Apache Airflow Architecture | Key Components

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Apache Airflow Architecture Key Components
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1?? Scheduler

• Triggers tasks based on defined schedules and
  dependencies.
• Monitors DAGs and queues tasks for execution.

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2?? Executor

• Handles how and where tasks are executed (e.g.,
  Local, Celery, Kubernetes).
• Works closely with the scheduler.

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3?? Workers

• Execute individual tasks as directed by the
  executor.
• Scalable depending on the execution environment.

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4?? Web Server

• Provides a user-friendly UI to monitor DAGs,
  tasks, logs, and execution status.
• Supports real-time interaction and control.

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5?? Metadata Database

• Stores DAGs, task states, schedules, and logs.
• Central to Airflow's state management using
  SQLAlchemy ORM.

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6?? DAGs (Directed Acyclic Graphs)

• Define workflows using Python code.
• Represent task relationships and dependencies.

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