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04.离线环境下，使用KubeKey安装Kubernetes 和 KubeSphere_离线下载kubesphere

作者：盐析白兔 | 2024-05-30 07:23:03

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离线下载kubesphere

离线环境下，使用KubeKey安装Kubernetes 和 KubeSphere

简介

KubeKey v2.1.0 版本新增了清单（manifest）和制品（artifact）的概念，为用户离线部署 Kubernetes 集群提供了一种解决方案。manifest 是一个描述当前 Kubernetes 集群信息和定义 artifact 制品中需要包含哪些内容的文本文件。使用 KubeKey，用户只需使用清单 manifest 文件来定义将要离线部署的集群环境需要的内容，再通过该 manifest 来导出制品 artifact 文件即可完成准备工作。
离线部署时只需要 KubeKey 和 artifact 就可快速、简单的在环境中部署镜像仓库和Kubernetes 集群。

往期文章参考:
01.使用 KubeKey 在Linux上预配置生产就绪的 Kubernetes 和 KubeSphere 集群
02.Kubernetes 和 KubeSphere 集群安装配置持久化存储（nfs）并通过StatefulSet动态为pod生成pv挂载
03.使用 KubeSphere 安装Harbor并为Docker进行相关配置

版本如下

名称版本
openEuler23.03
cpu架构arm64
Kubernetes1.23.15
KubeSphere3.4.0
Harbor2.5.3

主机分配

主机名称IP角色容器运行时容器运行时版本
master01192.168.8.155control plane, etcd, workerdocker20.10.8
master02192.168.8.156workerdocker20.10.8
node01192.168.8.157workerdocker20.10.8
联网机192.168.0.8用于离线资源下载docker20.10.8

1. 离线资源准备

1.1 基础依赖项资源

1.1.1 k8s必须依赖项清单

节点要求
所有节点必须都能通过 SSH 访问。
所有节点时间同步。
所有节点都应使用 sudo/curl/openssl/tar。
所有节点都应使用 nfs-utils/ipvsadm。

依赖项Kubernetes 版本 ≥ 1.18Kubernetes 版本 < 1.18
socat必须可选，但建议安装
conntrack必须可选，但建议安装
ebtables可选，但建议安装可选，但建议安装
ipset可选，但建议安装可选，但建议安装

1.1.2 离线依赖项资源下载

由于openEuler23.03自带依赖项比较多，这里只下载了缺少的
nfs/ipvsadm/socat/conntrack/
其他操作系统可以去github查看是否有官方打包好的iso依赖包使用
如果没有就需要按照本文章下面方法自行下载依赖项
github地址：https://github.com/kubesphere/kubekey/releases/tag/v3.0.10
部分iso截图
在这里插入图片描述

登录到联网主机
使用如下命令下载资源包

yum install --downloadonly --downloaddir=/tmp <package-name>

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以下载conntrack为例

[root@localhost ks]# yum install --downloadonly --downloaddir=/home/ks/conntrack conntrack
已加载插件：fastestmirror
Loading mirror speeds from cached hostfile
 * base: mirrors.aliyun.com
 * extras: mirrors.aliyun.com
 * updates: mirrors.ustc.edu.cn
正在解决依赖关系
--> 正在检查事务
---> 软件包 conntrack-tools.x86_64.0.1.4.4-7.el7 将被 安装
--> 正在处理依赖关系 libnetfilter_cttimeout.so.1(LIBNETFILTER_CTTIMEOUT_1.1)(64bit)，它被软件包 conntrack-tools-1.4.4-7.el7.x86_64 需要
--> 正在处理依赖关系 libnetfilter_cttimeout.so.1(LIBNETFILTER_CTTIMEOUT_1.0)(64bit)，它被软件包 conntrack-tools-1.4.4-7.el7.x86_64 需要
--> 正在处理依赖关系 libnetfilter_cthelper.so.0(LIBNETFILTER_CTHELPER_1.0)(64bit)，它被软件包 conntrack-tools-1.4.4-7.el7.x86_64 需要
--> 正在处理依赖关系 libnetfilter_queue.so.1()(64bit)，它被软件包 conntrack-tools-1.4.4-7.el7.x86_64 需要
--> 正在处理依赖关系 libnetfilter_cttimeout.so.1()(64bit)，它被软件包 conntrack-tools-1.4.4-7.el7.x86_64 需要
--> 正在处理依赖关系 libnetfilter_cthelper.so.0()(64bit)，它被软件包 conntrack-tools-1.4.4-7.el7.x86_64 需要
--> 正在检查事务
---> 软件包 libnetfilter_cthelper.x86_64.0.1.0.0-11.el7 将被 安装
---> 软件包 libnetfilter_cttimeout.x86_64.0.1.0.0-7.el7 将被 安装
---> 软件包 libnetfilter_queue.x86_64.0.1.0.2-2.el7_2 将被 安装
--> 解决依赖关系完成

