目录
docker pull jpetazzo/nsenter
docker run --rm -v /usr/bin:/target jpetazzo/nsenter
docker run --rm -v /usr/local/bin:/target jpetazzo/nsenter
wget -P ~ https://github.com/yeasy/docker_practice/raw/master/_local/.bashrc_docker --no-check-certificate;
echo "[ -f ~/.bashrc_docker ] && . ~/.bashrc_docker" >> ~/.bashrc; source ~/.bashrc
docker run -idt -v /home/work/daiwenkai:/home/data 390b21e493af /bin/bash
docker images
REPOSITORY                                           TAG                 IMAGE ID            CREATED             VIRTUAL SIZE
ubuntu                            ru                   latest              f5bb94a8fac4        11 days ago         117.3 MB
registry.baidu.com/daiwenkai/deep-learning-factory   1.0.2               390b21e493af        7 weeks ago         2.174 GB
tensorflow/tensorflow                                latest              05a46e5af4d3        8 weeks ago         1.028 GB
registry.baidu.com/public/centos6u3                  1.0.1               9a6d077da3a3        23 months ago       1.363 GB
docker ps
CONTAINER ID        IMAGE                 COMMAND             CREATED              STATUS              PORTS                NAMES
ffd32a5b82f7        ubuntu:latest         "/bin/bash"         About a minute ago   Up About a minute                        loving_torvalds     
166ab859e45c        390b21e493af:latest   "/bin/bash"         6 weeks ago          Up 6 weeks          6006/tcp, 8888/tcp   lonely_bartik 
kill并rm所有container
docker ps -aq | xargs docker rm -f 
docker-enter ffd32a5b82f7
docker pull ubuntu
docker commit -m "1.0.1 version" ffd32a5b82f7 registry.baidu.com/daiwenkai/scrapy-framework:1.0.1
docker push registry.baidu.com/daiwenkai/scrapy-framework:1.0.1
导出image
docker save -o scrapy-framework.docker.tar 8ce4bbc775d2
导入image
docker load -i scrapy-framework.docker.tar 
导出container
docker export ffd32a5b82f7 > scrapy-framework.1.0.1.tar    
导入container对应的image,启动时,和之前的container一样
cat scrapy-framework.tar | docker import - daiwk/scrapy-framework  
cat deep-learning-factory.1.0.3.tar | docker import - test/deep-learning-factory  
不用交互式shell,直接执行命令。(注意:命令不能加”“。。。另外,好像也不能有&&之类的[可以后续再探索探索。。。])
其中:
cat /home/disk0/daiwk_img_data/demo_scrapy/lp_mining/lp_spider/containerid | xargs -i docker exec -dt {} /bin/bash /home/data/demo_scrap
y/lp_mining/lp_spider/run_all_images.sh 
cat /home/disk0/daiwk_img_data/demo_scrapy/lp_mining/lp_spider/containerid | xargs -i docker exec {} tail /home/data/demo_scrapy/lp_min
ing/lp_spider/crawl.images8.log
在win7安装时,要用docker toolbox(https://download.docker.com/win/stable/DockerToolbox.exe)
win10以上时,用docker-ce(https://store.docker.com/editions/community/docker-ce-desktop-windows?tab=description)