Airflow: Introduction to DAG

DAG is a directed acyclic graph.

 

DAG is a directed graph that doesn’t have any cycles. Apache airflow uses DAG to represent collection of tasks and their dependencies. Each node is a DAG represent a task and edge represent a dependency.

 

Where can I place the dag definition?

DAG is defined in python file and can be placed in dags folder.

 

Important properties of DAG in apache airflow

Property	Description
dag_id	Unique identifies to represent your dag
description	Description about dag
start_date	When dag should start
schedule_interval	Define how often your dag runs
depend_on_past	Run next DAG run only if the previous dag run completed successfully.
default_args	Map (or) dictionary of variables used to initialize operators.

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