Docker 学习笔记（1）

http://wiki.jikexueyuan.com/project/docker/userguide/dockerhub.html

http://www.voidcn.com/article/p-dkzovvph-bhg.html

官网资料 ：https://docs.docker.com/get-started/
再Ubuntu下安装Docker完成后，操作：

1.查看docker版本

dockers --version

ubuntu@VM-0-13-ubuntu:~$ docker --version
Docker version 18.09.2, build 6247962

2.使用非特权账户出现错误：

”Got permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get http://%2Fvar%2Frun%2Fdocker.sock/v1.26/images/json: dial unix /var/run/docker.sock: connect: permission denied“

解决方法：将当前用户加入安装中自动创建的docker用户组

sudo usermod -aG docker  此处为自己的用户名

重新链接即可。

3.获取一个Ubuntu系统镜像

docker pull ubuntu:18.04

完整命令 格式：docker [image] pull NAME:[:TAG] (名称+标签)
不指定标签 TAG ，则使用最新的版本镜像。

如果从非官方仓库下载，需要指出下载仓库的完整地址：

4.查看Ubuntu系统镜像 docker iamges

ubuntu@VM-0-13-ubuntu:~$ docker images
REPOSITORY          TAG                 IMAGE ID            CREATED             SIZE
ubuntu              18.04               94e814e2efa8        2 days ago          88.9MB
仓库镜像             标签					ID				镜像最后更新的时间                      

5.使用Ubuntu系统镜像 run

ubuntu@VM-0-13-ubuntu:~$ docker run -it ubuntu:18.04 bash
root@c0dbec1ccba7:/# echo "Hello World"
Hello World
root@c0dbec1ccba7:/# exit                                           退出
exit

6.重命名标签

 docker tag ubuntu:18.04 haha-xiaofeixia:000

ubuntu@VM-0-13-ubuntu:~$ docker tag ubuntu:18.04 haha-xiaofeixia:000
ubuntu@VM-0-13-ubuntu:~$ docker images
REPOSITORY          TAG                 IMAGE ID            CREATED            SIZE
haha-xiaofeixia     000                 94e814e2efa8        2 days ago          88.9MB      新命名的小飞侠
ubuntu              18.04               94e814e2efa8        2 days ago          88.9MB

添加标签是添加一个类似链接作用的别名。

7.删除镜像

7.1 使用标签删除

使用 docker rmi 或者 docker image rm 命令

ubuntu@VM-0-13-ubuntu:~$ docker rmi haha-xiaofeixia:000
Untagged: haha-xiaofeixia:000                            删除成功
ubuntu@VM-0-13-ubuntu:~$ docker images
REPOSITORY          TAG                 IMAGE ID            CREATED             SIZE
ubuntu              18.04               94e814e2efa8        2 days ago          88.9MB

7.2 使用镜像ID删除

docker rmi + ID

8.清理镜像

docker image prune

• -f . force 强制删除镜像，不提示。
• -a . all 强制所有无用镜像。
• -filter . filter 只清理符合给定过滤器的镜像。

9.创建镜像 最重要的一部分，单独开blog

10.搜索镜像

docker search [option] keyword

• -f . --filter 过滤输出内容。
• --format string:格式化输出内容。
• --limit int :限制输出结果个数，默认为25个。
• --no - trunc :不截断输出结果。

搜索stars超过4的关键词包含tensorflow的镜像
ubuntu@VM-0-13-ubuntu:~$ docker search --filter=stars=4 tensorflow
NAME                             DESCRIPTION                                     STARS               OFFICIAL            AUTOMATED
tensorflow/tensorflow            Official Docker images for the machine learn…   1338                     
jupyter/tensorflow-notebook      Jupyter Notebook Scientific Python Stack w/ …   117                      
xblaster/tensorflow-jupyter      Dockerized Jupyter with tensorflow              52                                      [OK]
tensorflow/serving               Official images for TensorFlow Serving (http…   42                       
rocm/tensorflow                  Tensorflow with ROCm backend support            19                       
floydhub/tensorflow              tensorflow                                      17                                      [OK]
bitnami/tensorflow-serving       Bitnami Docker Image for TensorFlow Serving     13                                      [OK]
opensciencegrid/tensorflow-gpu   TensorFlow GPU set up for OSG                   8   

11.其他镜像命令

列出各层的常见信息

docker history ubuntu:18.04 

获取镜像的详细信息

docker [image] inspect ubuntu:18.04

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参考资料：《Docker 技术入门与实战》第三版
还是看官网上面的教程吧，官网上面的最佳 https://docs.docker.com/get-started/part2/

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安装 Docker

参考自官网

li@li-System-Product-Name:~$ sudo apt-get update

li@li-System-Product-Name:~$ sudo apt-get install \
> apt-transport-https \
> ca-certificates \
> curl \
> gnupg-agent \
> software-properties-common

li@li-System-Product-Name:~$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
OK
li@li-System-Product-Name:~$ sudo apt-key fingerprint 0EBFCD88
pub   rsa4096 2017-02-22 [SCEA]
      9DC8 5822 9FC7 DD38 854A  E2D8 8D81 803C 0EBF CD88
uid           [ unknown] Docker Release (CE deb) 
sub   rsa4096 2017-02-22 [S]

li@li-System-Product-Name:~$ sudo add-apt-repository \
> "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
> $(lsb_release -cs) \
> stable"

li@li-System-Product-Name:~$ sudo apt-get update
li@li-System-Product-Name:~$ sudo apt-get install docker-ce docker-ce-cli containerd.io

测试

li@li-System-Product-Name:~$ sudo docker run hello-world
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
1b930d010525: Already exists 
Digest: sha256:92695bc579f31df7a63da6922075d0666e565ceccad16b59c3374d2cf4e8e50e
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/