Batch Connect - OSC Jupyter

An interactive app designed for OSC OnDemand that launches a Jupyter server within an Owens batch job.

Prerequisites

This Batch Connect app requires the following software be installed on the compute nodes that the batch job is intended to run on (NOT the OnDemand node):

• Lmod 6.0.1+ or any other module purge and module load <modules> based CLI used to load appropriate environments within the batch job before launching the Jupyter server.
• Jupyter 4.2.3+ (earlier versions are untested but may work for you)
• OpenSSL 1.0.1+ (used to hash the Jupyter server password)

Install

Use Git to clone this app and checkout the desired branch/version you want to use:

scl enable git19 -- git clone <repo>
cd <dir>
scl enable git19 -- git checkout <tag/branch>

You will not need to do anything beyond this as all necessary assets are installed. You will also not need to restart this app as it isn't a Passenger app.

To update the app you would:

cd <dir>
scl enable git19 -- git fetch
scl enable git19 -- git checkout <tag/branch>

Again, you do not need to restart the app as it isn't a Passenger app.

Using Julia kernels

Using Julia modules at OSC depends on the user intializing the environment and having IJulia for that particular version.

As an example, before this app will recoginize the julia/1.5.3 module as a valid kernel choice, the user must have an existing v1.5 environment. The user must also have added the IJulia package to that environment.

The easiest way to do this is:

• get a terminal where the module is available and load it
• start an interactive julia session with the command julia
• press ] to active pkg
• type activate to be sure you're using the right environment
• type add IJulia to add the IJulia package to this enviroment

Contributing

1. Fork it ( https://github.com/OSC/bc_osc_jupyter/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

License

• Documentation, website content, and logo is licensed under CC-BY-4.0
• Code is licensed under MIT (see LICENSE.txt)
• The Jupyter logo is a trademark of NumFOCUS foundation.