Edit and deduplicate the document text

This commit is contained in:
Carol Willing
2017-07-24 21:47:07 -07:00
parent 9fbb1417f2
commit 1404965b07
2 changed files with 69 additions and 77 deletions

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@@ -6,7 +6,7 @@ JupyterHub is supported on Linux/Unix based systems. To use JupyterHub, you need
a Unix server (typically Linux) running somewhere that is accessible to your
team on the network. The JupyterHub server can be on an internal network at your
organization, or it can run on the public internet (in which case, take care
with the Hub's [security](#security)).
with the Hub's [security](./security-basics.html)).
JupyterHub officially **does not** support Windows. You may be able to use
JupyterHub on Windows if you use a Spawner and Authenticator that work on

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@@ -4,12 +4,12 @@ JupyterHub is a set of processes that together provide a single user Jupyter
Notebook server for each person in a group.
This section gives you an overview of:
- JupyterHub's subsystems
- basic operations
- logging in
-
- JupyterHub's Subsystems: Hub, Proxy, Single-User Notebook Server
- how the subsystems interact
- the step-by-step events from JupyterHub access to user login
## Subsystems of JupyterHub
## The Subsystems: Hub, Proxy, Single-User Notebook Server
Three major subsystems are started by the `jupyterhub` command line program:
@@ -28,7 +28,7 @@ Three major subsystems are started by the `jupyterhub` command line program:
![JupyterHub subsystems](images/jhub-parts.png)
## Basic operation
## How the Subsystems Interact
Users access JupyterHub through a web browser, by going to the IP address or
the domain name of the server.
@@ -45,121 +45,113 @@ The proxy is the only process that listens on a public interface. The Hub sits
behind the proxy at `/hub`. Single-user servers sit behind the proxy at
`/user/[username]`.
Different **[authenticators](authenticators.html)** control access
Different **[authenticators](./authenticators.html)** control access
to JupyterHub. The default one (PAM) uses the user accounts on the server where
JupyterHub is running. If you use this, you will need to create a user account
on the system for each user on your team. Using other authenticators, you can
allow users to sign in with e.g. a GitHub account, or with any single-sign-on
system your organization has.
Next, **[spawners](spawners.html)** control how JupyterHub starts
Next, **[spawners](./spawners.html)** control how JupyterHub starts
the individual notebook server for each user. The default spawner will
start a notebook server on the same machine running under their system username.
The other main option is to start each server in a separate container, often
using Docker.
## Logging in
## Step-by-step events from JupyterHub access to user login
When a new browser logs in to JupyterHub, the following events take place:
When user accesses JupyterHub, the following events take place:
- Login data is handed to the [Authenticator](#authentication) instance for validation
- The Authenticator returns the username, if login information is valid
- A single-user server instance is [Spawned](#spawning) for the logged-in user
- When the server starts, the proxy is notified to forward `/user/[username]/*` to the single-user server
- Login data is handed to the [Authenticator](./authenticators.html) instance for
validation
- The Authenticator returns the username and if the login information is valid
- A single-user notebook server instance is [spawned](./spawners.html) for the
logged-in user
- When the single-user notebook server starts, the proxy is notified to forward
requests to `/user/[username]/*` to the single-user notebook server.
- Two cookies are set, one for `/hub/` and another for `/user/[username]`,
containing an encrypted token.
- The browser is redirected to `/user/[username]`, which is handled by the single-user server
- The browser is redirected to `/user/[username]`, and the request is handled by
the single-user notebook server.
Logging into a single-user server is authenticated via the Hub:
Logging into a single-user notebook server is authenticated via the Hub:
- On request, the single-user server forwards the encrypted cookie to the Hub for verification
- The Hub replies with the username if it is a valid cookie
- If the user is the owner of the server, access is allowed
- If it is the wrong user or an invalid cookie, the browser is redirected to `/hub/login`
## Customizing JupyterHub
There are two basic extension points for JupyterHub: How users are authenticated,
and how their server processes are started.
Each is governed by a customizable class,
and JupyterHub ships with just the most basic version of each.
To enable custom authentication and/or spawning,
subclass Authenticator or Spawner,
and override the relevant methods.
- On request, the single-user server forwards the encrypted cookie to the Hub
for verification.
- The Hub replies with the username if the encrypted cookie is valid.
- If the user is the owner of the single-user notebook server, access is
allowed.
- If it is the wrong user or an invalid cookie, the browser is redirected to
`/hub/login`.
## Default behavior
**IMPORTANT: You should not run JupyterHub without SSL encryption on a public network.**
See [Security documentation](#security) for how to configure JupyterHub to use SSL,
