Break up installation document

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Carol Willing
2017-07-18 11:43:52 -07:00
parent a7889eb536
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# Configuration Basics
The [getting started document](docs/source/getting-started.md) contains
detailed information abouts configuring a JupyterHub deployment.
The JupyterHub **tutorial** provides a video and documentation that explains
and illustrates the fundamental steps for installation and configuration.
[Repo](https://github.com/jupyterhub/jupyterhub-tutorial)
| [Tutorial documentation](http://jupyterhub-tutorial.readthedocs.io/en/latest/)
## Generate a default configuration file
Generate a default config file:
jupyterhub --generate-config
## Customize the configuration, authentication, and process spawning
Spawn the server on ``10.0.1.2:443`` with **https**:
jupyterhub --ip 10.0.1.2 --port 443 --ssl-key my_ssl.key --ssl-cert my_ssl.cert
The authentication and process spawning mechanisms can be replaced,
which should allow plugging into a variety of authentication or process
control environments. Some examples, meant as illustration and testing of this
concept, are:
- Using GitHub OAuth instead of PAM with [OAuthenticator](https://github.com/jupyterhub/oauthenticator)
- Spawning single-user servers with Docker, using the [DockerSpawner](https://github.com/jupyterhub/dockerspawner)

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* :doc:`quickstart`
* :doc:`getting-started`
* :doc:`quickstart-docker`
**Configuration Reference**

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# Installation with Docker
.. important::
We highly recommend following the `Zero to JupyterHub`_ tutorial for
installing JupyterHub.
A ready to go `docker image <https://hub.docker.com/r/jupyterhub/jupyterhub/>`_
gives a straightforward deployment of JupyterHub.
.. note::
This ``jupyterhub/jupyterhub`` docker image is only an image for running
the Hub service itself. It does not provide the other Jupyter components,
such as Notebook installation, which are needed by the single-user servers.
To run the single-user servers, which may be on the same system as the Hub or
not, Jupyter Notebook version 4 or greater must be installed.
## Starting JupyterHub with docker
The JupyterHub docker image can be started with the following command::
docker run -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
This command will create a container named ``jupyterhub`` that you can
**stop and resume** with ``docker stop/start``.
The Hub service will be listening on all interfaces at port 8000, which makes
this a good choice for **testing JupyterHub on your desktop or laptop**.
If you want to run docker on a computer that has a public IP then you should
(as in MUST) **secure it with ssl** by adding ssl options to your docker
configuration or using a ssl enabled proxy.
`Mounting volumes <https://docs.docker.com/engine/userguide/containers/dockervolumes/>`_
will allow you to store data outside the docker image (host system) so it will
be persistent, even when you start a new image.
The command ``docker exec -it jupyterhub bash`` will spawn a root shell in your
docker container. You can use the root shell to **create system users in the container**.
These accounts will be used for authentication in JupyterHub's default
configuration.
.. _Zero to JupyterHub: https://zero-to-jupyterhub.readthedocs.io/en/latest/

