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apache_airflow_tutorial_dag_with_bash_task_dependencies.py
pythonThis script defines a basic DAG that demonstrates task dependencies by ru
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apache_airflow_tutorial_dag_with_bash_task_dependencies.py
1import textwrap
2from datetime import datetime, timedelta
3
4# The DAG object; we'll need this to instantiate a DAG
5from airflow.models.dag import DAG
6
7# Operators; we need this to operate!
8from airflow.operators.bash import BashOperator
9
10with DAG(
11 "tutorial",
12 # These args will get passed on to each operator
13 # You can override them on a per-task basis during operator initialization
14 default_args={
15 "depends_on_past": False,
16 "email": ["airflow@example.com"],
17 "email_on_failure": False,
18 "email_on_retry": False,
19 "retries": 1,
20 "retry_delay": timedelta(minutes=5),
21 },
22 description="A simple tutorial DAG",
23 schedule=timedelta(days=1),
24 start_date=datetime(2021, 1, 1),
25 catchup=False,
26 tags=["example"],
27) as dag:
28
29 # t1, t2 and t3 are examples of tasks created by instantiating operators
30 t1 = BashOperator(
31 task_id="print_date",
32 bash_command="date",
33 )
34
35 t2 = BashOperator(
36 task_id="sleep",
37 depends_on_past=False,
38 bash_command="sleep 5",
39 retries=3,
40 )
41
42 t1.doc_md = textwrap.dedent(
43 """\
44 #### Task Documentation
45 You can document your task using the attributes `doc_md` (markdown),
46 `doc` (plain text), `doc_rst`, `doc_json`, `doc_yaml` which gets
47 rendered in the UI's Task Instance Details page.
48 
49 **Image Credit:** XKCD
50 """
51 )
52
53 dag.doc_md = __doc__ # providing that you have a docstring at the beginning of the DAG; OR
54 dag.doc_md = """
55 This is a documentation shown in the DAG edit page
56 """ # otherwise, type it like this
57 templated_command = textwrap.dedent(
58 """
59 {% for i in range(5) %}
60 echo "{{ ds }}"
61 echo "{{ macros.ds_add(ds, 7) }}"
62 {% endfor %}
63 """
64 )
65
66 t3 = BashOperator(
67 task_id="templated",
68 depends_on_past=False,
69 bash_command=templated_command,
70 )
71
72 t1 >> [t2, t3]