53 lines
1.8 KiB
Bash
53 lines
1.8 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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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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"${ALIYUN_REGISTRY}/coredns:v1.10.1"
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)
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# 网络插件镜像（Flannel）
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NETWORK_IMAGES=(
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"${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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# 导出本地已存在的镜像（在源节点运行）
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function export_images() {
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echo "==> 正在导出本地已存在的 Kubernetes v${K8S_VERSION} 镜像..."
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mkdir -p /opt/k8s-images
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cd /opt/k8s-images || exit
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for image in "${ALL_IMAGES[@]}"; do
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echo "正在检查并导出镜像：${image}"
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if ctr -n=k8s.io images list --quiet | grep -q "${image}"; then
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output_file="${image//\//_}.tar"
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ctr -n=k8s.io images export ${output_file} ${image} --platform=linux/amd64
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echo "✅ 成功导出：${output_file}"
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else
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echo "⚠️ 镜像 ${image} 不存在于本地,跳过！"
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fi
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done
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}
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# 根据需要选择执行导出或导入
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export_images # 在源节点运行,导出镜像 |