Debug Executor¶
The DebugExecutor
is meant as
a debug tool and can be used from IDE. It is a single process executor that
queues TaskInstance
and executes them by running
_run_raw_task
method.
Due to its nature the executor can be used with SQLite database. When used
with sensors the executor will change sensor mode to reschedule
to avoid
blocking the execution of DAG.
Additionally DebugExecutor
can be used in a fail-fast mode that will make
all other running or scheduled tasks fail immediately. To enable this option set
AIRFLOW__DEBUG__FAIL_FAST=True
or adjust fail_fast
option in your airflow.cfg
.
For more information on setting the configuration, see Setting Configuration Options.
IDE setup steps:
1. Add main
block at the end of your DAG file to make it runnable.
It will run a backfill job:
if __name__ == '__main__':
from airflow.utils.state import State
dag.clear(dag_run_state=State.NONE)
dag.run()
Setup
AIRFLOW__CORE__EXECUTOR=DebugExecutor
in run configuration of your IDE. In this step you should also setup all environment variables required by your DAG.Run / debug the DAG file.