Kā darbojas kubectl exec?

PiezÄ«me. tulk.: raksta autors - SAP inženieris Erkans Erols - dalās ar savu pētÄ«jumu par komandas darbÄ«bas mehānismiem kubectl exec, tik pazÄ«stams visiem, kas strādā ar Kubernetes. ViņŔ pavada visu algoritmu ar Kubernetes pirmkoda (un saistÄ«to projektu) sarakstiem, kas ļauj izprast tēmu tik dziļi, cik nepiecieÅ”ams.

Kā darbojas kubectl exec?

Kādu piektdienu pie manis pienāca kolēģis un jautāja, kā izpildÄ«t komandu podā, izmantojot klients aiziet. Es nevarēju viņam atbildēt un pēkŔņi sapratu, ka neko nezinu par darbÄ«bas mehānismu kubectl exec. Jā, man bija zināmi priekÅ”stati par tās struktÅ«ru, taču nebiju 100% pārliecināts par to pareizÄ«bu un tāpēc nolēmu Å”o jautājumu risināt. Izpētot emuārus, dokumentāciju un pirmkodu, es uzzināju daudz jauna, un Å”ajā rakstā vēlos dalÄ«ties ar saviem atklājumiem un izpratni. Ja kaut kas nav kārtÄ«bā, lÅ«dzu, sazinieties ar mani pa tālr Twitter.

TreniņŔ

Lai izveidotu kopu MacBook datorā, es klonēju ecomm-integration-ballerina/kubernetes-cluster. Pēc tam es izlaboju mezglu IP adreses kubelet konfigurācijā, jo noklusējuma iestatÄ«jumi neļāva kubectl exec. JÅ«s varat lasÄ«t vairāk par galveno iemeslu Å”eit.

  • Jebkura automaŔīna = mans MacBook
  • Galvenā mezgla IP = 192.168.205.10
  • Darbinieka mezgla IP = 192.168.205.11
  • API servera ports = 6443

Komponenti

Kā darbojas kubectl exec?

  • kubectl exec process: Kad mēs izpildām ā€œkubectl exec...ā€, process tiek sākts. To var izdarÄ«t jebkurā datorā ar piekļuvi K8s API serverim. PiezÄ«me Tulk.: Tālāk konsoles sarakstos autors izmanto komentāru ā€œjebkura maŔīnaā€, kas nozÄ«mē, ka turpmākās komandas var izpildÄ«t jebkurā Ŕādā iekārtā ar piekļuvi Kubernetes.
  • api serveris: galvenā mezgla komponents, kas nodroÅ”ina piekļuvi Kubernetes API. Å Ä« ir Kubernetes vadÄ«bas plaknes priekÅ”gals.
  • kubelet: aÄ£ents, kas darbojas katrā klastera mezglā. Tas nodroÅ”ina konteineru darbÄ«bu podā.
  • konteinera izpildlaiks (konteinera izpildlaiks): programmatÅ«ra, kas ir atbildÄ«ga par konteineru darbināŔanu. Piemēri: Docker, CRI-O, konteineriā€¦
  • kodols: OS kodols darbinieka mezglā; ir atbildÄ«gs par procesu vadÄ«bu.
  • mērÄ·is (mērÄ·is) konteiners: konteiners, kas ir daļa no pod un darbojas vienā no darbinieka mezgliem.

Ko es atklāju

1. Klienta puses darbība

Izveidojiet aplikumu nosaukumvietā default:

// any machine
$ kubectl run exec-test-nginx --image=nginx

Pēc tam izpildām komandu exec un gaidām 5000 sekundes turpmākiem novērojumiem:

// any machine
$ kubectl exec -it exec-test-nginx-6558988d5-fgxgg -- sh
# sleep 5000

Parādās kubectl process (mūsu gadījumā ar pid = 8507):

// any machine
$ ps -ef |grep kubectl
501  8507  8409   0  7:19PM ttys000    0:00.13 kubectl exec -it exec-test-nginx-6558988d5-fgxgg -- sh

Ja mēs pārbaudām procesa tīkla darbību, mēs atklāsim, ka tam ir savienojumi ar api-serveri (192.168.205.10.6443):

