面向 Docker 用户的 kubectl
你可以使用 Kubernetes 命令行工具 kubectl
与 API 服务器进行交互。如果你熟悉 Docker 命令行工具,那么使用 kubectl 会很简单。但是,Docker 命令和 kubectl 命令之间存在一些差异。以下部分显示了一个 Docker 子命令,并描述了等效的 kubectl
命令。
docker run
要运行 nginx Deployment 并公开 Deployment,请参阅 kubectl create deployment。docker
docker run -d --restart=always -e DOMAIN=cluster --name nginx-app -p 80:80 nginx
55c103fa129692154a7652490236fee9be47d70a8dd562281ae7d2f9a339a6db
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
55c103fa1296 nginx "nginx -g 'daemon of…" 9 seconds ago Up 9 seconds 0.0.0.0:80->80/tcp nginx-app
kubectl
# start the pod running nginx
kubectl create deployment --image=nginx nginx-app
deployment.apps/nginx-app created
# add env to nginx-app
kubectl set env deployment/nginx-app DOMAIN=cluster
deployment.apps/nginx-app env updated
注意
kubectl
命令会打印创建或修改的资源的类型和名称,然后可以在后续命令中使用这些信息。你可以在创建 Deployment 后公开新的 Service。# expose a port through with a service
kubectl expose deployment nginx-app --port=80 --name=nginx-http
service "nginx-http" exposed
通过使用 kubectl,你可以创建一个 Deployment 来确保有 N 个 Pod 正在运行 nginx,其中 N 是规范中声明的副本数量,默认为 1。你还可以创建一个 service,其选择器与 Pod 标签匹配。有关更多信息,请参阅 使用 Service 访问集群中的应用程序。
默认情况下,镜像在后台运行,类似于 docker run -d ...
。要在前台运行,请使用 kubectl run
创建 Pod。
kubectl run [-i] [--tty] --attach <name> --image=<image>
与 docker run ...
不同,如果你指定 --attach
,则会附加 stdin
、stdout
和 stderr
。你无法控制附加哪些流 (docker -a ...
)。要从容器分离,你可以键入转义序列 Ctrl+P,然后是 Ctrl+Q。
docker ps
要列出当前正在运行的内容,请参阅 kubectl get。
docker
docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
14636241935f ubuntu:16.04 "echo test" 5 seconds ago Exited (0) 5 seconds ago cocky_fermi
55c103fa1296 nginx "nginx -g 'daemon of…" About a minute ago Up About a minute 0.0.0.0:80->80/tcp nginx-app
kubectl
kubectl get po
NAME READY STATUS RESTARTS AGE
nginx-app-8df569cb7-4gd89 1/1 Running 0 3m
ubuntu 0/1 Completed 0 20s
docker attach
要附加到容器中已在运行的进程,请参阅 kubectl attach。
docker
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
55c103fa1296 nginx "nginx -g 'daemon of…" 5 minutes ago Up 5 minutes 0.0.0.0:80->80/tcp nginx-app
docker attach 55c103fa1296
...
kubectl
kubectl get pods
NAME READY STATUS RESTARTS AGE
nginx-app-5jyvm 1/1 Running 0 10m
kubectl attach -it nginx-app-5jyvm
...
