Example DAG gets stuck in “running” state indefinitely

问题

In my first foray into airflow, I am trying to run one of the example DAGS that comes with the installation. This is v.1.8.0. Here are my steps:

$ airflow trigger_dag example_bash_operator
[2017-04-19 15:32:38,391] {__init__.py:57} INFO - Using executor SequentialExecutor
[2017-04-19 15:32:38,676] {models.py:167} INFO - Filling up the DagBag from /Users/gbenison/software/kludge/airflow/dags
[2017-04-19 15:32:38,947] {cli.py:185} INFO - Created <DagRun example_bash_operator @ 2017-04-19 15:32:38: manual__2017-04-19T15:32:38, externally triggered: True>
$ airflow dag_state example_bash_operator '2017-04-19 15:32:38'
[2017-04-19 15:33:12,918] {__init__.py:57} INFO - Using executor SequentialExecutor
[2017-04-19 15:33:13,229] {models.py:167} INFO - Filling up the DagBag from /Users/gbenison/software/kludge/airflow/dags
running

The dag state remains "running" for a long time (at least 20 minutes by now), although from a quick inspection of this task it should take a matter of seconds. How can I troubleshoot this? How can I see which step it is stuck on?

回答1:

To run any DAGs, you need to make sure two processes are running:

airflow webserver
airflow scheduler

If you only have airflow webserver running, the UI will show DAGs as running, but if you click on the DAG, none of it's tasks are actually running or scheduled, but rather in a Null state. What this means is that they are waiting to be picked up by airflow scheduler. If airflow scheduler is not running, you'll be stuck in this state forever, as the tasks are never picked up for execution.

Additionally, make sure that the toggle button in the DAGs view is switched to 'ON' for the particular DAG. Otherwise it will not get picked up by the scheduler if you trigger it manually.

回答2:

I too recently started using Airflow and my dags kept endlessly running. Your dag may be set on 'pause' without you realizing it, and thus the scheduler will not schedule new task instances and when you trigger the dag it just looks like it is endlessly running.

There are a few solutions:

1) In the Airflow UI toggle the button left of the dag from 'Off' to 'On'. Off means that the dag is paused, so On will allow the scheduler to pick it up and complete the dag. (this fixed my initial issue)

2) In your airflow.cfg file dags_are_paused_at_creation = True, is the default. So all new dags you create are paused from the start. Change this to False, and future dags you create will be good to go right away (i had to reboot webserver and scheduler for changes to the airflow.cfg to be recognized)

3) use the command line $ airflow unpause [dag_id] documentation: https://airflow.apache.org/cli.html#unpause

回答3:

The below worked for me.

Make sure AIRFLOW_HOME is set
in AIRFLOW_HOME have folders dags, plugins. The folders to have permissions r,w,x to airflow user.
Make sure u have atleast one dag in the dags/ folder.
pip install celery[redis]==4.1.1

I have checked the above soln on airflow 1.9.0 Airflow version

I tried the same trick with airflow 1.10 version and it worked.

来源：https://stackoverflow.com/questions/43507252/example-dag-gets-stuck-in-running-state-indefinitely

标签

airflow