// any machine
$ netstat -atnv |grep 8507
tcp4       0      0  192.168.205.1.51673    192.168.205.10.6443    ESTABLISHED 131072 131768   8507      0 0x0102 0x00000020
tcp4       0      0  192.168.205.1.51672    192.168.205.10.6443    ESTABLISHED 131072 131768   8507      0 0x0102 0x00000028

Apskatīsim kodu. Kubectl izveido POST pieprasījumu ar exec apakŔresursu un nosūta REST pieprasījumu:

              req := restClient.Post().
                        Resource("pods").
                        Name(pod.Name).
                        Namespace(pod.Namespace).
                        SubResource("exec")
                req.VersionedParams(&corev1.PodExecOptions{
                        Container: containerName,
                        Command:   p.Command,
                        Stdin:     p.Stdin,
                        Stdout:    p.Out != nil,
                        Stderr:    p.ErrOut != nil,
                        TTY:       t.Raw,
                }, scheme.ParameterCodec)

                return p.Executor.Execute("POST", req.URL(), p.Config, p.In, p.Out, p.ErrOut, t.Raw, sizeQueue)

(kubectl/pkg/cmd/exec/exec.go)

Kā darbojas kubectl exec?

2. Aktivitāte galvenā mezgla pusē

Mēs varam arī novērot pieprasījumu api servera pusē:

handler.go:143] kube-apiserver: POST "/api/v1/namespaces/default/pods/exec-test-nginx-6558988d5-fgxgg/exec" satisfied by gorestful with webservice /api/v1
upgradeaware.go:261] Connecting to backend proxy (intercepting redirects) https://192.168.205.11:10250/exec/default/exec-test-nginx-6558988d5-fgxgg/exec-test-nginx?command=sh&input=1&output=1&tty=1
Headers: map[Connection:[Upgrade] Content-Length:[0] Upgrade:[SPDY/3.1] User-Agent:[kubectl/v1.12.10 (darwin/amd64) kubernetes/e3c1340] X-Forwarded-For:[192.168.205.1] X-Stream-Protocol-Version:[v4.channel.k8s.io v3.channel.k8s.io v2.channel.k8s.io channel.k8s.io]]

Ņemiet vērā, ka HTTP pieprasÄ«jums ietver pieprasÄ«jumu mainÄ«t protokolu. SPDY ļauj multipleksēt atseviŔķas stdin/stdout/stderr/spdy-error "straumes", izmantojot vienu TCP savienojumu.

API serveris saņem pieprasÄ«jumu un pārvērÅ” to par PodExecOptions:

// PodExecOptions is the query options to a Pod's remote exec call
type PodExecOptions struct {
        metav1.TypeMeta

        // Stdin if true indicates that stdin is to be redirected for the exec call
        Stdin bool

        // Stdout if true indicates that stdout is to be redirected for the exec call
        Stdout bool

        // Stderr if true indicates that stderr is to be redirected for the exec call
        Stderr bool

        // TTY if true indicates that a tty will be allocated for the exec call
        TTY bool

        // Container in which to execute the command.
        Container string

        // Command is the remote command to execute; argv array; not executed within a shell.
        Command []string
}

(pkg/apis/core/types.go)

Lai veiktu nepiecieŔamās darbības, api-serverim ir jāzina, ar kuru pod tam ir jāsazinās:

// ExecLocation returns the exec URL for a pod container. If opts.Container is blank
// and only one container is present in the pod, that container is used.
func ExecLocation(
        getter ResourceGetter,
        connInfo client.ConnectionInfoGetter,
        ctx context.Context,
        name string,
        opts *api.PodExecOptions,
) (*url.URL, http.RoundTripper, error) {
        return streamLocation(getter, connInfo, ctx, name, opts, opts.Container, "exec")
}

(pkg/registry/core/pod/strategy.go)

Protams, dati par galapunktu tiek ņemti no informācijas par mezglu:

        nodeName := types.NodeName(pod.Spec.NodeName)
        if len(nodeName) == 0 {
                // If pod has not been assigned a host, return an empty location
                return nil, nil, errors.NewBadRequest(fmt.Sprintf("pod %s does not have a host assigned", name))
        }
        nodeInfo, err := connInfo.GetConnectionInfo(ctx, nodeName)