依赖关系解决

==================================================================================================================================
 Package                                  架构                     版本                              源                      大小
==================================================================================================================================
正在安装:
 conntrack-tools                          x86_64                   1.4.4-7.el7                       base                   187 k
为依赖而安装:
 libnetfilter_cthelper                    x86_64                   1.0.0-11.el7                      base                    18 k
 libnetfilter_cttimeout                   x86_64                   1.0.0-7.el7                       base                    18 k
 libnetfilter_queue                       x86_64                   1.0.2-2.el7_2                     base                    23 k

事务概要
==================================================================================================================================
安装  1 软件包 (+3 依赖软件包)

总下载量：245 k
安装大小：668 k
Background downloading packages, then exiting:
exiting because "Download Only" specified
[root@localhost ks]# ls
conntrack
[root@localhost ks]# cd conntrack
[root@localhost conntrack]# ls
conntrack-tools-1.4.4-7.el7.x86_64.rpm         libnetfilter_cttimeout-1.0.0-7.el7.x86_64.rpm
libnetfilter_cthelper-1.0.0-11.el7.x86_64.rpm  libnetfilter_queue-1.0.2-2.el7_2.x86_64.rpm
[root@localhost conntrack]#

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可以看到相关lib依赖包也一并下载了
所有依赖下载如下

[root@localhost ks]# ls
conntrack  ipvsadm  nfs-utils   socat
[root@localhost ks]

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1.1.3 依赖安装脚本

编写依赖安装脚本 install_base.sh
内容如下

#!/bin/bash

echo -e "\033[34m \033[0m"
echo -e "\033[34m *****验证当前用户是否为root***** \033[0m" 
echo -e ""
var_user_f=`whoami`    #当前用户
if [ $var_user_f = "root" ] ; then
echo -e ""     
echo -e "\033[32m OK \033[0m"          #绿色字
echo -e ""
else
echo -e ""
echo -e "\033[31m请使用root用户执行！程序退出! \033[0m"    #红色字
echo -e ""
exit 0
fi     #结束判断条件0

work_path=`pwd`
if [ $work_path = "/" ] ; then 
echo -e ""
echo -e "\033[34m *****当前工作路径为:$work_path***** \033[0m" 
echo -e ""
else
work_path=$work_path"/"
echo -e ""
echo -e "\033[34m *****当前工作路径为:$work_path***** \033[0m" 
echo -e ""
fi

cd $work_path/conntrack
rpm -ivh * --nodeps --force
cd $work_path/ipvsadm
rpm -ivh * --nodeps --force
cd $work_path/socat
rpm -ivh * --nodeps --force
cd $work_path/nfs-utils
rpm -ivh * --nodeps --force

exit

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然后新建一个 basedep 文件夹
把刚才下载的资源和脚本移动到 basedep 内
在这里插入图片描述

1.2 离线 Kubernetes 集群资源

1.2.1 下载 KubeKey

直接运行以下命令

[root@node03 ks]# export KKZONE=cn
[root@node03 ks]# curl -sfL https://get-kk.kubesphere.io | VERSION=v3.0.13 sh -

Downloading kubekey v3.0.13 from https://kubernetes.pek3b.qingstor.com/kubekey/releases/download/v3.0.13/kubekey-v3.0.13-linux-arm64.tar.gz ...


Kubekey v3.0.13 Download Complete!

