Supported and custom Job types

Learn about Domino’s natively supported Job types and languages, as well as how to create custom Job types to support your specific needs.

Domino has native support for running a wide variety of different types of Jobs, both in a single container and using on-demand, auto-scaling clusters. Additionally, Domino lets you customize the type of programming languages and applications that can be used in Domino Jobs to achieve nearly any type of computational workload. This flexibility lets you do things like large-scale data preparation, distributed GPU deep learning model training, and more.

Natively supported Job types

The following lists the supported file types and the commands that Domino executes when it runs the file type:

Language Filetype/Keyword Invocation

Language	Filetype/Keyword	Invocation
Python	`py`	`python -u`
R	`r`	`R --no-save --no-environ --no-site-file --no-restore --max-ppsize=100000`
Spark	`--spark`	`python /spark-submit-wrapper.py`
Markdown	`rmd`/`rhtml`	`R -e require('knitr'); knit('file_name')`
Bash	`sh`	`bash file_name`
Matlab	`m`	`matlab_executable_name`
Perl	`pl`	`perl file_name`
Julia	`jl`	`julia file_name`
Python notebook	`ipynb`	`ipython nbconvert -to notebook --execute file_name --output file_name`
Fsharp	`fsx`	`fsharpi file_name`
Sas	`sas`/`wp`	`run_sas.sh file_name`

Python

py

python -u

r

R --no-save --no-environ --no-site-file --no-restore --max-ppsize=100000

Spark

--spark

python /spark-submit-wrapper.py

Markdown

rmd/rhtml

R -e require('knitr'); knit('file_name')

Bash

sh

bash file_name

Matlab

m

matlab_executable_name

Perl

pl

perl file_name

Julia

jl

julia file_name

Python notebook

ipynb

ipython nbconvert -to notebook --execute file_name --output file_name

Fsharp

fsx

fsharpi file_name

Sas

sas/wp

run_sas.sh file_name

Next step

Learn about all the ways you can launch a Job.