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LetsDevOps: How to Run, Orchestrate Databricks Job using Apache Airflow

Introduction

In this blog we will learn how to orchestrate databricks job using Airflow.

Architecture

Prerequisite

Airflow Environment

https://www.letsdevops.net/post/letsdevops-how-to-run-orchestrate-databricks-job-using-apache-airflow

2. Databricks workflow

Configuration

Step 1: Create Connection in Airflow for Databricks workflow

1.1. Login as Admin to the Airflow

1.2 Add the connection

1.3 Add the Pat Token

1.4 Test the connection and Save

Step 2: Create DAG (Directed Acyclic Graph)

from airflow import DAG

from airflow.providers.databricks.operators.databricks import DatabricksRunNowOperator

from airflow.utils.dates import days_ago

default_args = {

  'owner': 'airflow'

with DAG('databricks_dag',

  start_date = days_ago(2),

  schedule_interval = None,

  default_args = default_args

  ) as dag:

  opr_run_now = DatabricksRunNowOperator(

    task_id = 'run_now',

    databricks_conn_id = 'databricks_default',

    job_id = JOB_ID

Step 3: Update the above code [JOB ID with the Databricks Job ID ] and save it as databricks_dag.py in the DAG working folder.

Step 4: Once you place the databricks_dag.py you will see the DAG in the portal.

This is my example. You can find your airflow installation folder and place the file in the dags folder.

Step 5: Verify the DAG is visible in the portal.

Running the DAG

We can run the dag manually or we can schedule it.

How to run Manaually.

Github Code

https://github.com/sumitraj0103/Letsdevops/tree/main/mlops_demo/airflow_dags

Troubleshooting

Item: 1

Databricks Connection type is missing

https://pypi.org/project/apache-airflow-providers-databricks/

Install on the worker Node and webserver node

pip install apache-airflow-providers-databricks

https://registry.astronomer.io/

Item: 2

Broken DAG: [/opt/airflow/dags/databricks_dag.py] Traceback (most recent call last): File "<frozen importlib._bootstrap>", line 219, in callwith_frames_removed File "/opt/airflow/dags/databricks_dag.py", line 2, in <module> from airflow.providers.databricks.operators.databricks import DatabricksRunNowOperator ModuleNotFoundError: No module named 'airflow.providers.databricks'