若终端输出类似以下信息,一般是docker镜像源未设置或有问题
bash
Unable to find image 'hello-world:latest' locally
docker: Error response from daemon: Get "https://registry-1.docker.io/v2/": context deadline exceeded (Client.Timeout exceeded while awaiting headers).
See 'docker run --help'.
解决方案:
bash
# 1. 停止 Docker 服务(避免占用)
sudo systemctl stop docker
# 2. 修改配置文件,添加镜像源
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": [
"https://do.nark.eu.org",
"https://dc.j8.work",
"https://docker.m.daocloud.io",
"https://dockerproxy.com",
"https://docker.mirrors.ustc.edu.cn",
"https://docker.nju.edu.cn",
"https://docker.xuanyuan.me",
"https://mirror.ccs.tencentyun.com",
"https://mirror.huaweicloud.com",
"https://docker.1ms.run"
]
}
EOF
# 3. 重新加载系统配置,重启 Docker
sudo systemctl daemon-reload
sudo systemctl restart docker
# 4. 查看 Docker 信息
docker info
# 终端输出的Registry Mirrors就是配置好的镜像源
Client: Docker Engine - Community
Version: 27.0.3
Context: default
Debug Mode: false
...
...
...
Registry Mirrors:
https://do.nark.eu.org/
https://dc.j8.work/
https://docker.m.daocloud.io/
https://dockerproxy.com/
https://docker.mirrors.ustc.edu.cn/
https://docker.nju.edu.cn/
https://docker.xuanyuan.me/
https://mirror.ccs.tencentyun.com/
https://mirror.huaweicloud.com/
https://docker.1ms.run/
Live Restore Enabled: false
# 5. 重新运行docker run hello-world
docker run hello-world
# 如果一切顺利,会输出以下信息
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
17eec7bbc9d7: Pull complete
Digest: sha256:f7931603f70e13dbd844253370742c4fc4202d290c80442b2e68706d8f33ce26
Status: Downloaded newer image for hello-world:latest
Hello from Docker!
This message shows that your installation appears to be working correctly.
To generate this message, Docker took the following steps:
1. The Docker client contacted the Docker daemon.
2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
(amd64)
3. The Docker daemon created a new container from that image which runs the
executable that produces the output you are currently reading.
4. The Docker daemon streamed that output to the Docker client, which sent it
to your terminal.
To try something more ambitious, you can run an Ubuntu container with:
$ docker run -it ubuntu bash
Share images, automate workflows, and more with a free Docker ID:
https://hub.docker.com/
For more examples and ideas, visit:
https://docs.docker.com/get-started/