Scheduled Jobs - Docs

This section explains the mechanism for scheduling data pipelines created with SQL or Python.

By using functions such as SQL’s load_data or Python’s @morph.load_data(), you can construct multiple processes as a pipeline. By scheduling the execution of this pipeline, you can automate regular tasks such as daily sales aggregation.

You can schedule execution by configuring morph_project.yml as follows:

morph_project.yml
# Scheduled Jobs
scheduled_jobs:
    function_name_1:
        schedules:
        - cron: "cron(0 12 * * 2)"
            is_enabled: false
            timezone: "UTC"
            variables:
                notify: true
                email: "alert@example.com"

Specify the SQL or Python function name for function_name_1. If the pipeline has continuous processes, specify the last function in the process to execute the pipeline in order from the first function.

After deployment, you can check the configured jobs and logs from the “Jobs” tab in the cloud.

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