[root@node03 ks]#

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或者访问 https://github.com/kubesphere/kubekey/releases下载

1.2.2 编写manifest

vim manifest-example.yaml


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apiVersion: kubekey.kubesphere.io/v1alpha2

kind: Manifest

metadata:

  name: sample

spec:

  arches:

  - arm64
  #cpu架构，下面docker镜像列表里的名称，有的会有arm64或者amd64标识，记得也要同步修改
  operatingSystems:

  - arch: arm64

    type: linux

    id: openEuler

    version: "23.03"

    repository:

      iso:

        localPath:
       #localPath:/home/ks3.4.0k8s2.13.15/ubuntu-20.04-debs-amd64.iso
       #官方依赖包本地带包存放路径，和下面的url在线下载路径，只需要配置一个即可
       #如果采用本文章自行配置基础依赖的方式，则两个都不需要配置
        url: 
       # url: https://github.com/kubesphere/kubekey/releases/download/v3.0.10/ubuntu-20.04-debs-amd64.iso
  kubernetesDistributions:

  - type: kubernetes

    version: v1.23.15

  components:

    helm:

      version: v3.9.0

    cni:

      version: v1.2.0

    etcd:

      version: v3.4.13

    calicoctl:

      version: v3.23.2

   ## For now, if your cluster container runtime is containerd, KubeKey will add a docker 20.10.8 container runtime in the below list.

   ## The reason is KubeKey creates a cluster with containerd by installing a docker first and making kubelet connect the socket file of containerd which docker contained.

    containerRuntimes:

    - type: docker

      version: 20.10.8

    - type: containerd

      version: 1.6.4

    crictl:

      version: v1.24.0

    docker-registry:

      version: "2"

    harbor:

      version: v2.5.3

    docker-compose:

      version: v2.2.2

  images:

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-apiserver:v1.23.15

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controller-manager:v1.23.15

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-proxy:v1.23.15

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-scheduler:v1.23.15

  - registry.cn-beijing.aliyuncs.com/kubesphereio/pause:3.6

  - registry.cn-beijing.aliyuncs.com/kubesphereio/coredns:1.8.6

  - registry.cn-beijing.aliyuncs.com/kubesphereio/cni:v3.23.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controllers:v3.23.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/node:v3.23.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/pod2daemon-flexvol:v3.23.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/typha:v3.23.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/flannel:v0.12.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/provisioner-localpv:3.3.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/linux-utils:3.3.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/haproxy:2.3

  - registry.cn-beijing.aliyuncs.com/kubesphereio/nfs-subdir-external-provisioner:v4.0.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/k8s-dns-node-cache:1.15.12

  - registry.cn-beijing.aliyuncs.com/kubesphereio/ks-installer:v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/ks-apiserver:v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/ks-console:v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/ks-controller-manager:v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kubectl:v1.22.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kubectl:v1.21.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kubectl:v1.20.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kubefed:v0.8.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/tower:v0.2.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/minio:RELEASE.2019-08-07T01-59-21Z

  - registry.cn-beijing.aliyuncs.com/kubesphereio/mc:RELEASE.2019-08-07T23-14-43Z

  - registry.cn-beijing.aliyuncs.com/kubesphereio/snapshot-controller:v4.0.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/nginx-ingress-controller:v1.1.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/defaultbackend-amd64:1.4

  - registry.cn-beijing.aliyuncs.com/kubesphereio/metrics-server:v0.4.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/redis:5.0.14-alpine

  - registry.cn-beijing.aliyuncs.com/kubesphereio/haproxy:2.0.25-alpine

  - registry.cn-beijing.aliyuncs.com/kubesphereio/alpine:3.14

  - registry.cn-beijing.aliyuncs.com/kubesphereio/openldap:1.3.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/netshoot:v1.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/cloudcore:v1.13.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/iptables-manager:v1.13.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/edgeservice:v0.3.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/gatekeeper:v3.5.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/openpitrix-jobs:v3.3.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/devops-apiserver:ks-v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/devops-controller:ks-v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/devops-tools:ks-v3.4.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/ks-jenkins:v3.4.0-2.319.3-1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/inbound-agent:4.10-2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-base:v3.2.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-nodejs:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-maven:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-maven:v3.2.1-jdk11

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-python:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.2-1.16

