dhr*_*shp 5 airflow airflow-scheduler
我正在使用气流 cli 的backfill命令手动运行一些回填作业。
airflow backfill mydag -i -s 2018-01-11T16-00-00 -e 2018-01-31T23-00-00 --reset_dagruns --rerun_failed_tasks
Run Code Online (Sandbox Code Playgroud)
dag 间隔是每小时一次,大约有 40 个任务。因此,这种回填工作需要一天多的时间才能完成。我需要它在没有监督的情况下运行。但是,我注意到,即使一项任务在回填间隔中的一次运行中失败,整个回填作业也会因以下异常而停止,我必须再次手动重新启动它。
Traceback (most recent call last):
File "/home/ubuntu/airflow/bin/airflow", line 4, in <module>
__import__('pkg_resources').run_script('apache-airflow==1.10.0', 'airflow')
File "/home/ubuntu/airflow/lib/python3.5/site-packages/pkg_resources/__init__.py"
, line 719, in run_script
self.require(requires)[0].run_script(script_name, ns)
File "/home/ubuntu/airflow/lib/python3.5/site-packages/pkg_resources/__init__.py", line 1504, in run_script
exec(code, namespace, namespace)
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.
5.egg/EGG-INFO/scripts/airflow", line 32, in <module>
args.func(args)
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.5.egg/airflow/utils/cli.py", line 74, in wrapper
return f(*args, **kwargs)
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.
5.egg/airflow/bin/cli.py", line 217, in backfill
rerun_failed_tasks=args.rerun_failed_tasks,
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.5.egg/airflow/models.py", line 4105, in run
job.run()
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.
5.egg/airflow/jobs.py", line 202, in run
self._execute()
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.5.egg/airflow/utils/db.py", line 74, in wrapper
return func(*args, **kwargs)
File "/home/ubuntu/airflow/lib/python3.5/site-packages/apache_airflow-1.10.0-py3.
5.egg/airflow/jobs.py", line 2533, in _execute
airflow.exceptions.AirflowException:
Some task instances failed:
{('mydag', 'a_task', datetime.datetime(2018, 1, 30, 17, 5, tzinfo=psy
copg2.tz.FixedOffsetTimezone(offset=0, name=None)))}
Run Code Online (Sandbox Code Playgroud)
任务实例不依赖于它们之前的实例,因此我不介意一两个任务失败。我需要这份工作才能继续。
我在回填文档中找不到任何允许我指定此行为的选项。
有没有办法实现我正在寻找的东西?
Ale*_*ino -1
如果我正确理解您的问题,您寻求的行为可以通过设置来实现
'depends_on_past': False
Run Code Online (Sandbox Code Playgroud)
在 DAG 参数中。
来源: https: //airflow.incubator.apache.org/tutorial.html#backfill
| 归档时间: |
|
| 查看次数: |
2277 次 |
| 最近记录: |