jupyterhub docker 安装

canoziia
2020-02-23 / 0 评论 / 54 阅读 / 正在检测是否收录...

这个jupyterhub自带了notebook和jupyterlab
先创建一个ubuntu18.04容器

docker run  -d --hostname jupyterlab-server --name jupyterhub -p 83:8000  -i -t ubuntu:18.04 /bin/bash
#然后进入容器
docker exec -it jupyterhub /bin/bash
#按照正常方法安装anaconda
wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2019.10-Linux-x86_64.sh
bash Anaconda3-2019.10-Linux-x86_64.sh
conda install -c conda-forge jupyterhub

然后进行配置
注意c.JupyterHub.ip = 'your-ip'不要填127.0.0.1(不然访问不了)
其余随便
然后chmod -R 777 /home(很重要不然会500)

就可以了

说一下踩过的坑:

  1. c.JupyterHub.ip = ''
    要是设成127.0.0.1,反代之后就无法访问(refused)
  2. 以/home目录存放文件时,没有chmod -R 777 /home 则报500 错误
  3. c.Spawner.ip = '*'
    则报503
    4.上述一切做好后,会发现连不上内核??因为反代没设置好。需要在nginx主配置http里加

     map $http_upgrade $connection_upgrade {
        default upgrade;
        ''      close;
    }

    反代配置为:

    #PROXY-START/
    location /
    {
        proxy_pass http://127.0.0.1:83;
        proxy_redirect   off;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
         add_header X-Cache $upstream_cache_status;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection $connection_upgrade;
        #Set Nginx Cache   
    add_header Cache-Control no-cache;
        expires 12h;
        }
        #PROXY-END/

配置文件:jupyterhubconfig.zip

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