How do you create and manage DAGs in Cloud Composer?
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How do you create and manage DAGs in Cloud Composer?
In Cloud Composer, which is Google Cloud’s fully managed workflow orchestration service built on Apache Airflow, Directed Acyclic Graphs (DAGs) are the central component for managing and scheduling data workflows.
To create a DAG in Cloud Composer, start by defining a Python script that outlines the workflow. A DAG file typically includes:
DAG metadata (e.g., dag_id, schedule_interval, start_date)
Tasks using Airflow Operators (e.g., PythonOperator, BashOperator, BigQueryOperator)
Dependencies between tasks using >> or set_upstream() methods
Once the DAG is written, upload the .py file to the /dags folder in the Cloud Composer environment’s Cloud Storage bucket (usually named gs://<environment-name>/dags/). Cloud Composer continuously watches this folder and automatically loads any DAGs placed here.
To manage DAGs:
Use the Airflow web UI (accessible via the Composer environment page) to enable, disable, trigger runs, and monitor task execution.
Use Airflow CLI for advanced DAG control like backfills and manual runs.
Utilize environment variables, connections, and variables from the Airflow UI or CLI to parameterize your DAGs.
For version control, integrate with CI/CD pipelines that push DAG code to the Cloud Storage bucket.
Cloud Composer also integrates with IAM, Cloud Monitoring, and Logging, allowing you to control access and observe the health of DAG runs effectively.
Read More
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