(pkg/registry/core/pod/strategy.go)

Urrā! Kubelet tagad ir ports (node.Status.DaemonEndpoints.KubeletEndpoint.Port), ar kuru API serveris var izveidot savienojumu:

// GetConnectionInfo retrieves connection info from the status of a Node API object.
func (k *NodeConnectionInfoGetter) GetConnectionInfo(ctx context.Context, nodeName types.NodeName) (*ConnectionInfo, error) {
        node, err := k.nodes.Get(ctx, string(nodeName), metav1.GetOptions{})
        if err != nil {
                return nil, err
        }

        // Find a kubelet-reported address, using preferred address type
        host, err := nodeutil.GetPreferredNodeAddress(node, k.preferredAddressTypes)
        if err != nil {
                return nil, err
        }

        // Use the kubelet-reported port, if present
        port := int(node.Status.DaemonEndpoints.KubeletEndpoint.Port)
        if port <= 0 {
                port = k.defaultPort
        }

        return &ConnectionInfo{
                Scheme:    k.scheme,
                Hostname:  host,
                Port:      strconv.Itoa(port),
                Transport: k.transport,
        }, nil
}

(pkg/kubelet/client/kubelet_client.go)

No dokumentācijas Galvenā mezgla komunikācija > no galvenā uz kopu > apiserveris uz kubelet:

Å ie savienojumi tiek izveidoti ar kubelet HTTPS galapunktu. Pēc noklusējuma apiserver nepārbauda kubelet sertifikātu, kas padara savienojumu neaizsargātu pret MITM (man-in-the-middle) uzbrukumiem un nedroÅ”s par darbu neuzticamos un/vai publiskos tÄ«klos.

Tagad API serveris zina galapunktu un izveido savienojumu:

// Connect returns a handler for the pod exec proxy
func (r *ExecREST) Connect(ctx context.Context, name string, opts runtime.Object, responder rest.Responder) (http.Handler, error) {
        execOpts, ok := opts.(*api.PodExecOptions)
        if !ok {
                return nil, fmt.Errorf("invalid options object: %#v", opts)
        }
        location, transport, err := pod.ExecLocation(r.Store, r.KubeletConn, ctx, name, execOpts)
        if err != nil {
                return nil, err
        }
        return newThrottledUpgradeAwareProxyHandler(location, transport, false, true, true, responder), nil
}

(pkg/registry/core/pod/rest/subresources.go)

Apskatīsim, kas notiek galvenajā mezglā.

Pirmkārt, mēs noskaidrojam darbinieka mezgla IP. Mūsu gadījumā tas ir 192.168.205.11:

// any machine
$ kubectl get nodes k8s-node-1 -o wide
NAME         STATUS   ROLES    AGE   VERSION   INTERNAL-IP      EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION      CONTAINER-RUNTIME
k8s-node-1   Ready    <none>   9h    v1.15.3   192.168.205.11   <none>        Ubuntu 16.04.6 LTS   4.4.0-159-generic   docker://17.3.3

Pēc tam iestatiet kubelet portu (mūsu gadījumā 10250):

// any machine
$ kubectl get nodes k8s-node-1 -o jsonpath='{.status.daemonEndpoints.kubeletEndpoint}'
map[Port:10250]

Tagad ir pienācis laiks pārbaudīt tīklu. Vai ir savienojums ar darbinieka mezglu (192.168.205.11)? Tas ir! Ja nokauj procesu exec, tas pazudīs, tāpēc es zinu, ka savienojumu izveidoja api-serveris izpildītās komandas exec rezultātā.

// master node
$ netstat -atn |grep 192.168.205.11
tcp        0      0 192.168.205.10:37870    192.168.205.11:10250    ESTABLISHED
ā€¦

Kā darbojas kubectl exec?

Savienojums starp kubectl un api-serveri joprojām ir atvērts. Turklāt ir vēl viens savienojums, kas savieno api-serveri un kubelet.

3. Darbinieka mezgla darbība

Tagad izveidosim savienojumu ar darbinieka mezglu un redzēsim, kas tajā notiek.

