Airflow TaskFlow: Difference between revisions
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* https://airflow.apache.org/docs/apache-airflow/stable/concepts/taskflow.html | * https://airflow.apache.org/docs/apache-airflow/stable/concepts/taskflow.html | ||
* https://airflow.apache.org/docs/apache-airflow/stable/tutorial_taskflow_api.html | * https://airflow.apache.org/docs/apache-airflow/stable/tutorial_taskflow_api.html | ||
* https://airflow.apache.org/docs/apache-airflow/2.0.0/concepts.html#python-task-decorator | |||
=Internal= | =Internal= | ||
* [[Airflow_Concepts#TaskFlow|Airflow Concepts]] | * [[Airflow_Concepts#TaskFlow|Airflow Concepts]] |
Revision as of 04:12, 16 July 2022
External
- https://airflow.apache.org/docs/apache-airflow/stable/concepts/taskflow.html
- https://airflow.apache.org/docs/apache-airflow/stable/tutorial_taskflow_api.html
- https://airflow.apache.org/docs/apache-airflow/2.0.0/concepts.html#python-task-decorator
Internal
Overview
Tasks can be declared as Python functions annotated with @task
.
Programming Model
Functions annotated with @task
are executed when the corresponding task instance is executed.
from airflow.decorators import dag, task
from datetime import datetime
@dag(
[...]
)
def some_dag():
@task
def task_a(ti=None):
print(f"executing task A, task instance {ti}")
@task
def task_b(ti=None):
print(f"executing task B, task instance {ti}")
task_a() >> task_b()
If the function's first argument is ti
, a reference to the corresponding task instance it will be passed with it. An equivalent key is task_instance
.
TO PROCESS: https://airflow.apache.org/docs/apache-airflow/stable/templates-ref.html#templates-variables