RichQueue

💰 RichQueue: A colourful and pythonic SLURM queue viewer

Installation from a modern python environment (>3.10) should be as simple as:

pip install --upgrade richqueue

To see your live-updating SLURM queue:

rq

Other rq options

To see more detail:

rq --long

To see someone else's queue:

rq --user USER

To see the last X weeks history:

rq --hist X

To see history for a given time period, e.g.:

rq --hist '3 days'

To list available nodes on the cluster:

rq --idle

To show a static view:

rq --no-loop

Monitoring log files

If you keep your SLURM log files in a specific directory exported as the LOGS variable, you can use RichQueue to monitor results as they come in with

res <JOB_ID>

Changing to the working directory of a job

To change to the submission/working directory of a job:

cd $(res --dir <JOB_ID>)

You might find it convenient to add a shortcut to this to your login profile, e.g. .bashrc_user or .bash_profile:

res --install-jd >> ~/.bashrc_user
source ~/.bashrc_user

This will make the jd executable available. Change to the directory of the single active or most recently submitted job:

jd

Change to a specific job's directory:

jd <JOB_ID>

Submitting SLURM jobs

RichQueue also provides a convenient wrapper to the sbatch command which makes sure your log files end up in the directory specified by the LOGS variable, and prints a pretty summary of the submitted job. Just replace sbatch with sb. E.g.:

sb --job-name test script.sh --script-arg1

Would run this under the hood:

sbatch --output=$LOGS/%j.log --error=$LOGS/%j.log --job-name test script.sh --script-arg1

and display the following: