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https://issues.apache.org/jira/browse/AIRFLOW-43?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15270184#comment-15270184
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Siddharth Anand commented on AIRFLOW-43:
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I just checked out a branch on 1.7.0 and I ran the examples under the
examples_dag directory : example_trigger_controller_dag.py and
example_trigger_target_dag.py.
Essentially, you should be able to run
{code}
airflow trigger_dag example_trigger_target_dag -c '{"message":"test_1"}'
{code}
If you see the dag run created, but not being scheduled, it is likely because
you are not running in UTC everywhere.
> Tasks never run in externally triggered DAGRun
> ----------------------------------------------
>
> Key: AIRFLOW-43
> URL: https://issues.apache.org/jira/browse/AIRFLOW-43
> Project: Apache Airflow
> Issue Type: Bug
> Affects Versions: Airflow 1.7.0
> Environment: OSX, Python 2.7.5
> Reporter: Chris Johnson
> Assignee: Siddharth Anand
> Priority: Critical
>
> I have a DAG which should only be run as needed (no schedule interval):
> dag = DAG(
> dag_id='major_integ_cycle',
> default_args=args,
> schedule_interval=None,
> )
> I attempted to start this using `airflow trigger_dag NAME` but the tasks
> never run. The scheduler has noted the fact that itthe DAG was triggered:
> INFO - Created <DagRun major_integ_cycle @ 2016-05-03 08:36:16.032474:
> manual__2016-05-03T08:36:16.032474, externally triggered: True>
> The tasks are currently very vanilla test cases, all look like this:
> task_mdc = op.BashOperator(
> task_id='master_data_cycle',
> bash_command='sleep 1',
> dag=dag,
> )
> Have I misunderstood? Or is not running a bug in this case?
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