Airflow has a BranchPythonOperator that can be used to express the branching dependency more directly.
The docs describe its use:
The BranchPythonOperator is much like the PythonOperator except that it expects a python_callable that returns a task_id. The task_id returned is followed, and all of the other paths are skipped. The task_id returned by the Python function has to be referencing a task directly downstream from the BranchPythonOperator task.
...
If you want to skip some tasks, keep in mind that you can’t have an empty path, if so make a dummy task.
Code Example
def dummy_test():
return 'branch_a'
A_task = DummyOperator(task_id='branch_a', dag=dag)
B_task = DummyOperator(task_id='branch_false', dag=dag)
branch_task = BranchPythonOperator(
task_id='branching',
python_callable=dummy_test,
dag=dag,
)
branch_task >> A_task
branch_task >> B_task
EDIT:
If you're installing an Airflow version >=1.10.3, you can also return a list of task ids, allowing you to skip multiple downstream paths in a single Operator and don't use a dummy task before joining.
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