下面按常见使用场景给你讲一下 Ubuntu + Docker 的环境配置方法,从“装 Docker”到“跑 Ubuntu 容器并配置环境”。
sudo apt update
sudo apt upgrade -y
sudo apt install -y \
ca-certificates \
curl \
gnupg \
lsb-release
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | \
sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
echo \
"deb [arch=$(dpkg --print-architecture) \
signed-by=/etc/apt/keyrings/docker.gpg] \
https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt update
sudo apt install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin
sudo docker version
sudo docker run hello-world
sudo usermod -aG docker $USER
⚠️ 退出重新登录生效
docker pull ubuntu:22.04
docker run -it --name ubuntu-env ubuntu:22.04 bash
常用参数:
docker run -it \
-p 8080:8080 \
-v $(pwd):/workspace \
--name ubuntu-env \
ubuntu:22.04 bash
参数说明:
-it:交互模式-p:端口映射-v:挂载目录--name:容器名进入容器后(默认是最小系统):
apt update
apt upgrade -y
apt install -y \
vim \
curl \
wget \
git \
net-tools \
python3 \
python3-pip
FROM ubuntu:22.04
ENV DEBIAN_FRONTEND=noninteractive
RUN apt update && apt install -y \
vim \
git \
curl \
python3 \
python3-pip
WORKDIR /workspace
CMD ["bash"]
docker build -t my-ubuntu .
docker run -it -v $(pwd):/workspace my-ubuntu
version: "3"
services:
ubuntu:
image: ubuntu:22.04
container_name: ubuntu-env
stdin_open: true
tty: true
volumes:
- ./workspace:/workspace
ports:
- "8080:8080"
运行:
docker compose up -d
docker exec -it ubuntu-env bash
apt install -y python3 python3-venv
python3 -m venv venv
source venv/bin/activate
apt install -y openjdk-17-jdk
curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
apt install -y nodejs
docker run -it ubuntuDockerfiledocker-compose-v 挂载如果你有具体用途(比如:深度学习 / Web 服务 / C++ 编译 / ROS),我可以给你一份专用配置方案。