75 lines
2.5 KiB
Bash
75 lines
2.5 KiB
Bash
#!/bin/bash
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# 设置 Kubernetes 版本和镜像仓库地址
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K8S_VERSION="v1.28.2"
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ALIYUN_REGISTRY="registry.aliyuncs.com/google_containers" # 阿里云 Kubernetes 镜像源
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HANGZHOU_ALIYUN_REGISTRY="registry.cn-hangzhou.aliyuncs.com/google_containers" # 杭州阿里云镜像站
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FLANNEL_REPO="ghcr.io/flannel-io" # Flannel 镜像仓库
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NETWORK_PLUGIN="flannel"
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NETWORK_PLUGIN_VERSION="v0.26.4"
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NETWORK_PLUGIN_CNI="flannel-cni-plugin"
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NETWORK_PLUGIN_CNI_VERSION="v1.6.2-flannel1"
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# Kubernetes 控制平面镜像列表（阿里云镜像源）
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KUBERNETES_IMAGES=(
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"${ALIYUN_REGISTRY}/kube-apiserver:${K8S_VERSION}"
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"${ALIYUN_REGISTRY}/kube-controller-manager:${K8S_VERSION}"
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"${ALIYUN_REGISTRY}/kube-scheduler:${K8S_VERSION}"
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"${ALIYUN_REGISTRY}/kube-proxy:${K8S_VERSION}"
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"${ALIYUN_REGISTRY}/pause:3.9"
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"${ALIYUN_REGISTRY}/etcd:3.5.9-0"
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"${ALIYUN_REGISTRY}/coredns:v1.10.1"
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"${ALIYUN_REGISTRY}/metrics-server:v0.7.2"
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"${HANGZHOU_ALIYUN_REGISTRY}/kube-webhook-certgen:v1.1.1"
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"${HANGZHOU_ALIYUN_REGISTRY}/nginx-ingress-controller:v1.5.1"
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)
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# 网络插件镜像（Flannel）
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NETWORK_IMAGES=(
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"${FLANNEL_REPO}/${NETWORK_PLUGIN}:${NETWORK_PLUGIN_VERSION}"
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)
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NETWORK_CNI_IMAGES=(
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"${FLANNEL_REPO}/${NETWORK_PLUGIN_CNI}:${NETWORK_PLUGIN_CNI_VERSION}"
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)
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# 合并所有镜像
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ALL_IMAGES=("${KUBERNETES_IMAGES[@]}" "${NETWORK_IMAGES[@]}" "${NETWORK_CNI_IMAGES[@]}")
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# 导入镜像并自动修复配置（在目标节点运行）
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function import_images() {
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echo "==> 正在导入镜像到目标节点..."
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# 2. 停止 containerd 服务
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sudo systemctl stop containerd
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# 3. 进入镜像目录
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cd /opt/k8s-images || exit
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# 4. 清理旧镜像（根据你的镜像仓库地址过滤）
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echo "正在清理旧镜像..."
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for img in $(ctr -n=k8s.io images list --quiet); do
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if [[ $img == ${ALIYUN_REGISTRY}* || $img == ${FLANNEL_REPO}* || $img == ${HANGZHOU_ALIYUN_REGISTRY}* ]]; then
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ctr -n=k8s.io images rm $img || true
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fi
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done
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sudo systemctl start containerd
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# 5. 导入所有 tar 文件
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for file in *.tar; do
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echo "正在导入镜像：${file}"
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ctr -n=k8s.io images import ${file} --platform=linux/amd64
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echo "✅ 导入成功：${file}"
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done
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# 6. 启动 containerd 并验证
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#sudo systemctl restart containerd
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echo "已导入的镜像列表："
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ctr -n=k8s.io images list | grep -E "${ALIYUN_REGISTRY}|${HANGZHOU_ALIYUN_REGISTRY}|${FLANNEL_REPO}"
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crictl images
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}
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# 根据需要选择执行导入
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import_images # 在目标节点运行,导入镜像
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