Failed tasks are displayed in red on the graph and tree view of the Airflow UI, and the workflow restarts from the failure point. Airflow Failures-Failed tasks can happen, and Airflow can wait and retry or rerun tasks after failures and notify while successive dependent tasks stop running.It is accessible to the Scheduler, Webserver, and executor processes. DAG File Folder-The DAG file folder contains DAG definitions of custom components (operators, hooks, and sensors) and metadata about its execution.MySQL or Postgres databases are preconfigured to access resources and store encrypted credentials. Airflow Database/Metastore–Metadata-Database stores components, states, and provides the status of DAGs and tasks, connections, and variables (store credentials).Airflow Webserver-Airflow Webserver (HTTP Server) is a web interface used to visualize and monitor DAG task runs and results and to debug their behavior.Airflow Workers-Airflow workers pick up tasks from the queue and execute them, checking/retrieving results and passing them to Airflow’s metastore.Checks if dependencies are completed and adds tasks to the execution queue. Schedule DAG Intervals-Schedule intervals and parameters (param) to determine when the pipeline is run (triggered) for each DAG’s execution.The executor registers the task state changes and handles task execution. Airflow Executor-The task executor handles running tasks inside the scheduler as a default option or pushes task execution to Airflow workers. The scheduler is set to run at specific times or discrete intervals and submits tasks to the executors.
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