubeConfig.Provided() && s.AuthPath.Provided() { return nil, fmt.Errorf("cannot specify both --kubeconfig and --auth-path") } if s.KubeConfig.Provided() { return kubeconfigClientConfig(s) } if s.AuthPath.Provided() { return authPathClientConfig(s, false) } // Try the kubeconfig default first, falling back to the auth path default. clientConfig, err := kubeconfigClientConfig(s) if err != nil { glog.Warningf("Could not load kubeconfig file %s: %v. Trying auth path instead.", s.KubeConfig, err) return authPathClientConfig(s, true) } return clientConfig, nil } // 就是這邊默認(rèn)指定了第一個(gè)APIServer func kubeconfigClientConfig(s *options.KubeletServer) (*restclient.Config, error) { return clientcmd.NewNonInteractiveDeferredLoadingClientConfig( &clientcmd.ClientConfigLoadingRules{ExplicitPath: s.KubeConfig.Value()}, &clientcmd.ConfigOverrides{ClusterInfo: clientcmdapi.Cluster{Server: s.APIServerList[0]}}).ClientConfig() }
創(chuàng)建Config成功之后,便調(diào)用clientset.NewForConfig()創(chuàng)建各類Clients:
func NewForConfig(c *restclient.Config) (*Clientset, error) { // 配置Client連接限制 configShallowCopy := *c if configShallowCopy.RateLimiter == nil && configShallowCopy.QPS > 0 { configShallowCopy.RateLimiter = flowcontrol.NewTokenBucketRateLimiter(configShallowCopy.QPS, configShallowCopy.Burst) } var clientset Clientset var err error // 創(chuàng)建核心Client clientset.CoreClient, err = unversionedcore.NewForConfig(&configShallowCopy) if err != nil { return nil, err } // 創(chuàng)建第三方Client clientset.ExtensionsClient, err = unversionedextensions.NewForConfig(&configShallowCopy) if err != nil { return nil, err } // 創(chuàng)建自動(dòng)伸縮Client clientset.AutoscalingClient, err = unversionedautoscaling.NewForConfig(&configShallowCopy) if err != nil { return nil, err } // 創(chuàng)建批量操作的Client clientset.BatchClient, err = unversionedbatch.NewForConfig(&configShallowCopy) if err != nil { return nil, err } // 創(chuàng)建Rbac Client (RBAC:基于角色的訪問控制) // 跟k8s的認(rèn)證授權(quán)有關(guān),可以參考: https://kubernetes.io/docs/admin/authorization/ clientset.RbacClient, err = unversionedrbac.NewForConfig(&configShallowCopy) if err != nil { return nil, err } // 創(chuàng)建服務(wù)發(fā)現(xiàn)Client clientset.DiscoveryClient, err = discovery.NewDiscoveryClientForConfig(&configShallowCopy) if err != nil { glog.Errorf("failed to create the DiscoveryClient: %v", err) return nil, err } return &clientset, nil }
上面的各種客戶端實(shí)際就是api rest請(qǐng)求的客戶端。
RunKubelet上面的各類創(chuàng)建及初始化完之后,便進(jìn)入下一步驟RunKubelet:
func RunKubelet(kcfg *KubeletConfig) error { ... // k8s event對(duì)象創(chuàng)建,用于kubelet向APIServer發(fā)送管理容器相關(guān)的各類events // 后面會(huì)多帶帶介紹k8s events功能,這里不再展開細(xì)講 eventBroadcaster := record.NewBroadcaster() kcfg.Recorder = eventBroadcaster.NewRecorder(api.EventSource{Component: "kubelet", Host: kcfg.NodeName}) eventBroadcaster.StartLogging(glog.V(3).Infof) if kcfg.EventClient != nil { glog.V(4).Infof("Sending events to api server.") eventBroadcaster.StartRecordingToSink(&unversionedcore.EventSinkImpl{Interface: kcfg.EventClient.Events("")}) } else { glog.Warning("No api server defined - no events will be sent to API server.") } // 配置capabilities privilegedSources := capabilities.PrivilegedSources{ HostNetworkSources: kcfg.HostNetworkSources, HostPIDSources: kcfg.HostPIDSources, HostIPCSources: kcfg.HostIPCSources, } capabilities.Setup(kcfg.AllowPrivileged, privilegedSources, 0) credentialprovider.SetPreferredDockercfgPath(kcfg.RootDirectory) // 調(diào)用CreateAndInitKubelet()接口,進(jìn)行各類初始化 builder := kcfg.Builder if builder == nil { builder = CreateAndInitKubelet } if