编写作业调度Python脚本并保存为.py文件，脚本文件中会呈现完整的调度逻辑及对应的调度作业名称。假设Python脚本名称为Airiflow_MC.py，脚本内容示例如下：
# -*- coding: UTF-8 -*-
import sys
import os
from odps import ODPS
from odps import options
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from datetime import datetime, timedelta
from configparser import ConfigParser
import time
reload(sys)
sys.setdefaultencoding('utf8')
#修改系统默认编码
#MaxCompute参数设置
options.sql.settings = {'options.tunnel.limit_instance_tunnel': False, 'odps.sql.allow.fullscan': True}
cfg = ConfigParser()
cfg.read("odps.ini")
print(cfg.items())
odps = ODPS(cfg.get("odps","<access_id>"),cfg.get("odps","<secret_access_key>"),cfg.get("odps","project"),cfg.get("odps","endpoint"))
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'retry_delay': timedelta(minutes=5),
'start_date':datetime(2020,1,15)
# 'email': ['airflow@example.com'],
# 'email_on_failure': False,
# 'email_on_retry': False,
# 'retries': 1,
# 'queue': 'bash_queue',
# 'pool': 'backfill',
# 'priority_weight': 10,
# 'end_date': datetime(2016, 1, 1),
#调度流程
dag = DAG(
'Airiflow_MC', default_args=default_args, schedule_interval=timedelta(seconds=30))
def read_sql(sqlfile):
with io.open(sqlfile, encoding='utf-8', mode='r') as f:
sql=f.read()
f.closed
return sql
#调度作业
def get_time():
print '当前时间是{}'.format(time.time())
return time.time()
#调度作业
def mc_job ():
project = odps.get_project() # 取到默认项目。
instance=odps.run_sql("select * from long_chinese;")
print(instance.get_logview_address())
instance.wait_for_success()
with instance.open_reader() as reader:
count = reader.count
print("查询表数据条数：{}".format(count))
for record in reader:
print record
return count
t1 = PythonOperator (
task_id = 'get_time' ,
provide_context = False ,
python_callable = get_time,
dag = dag )
t2 = PythonOperator (
task_id = 'mc_job' ,
provide_context = False ,
python_callable = mc_job ,
dag = dag )
t2.set_upstream(t1)
