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- 서버 dags 폴더에 example-pipeline.py 생성하여 코드 넣기
import textwrap
from datetime import datetime, timedelta
# The DAG object; we'll need this to instantiate a DAG
from airflow.models.dag import DAG
# Operators; we need this to operate!
from airflow.operators.bash import BashOperator
with DAG(
"tutorial",
# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization
default_args={
"depends_on_past": False,
"email": ["airflow@example.com"],
"email_on_failure": False,
"email_on_retry": 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, # or list of functions
# 'on_success_callback': some_other_function, # or list of functions
# 'on_retry_callback': another_function, # or list of functions
# 'sla_miss_callback': yet_another_function, # or list of functions
# 'on_skipped_callback': another_function, #or list of functions
# 'trigger_rule': 'all_success'
},
description="A simple tutorial DAG",
schedule=timedelta(days=1),
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example"],
) as dag:
# t1, t2 and t3 are examples of tasks created by instantiating operators
t1 = BashOperator(
task_id="print_date",
bash_command="date",
)
t2 = BashOperator(
task_id="sleep",
depends_on_past=False,
bash_command="sleep 5",
retries=3,
)
t1.doc_md = textwrap.dedent(
"""\
#### Task Documentation
You can document your task using the attributes `doc_md` (markdown),
`doc` (plain text), `doc_rst`, `doc_json`, `doc_yaml` which gets
rendered in the UI's Task Instance Details page.
![img](https://imgs.xkcd.com/comics/fixing_problems.png)
**Image Credit:** Randall Munroe, [XKCD](https://xkcd.com/license.html)
"""
)
dag.doc_md = __doc__ # providing that you have a docstring at the beginning of the DAG; OR
dag.doc_md = """
This is a documentation placed anywhere
""" # otherwise, type it like this
templated_command = textwrap.dedent(
"""
{% for i in range(5) %}
echo "{{ ds }}"
echo "{{ macros.ds_add(ds, 7)}}"
{% endfor %}
"""
)
t3 = BashOperator(
task_id="templated",
depends_on_past=False,
bash_command=templated_command,
)
t1 >> [t2, t3]
- 업로드하고 나서 airflow UI 들어가면 바로 보여지는줄 알앗으나, 스케줄러 실행을 해야만 적용이 된다고 합니다
- 스케줄러 실행
airflow scheduler
- 파이프라인 구조
- DAGS 실행
- 구동중 ......
- 완료
- DAGs tutorial UI
- 성공 개수 확인
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