Pirmkārt, mēs redzam, ka arī savienojums ar to ir izveidots (otrā rinda); 192.168.205.10 ir galvenā mezgla IP:

 // worker node
  $ netstat -atn |grep 10250
  tcp6       0      0 :::10250                :::*                    LISTEN
  tcp6       0      0 192.168.205.11:10250    192.168.205.10:37870    ESTABLISHED

Kas par mūsu komandu sleep? Urā, viņa arī tur ir!

 // worker node
  $ ps -afx
  ...
  31463 ?        Sl     0:00      _ docker-containerd-shim 7d974065bbb3107074ce31c51f5ef40aea8dcd535ae11a7b8f2dd180b8ed583a /var/run/docker/libcontainerd/7d974065bbb3107074ce31c51
  31478 pts/0    Ss     0:00          _ sh
  31485 pts/0    S+     0:00              _ sleep 5000
  ā€¦

Bet pagaidiet: kā Kubelet to panāca? Kubelet ir dēmons, kas nodroÅ”ina piekļuvi API, izmantojot api servera pieprasÄ«jumu portu:

// Server is the library interface to serve the stream requests.
type Server interface {
        http.Handler

        // Get the serving URL for the requests.
        // Requests must not be nil. Responses may be nil iff an error is returned.
        GetExec(*runtimeapi.ExecRequest) (*runtimeapi.ExecResponse, error)
        GetAttach(req *runtimeapi.AttachRequest) (*runtimeapi.AttachResponse, error)
        GetPortForward(*runtimeapi.PortForwardRequest) (*runtimeapi.PortForwardResponse, error)

        // Start the server.
        // addr is the address to serve on (address:port) stayUp indicates whether the server should
        // listen until Stop() is called, or automatically stop after all expected connections are
        // closed. Calling Get{Exec,Attach,PortForward} increments the expected connection count.
        // Function does not return until the server is stopped.
        Start(stayUp bool) error
        // Stop the server, and terminate any open connections.
        Stop() error
}

(pkg/kubelet/server/streaming/server.go)

Kubelet aprēķina atbildes galapunktu izpildes pieprasījumiem:

func (s *server) GetExec(req *runtimeapi.ExecRequest) (*runtimeapi.ExecResponse, error) {
        if err := validateExecRequest(req); err != nil {
                return nil, err
        }
        token, err := s.cache.Insert(req)
        if err != nil {
                return nil, err
        }
        return &runtimeapi.ExecResponse{
                Url: s.buildURL("exec", token),
        }, nil
}

(pkg/kubelet/server/streaming/server.go)

Nevajag apjukt. Tas neatgriež komandas rezultātu, bet gan saziņas beigu punktu:

type ExecResponse struct {
        // Fully qualified URL of the exec streaming server.
        Url                  string   `protobuf:"bytes,1,opt,name=url,proto3" json:"url,omitempty"`
        XXX_NoUnkeyedLiteral struct{} `json:"-"`
        XXX_sizecache        int32    `json:"-"`
}

(cri-api/pkg/apis/runtime/v1alpha2/api.pb.go)

Kubelet ievieÅ” saskarni RuntimeServiceClient, kas ir daļa no konteinera izpildlaika saskarnes (mēs par to rakstÄ«jām vairāk, piemēram, Å”eit ā€” apm. tulk.):