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.2-1.17

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.2-1.18

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-base:v3.2.2-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-nodejs:v3.2.0-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-maven:v3.2.0-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-maven:v3.2.1-jdk11-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-python:v3.2.0-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.0-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.2-1.16-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.2-1.17-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/builder-go:v3.2.2-1.18-podman

  - registry.cn-beijing.aliyuncs.com/kubesphereio/s2ioperator:v3.2.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/s2irun:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/s2i-binary:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/tomcat85-java11-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/tomcat85-java11-runtime:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/tomcat85-java8-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/tomcat85-java8-runtime:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/java-11-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/java-8-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/java-8-runtime:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/java-11-runtime:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/nodejs-8-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/nodejs-6-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/nodejs-4-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/python-36-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/python-35-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/python-34-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/python-27-centos7:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/argocd:v2.3.3

  - registry.cn-beijing.aliyuncs.com/kubesphereio/argocd-applicationset:v0.4.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/dex:v2.30.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/redis:6.2.6-alpine

  - registry.cn-beijing.aliyuncs.com/kubesphereio/configmap-reload:v0.7.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus:v2.39.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus-config-reloader:v0.55.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/prometheus-operator:v0.55.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy:v0.11.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-state-metrics:v2.6.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/node-exporter:v1.3.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/alertmanager:v0.23.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/thanos:v0.31.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/grafana:8.3.3

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy:v0.11.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/notification-manager-operator:v2.3.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/notification-manager:v2.3.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/notification-tenant-sidecar:v3.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/elasticsearch-curator:v5.7.6

  - registry.cn-beijing.aliyuncs.com/kubesphereio/elasticsearch-oss:6.8.22

  - registry.cn-beijing.aliyuncs.com/kubesphereio/opensearch:2.6.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/opensearch-dashboards:2.6.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/opensearch-curator:v0.0.5

  - registry.cn-beijing.aliyuncs.com/kubesphereio/fluentbit-operator:v0.14.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/docker:19.03

  - registry.cn-beijing.aliyuncs.com/kubesphereio/fluent-bit:v1.9.4

  - registry.cn-beijing.aliyuncs.com/kubesphereio/log-sidecar-injector:v1.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/filebeat:6.7.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-events-operator:v0.6.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-events-exporter:v0.6.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-events-ruler:v0.6.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-auditing-operator:v0.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kube-auditing-webhook:v0.2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/pilot:1.14.6

  - registry.cn-beijing.aliyuncs.com/kubesphereio/proxyv2:1.14.6

  - registry.cn-beijing.aliyuncs.com/kubesphereio/jaeger-operator:1.29

  - registry.cn-beijing.aliyuncs.com/kubesphereio/jaeger-agent:1.29

  - registry.cn-beijing.aliyuncs.com/kubesphereio/jaeger-collector:1.29

  - registry.cn-beijing.aliyuncs.com/kubesphereio/jaeger-query:1.29

  - registry.cn-beijing.aliyuncs.com/kubesphereio/jaeger-es-index-cleaner:1.29

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kiali-operator:v1.50.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/kiali:v1.50

  - registry.cn-beijing.aliyuncs.com/kubesphereio/busybox:1.31.1

  - registry.cn-beijing.aliyuncs.com/kubesphereio/nginx:1.14-alpine

  - registry.cn-beijing.aliyuncs.com/kubesphereio/wget:1.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/hello:plain-text

  - registry.cn-beijing.aliyuncs.com/kubesphereio/wordpress:4.8-apache

  - registry.cn-beijing.aliyuncs.com/kubesphereio/hpa-example:latest

  - registry.cn-beijing.aliyuncs.com/kubesphereio/fluentd:v1.4.2-2.0

  - registry.cn-beijing.aliyuncs.com/kubesphereio/perl:latest

  - registry.cn-beijing.aliyuncs.com/kubesphereio/examples-bookinfo-productpage-v1:1.16.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/examples-bookinfo-reviews-v1:1.16.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/examples-bookinfo-reviews-v2:1.16.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/examples-bookinfo-details-v1:1.16.2

  - registry.cn-beijing.aliyuncs.com/kubesphereio/examples-bookinfo-ratings-v1:1.16.3

