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Airflow - Components

Airflow - Components
📅 发布时间:2026/6/19 23:35:54
Airflow - Components
  • MetaDatabase
  • API Server
  • Scheduler
  • DAG-Processor
  • Triggerer

 

✔ Airflow Scheduler

The Scheduler is the core component that orchestrates your workflows. It is responsible for:

What it does

  • Evaluates DAGs: Determines what tasks need to be run.

  • Creates task instances based on schedules or callbacks.

  • Queues tasks for execution by workers (Celery/Kubernetes/Local).

  • Monitors task states (success, failure, retries).

  • Handles SLAs, task dependencies, backfills, and scheduling intervals.

Key point

The scheduler decides when tasks should run and sends them to the executor.


✔ Airflow Triggerer

The Triggerer is used only for deferrable operators, introduced to handle async triggers efficiently.

What it does

  • Runs async triggers that wait for events (e.g., sensor completion, external conditions) without blocking worker slots.

  • Uses asyncio to handle thousands of concurrent lightweight tasks.

  • Wakes the scheduler/executor when an event is completed.

Key point

The Triggerer waits for external events asynchronously, freeing worker resources.

Examples of things the triggerer waits for:

  • File sensor waiting for object in S3

  • Time-based sleep

  • External API response

  • Custom deferrable operator


✔ Airflow DAG Processor

The DAG Processor handles parsing and processing DAG files.

What it does

  • Watches your DAG directory for new/changed DAG files.

  • Parses DAG Python files in isolation, producing serialized DAGs stored in the Metadata DB.

  • Offloads DAG parsing from the Scheduler for performance and safety.

Key point

The DAG Processor parses and prepares DAGs, while the Scheduler uses the parsed DAGs to schedule tasks.


🎯 Summary Chart

ComponentMain PurposeKey Responsibilities
Scheduler Decides when tasks run Create task instances, queue tasks, enforce dependencies
Triggerer Handles async waiting Manage deferrable operators and event-based waiting
DAG Processor Parses DAGs Scan DAG folder, parse files, serialize DAGs

🧠 Simple Analogy

  • DAG Processor = “The compiler” → reads DAG code and prepares it.

  • Scheduler = “The planner” → decides which tasks to run and when.

  • Triggerer = “The waiter” → waits for asynchronous events efficiently.

 

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