scheduler

Description

kerberos.py implementation do not account for the case where you need to use a forwardable token or a token without IP.
The kinit option -f (to allow forwardable token) and -A (to remove IP) are mandatory in my setup.
As Airflow run inside a docker and is provided with a kerberos token for the docker host.

Use case / motivation

When running inside a doc

Wrong example for python_artifact usage. Instead, it is showing the EventMetadata.float usage.
https://docs.dagster.io/_apidocs/solids#dagster.EventMetadata.python_artifact

there is the following example:
// runs./jobs/worker-8.jsat midnight (once) { name: 'worker-8', timeout: 'at 12:00 am' },

in my usecase i am running a job every 30 minutes that queries an api and dynamically adds jobs to be executed once.
My question is what happenes to the jobs in the queue after they are executed. Will finished jobs be cleared out automat