  - registry.cn-beijing.aliyuncs.com/kubesphereio/scope:1.13.0
  registry:
    auths: {}


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1.2.3 导出制品 artifact

联网主机直接运行以下命令

[root@node03 ks]# chmod +777 kk
[root@node03 ks]# ./kk artifact export -m manifest-sample.yaml -o kubesphere.tar.gz


 _   __      _          _   __
| | / /     | |        | | / /
| |/ / _   _| |__   ___| |/ /  ___ _   _
|    \| | | | '_ \ / _ \    \ / _ \ | | |
| |\  \ |_| | |_) |  __/ |\  \  __/ |_| |
\_| \_/\__,_|_.__/ \___\_| \_/\___|\__, |
                                    __/ |
                                   |___/

09:21:03 CST [CheckFileExist] Check output file if existed
09:21:03 CST success: [LocalHost]
09:21:03 CST [CopyImagesToLocalModule] Copy images to a local OCI path from registries
09:21:03 CST Source: docker://registry.cn-beijing.aliyuncs.com/kubesphereio/kube-apiserver:v1.23.15
09:21:03 CST Destination: oci:/home/ks/kubekey/artifact/images:kubesphereio:kube-apiserver:v1.23.15-arm64
Getting image source signatures
Copying blob d806e31c7174 done
Copying blob 9880fb5de7c7 done
Copying blob 63c3e2b46e6d done
Copying config cbb46e7054 done
Writing manifest to image destination
Storing signatures
09:21:25 CST Source: docker://registry.cn-beijing.aliyuncs.com/kubesphereio/kube-controller-manager:v1.23.15
09:21:25 CST Destination: oci:/home/ks/kubekey/artifact/images:kubesphereio:kube-controller-manager:v1.23.15-arm64
Getting image source signatures
Copying blob 82616e8852c3 done
Copying blob 9880fb5de7c7 skipped: already exists
Copying blob 63c3e2b46e6d skipped: already exists
Copying config 5bd44b41fa done
Writing manifest to image destination
Storing signatures
09:21:44 CST Source: docker://registry.cn-beijing.aliyuncs.com/kubesphereio/kube-proxy:v1.23.15
09:21:44 CST Destination: oci:/home/ks/kubekey/artifact/images:kubesphereio:kube-proxy:v1.23.15-arm64
Getting image source signatures
Copying blob 59c2026c78b8 [======================>---------------] 6.2MiB / 10.5MiB
Copying blob fa2a28e08351 [=============================>--------] 19.8MiB / 25.1MiB
Copying blob beab33aa815c done

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下载时间较长，图片为打包好的资源目录
在这里插入图片描述

可以参考下面步骤，先去其他离线主机配置基础环境依赖

2. 离线集群安装

2.1 基础环境依赖配置

以下操作需要在集群每个节点执行

2.1.1 设置主机名

# 如果是云主机可以去云主机控制台修改，示例为master01主机，其他主机也要修改
hostnamectl set-hostname master01

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2.1.2 依赖组件安装

将上面步骤1.1准备好的离线包上传至每台离线的集群服务器
执行安装脚本

./install_base.sh

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2.1.3 时间同步

时间不同步，k8s集群安装时会报证书过期不合法错误

选择三台服务器中的一台作为服务端
执行以下命令

cat > /etc/chrony.conf << EOF
driftfile /var/lib/chrony/drift
makestep 1.0 3
rtcsync
allow 192.168.8.0/24  #服务器所在网段
local stratum 10
keyfile /etc/chrony.keys
leapsectz right/UTC
logdir /var/log/chrony
EOF
systemctl restart chronyd ; systemctl enable chronyd

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剩下的服务器作为客户端
执行以下命令

cat > /etc/chrony.conf << EOF
pool 192.168.8.155 iburst  #服务端ip地址
driftfile /var/lib/chrony/drift
makestep 1.0 3
rtcsync
keyfile /etc/chrony.keys
leapsectz right/UTC
logdir /var/log/chrony
EOF
systemctl restart chronyd ; systemctl enable chronyd

# 使用客户端进行验证
chronyc sources -v

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2.1.4 配置hosts本地解析

下面也配置了harbor的地址解析
如需安装harbor请参考：03.使用 KubeSphere 安装Harbor并为Docker进行相关配置
vim /etc/hosts