kcfg.OSInterface == nil { kcfg.OSInterface = kubecontainer.RealOS{} } k, podCfg, err := builder(kcfg) if err != nil { return fmt.Errorf("failed to create kubelet: %v", err) } // 設(shè)置kubelet進(jìn)程自身最大能打開的文件句柄數(shù) util.ApplyRLimitForSelf(kcfg.MaxOpenFiles) // TODO(dawnchen): remove this once we deprecated old debian containervm images. // This is a workaround for issue: https://github.com/opencontainers/runc/issues/726 // The current chosen number is consistent with most of other os dist. const maxkeysPath = "/proc/sys/kernel/keys/root_maxkeys" const minKeys uint64 = 1000000 key, err := ioutil.ReadFile(maxkeysPath) if err != nil { glog.Errorf("Cannot read keys quota in %s", maxkeysPath) } else { fields := strings.Fields(string(key)) nkey, _ := strconv.ParseUint(fields[0], 10, 64) if nkey < minKeys { glog.Infof("Setting keys quota in %s to %d", maxkeysPath, minKeys) err = ioutil.WriteFile(maxkeysPath, []byte(fmt.Sprintf("%d", uint64(minKeys))), 0644) if err != nil { glog.Warningf("Failed to update %s: %v", maxkeysPath, err) } } } const maxbytesPath = "/proc/sys/kernel/keys/root_maxbytes" const minBytes uint64 = 25000000 bytes, err := ioutil.ReadFile(maxbytesPath) if err != nil { glog.Errorf("Cannot read keys bytes in %s", maxbytesPath) } else { fields := strings.Fields(string(bytes)) nbyte, _ := strconv.ParseUint(fields[0], 10, 64) if nbyte < minBytes { glog.Infof("Setting keys bytes in %s to %d", maxbytesPath, minBytes) err = ioutil.WriteFile(maxbytesPath, []byte(fmt.Sprintf("%d", uint64(minBytes))), 0644) if err != nil { glog.Warningf("Failed to update %s: %v", maxbytesPath, err) } } } // kubelet可以只運(yùn)行一次,也可以作為一個(gè)后臺(tái)daemon一直運(yùn)行 // 一次運(yùn)行的話,就是Runonce,處理下pods事件然后退出 // 一直運(yùn)行的話,就是startKubelet() // process pods and exit. if kcfg.Runonce { if _, err := k.RunOnce(podCfg.Updates()); err != nil { return fmt.Errorf("runonce failed: %v", err) } glog.Infof("Started kubelet %s as runonce", version.Get().String()) } else { // 進(jìn)入關(guān)鍵函數(shù)startKubelet() startKubelet(k, podCfg, kcfg) glog.Infof("Started kubelet %s", version.Get().String()) } return nil }
該接口中會(huì)調(diào)用CreateAndInitKubelet()接口再進(jìn)行初始化,其中又調(diào)用了kubelet.NewMainKubelet()接口。
kubelet可以只運(yùn)行一次,也可以后臺(tái)一直運(yùn)行。要一直運(yùn)行的話就是調(diào)用startKubelet()。
我們先看下初始化接口干了些什么?
func CreateAndInitKubelet(kc *KubeletConfig) (k KubeletBootstrap, pc *config.PodConfig, err error) { // TODO: block until all sources have delivered at least one update to the channel, or break the sync loop // up into "per source" synchronizations // TODO: KubeletConfig.KubeClient should be a client interface, but client interface misses certain methods // used by kubelet. Since NewMainKubelet expects a client interface, we need to make sure we are not passing // a nil pointer to it when what we really want is a nil interface. var kubeClient clientset.Interface if kc.KubeClient != nil { kubeClient = kc.KubeClient // TODO: remove this when we"ve refactored kubelet to only use clientset. } // 初始化container GC參數(shù) gcPolicy := kubecontainer.ContainerGCPolicy{ MinAge: kc.MinimumGCAge, MaxPerPodContainer: kc.MaxPerPodContainerCount, MaxContainers: kc.MaxContainerCount, } // 配置kubelet server的端口, default: 10250 daemonEndpoints := &api.NodeDaemonEndpoints{ KubeletEndpoint: api.DaemonEndpoint{Port: int32(kc.Port)}, } // 創(chuàng)建PodConfig pc = kc.PodConfig if pc == nil { // kubelet支持三種數(shù)據(jù)源: file、HTTP URL、k8s APIServer // 默認(rèn)是k8s APIServer,這里還會(huì)涉及到cache,可以深入學(xué)習(xí)下具體實(shí)現(xiàn) pc = makePodSourceConfig(kc) } // k, err = kubelet.NewMainKubelet( kc.Hostname, kc.NodeName, kc.DockerClient, kubeClient, 。。。 ) if err != nil { return nil, nil, err } k.BirthCry() k.StartGarbageCollection() return k, pc, nil }