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## Prerequisites
**Before installing JupyterHub**, you will need a Linux/Unix based system:
Before installing JupyterHub, you will need:
- [Python](https://www.python.org/downloads/) 3.3 or greater. An understanding
- a Linux/Unix based system
- [Python](https://www.python.org/downloads/) 3.4 or greater. An understanding
of using [`pip`](https://pip.pypa.io/en/stable/) or
[`conda`](http://conda.pydata.org/docs/get-started.html) for
installing Python packages is helpful.
- [nodejs/npm](https://www.npmjs.com/) [Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node),
- [nodejs/npm](https://www.npmjs.com/). [Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node),
using your operating system's package manager. For example, install on Linux
(Debian/Ubuntu) using:
Debian/Ubuntu using:
```bash
sudo apt-get install npm nodejs-legacy
```
(The `nodejs-legacy` package installs the `node` executable and is currently
required for npm to work on Debian/Ubuntu.)
The `nodejs-legacy` package installs the `node` executable and is currently
required for `npm` to work on Debian/Ubuntu.
- TLS certificate and key for HTTPS communication
- Domain name
**Before running the single-user notebook servers** (which may be on the same
system as the Hub or not):
Before running the single-user notebook servers (which may be on the same
system as the Hub or not), you will need:
- [Jupyter Notebook](https://jupyter.readthedocs.io/en/latest/install.html)
version 4 or greater
@@ -43,11 +43,12 @@ python3 -m pip install notebook # needed if running the notebook servers locally
**conda** (one command installs jupyterhub and proxy):
```bash
conda install -c conda-forge jupyterhub
conda install -c conda-forge jupyterhub # installs jupyterhub and proxy
conda install notebook # needed if running the notebook servers locally
```
To test your installation:
Test your installation. If installed, these commands should return the packages'
help contents:
```bash
jupyterhub -h
@@ -65,7 +66,7 @@ jupyterhub
Visit `https://localhost:8000` in your browser, and sign in with your unix
credentials.
To allow multiple users to sign into the Hub server, you must start
To **allow multiple users to sign in** to the Hub server, you must start
`jupyterhub` as a *privileged user*, such as root:
```bash
@@ -73,75 +74,5 @@ sudo jupyterhub
```
The [wiki](https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges)
describes how to run the server as a *less privileged user*, which requires
describes how to run the server as a *less privileged user*. This requires
additional configuration of the system.
----
## Basic Configuration
The [getting started document](docs/source/getting-started.md) contains
detailed information abouts configuring a JupyterHub deployment.
The JupyterHub **tutorial** provides a video and documentation that explains
and illustrates the fundamental steps for installation and configuration.
[Repo](https://github.com/jupyterhub/jupyterhub-tutorial)
| [Tutorial documentation](http://jupyterhub-tutorial.readthedocs.io/en/latest/)
#### Generate a default configuration file
Generate a default config file:
jupyterhub --generate-config
#### Customize the configuration, authentication, and process spawning
Spawn the server on ``10.0.1.2:443`` with **https**:
jupyterhub --ip 10.0.1.2 --port 443 --ssl-key my_ssl.key --ssl-cert my_ssl.cert
The authentication and process spawning mechanisms can be replaced,
which should allow plugging into a variety of authentication or process
control environments. Some examples, meant as illustration and testing of this
concept, are:
- Using GitHub OAuth instead of PAM with [OAuthenticator](https://github.com/jupyterhub/oauthenticator)
- Spawning single-user servers with Docker, using the [DockerSpawner](https://github.com/jupyterhub/dockerspawner)
----
## Alternate Installation using Docker
A ready to go [docker image for JupyterHub](https://hub.docker.com/r/jupyterhub/jupyterhub/)
gives a straightforward deployment of JupyterHub.
*Note: This `jupyterhub/jupyterhub` docker image is only an image for running
the Hub service itself. It does not provide the other Jupyter components, such
as Notebook installation, which are needed by the single-user servers.
To run the single-user servers, which may be on the same system as the Hub or
not, Jupyter Notebook version 4 or greater must be installed.*
#### Starting JupyterHub with docker
The JupyterHub docker image can be started with the following command:
docker run -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
This command will create a container named `jupyterhub` that you can
**stop and resume** with `docker stop/start`.
The Hub service will be listening on all interfaces at port 8000, which makes
this a good choice for **testing JupyterHub on your desktop or laptop**.
If you want to run docker on a computer that has a public IP then you should
(as in MUST) **secure it with ssl** by adding ssl options to your docker
configuration or using a ssl enabled proxy.
[Mounting volumes](https://docs.docker.com/engine/userguide/containers/dockervolumes/)
will allow you to **store data outside the docker image (host system) so it will be persistent**,
even when you start a new image.
The command `docker exec -it jupyterhub bash` will spawn a root shell in your
docker container. You can **use the root shell to create system users in the container**.
These accounts will be used for authentication in JupyterHub's default
configuration.

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:maxdepth: 3
quickstart
quickstart-docker
config-basics
getting-started