离线资源包
- AMD64
- ARM64
名称 | 下载链接 |
---|---|
mingdaoyun-community 微服务 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-community-linux-amd64-5.2.3.tar.gz |
mingdaoyun-file 文件存储 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-file-linux-amd64-1.5.0.tar.gz |
mingdaoyun-flink 数据集成 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-flink-linux-amd64-1.17.1.510.tar.gz |
mingdaoyun-doc 文档预览,基于 OnlyOffice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-doc-linux-amd64-1.2.0.tar.gz |
mingdaoyun-ldoc 文档预览,基于 LibreOffice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-ldoc-linux-amd64-1.0.0.tar.gz |
mingdaoyun-sc 存储组件 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-sc-linux-amd64-2.0.0.tar.gz |
mingdaoyun-command 代码块 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-command-linux-amd64-node1018-python36.tar.gz |
mingdaoyun-dataclean-app 应用数据清理 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-dataclean-app-linux-amd64-1.0.0.tar.gz |
mingdaoyun-archivetools 日志数据归档 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-archivetools-linux-amd64-1.0.0.tar.gz |
名称 | 下载链接 |
---|---|
mingdaoyun-community 微服务 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-community-linux-arm64-5.0.2.tar.gz |
mingdaoyun-file 文件存储 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-file-linux-arm64-1.5.0.tar.gz |
mingdaoyun-flink 数据集成 | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-flink-linux-arm64-1.17.1.500.tar.gz |
mingdaoyun-doc 文档预览,基于 OnlyOffice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-doc-linux-arm64-1.2.0.tar.gz |
mingdaoyun-ldoc 文档预览,基于 LibreOffice | - |
mingdaoyun-sc 存储组件 | - |
mingdaoyun-command 代码块 | - |
mingdaoyun-dataclean-app 应用数据清理 | - |
mingdaoyun-archivetools 日志数据归档 | - |
首次进行单机模式离线部署时,默认仅需下载
mingdaoyun-community
、mingdaoyun-doc
、mingdaoyun-sc
、mingdaoyun-command
四个离线镜像包即可,上传到服务器后通过docker load -i xxx.tar.gz
命令进行加载如需下载旧版本的离线镜像包,默认仅需要改动下载链接中的版本号即可
镜像包下载并上传到对应部署服务器后,需通过以下命令导入镜像才可使用:
- Docker
- Kubernetes
导入镜像
docker load -i xxx.tar.gz
查看镜像
docker images
解压镜像文件
gunzip -d xxx.tar.gz
导入镜像
ctr -n k8s.io image import xxx.tar
查看镜像
crictl images