DSS plugin to add support for Julia language.
After installing the plugin, an administrator has to run the Julia installation script $DSS_HOME/bin/dssadmin install-julia-integration. The script will take a few minutes to create the code environment, download the required libraries, precompile them and create a Jupyter kernel.
After the installation, it will be possible to create and execute Julia recipes the same way you would use any other code recipes. Jupyter notebooks will also be available in Julia.
Creation of a Julia recipe from the actions panel :
Creation of Julia notebooks :
Inside recipes and notebooks, use the package Dataiku.jl to interact with DSS. This package is a wrapper around the DSS Public API and provides functions to read and write datasets and folders in DSS easily. See the documentation on the package's README.md
Example of a Julia recipe :
For now, it is not possible to have multiple code environments in Julia. Therefore, all the julia recipes and notebooks will use the same environment that is located at $DSS_HOME/code-envs/julia. To install or remove packages, this environment has to be managed manually using the julia's built-in package manager, there are 2 ways to do that :
- By using Pkg inside a Jupyter notebook in DSS (see example below)
- By running
juliawith the environment variableJULIA_DEPOT_PATH=$DSS_HOME/code-envs/julia
Example of a Julia notebook for managing the code environment :
This plugin requires DSS >= 8.0. The Julia language must be installed on the machine.