cnawel/airflow_mvp

Airflow best practices for a production server

Airflow_MVP

Implementing Apache Airflow Best Practices for a Minimum Viable Product (MVP)

Establishing a new Directed Acyclic Graph (DAG) encapsulates a tripartite procedure:

1. Code Inscription:

   • Compose Python script to instantiate a DAG object.
   • Adhere to Pythonic principles - PEP 8 standards, for code readability and maintainability.
   • Employ task dependencies judiciously to ensure coherent task execution order.
   • Utilize XCom for inter-task communication, albeit sparingly, to maintain acyclic graph property.
   • Integrate idempotency and atomicity principles within task designs to ensure reliable and reproducible task executions.
   • Modularize code by encapsulating common routines within Python functions or custom operators.

2. Code Verification:

   • Utilize airflow test command to ascertain task execution functionality.
   • Employ airflow render command to validate Jinja template rendering for task parameters.
   • Utilize unit testing frameworks such as pytest along with unittest.mock for mocking external dependencies.
   • Validate DAG integrity with airflow check command to ensure absence of cycle in task dependencies.

3. Environment Configuration:

   • Configure necessary environment variables, e.g., AIRFLOW_HOME, AIRFLOW__CORE__DAGS_FOLDER, etc., to orientate Airflow setup.
   • Establish necessary connections, variables and pools within the Airflow UI or through CLI.
   • Utilize Docker or Kubernetes for containerization to ensure a consistent environment for DAG execution.
   • Configure logging settings to capture essential diagnostics for task executions.
   • Ensure requisite Python dependencies are satisfied within the execution environment.

Emojis Legend:

• 📝 - Documentation or code inscription.
• 🔍 - Code verification or testing.
• ⚙️ - Environment configuration.

Supplementary Resources:

• Official Apache Airflow Documentation
• PEP 8 -- Style Guide for Python Code
• Airflow Best Practices

Contribution:

Feel free to fork this repository, propose modifications or raise issues to enhance the MVP structure following the Airflow best practices.

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Contributors: Cnawel