初始化接口中還有一層調(diào)用:kubelet.NewMainKubelet(),該接口在1.3中是N多參數(shù),并且函數(shù)實(shí)現(xiàn)也是很長(zhǎng)很長(zhǎng),寫的非常不友好,不過看了下新版本已經(jīng)重寫過了。我們還是拿這個(gè)又長(zhǎng)又胖的接口,繼續(xù)了解下:
func NewMainKubelet( hostname string, nodeName string, 。。。 ) (*Kubelet, error) { 。。。 // 創(chuàng)建service的cache.NewStore, 設(shè)置service的監(jiān)聽函數(shù)listWatch,并設(shè)置對(duì)應(yīng)的反射NewReflector,然后設(shè)置serviceLister serviceStore := cache.NewStore(cache.MetaNamespaceKeyFunc) if kubeClient != nil { // TODO: cache.NewListWatchFromClient is limited as it takes a client implementation rather // than an interface. There is no way to construct a list+watcher using resource name. listWatch := &cache.ListWatch{ ListFunc: func(options api.ListOptions) (runtime.Object, error) { return kubeClient.Core().Services(api.NamespaceAll).List(options) }, WatchFunc: func(options api.ListOptions) (watch.Interface, error) { return kubeClient.Core().Services(api.NamespaceAll).Watch(options) }, } cache.NewReflector(listWatch, &api.Service{}, serviceStore, 0).Run() } serviceLister := &cache.StoreToServiceLister{Store: serviceStore} // 創(chuàng)建node的cache.NewStore, 設(shè)置fieldSelector,設(shè)置監(jiān)聽函數(shù)listWatch,設(shè)置對(duì)應(yīng)的反射NewReflector,并設(shè)置nodeLister,nodeInfo和nodeRef nodeStore := cache.NewStore(cache.MetaNamespaceKeyFunc) if kubeClient != nil { // TODO: cache.NewListWatchFromClient is limited as it takes a client implementation rather // than an interface. There is no way to construct a list+watcher using resource name. fieldSelector := fields.Set{api.ObjectNameField: nodeName}.AsSelector() listWatch := &cache.ListWatch{ ListFunc: func(options api.ListOptions) (runtime.Object, error) { options.FieldSelector = fieldSelector return kubeClient.Core().Nodes().List(options) }, WatchFunc: func(options api.ListOptions) (watch.Interface, error) { options.FieldSelector = fieldSelector return kubeClient.Core().Nodes().Watch(options) }, } cache.NewReflector(listWatch, &api.Node{}, nodeStore, 0).Run() } nodeLister := &cache.StoreToNodeLister{Store: nodeStore} nodeInfo := &predicates.CachedNodeInfo{StoreToNodeLister: nodeLister} // TODO: get the real node object of ourself, // and use the real node name and UID. // TODO: what is namespace for node? nodeRef := &api.ObjectReference{ Kind: "Node", Name: nodeName, UID: types.UID(nodeName), Namespace: "", } // 創(chuàng)建磁盤空間管理對(duì)象,該對(duì)象需要使用cAdvisor的接口來(lái)獲取磁盤相關(guān)信息 // 最后一個(gè)參數(shù)便是配置磁盤管理的Policy diskSpaceManager, err := newDiskSpaceManager(cadvisorInterface, diskSpacePolicy) if err != nil { return nil, fmt.Errorf("failed to initialize disk manager: %v", err) } // 創(chuàng)建一個(gè)空的container reference manager對(duì)象 containerRefManager := kubecontainer.NewRefManager() // 創(chuàng)建OOM 監(jiān)控對(duì)象,使用cAdvisor接口監(jiān)控內(nèi)存,并使用event recorder上報(bào)oom事件 oomWatcher := NewOOMWatcher(cadvisorInterface, recorder) // TODO: remove when internal cbr0 implementation gets removed in favor // of the kubenet network plugin if networkPluginName == "kubenet" { configureCBR0 = false flannelExperimentalOverlay = false } // 初始化Kubelet klet := &Kubelet{ hostname: hostname, nodeName: nodeName, 。。。 } ... procFs := procfs.NewProcFS() imageBackOff := flowcontrol.NewBackOff(backOffPeriod, MaxContainerBackOff) klet.livenessManager = proberesults.NewManager() // 初始化pod的cache和manager對(duì)象 klet.podCache = kubecontainer.NewCache() klet.podManager = kubepod.NewBasicPodManager(kubepod.NewBasicMirrorClient(klet.kubeClient)) // 初始化Docker container Runtime switch containerRuntime { case "docker": // dockerClient就是之后會(huì)介紹,就是kubelet用于操作docker的client // recorder: 即之前創(chuàng)建的event recorder // 還會(huì)有各類物理機(jī)信息,pull images的QPS等等參數(shù) // 具體可以了解下DockerManager結(jié)構(gòu) // Only supported one for now, continue. klet.containerRuntime = dockertools.NewDockerManager( dockerClient, kubecontainer.FilterEventRecorder(recorder), klet.livenessManager, containerRefManager, klet.podManager, machineInfo, podInfraContainerImage, pullQPS, pullBurst, containerLogsDir, osInterface, klet.networkPlugin, klet, klet.httpClient, dockerExecHandler, oomAdjuster, procFs, klet.cpuCFSQuota, imageBackOff, serializeImagePulls, enableCustomMetrics, klet.hairpinMode == componentconfig.HairpinVeth, seccompProfileRoot, containerRuntimeOptions..., ) case "rkt": ... default: return nil, fmt.Errorf("unsupported container runtime %q specified", containerRuntime) } ... // 設(shè)置containerGC containerGC, err := kubecontainer.NewContainerGC(klet.containerRuntime, containerGCPolicy) if err != nil { return nil, err } klet.containerGC = containerGC // 設(shè)置imageManager imageManager, err := newImageManager(klet.containerRuntime, cadvisorInterface, recorder, nodeRef, imageGCPolicy) if err != nil { return nil, fmt.Errorf("failed to initialize image manager: %v", err) } klet.imageManager = imageManager klet.runner = klet.containerRuntime // 設(shè)置statusManager klet.statusManager = status.NewManager(kubeClient, klet.podManager) // 設(shè)置probeManager klet.probeManager = prober.NewManager( klet.statusManager, klet.livenessManager, klet.runner, containerRefManager, recorder) klet.volumePluginMgr, err = NewInitializedVolumePluginMgr(klet, volumePlugins) if err != nil { return nil, err } // 設(shè)置volumeManager klet.volumeManager, err = kubeletvolume.NewVolumeManager( enableControllerAttachDetach, hostname, klet.podManager, klet.kubeClient, klet.volumePluginMgr, klet.containerRuntime) // 創(chuàng)建runtime Cache對(duì)象 runtimeCache, err := kubecontainer.NewRuntimeCache(klet.containerRuntime) if err != nil { return nil, err } klet.runtimeCache = runtimeCache klet.reasonCache = NewReasonCache() klet.workQueue = queue.NewBasicWorkQueue(klet.clock) // 創(chuàng)建podWorkers對(duì)象,這個(gè)比較關(guān)鍵,后面會(huì)多帶帶介紹 klet.podWorkers = newPodWorkers(klet.syncPod, recorder, klet.workQueue, klet.resyncInterval, backOffPeriod, klet.podCache) klet.backOff = flowcontrol.NewBackOff(backOffPeriod, MaxContainerBackOff) klet.podKillingCh = make(chan *kubecontainer.PodPair, podKillingChannelCapacity) klet.setNodeStatusFuncs = klet.defaultNodeStatusFuncs() // 設(shè)置eviction manager evictionManager, evictionAdmitHandler, err := eviction.NewManager(klet.resourceAnalyzer, evictionConfig, killPodNow(klet.podWorkers), recorder, nodeRef, klet.clock) if err != nil { return nil, fmt.Errorf("failed to initialize eviction manager: %v", err) } klet.evictionManager = evictionManager klet.AddPodAdmitHandler(evictionAdmitHandler) // apply functional Option"s for _, opt := range kubeOptions { opt(klet) } return klet, nil }
該接口中,會(huì)創(chuàng)建podWorkers,該對(duì)象比較重要,跟pod的實(shí)際操作有關(guān),后面會(huì)多帶帶進(jìn)行介紹。這里先只點(diǎn)到為止。
我們回想下整個(gè)流程就會(huì)發(fā)現(xiàn),cmd/kubelet/app主要就是做一些簡(jiǎn)單的參數(shù)處理,具體的初始化都是在pkg/kubelet中做的。
看完初始化,我們要進(jìn)入真正運(yùn)行的接口startKubelet():
