Hi Kyle,
The execution_date of the DAG run will always be lagged one day for your
daily DAG and one week for your weekly DAG. Under the hood, airflow will
calculate the execution_date and next execution_date of the task, and only
schedule the task when the current timestamp is bigger than the
I'm a bit confused with how the scheduler catches up in relation to
start_date and schedule_interval. I have one dag that runs hourly:
dag = DAG(
dag_id='hourly_dag',
start_date=days_ago(1),
schedule_interval='@hourly',
default_args=ARGS)
When I start this DAG fresh it will catch
