#AIRFLOW PYTHON BRANCH OPERATOR CODE#

Option_1 = DummyOperator(task_id='option_1') T2 = BranchPythonOperator(task_id='t2', python_callable=random_branch) A PythonOperator, which can track the output of a particular task and then make more informed decisions based on the context in which it is run and then branch. That condition is evaluated in a python callable function. Return 'option_1' if randint(1, 2) = 1 else 'option_2' Ok, we are to happy to meet with the BranchPythonOperator but what does it do The BranchPythonOperator allows to follow a specific path according to a condition.

#AIRFLOW PYTHON BRANCH OPERATOR CODE#

Quick code test for your reference: from airflow.models import DAGįrom import DummyOperatorįrom import BranchPythonOperatorįrom _rule import TriggerRule It derives the PythonOperator and expects a Python function that returns a single taskid or list of taskids to. Well also go over ways to extend Airflow by adding custom task operators. The main (development) branch already supports Python 3.10. Allows a workflow to 'branch' or follow a path following the execution of this task. A DAG can have many branches and you can decide which of them to follow and. It derives the PythonOperator and expects a Python function that returns a single taskid or list of taskids to follow. Note: Support for Python v3.10 will be available from Airflow 2.3.0. return 'materialmarm', 'materialmbew', 'materialmdma' If you want to learn more about the BranchPythonOperator, check my. Bases:, Allows a workflow to 'branch' or follow a path following the execution of this task. For example, you want to execute materialmarm, materialmbew and materialmdma, you just need to return those task ids in your python callable function. Since branches converge on the 'complete' task, make sure the trigger_rule is set to 'none_failed' (you can also use the TriggerRule class constant as well) so the task doesn't get skipped. The BranchPythonOperaror can return a list of task ids. One last important note is related to the 'complete' task. More info on the BranchPythonOperator here. Make sure BranchPythonOperator returns the task_id of the task at the start of the branch based on whatever logic you need. The dependencies you have in your code are correct for branching.

Airflow python branch operator