GarÅ” saraksts no cri-api kubernetes/kubernetes

// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type RuntimeServiceClient interface {
        // Version returns the runtime name, runtime version, and runtime API version.
        Version(ctx context.Context, in *VersionRequest, opts ...grpc.CallOption) (*VersionResponse, error)
        // RunPodSandbox creates and starts a pod-level sandbox. Runtimes must ensure
        // the sandbox is in the ready state on success.
        RunPodSandbox(ctx context.Context, in *RunPodSandboxRequest, opts ...grpc.CallOption) (*RunPodSandboxResponse, error)
        // StopPodSandbox stops any running process that is part of the sandbox and
        // reclaims network resources (e.g., IP addresses) allocated to the sandbox.
        // If there are any running containers in the sandbox, they must be forcibly
        // terminated.
        // This call is idempotent, and must not return an error if all relevant
        // resources have already been reclaimed. kubelet will call StopPodSandbox
        // at least once before calling RemovePodSandbox. It will also attempt to
        // reclaim resources eagerly, as soon as a sandbox is not needed. Hence,
        // multiple StopPodSandbox calls are expected.
        StopPodSandbox(ctx context.Context, in *StopPodSandboxRequest, opts ...grpc.CallOption) (*StopPodSandboxResponse, error)
        // RemovePodSandbox removes the sandbox. If there are any running containers
        // in the sandbox, they must be forcibly terminated and removed.
        // This call is idempotent, and must not return an error if the sandbox has
        // already been removed.
        RemovePodSandbox(ctx context.Context, in *RemovePodSandboxRequest, opts ...grpc.CallOption) (*RemovePodSandboxResponse, error)
        // PodSandboxStatus returns the status of the PodSandbox. If the PodSandbox is not
        // present, returns an error.
        PodSandboxStatus(ctx context.Context, in *PodSandboxStatusRequest, opts ...grpc.CallOption) (*PodSandboxStatusResponse, error)
        // ListPodSandbox returns a list of PodSandboxes.
        ListPodSandbox(ctx context.Context, in *ListPodSandboxRequest, opts ...grpc.CallOption) (*ListPodSandboxResponse, error)
        // CreateContainer creates a new container in specified PodSandbox
        CreateContainer(ctx context.Context, in *CreateContainerRequest, opts ...grpc.CallOption) (*CreateContainerResponse, error)
        // StartContainer starts the container.
        StartContainer(ctx context.Context, in *StartContainerRequest, opts ...grpc.CallOption) (*StartContainerResponse, error)
        // StopContainer stops a running container with a grace period (i.e., timeout).
        // This call is idempotent, and must not return an error if the container has
        // already been stopped.
        // TODO: what must the runtime do after the grace period is reached?
        StopContainer(ctx context.Context, in *StopContainerRequest, opts ...grpc.CallOption) (*StopContainerResponse, error)
        // RemoveContainer removes the container. If the container is running, the
        // container must be forcibly removed.
        // This call is idempotent, and must not return an error if the container has
        // already been removed.
        RemoveContainer(ctx context.Context, in *RemoveContainerRequest, opts ...grpc.CallOption) (*RemoveContainerResponse, error)
        // ListContainers lists all containers by filters.
        ListContainers(ctx context.Context, in *ListContainersRequest, opts ...grpc.CallOption) (*ListContainersResponse, error)
        // ContainerStatus returns status of the container. If the container is not
        // present, returns an error.
        ContainerStatus(ctx context.Context, in *ContainerStatusRequest, opts ...grpc.CallOption) (*ContainerStatusResponse, error)
        // UpdateContainerResources updates ContainerConfig of the container.
        UpdateContainerResources(ctx context.Context, in *UpdateContainerResourcesRequest, opts ...grpc.CallOption) (*UpdateContainerResourcesResponse, error)
        // ReopenContainerLog asks runtime to reopen the stdout/stderr log file
        // for the container. This is often called after the log file has been
        // rotated. If the container is not running, container runtime can choose
        // to either create a new log file and return nil, or return an error.
        // Once it returns error, new container log file MUST NOT be created.
        ReopenContainerLog(ctx context.Context, in *ReopenContainerLogRequest, opts ...grpc.CallOption) (*ReopenContainerLogResponse, error)
        // ExecSync runs a command in a container synchronously.
        ExecSync(ctx context.Context, in *ExecSyncRequest, opts ...grpc.CallOption) (*ExecSyncResponse, error)
        // Exec prepares a streaming endpoint to execute a command in the container.
        Exec(ctx context.Context, in *ExecRequest, opts ...grpc.CallOption) (*ExecResponse, error)
        // Attach prepares a streaming endpoint to attach to a running container.
        Attach(ctx context.Context, in *AttachRequest, opts ...grpc.CallOption) (*AttachResponse, error)
        // PortForward prepares a streaming endpoint to forward ports from a PodSandbox.
        PortForward(ctx context.Context, in *PortForwardRequest, opts ...grpc.CallOption) (*PortForwardResponse, error)
        // ContainerStats returns stats of the container. If the container does not
        // exist, the call returns an error.
        ContainerStats(ctx context.Context, in *ContainerStatsRequest, opts ...grpc.CallOption) (*ContainerStatsResponse, error)
        // ListContainerStats returns stats of all running containers.
        ListContainerStats(ctx context.Context, in *ListContainerStatsRequest, opts ...grpc.CallOption) (*ListContainerStatsResponse, error)
        // UpdateRuntimeConfig updates the runtime configuration based on the given request.
        UpdateRuntimeConfig(ctx context.Context, in *UpdateRuntimeConfigRequest, opts ...grpc.CallOption) (*UpdateRuntimeConfigResponse, error)
        // Status returns the status of the runtime.
        Status(ctx context.Context, in *StatusRequest, opts ...grpc.CallOption) (*StatusResponse, error)
}