func startKubelet(k KubeletBootstrap, podCfg *config.PodConfig, kc *KubeletConfig) { // 這里是真正的啟動(dòng)kubelet go wait.Until(func() { k.Run(podCfg.Updates()) }, 0, wait.NeverStop) // 這里是開啟kubelet Server,便于調(diào)用kubelet的API進(jìn)行操作 if kc.EnableServer { go wait.Until(func() { k.ListenAndServe(kc.Address, kc.Port, kc.TLSOptions, kc.Auth, kc.EnableDebuggingHandlers) }, 0, wait.NeverStop) } // 該處是開啟kubelet的只讀服務(wù),端口是10255 if kc.ReadOnlyPort > 0 { go wait.Until(func() { k.ListenAndServeReadOnly(kc.Address, kc.ReadOnlyPort) }, 0, wait.NeverStop) } }
繼續(xù)深入,進(jìn)入到真正啟動(dòng)kubelet的接口k.Run(),這個(gè)里的k是個(gè)KubeletBootstrap類型的interface,實(shí)際對(duì)象是由CreateAndInitKubelet()接口返回的Kubelet對(duì)象,所以Run()實(shí)現(xiàn)可以查看該對(duì)象的實(shí)現(xiàn)。
具體實(shí)現(xiàn)路徑:pkg/kubelet/kubelet.go,接口如下:
func (kl *Kubelet) Run(updates <-chan kubetypes.PodUpdate) { // 開啟日志服務(wù) if kl.logServer == nil { kl.logServer = http.StripPrefix("/logs/", http.FileServer(http.Dir("/var/log/"))) } if kl.kubeClient == nil { glog.Warning("No api server defined - no node status update will be sent.") } // init modulers,如imageManager、containerManager、oomWathcer、resourceAnalyzer if err := kl.initializeModules(); err != nil { kl.recorder.Eventf(kl.nodeRef, api.EventTypeWarning, kubecontainer.KubeletSetupFailed, err.Error()) glog.Error(err) kl.runtimeState.setInitError(err) } // Start volume manager go kl.volumeManager.Run(wait.NeverStop) // 起協(xié)程,定時(shí)向APIServer更新node status if kl.kubeClient != nil { // Start syncing node status immediately, this may set up things the runtime needs to run. go wait.Until(kl.syncNodeStatus, kl.nodeStatusUpdateFrequency, wait.NeverStop) } // 起協(xié)程,定時(shí)同步網(wǎng)絡(luò)狀態(tài) go wait.Until(kl.syncNetworkStatus, 30*time.Second, wait.NeverStop) go wait.Until(kl.updateRuntimeUp, 5*time.Second, wait.NeverStop) // Start a goroutine responsible for killing pods (that are not properly // handled by pod workers). // 起協(xié)程,定時(shí)處理那些被killing pods go wait.Until(kl.podKiller, 1*time.Second, wait.NeverStop) // Start component sync loops. kl.statusManager.Start() kl.probeManager.Start() // 啟動(dòng)evictionManager kl.evictionManager.Start(kl.getActivePods, evictionMonitoringPeriod) // Start the pod lifecycle event generator. kl.pleg.Start() // 開啟pods事件,用于處理APIServer下發(fā)的任務(wù),updates是一個(gè)管道 kl.syncLoop(updates, kl) } func (kl *Kubelet) initializeModules() error { // Step 1: Promethues metrics. metrics.Register(kl.runtimeCache) // Step 2: Setup filesystem directories. if err := kl.setupDataDirs(); err != nil { return err } // Step 3: If the container logs directory does not exist, create it. if _, err := os.Stat(containerLogsDir); err != nil { if err := kl.os.MkdirAll(containerLogsDir, 0755); err != nil { glog.Errorf("Failed to create directory %q: %v", containerLogsDir, err) } } // Step 4: Start the image manager. if err := kl.imageManager.Start(); err != nil { return fmt.Errorf("Failed to start ImageManager, images may not be garbage collected: %v", err) } // Step 5: Start container manager. if err := kl.containerManager.Start(); err != nil { return fmt.Errorf("Failed to start ContainerManager %v", err) } // Step 6: Start out of memory watcher. if err := kl.oomWatcher.Start(kl.nodeRef); err != nil { return fmt.Errorf("Failed to start OOM watcher %v", err) } // Step 7: Start resource analyzer kl.resourceAnalyzer.Start() return nil }
到這里基本就結(jié)束了,學(xué)習(xí)源碼的過程中會(huì)發(fā)現(xiàn)很多點(diǎn)值得深入研究,比如:
dockerclient
podWorkers
podManager
cAdvisor
containerGC
imageManager
diskSpaceManager
statusManager
volumeManager
containerRuntime
kubelet cache
events recorder
Eviction Manager
kubelet如何收到APIServer任務(wù),創(chuàng)建pod的流程
等等。。
后面會(huì)繼續(xù)挑一些關(guān)鍵點(diǎn)進(jìn)行分析。
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