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From "Vitor Baptista (JIRA)" <j...@apache.org>
Subject [jira] [Created] (AIRFLOW-1063) A manually-created DAG run can prevent a scheduled run to be created
Date Mon, 03 Apr 2017 16:48:41 GMT
Vitor Baptista created AIRFLOW-1063:
---------------------------------------

             Summary: A manually-created DAG run can prevent a scheduled run to be created
                 Key: AIRFLOW-1063
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-1063
             Project: Apache Airflow
          Issue Type: Improvement
          Components: scheduler
    Affects Versions: Airflow 1.7.1.3
            Reporter: Vitor Baptista


I manually created a DAG Run with the {{execution_date}} as {{2017-03-01 00:00:00}} on a monthly-recurrent
DAG. After a while, I noticed that the scheduled run was never created and checked the scheduler's
logs, finding this traceback:

{quote}
Process Process-475397:
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/local/lib/python2.7/dist-packages/airflow/jobs.py", line 664, in _do_dags
    dag = dagbag.get_dag(dag.dag_id)
  File "/usr/local/lib/python2.7/dist-packages/airflow/models.py", line 188, in get_dag
    orm_dag = DagModel.get_current(root_dag_id)
  File "/usr/local/lib/python2.7/dist-packages/airflow/models.py", line 2320, in get_current
    obj = session.query(cls).filter(cls.dag_id == dag_id).first()
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/query.py", line 2690, in first
    ret = list(self[0:1])
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/query.py", line 2482, in __getitem__
    return list(res)
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/query.py", line 2790, in __iter__
    return self._execute_and_instances(context)
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/query.py", line 2811, in _execute_and_instances
    close_with_result=True)
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/query.py", line 2820, in _get_bind_args
    **kw
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/query.py", line 2802, in _connection_from_session
    conn = self.session.connection(**kw)
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/session.py", line 966, in connection
    execution_options=execution_options)
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/session.py", line 971, in _connection_for_bind
    engine, execution_options)
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/session.py", line 382, in _connection_for_bind
    self._assert_active()
  File "/usr/local/lib/python2.7/dist-packages/sqlalchemy/orm/session.py", line 276, in _assert_active
    % self._rollback_exception
InvalidRequestError: This Session's transaction has been rolled back due to a previous exception
during flush. To begin a new transaction with this Session, first issue Session.rollback().
Original exception was: (psycopg2.IntegrityError)
 duplicate key value violates unique constraint "dag_run_dag_id_execution_date_key"
DETAIL:  Key (dag_id, execution_date)=(nct, 2017-03-01 00:00:00) already exists.
 [SQL: 'INSERT INTO dag_run (dag_id, execution_date, start_date, end_date, state, run_id,
external_trigger, conf) VALUES (%(dag_id)s, %(execution_date)s, %(start_date)s, %(end_date)s,
%(state)s, %(run_id)s, %(external_trigger)s, %(conf)s)
 RETURNING dag_run.id'] [parameters: {'end_date': None, 'run_id': u'scheduled__2017-03-01T00:00:00',
'execution_date': datetime.datetime(2017, 3, 1, 0, 0), 'external_trigger': False, 'state':
u'running', 'conf': None, 'start_date': dateti
me.datetime(2017, 4, 3, 13, 48, 39, 168456), 'dag_id': 'nct'}]
{quote}

The problem is that the {{dag_runs}} table require the {{(dag_id, execution_date)}} pair to
be unique, so the scheduler was stuck in a loop where it tried creating a new scheduled dag
run but failed, as I had already created one on the same {{execution_date}}. This was surprising.
As a user, I would expect that it would either schedule the run normally, even if there's
a manual one on the same date, or maybe it would skip that execution date.



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