(cri-api/pkg/apis/runtime/v1alpha2/api.pb.go)
Tas vienkārŔi izmanto gRPC, lai izsauktu metodi, izmantojot konteinera izpildlaika interfeisu:

type runtimeServiceClient struct {
        cc *grpc.ClientConn
}

(cri-api/pkg/apis/runtime/v1alpha2/api.pb.go)

func (c *runtimeServiceClient) Exec(ctx context.Context, in *ExecRequest, opts ...grpc.CallOption) (*ExecResponse, error) {
        out := new(ExecResponse)
        err := c.cc.Invoke(ctx, "/runtime.v1alpha2.RuntimeService/Exec", in, out, opts...)
        if err != nil {
                return nil, err
        }
        return out, nil
}

(cri-api/pkg/apis/runtime/v1alpha2/api.pb.go)

Container Runtime ir atbildīgs par ievieŔanu RuntimeServiceServer:

GarÅ” saraksts no cri-api kubernetes/kubernetes

// RuntimeServiceServer is the server API for RuntimeService service.
type RuntimeServiceServer interface {
        // Version returns the runtime name, runtime version, and runtime API version.
        Version(context.Context, *VersionRequest) (*VersionResponse, error)
        // RunPodSandbox creates and starts a pod-level sandbox. Runtimes must ensure
        // the sandbox is in the ready state on success.
        RunPodSandbox(context.Context, *RunPodSandboxRequest) (*RunPodSandboxResponse, error)
        // StopPodSandbox stops any running process that is part of the sandbox and
        // reclaims network resources (e.g., IP addresses) allocated to the sandbox.
        // If there are any running containers in the sandbox, they must be forcibly
        // terminated.
        // This call is idempotent, and must not return an error if all relevant
        // resources have already been reclaimed. kubelet will call StopPodSandbox
        // at least once before calling RemovePodSandbox. It will also attempt to
        // reclaim resources eagerly, as soon as a sandbox is not needed. Hence,
        // multiple StopPodSandbox calls are expected.
        StopPodSandbox(context.Context, *StopPodSandboxRequest) (*StopPodSandboxResponse, error)
        // RemovePodSandbox removes the sandbox. If there are any running containers
        // in the sandbox, they must be forcibly terminated and removed.
        // This call is idempotent, and must not return an error if the sandbox has
        // already been removed.
        RemovePodSandbox(context.Context, *RemovePodSandboxRequest) (*RemovePodSandboxResponse, error)
        // PodSandboxStatus returns the status of the PodSandbox. If the PodSandbox is not
        // present, returns an error.
        PodSandboxStatus(context.Context, *PodSandboxStatusRequest) (*PodSandboxStatusResponse, error)
        // ListPodSandbox returns a list of PodSandboxes.
        ListPodSandbox(context.Context, *ListPodSandboxRequest) (*ListPodSandboxResponse, error)
        // CreateContainer creates a new container in specified PodSandbox
        CreateContainer(context.Context, *CreateContainerRequest) (*CreateContainerResponse, error)
        // StartContainer starts the container.
        StartContainer(context.Context, *StartContainerRequest) (*StartContainerResponse, error)
        // StopContainer stops a running container with a grace period (i.e., timeout).
        // This call is idempotent, and must not return an error if the container has
        // already been stopped.
        // TODO: what must the runtime do after the grace period is reached?
        StopContainer(context.Context, *StopContainerRequest) (*StopContainerResponse, error)
        // RemoveContainer removes the container. If the container is running, the
        // container must be forcibly removed.
        // This call is idempotent, and must not return an error if the container has
        // already been removed.
        RemoveContainer(context.Context, *RemoveContainerRequest) (*RemoveContainerResponse, error)
        // ListContainers lists all containers by filters.
        ListContainers(context.Context, *ListContainersRequest) (*ListContainersResponse, error)
        // ContainerStatus returns status of the container. If the container is not
        // present, returns an error.
        ContainerStatus(context.Context, *ContainerStatusRequest) (*ContainerStatusResponse, error)
        // UpdateContainerResources updates ContainerConfig of the container.
        UpdateContainerResources(context.Context, *UpdateContainerResourcesRequest) (*UpdateContainerResourcesResponse, error)
        // ReopenContainerLog asks runtime to reopen the stdout/stderr log file
        // for the container. This is often called after the log file has been
        // rotated. If the container is not running, container runtime can choose
        // to either create a new log file and return nil, or return an error.
        // Once it returns error, new container log file MUST NOT be created.
        ReopenContainerLog(context.Context, *ReopenContainerLogRequest) (*ReopenContainerLogResponse, error)
        // ExecSync runs a command in a container synchronously.
        ExecSync(context.Context, *ExecSyncRequest) (*ExecSyncResponse, error)
        // Exec prepares a streaming endpoint to execute a command in the container.
        Exec(context.Context, *ExecRequest) (*ExecResponse, error)
        // Attach prepares a streaming endpoint to attach to a running container.
        Attach(context.Context, *AttachRequest) (*AttachResponse, error)
        // PortForward prepares a streaming endpoint to forward ports from a PodSandbox.
        PortForward(context.Context, *PortForwardRequest) (*PortForwardResponse, error)
        // ContainerStats returns stats of the container. If the container does not
        // exist, the call returns an error.
        ContainerStats(context.Context, *ContainerStatsRequest) (*ContainerStatsResponse, error)
        // ListContainerStats returns stats of all running containers.
        ListContainerStats(context.Context, *ListContainerStatsRequest) (*ListContainerStatsResponse, error)
        // UpdateRuntimeConfig updates the runtime configuration based on the given request.
        UpdateRuntimeConfig(context.Context, *UpdateRuntimeConfigRequest) (*UpdateRuntimeConfigResponse, error)
        // Status returns the status of the runtime.
        Status(context.Context, *StatusRequest) (*StatusResponse, error)
}

