Airflow TaskFlow: Difference between revisions
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| Line 15: | Line 15: | ||
from datetime import datetime | from datetime import datetime | ||
@task | |||
def task_x(ti=None): | |||
print(f"executing task X, task instance {ti}") | |||
@dag( | @dag( | ||
| Line 28: | Line 32: | ||
print(f"executing task B, task instance {ti}") | print(f"executing task B, task instance {ti}") | ||
task_a() >> task_b() | task_a() >> task_b() >> task_x() | ||
</syntaxhighlight> | </syntaxhighlight> | ||
Latest revision as of 02:07, 18 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
@task
def task_x(ti=None):
print(f"executing task X, task instance {ti}")
@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() >> task_x()
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