127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6


192.168.8.155 master01
192.168.8.156 master02
192.168.8.157 node01
192.168.8.158 node02
192.168.0.69 dockerhub.kubekey.local  #docker私有镜像仓库harbor

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2.1.5 检查DNS

请确保 /etc/resolv.conf 文件存在 ，并且其中的 DNS 地址可用，否则，可能会导致集群中的 DNS 出现问题。
会出现以下类似报错：

kubelet.go:2466] "Error getting node" err="node \"master01\" not found

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2.2 创建harbor项目空间

安装harbor请参考：使用 Docker Compose 安装 Harbor 镜像仓库

harbor初始账号密码
Account: admin
Password: Harbor12345

2.2.1 编写脚本

根据实际情况修改项目脚本

#!/usr/bin/env bash

# Harbor 仓库地址
url="http://dockerhub.kubekey.local:30002"

# 访问 Harbor 仓库用户
user="admin"

# 访问 Harbor 仓库用户密码
passwd=""

# 需要创建的项目名列表，正常只需要创建一个**kubesphereio**即可，这里为了保留变量可扩展性多写了两个。
harbor_projects=(library
    kubesphereio
    kubesphere
    argoproj
    calico
    coredns
    openebs
    csiplugin
    minio
    mirrorgooglecontainers
    osixia
    prom
    thanosio
    jimmidyson
    grafana
    elastic
    istio
    jaegertracing
    jenkins
    weaveworks
    openpitrix
    joosthofman
    nginxdemos
    fluent
    kubeedge
    openpolicyagent
)
for project in "${harbor_projects[@]}"; do
    echo "creating $project"
    curl -u "${user}:${passwd}" -X POST -H "Content-Type: application/json" "${url}/api/v2.0/projects" -d "{\"project_name\": \"${project}\", \"metadata\": {\"public\": \"true\"}, \"storage_limit\": -1}";
done

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2.2.2 执行脚本

[root@localhost ks]# ./create_project_harbor.sh
creating library
creating kubesphereio
creating kubesphere
creating argoproj
creating calico
creating coredns
creating openebs

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2.3 安装k8s和ks

2.3.1 编写config

新建一个yml文件config-sample.yaml
具体内容如下，其中的组件版本号 要和1.2.2manifest中的版本号对应

apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: master01, address: 192.168.8.155, internalAddress: 192.168.8.155, user: root, password: "Passw0rd@155", arch: arm64}
  - {name: master02, address: 192.168.8.156, internalAddress: 192.168.8.156, user: root, password: "Passw0rd@156", arch: arm64}
  - {name: node01, address: 192.168.8.157, internalAddress: 192.168.8.157, user: root, password: "Passw0rd@157", arch: arm64}
  roleGroups:
    etcd:
    - node01
    - master01
    - master02
    control-plane: 
    - master01
    - master02
    worker:
    - node01
    - master01
    - master02
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    internalLoadbalancer: haproxy

    domain: lb.kubesphere.local
    address: ""
    port: 6443
  kubernetes:
    version: v1.23.15
    clusterName: cluster.local
    autoRenewCerts: true
    containerManager: docker
  etcd:
    type: kubekey
  network:
    plugin: calico
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
    ## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
    multusCNI:
      enabled: false
  registry:
    type: harbor
    auths:
      "dockerhub.kubekey.local:30002":
        username: admin
        password: Harbor12345
        skipTLSVerify: true
        plainHTTP: true  #不使用https
    privateRegistry: "dockerhub.kubekey.local:30002"
    namespaceOverride: "kubesphereio"
    registryMirrors: []
    insecureRegistries: []
  addons: []



---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.4.0
spec:
  persistence:
    storageClass: ""
  authentication:
    jwtSecret: ""
  zone: ""
  local_registry: ""
  namespace_override: ""
  # dev_tag: ""
  etcd:
    monitoring: false
    endpointIps: localhost
    port: 2379
    tlsEnable: true
  common:
    core:
      console:
        enableMultiLogin: true
        port: 30880
        type: NodePort
    # apiserver:
    #  resources: {}
    # controllerManager:
    #  resources: {}
    redis:
      enabled: false
      volumeSize: 2Gi
    openldap:
      enabled: false
      volumeSize: 2Gi
    minio:
      volumeSize: 20Gi
    monitoring:
      # type: external
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090
      GPUMonitoring:
        enabled: false
    gpu:
      kinds:
      - resourceName: "nvidia.com/gpu"
        resourceType: "GPU"
        default: true
    es:
      # master:
      #   volumeSize: 4Gi
      #   replicas: 1
      #   resources: {}
      # data:
      #   volumeSize: 20Gi
      #   replicas: 1
      #   resources: {}
      logMaxAge: 7
      elkPrefix: logstash
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchHost: ""
      externalElasticsearchPort: ""
  alerting:
    enabled: false
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:
    enabled: false
    # operator:
    #   resources: {}
    # webhook:
    #   resources: {}
  devops:
    enabled: false
    # resources: {}
    jenkinsMemoryLim: 8Gi
    jenkinsMemoryReq: 4Gi
    jenkinsVolumeSize: 8Gi
  events:
    enabled: false
    # operator:
    #   resources: {}
    # exporter:
    #   resources: {}
    # ruler:
    #   enabled: true
    #   replicas: 2
    #   resources: {}
  logging:
    enabled: false
    logsidecar:
      enabled: true
      replicas: 2
      # resources: {}
  metrics_server:
    enabled: false
  monitoring:
    storageClass: ""
    node_exporter:
      port: 9100
      # resources: {}
    # kube_rbac_proxy:
    #   resources: {}
    # kube_state_metrics:
    #   resources: {}
    # prometheus:
    #   replicas: 1
    #   volumeSize: 20Gi
    #   resources: {}
    #   operator:
    #     resources: {}
    # alertmanager:
    #   replicas: 1
    #   resources: {}
    # notification_manager:
    #   resources: {}
    #   operator:
    #     resources: {}
    #   proxy:
    #     resources: {}
    gpu:
      nvidia_dcgm_exporter:
        enabled: false
        # resources: {}
  multicluster:
    clusterRole: none
  network:
    networkpolicy:
      enabled: false
    ippool:
      type: none
    topology:
      type: none
  openpitrix:
    store:
      enabled: false
  servicemesh:
    enabled: false
    istio:
      components:
        ingressGateways:
        - name: istio-ingressgateway
          enabled: false
        cni:
          enabled: false
  edgeruntime:
    enabled: false
    kubeedge:
      enabled: false
      cloudCore:
        cloudHub:
          advertiseAddress:
            - ""
        service:
          cloudhubNodePort: "30000"
          cloudhubQuicNodePort: "30001"
          cloudhubHttpsNodePort: "30002"
          cloudstreamNodePort: "30003"
          tunnelNodePort: "30004"
        # resources: {}
        # hostNetWork: false
      iptables-manager:
        enabled: true
        mode: "external"
        # resources: {}
      # edgeService:
      #   resources: {}
  terminal:
    timeout: 600

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2.3.2 执行命令安装

如果使用的是iso基础依赖，则需要附加 ----with-packages：
./kk create cluster -f config-sample.yaml -a kubesphere.tar.gz --with-packages
执行过程中会报错：

login registry failed, cmd: docker login --username 'admin' --password 'Harbor12345' dockerhub.kubekey.local:30002, err:Failed to exec command: sudo -E /bin/bash -c "docker login --username 'admin' --password 'Harbor12345' dockerhub.kubekey.local:30002"
WARNING! Using --password via the CLI is insecure. Use --password-stdin.
Error response from daemon: Get "https://dockerhub.kubekey.local:30002/v2/": http: server gave HTTP response to HTTPS client: Process exited with status 1: Failed to exec command: sudo -E /bin/bash -c "docker login --username 'admin' --password 'Harbor12345' dockerhub.kubekey.local:30002"
WARNING! Using --password via the CLI is insecure. Use --password-stdin.