or put it behind SSL termination in another proxy server, such as nginx.
To start JupyterHub in its default configuration, type the following at the command line:
```bash
sudo jupyterhub
```
The default Authenticator that ships with JupyterHub authenticates users
with their system name and password (via [PAM][]).
Any user on the system with a password will be allowed to start a single-user notebook server.
The default Spawner starts servers locally as each user, one dedicated server per user.
These servers listen on localhost, and start in the given user's home directory.
By default, the **Proxy** listens on all public interfaces on port 8000.
Thus you can reach JupyterHub through either:
- `http://localhost:8000`
- or any other public IP or domain pointing to your system.
In their default configuration, the other services, the **Hub** and **Single-User Servers**,
all communicate with each other on localhost only.
In their default configuration, the other services, the **Hub** and
**Single-User Notebook Servers**, all communicate with each other on localhost
only.
By default, starting JupyterHub will write two files to disk in the current working directory:
By default, starting JupyterHub will write two files to disk in the current
working directory:
- `jupyterhub.sqlite` is the sqlite database containing all of the state of the **Hub**.
This file allows the **Hub** to remember what users are running and where,
as well as other information enabling you to restart parts of JupyterHub separately. It is
important to note that this database contains *no* sensitive information other than **Hub**
usernames.
- `jupyterhub.sqlite` is the SQLite database containing all of the state of the
**Hub**. This file allows the **Hub** to remember which users are running and
where, as well as storing other information enabling you to restart parts of
JupyterHub separately. It is important to note that this database contains
**no** sensitive information other than **Hub** usernames.
- `jupyterhub_cookie_secret` is the encryption key used for securing cookies.
This file needs to persist in order for restarting the Hub server to avoid invalidating cookies.
Conversely, deleting this file and restarting the server effectively invalidates all login cookies.
The cookie secret file is discussed in the [Cookie Secret documentation](#cookie-secret).
This file needs to persist so that a **Hub** server restart will avoid
invalidating cookies. Conversely, deleting this file and restarting the server
effectively invalidates all login cookies. The cookie secret file is discussed
in the [Cookie Secret section of the Security Basics document](./security-basics.html).
The location of these files can be specified via configuration.
The location of these files can be specified via configuration settings. It is
recommended that these files be stored in standard UNIX filesystem locations,
such as `/etc/jupyterhub` for all configuration files and `/srv/jupyterhub` for
all security and runtime files.
[PAM]: https://en.wikipedia.org/wiki/Pluggable_authentication_module
## Customizing JupyterHub
There are two basic extension points for JupyterHub:
- How users are authenticated
- How user's single-user notebook server processes are started
Each is governed by a customizable class, and JupyterHub ships with basic
defaults for each.
To enable custom authentication and/or spawning, subclass `Authenticator` or
`Spawner`, and override the relevant methods.
### Authentication
Authentication is customizable via the Authenticator class.
Authentication can be replaced by any mechanism,
such as OAuth, Kerberos, etc.
Authentication is customizable via the `Authenticator` class. Authentication can
be replaced by any mechanism, such as OAuth, Kerberos, etc.
JupyterHub only ships with [PAM](https://en.wikipedia.org/wiki/Pluggable_authentication_module) authentication,
which requires the server to be run as root,
or at least with access to the PAM service,
which regular users typically do not have
(on Ubuntu, this requires being added to the `shadow` group).
JupyterHub only ships with Default
[PAM, or pluggable authentication module,](https://en.wikipedia.org/wiki/Pluggable_authentication_module)
authentication. This requires the `jupyterhub` Hub server to be run as root,
or at least with access to the PAM service, which regular users typically do
not have (e.g. on Ubuntu, this requires being added to the `shadow` group).
[More info on custom Authenticators](authenticators.html).
[More info on custom Authenticators](./authenticators.html).
See a list of custom Authenticators [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
### Spawning
Each single-user server is started by a Spawner.
The Spawner represents an abstract interface to a process,
and needs to be able to take three actions:
Each single-user server is started by a Spawner. The Spawner represents an
abstract interface to a process, and needs to be able to take three actions:
1. start the process
2. poll whether the process is still running
3. stop the process
[More info on custom Spawners](spawners.html).
[More info on custom Spawners](./spawners.html).
See a list of custom Spawners [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Spawners).