Airflow学习笔记 --- job配置文件说明

"""
Code that goes along with the Airflow tutorial located at: https://github.com/airbnb/airflow/blob/master/airflow/example_dags/tutorial.py """
# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG
# Operator; we need this operate;
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta

# Default Arguments
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': datetime(2015, 6, 1),
'email': ['812716131@qq.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),
}

# Instantiate a DAG
dag = DAG('tutorial', default_args=default_args)

# t1, t2 and t3 are examples of tasks created by instantiating operators
t1 = BashOperator(
task_id='print_date',
bash_command='date',
dag=dag)

t2 = BashOperator(
task_id='sleep',
bash_command='sleep 5',
retries=3,
dag=dag)

templated_command = """
{% for i in range(5) %}
echo "{{ ds }}"
echo "{{ macros.ds_add(ds, 7)}}"
echo "{{ params.my_param }}"
{% endfor %}
"""

t3 = BashOperator(
task_id='templated',
bash_command=templated_command,
params={'my_param': 'Parameter I passed in'},
dag=dag)

t2.set_upstream(t1)