Trigger Bolt schedules from Airflow

Use the Paradime Airflow provider to trigger Bolt schedules from your Apache Airflow DAGs, wait for runs to complete, and download dbt™ run artifacts, so Bolt runs fit into your broader orchestration. The provider is published on the Astronomer Registry: airflow-provider-paradime-dbt.

Install

pip install airflow-provider-paradime-dbt

Then create a Paradime connection in Airflow using an API key (key, secret, and endpoint), and reference it with conn_id. See the Airflow operator reference for connection setup.

ParadimeBoltDbtScheduleRunOperator identifies the schedule with either slug (stable) or schedule_name, and also accepts commands, branch, and retry_from_failure.

Trigger a Bolt schedule

This DAG triggers a run for a Bolt schedule, checks the run’s status, and extracts the dbt™ artifacts.

from airflow.decorators import dag  # type: ignore[import]

from paradime_dbt_provider.operators.paradime import ParadimeBoltDbtScheduleRunArtifactOperator, ParadimeBoltDbtScheduleRunOperator
from paradime_dbt_provider.sensors.paradime import ParadimeBoltDbtScheduleRunSensor

PARADIME_CONN_ID = "your_paradime_conn_id"  # Update this to your connection id
BOLT_SCHEDULE_SLUG = "your_schedule_slug"  # Update this to your schedule slug


@dag(
    default_args={"conn_id": PARADIME_CONN_ID},
)
def run_schedule_and_download_manifest():
    # Run the schedule and return the run id as the xcom return value
    task_run_schedule = ParadimeBoltDbtScheduleRunOperator(task_id="run_schedule", slug=BOLT_SCHEDULE_SLUG)

    # Get the run id from the xcom return value
    run_id = "{{ task_instance.xcom_pull(task_ids='run_schedule') }}"

    # Wait for the schedule to complete before continuing
    task_wait_for_schedule = ParadimeBoltDbtScheduleRunSensor(task_id="wait_for_schedule", run_id=run_id)

    # Download the manifest.json file from the schedule run and return the path as the xcom return value
    task_download_manifest = ParadimeBoltDbtScheduleRunArtifactOperator(task_id="download_manifest", run_id=run_id, artifact_path="target/manifest.json")

    # Get the path to the manifest.json file from the xcom return value
    output_path = "{{ task_instance.xcom_pull(task_ids='download_manifest') }}"

    task_run_schedule >> task_wait_for_schedule >> task_download_manifest


run_schedule_and_download_manifest()

Trigger a Bolt schedule with custom commands

This DAG overrides the dbt™ commands the run executes at runtime, then checks the run’s status and extracts the artifacts.

from airflow.decorators import dag  # type: ignore[import]

from paradime_dbt_provider.operators.paradime import ParadimeBoltDbtScheduleRunArtifactOperator, ParadimeBoltDbtScheduleRunOperator
from paradime_dbt_provider.sensors.paradime import ParadimeBoltDbtScheduleRunSensor

PARADIME_CONN_ID = "your_paradime_conn_id"  # Update this to your connection id
BOLT_SCHEDULE_SLUG = "your_schedule_slug"  # Update this to your schedule slug


@dag(
    default_args={"conn_id": PARADIME_CONN_ID},
)
def run_schedule_with_custom_commands():
    # Define the custom commands to run
    custom_commands = ["dbt run", "dbt test"]

    # Run the schedule with custom commands and return the run id as the xcom return value
    task_run_schedule = ParadimeBoltDbtScheduleRunOperator(task_id="run_schedule", slug=BOLT_SCHEDULE_SLUG, commands=custom_commands)

    # Get the run id from the xcom return value
    run_id = "{{ task_instance.xcom_pull(task_ids='run_schedule') }}"

    # Wait for the schedule to complete before continuing
    task_wait_for_schedule = ParadimeBoltDbtScheduleRunSensor(task_id="wait_for_schedule", run_id=run_id)

    # Download the manifest.json file from the schedule run and return the path as the xcom return value
    task_download_manifest = ParadimeBoltDbtScheduleRunArtifactOperator(task_id="download_manifest", run_id=run_id, artifact_path="target/manifest.json")

    # Get the path to the manifest.json file from the xcom return value
    output_path = "{{ task_instance.xcom_pull(task_ids='download_manifest') }}"

    task_run_schedule >> task_wait_for_schedule >> task_download_manifest


run_schedule_with_custom_commands()

Schedule Anatomy

Deploy Schedules

Managing Schedules

CI/CD

Trigger Bolt schedules from Airflow

Install

Trigger a Bolt schedule

Trigger a Bolt schedule with custom commands

​Install

​Trigger a Bolt schedule

​Trigger a Bolt schedule with custom commands

Install

Trigger a Bolt schedule

Trigger a Bolt schedule with custom commands