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这是因为docker安装好后没有配置私有harbor地址
参考2.3.3配置好后
再次执行./kk create cluster -f config-sample.yaml -a kubesphere.tar.gz即可

[root@localhost ks3.4.0k8s2.13.15]# ./kk create cluster -f config-sample.yaml -a kubesphere.tar.gz


 _   __      _          _   __
| | / /     | |        | | / /
| |/ / _   _| |__   ___| |/ /  ___ _   _
|    \| | | | '_ \ / _ \    \ / _ \ | | |
| |\  \ |_| | |_) |  __/ |\  \  __/ |_| |
\_| \_/\__,_|_.__/ \___\_| \_/\___|\__, |
                                    __/ |
                                   |___/

15:11:55 CST [GreetingsModule] Greetings
15:11:57 CST message: [node01]
Greetings, KubeKey!
15:11:57 CST message: [master01]
Greetings, KubeKey!
15:11:58 CST message: [master02]
Greetings, KubeKey!
15:11:58 CST success: [node01]
15:11:58 CST success: [master01]
15:11:58 CST success: [master02]
15:11:58 CST [NodePreCheckModule] A pre-check on nodes
15:12:07 CST success: [node01]
15:12:07 CST success: [master01]
15:12:07 CST success: [master02]
15:12:07 CST [ConfirmModule] Display confirmation form
+----------+------+------+---------+----------+-------+-------+---------+-----------+--------+--------+------------+------------+-------------+------------------+--------------+
| name     | sudo | curl | openssl | ebtables | socat | ipset | ipvsadm | conntrack | chrony | docker | containerd | nfs client | ceph client | glusterfs client | time         |
+----------+------+------+---------+----------+-------+-------+---------+-----------+--------+--------+------------+------------+-------------+------------------+--------------+
| master01 | y    | y    | y       | y        | y     | y     | y       | y         | y      |        | y          | y          |             |                  | CST 15:12:07 |
| master02 | y    | y    | y       | y        | y     | y     | y       | y         | y      |        | y          | y          |             |                  | CST 15:12:07 |
| node01   | y    | y    | y       | y        | y     | y     | y       | y         | y      |        | y          | y          |             |                  | CST 15:12:07 |
+----------+------+------+---------+----------+-------+-------+---------+-----------+--------+--------+------------+------------+-------------+------------------+--------------+

This is a simple check of your environment.
Before installation, ensure that your machines meet all requirements specified at
https://github.com/kubesphere/kubekey#requirements-and-recommendations

Continue this installation? [yes/no]: yes
15:12:10 CST success: [LocalHost]
15:12:10 CST [UnArchiveArtifactModule] Check the KubeKey artifact md5 value


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2.3.3 添加私有仓库地址

# 修改docker配置文件添加harbor地址
# vim /etc/docker/daemon.json
{
"insecure-registries": ["dockerhub.kubekey.local:30002"]
}

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# 集群每台主机需要重新启动docker加载配置
systemctl daemon-reload
systemctl restart docker

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2.3.4 查看集群状态

另起窗口执行命令查看ks安装状态

kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l 'app in (ks-install, ks-installer)' -o jsonpath='{.items[0].metadata.name}') -f

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安装完成后，会看到以下内容：

15:46:51 CST skipped: [master02]
15:46:51 CST success: [master01]
#####################################################
###              Welcome to KubeSphere!           ###
#####################################################

Console: http://192.168.8.155:30880
Account: admin
Password: P@88w0rd
NOTES：
  1. After you log into the console, please check the
     monitoring status of service components in
     "Cluster Management". If any service is not
     ready, please wait patiently until all components
     are up and running.
  2. Please change the default password after login.

#####################################################
https://kubesphere.io             2023-11-22 16:02:33
#####################################################
16:02:37 CST skipped: [master02]
16:02:37 CST success: [master01]
16:02:37 CST Pipeline[CreateClusterPipeline] execute successfully
Installation is complete.

Please check the result using the command:

        kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l 'app in (ks-install, ks-installer)' -o jsonpath='{.items[0].metadata.name}') -f

[root@localhost ks3.4.0k8s2.13.15]#

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往期文章参考:
01.使用 KubeKey 在Linux上预配置生产就绪的 Kubernetes 和 KubeSphere 集群
02.Kubernetes 和 KubeSphere 集群安装配置持久化存储（nfs）并通过StatefulSet动态为pod生成pv挂载
03.使用 KubeSphere 安装Harbor并为Docker进行相关配置

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