Schedules can be used to run any selection of your datasets at a user-specified frequency. Running your code on a repeating schedule ensures output data is always kept up to date.
Schedules are created as part of an environment.
environments.json
fileCreate new schedule
on the environment in which the schedule should run (by default you will only have a single production
environment)environments.json
and push these to master
You can find all current and historical scheduled runs in the Run logs page, accessible using the left menu bar.
For projects using a remote git project (e.g. hosted on GitHub), a scheduler access token is required. More info on configuring git access tokens.