(cri-api/pkg/apis/runtime/v1alpha2/api.pb.go)
Kā darbojas kubectl exec?

Ja tā, mums vajadzētu redzēt savienojumu starp kubelet un konteinera izpildlaiku, vai ne? Pārbaudīsim.

Palaidiet Å”o komandu pirms un pēc exec komandas un apskatiet atŔķirÄ«bas. Manā gadÄ«jumā atŔķirÄ«ba ir:

// worker node
$ ss -a -p |grep kubelet
...
u_str  ESTAB      0      0       * 157937                * 157387                users:(("kubelet",pid=5714,fd=33))
...

Hmm... Jauns savienojums caur unix ligzdām starp kubeletu (pid=5714) un kaut ko nezināmu. Kas tas varētu bÅ«t? TieÅ”i tā, tas ir Docker (pid=1186)!

// worker node
$ ss -a -p |grep 157387
...
u_str  ESTAB      0      0       * 157937                * 157387                users:(("kubelet",pid=5714,fd=33))
u_str  ESTAB      0      0      /var/run/docker.sock 157387                * 157937                users:(("dockerd",pid=1186,fd=14))
...

Kā jÅ«s atceraties, Å”is ir docker dēmona process (pid=1186), kas izpilda mÅ«su komandu:

// worker node
$ ps -afx
...
 1186 ?        Ssl    0:55 /usr/bin/dockerd -H fd://
17784 ?        Sl     0:00      _ docker-containerd-shim 53a0a08547b2f95986402d7f3b3e78702516244df049ba6c5aa012e81264aa3c /var/run/docker/libcontainerd/53a0a08547b2f95986402d7f3
17801 pts/2    Ss     0:00          _ sh
17827 pts/2    S+     0:00              _ sleep 5000
...

