airflow python example
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title: getting started with apache airflow in python: a step-by-step tutorial
introduction:
apache airflow is an open-source platform to programmatically author, schedule, and monitor workflows. it allows you to define workflows as directed acyclic graphs (dags) and execute them on a schedule or in response to specific events. in this tutorial, we'll walk through a basic example of setting up and using apache airflow with python.
prerequisites:
step 1: install apache airflow
step 2: initialize airflow database
step 3: start the airflow web server and scheduler
visit http://localhost:8080 in your web browser to access the airflow ui.
step 4: create a simple dag
create a python script, e.g., my_dag.py, with the following content:
step 5: run the dag
copy the my_dag.py script to the airflow dags folder:
visit the airflow ui (http://localhost:8080) and enable the my_example_dag dag.
step 6: trigger the dag
click on the "trigger dag" button in the airflow ui, and you should see the tasks being executed in the logs.
conclusion:
congratulations! you've successfully set up a basic apache airflow dag using python. this example demonstrates a simple dag with three tasks: a starting task, a python task, and an ending task. explore more airflow features and operators to create complex workflows tailored to your needs.
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