This could be 1 to N tasks immediately downstream. Instead, the new release completes the scope with 2 time-sensitive branch operators called BranchDateTimeOperator and BranchDayOfWeekOperator. Branching operators Module Contents class Bases:, This is a base class for creating operators with branching functionality, similarly to BranchPythonOperator. No, Apache Airflow 2 doesn't get rid of the BranchPythonOperator. That function shall return, based on your business logic, the task name of the immediately downstream tasks that you have connected. The first feature concerns the branch operators. When some_condition is satisfied the flow go correctly from branch to task_group.inner, otherwise it should be from branch to end, but instead of execute end this is skipped. 1 Answer Sorted by: 34 Your BranchPythonOperator is created with a pythoncallable, which will be a function. Inner_one = DummyOperator(task_id='inner') Airflow is a good way to visualize the task dependencies (figure 4.44). With TaskGroup(group_id='tasks') as task_group: The BranchOperator is an Airflow operator that enables dynamic branching in your workflows, allowing you to conditionally execute specific tasks based on the output of a callable or a Python function. Next (branching) is a Python branch operator that reads the nexttask key and. Tags=) as dag:īranch = BranchPythonOperator(task_id='branch', From import DummyOperatorįrom import BranchPythonOperatorįrom _group import TaskGroupĭescription='Branching with task group POC', Branching in Airflow: Provides conditional logic Using BranchPythonOperator.
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