4. DarbÄ«ba konteinera izpildlaikā

Izpētīsim CRI-O pirmkodu, lai saprastu, kas notiek. Programmā Docker loģika ir līdzīga.

Par ievieŔanu ir atbildīgs serveris RuntimeServiceServer:

// Server implements the RuntimeService and ImageService
type Server struct {
        config          libconfig.Config
        seccompProfile  *seccomp.Seccomp
        stream          StreamService
        netPlugin       ocicni.CNIPlugin
        hostportManager hostport.HostPortManager

        appArmorProfile string
        hostIP          string
        bindAddress     string

        *lib.ContainerServer
        monitorsChan      chan struct{}
        defaultIDMappings *idtools.IDMappings
        systemContext     *types.SystemContext // Never nil

        updateLock sync.RWMutex

        seccompEnabled  bool
        appArmorEnabled bool
}

(cri-o/server/server.go)

// Exec prepares a streaming endpoint to execute a command in the container.
func (s *Server) Exec(ctx context.Context, req *pb.ExecRequest) (resp *pb.ExecResponse, err error) {
        const operation = "exec"
        defer func() {
                recordOperation(operation, time.Now())
                recordError(operation, err)
        }()

        resp, err = s.getExec(req)
        if err != nil {
                return nil, fmt.Errorf("unable to prepare exec endpoint: %v", err)
        }

        return resp, nil
}

(cri-o/erver/container_exec.go)

Ķēdes beigās konteinera izpildlaiks izpilda komandu darbinieka mezglā:

// ExecContainer prepares a streaming endpoint to execute a command in the container.
func (r *runtimeOCI) ExecContainer(c *Container, cmd []string, stdin io.Reader, stdout, stderr io.WriteCloser, tty bool, resize <-chan remotecommand.TerminalSize) error {
        processFile, err := prepareProcessExec(c, cmd, tty)
        if err != nil {
                return err
        }
        defer os.RemoveAll(processFile.Name())

        args := []string{rootFlag, r.root, "exec"}
        args = append(args, "--process", processFile.Name(), c.ID())
        execCmd := exec.Command(r.path, args...)
        if v, found := os.LookupEnv("XDG_RUNTIME_DIR"); found {
                execCmd.Env = append(execCmd.Env, fmt.Sprintf("XDG_RUNTIME_DIR=%s", v))
        }
        var cmdErr, copyError error
        if tty {
                cmdErr = ttyCmd(execCmd, stdin, stdout, resize)
        } else {
                if stdin != nil {
                        // Use an os.Pipe here as it returns true *os.File objects.
                        // This way, if you run 'kubectl exec <pod> -i bash' (no tty) and type 'exit',
                        // the call below to execCmd.Run() can unblock because its Stdin is the read half
                        // of the pipe.
                        r, w, err := os.Pipe()
                        if err != nil {
                                return err
                        }
                        go func() { _, copyError = pools.Copy(w, stdin) }()

                        execCmd.Stdin = r
                }
                if stdout != nil {
                        execCmd.Stdout = stdout
                }
                if stderr != nil {
                        execCmd.Stderr = stderr
                }

                cmdErr = execCmd.Run()
        }

        if copyError != nil {
                return copyError
        }
        if exitErr, ok := cmdErr.(*exec.ExitError); ok {
                return &utilexec.ExitErrorWrapper{ExitError: exitErr}
        }
        return cmdErr
}

(cri-o/internal/oci/runtime_oci.go)

Kā darbojas kubectl exec?

Visbeidzot, kodols izpilda komandas:

Kā darbojas kubectl exec?

Atgādinājumi

  • API serveris var arÄ« inicializēt savienojumu ar kubelet.
  • LÄ«dz interaktÄ«vās izpildes sesijas beigām saglabājas Ŕādi savienojumi:
    • starp kubectl un api-serveri;
    • starp api-serveri un kubectl;
    • starp kubelet un konteinera izpildlaiku.
  • Kubectl vai api-serveris nevar palaist neko darbinieka mezglos. Kubelet var palaist, taču tas arÄ« mijiedarbojas ar konteinera izpildlaiku, lai veiktu Ŕīs darbÄ«bas.

Resursi

PS no tulka

Lasi arī mūsu emuārā:

Avots: www.habr.com

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