bash 명령어를 실행하는 dag 파이프라인을 만들어 보자
from datetime import datetime, timedelta
from textwrap import dedent
from airflow import DAG
from airflow.operators.bash import BashOperator
with DAG(
'tutorial', # dag 이름
default_args={
'depends_on_past': False,
'retries': 1,
'retry_delay': timedelta(minutes=5),
# 'queue': 'bash_queue',
# 'pool': 'backfill',
# 'priority_weight': 10,
# 'end_date': datetime(2016, 1, 1),
# 'wait_for_downstream': False,
# 'sla': timedelta(hours=2),
# 'execution_timeout': timedelta(seconds=300),
# 'on_failure_callback': some_function,
# 'on_success_callback': some_other_function,
# 'on_retry_callback': another_function,
# 'sla_miss_callback': yet_another_function,
# 'trigger_rule': 'all_success'
},
description='A simple tutorial DAG',
schedule_interval=timedelta(days=1),
start_date=datetime(2021, 1, 1),
catchup=False,
tags=['example'],
) as dag:
t1 = BashOperator(
task_id='print_date',
bash_command='date',
)
t2 = BashOperator(
task_id='sleep',
depends_on_past=False,
bash_command='sleep 5',
retries=3,
)
t3 = BashOperator(
task_id='templated',
depends_on_past=False,
bash_command=templated_command,
)
t1 >> [t2, t3]