要从容器分离,你可以键入转义序列 Ctrl+P,然后是 Ctrl+Q。
docker exec
要在容器中执行命令,请参阅 kubectl exec。
docker
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
55c103fa1296 nginx "nginx -g 'daemon of…" 6 minutes ago Up 6 minutes 0.0.0.0:80->80/tcp nginx-app
docker exec 55c103fa1296 cat /etc/hostname
55c103fa1296
kubectl
kubectl get po
NAME READY STATUS RESTARTS AGE
nginx-app-5jyvm 1/1 Running 0 10m
kubectl exec nginx-app-5jyvm -- cat /etc/hostname
nginx-app-5jyvm
要使用交互式命令。
docker
docker exec -ti 55c103fa1296 /bin/sh
# exit
kubectl
kubectl exec -ti nginx-app-5jyvm -- /bin/sh
# exit
有关更多信息,请参阅 获取运行中容器的 Shell。
docker logs
要跟踪正在运行的进程的 stdout/stderr,请参阅 kubectl logs。
docker
docker logs -f a9e
192.168.9.1 - - [14/Jul/2015:01:04:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.35.0" "-"
192.168.9.1 - - [14/Jul/2015:01:04:03 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.35.0" "-"
kubectl
kubectl logs -f nginx-app-zibvs
10.240.63.110 - - [14/Jul/2015:01:09:01 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
10.240.63.110 - - [14/Jul/2015:01:09:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
Pod 和容器之间略有不同;默认情况下,如果 Pod 的进程退出,则 Pod 不会终止。相反,Pod 会重新启动该进程。这类似于 docker run 选项 --restart=always
,但有一个主要区别。在 docker 中,该进程的每次调用的输出都会被连接起来,但在 Kubernetes 中,每次调用都是独立的。要查看 Kubernetes 中先前运行的输出,请执行以下操作
kubectl logs --previous nginx-app-zibvs
10.240.63.110 - - [14/Jul/2015:01:09:01 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
10.240.63.110 - - [14/Jul/2015:01:09:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
有关更多信息,请参阅 日志架构。
docker stop 和 docker rm
要停止和删除正在运行的进程,请参阅 kubectl delete。
docker
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
a9ec34d98787 nginx "nginx -g 'daemon of" 22 hours ago Up 22 hours 0.0.0.0:80->80/tcp, 443/tcp nginx-app
docker stop a9ec34d98787
a9ec34d98787
docker rm a9ec34d98787
a9ec34d98787
kubectl
kubectl get deployment nginx-app
NAME READY UP-TO-DATE AVAILABLE AGE
nginx-app 1/1 1 1 2m
kubectl get po -l app=nginx-app
NAME READY STATUS RESTARTS AGE
nginx-app-2883164633-aklf7 1/1 Running 0 2m
kubectl delete deployment nginx-app
deployment "nginx-app" deleted
kubectl get po -l app=nginx-app
# Return nothing
注意
使用 kubectl 时,你不会直接删除 Pod。你必须先删除拥有该 Pod 的 Deployment。如果你直接删除 Pod,Deployment 会重新创建该 Pod。docker login
kubectl 中没有与 docker login
直接对应的命令。如果你有兴趣将 Kubernetes 与私有仓库一起使用,请参阅 使用私有仓库。
docker version
要获取客户端和服务器的版本,请参阅 kubectl version。
docker
docker version
Client version: 1.7.0
Client API version: 1.19
Go version (client): go1.4.2
Git commit (client): 0baf609
OS/Arch (client): linux/amd64
Server version: 1.7.0
Server API version: 1.19
Go version (server): go1.4.2
Git commit (server): 0baf609
OS/Arch (server): linux/amd64
kubectl
kubectl version
Client Version: version.Info{Major:"1", Minor:"6", GitVersion:"v1.6.9+a3d1dfa6f4335", GitCommit:"9b77fed11a9843ce3780f70dd251e92901c43072", GitTreeState:"dirty", BuildDate:"2017-08-29T20:32:58Z", OpenPaasKubernetesVersion:"v1.03.02", GoVersion:"go1.7.5", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"6", GitVersion:"v1.6.9+a3d1dfa6f4335", GitCommit:"9b77fed11a9843ce3780f70dd251e92901c43072", GitTreeState:"dirty", BuildDate:"2017-08-29T20:32:58Z", OpenPaasKubernetesVersion:"v1.03.02", GoVersion:"go1.7.5", Compiler:"gc", Platform:"linux/amd64"}
docker info
要获取有关环境和配置的杂项信息,请参阅 kubectl cluster-info。
docker
docker info
Containers: 40
Images: 168
Storage Driver: aufs
Root Dir: /usr/local/google/docker/aufs
Backing Filesystem: extfs
Dirs: 248
Dirperm1 Supported: false
Execution Driver: native-0.2
Logging Driver: json-file
Kernel Version: 3.13.0-53-generic
Operating System: Ubuntu 14.04.2 LTS
CPUs: 12
Total Memory: 31.32 GiB
Name: k8s-is-fun.mtv.corp.google.com
ID: ADUV:GCYR:B3VJ:HMPO:LNPQ:KD5S:YKFQ:76VN:IANZ:7TFV:ZBF4:BYJO
WARNING: No swap limit support
kubectl
kubectl cluster-info
Kubernetes master is running at https://203.0.113.141
KubeDNS is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/kube-dns/proxy
kubernetes-dashboard is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/kubernetes-dashboard/proxy
Grafana is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
Heapster is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/monitoring-heapster/proxy
InfluxDB is running at https://203.0.113.141/api/v1/namespaces/kube-system/services/monitoring-influxdb/proxy