Cookbook

Quick reference for common patterns.

• Parametrization
  • Switching from the command line
  • Dynamic parameters
• Debugging
  • Debugging a task
  • Post-mortem debugging
  • Breakpoints
  • Debugging in Jupyter
  • Using the debugger
• Logging
  • Function tasks
  • Scripts or notebooks
• Serialization
  • Resources
• Database configuration
  • Using SQLAlchemyClient
  • Using DBAPIClient
  • Configuring the client in pipeline.yaml
• Task grids
• Load pipeline.yaml into Python
• Hooks (e.g., on_finish)
  • Tip: Developing hooks interactively
  • Resources
  • DAG-level hooks