项目目录：本案例基于pycharm项目虚拟环境

1.进入项目虚拟环境目录

yololi@bogon bin % pwd
/Users/yololi/PycharmProjects/pythonProjecttest/venv/bin

2.安装airflow

./python3.8 -m pip install apache-airflow==2.2.5 -i https://pypi.tuna.tsinghua.edu.cn/simple

3.初始化数据库

./airflow db init

初始化数据库后会在本地目录下生成airflow文件夹

4.修改airflow.cfg文件dags_folder执行到自己写的代码目录下

dags_folder = /Users/yololi/PycharmProjects/pythonProjecttest/test

5.编写测试代码

from airflow.decorators import task
from airflow import DAG
from datetime import datetime, timedeltawith DAG('debug_demo2',default_args={'depends_on_past': False,  # 是否依赖上一个任务执行完成"retries": 1,"retry_delay": timedelta(minutes=5),'sla': timedelta(minutes=45),},# [END default_args]description='测试demo',schedule_interval='*/5 * * * *',# schedule_interval='0 */2 * * *',start_date=datetime(2023, 3, 1),
) as dag:@task(task_id="debug_test2")def f_task(**context):print("xxxxhhhooo")task1=f_task()

6.编辑脚本运行参数

tasks test ：airflow2脚本运行命令

debug_demo2:对应dag_id

debug_test2:对应task_id

2023-11-30:时间参数

7.运行脚本