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.
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
For more information on setting the configuration, see Setting Configuration Options.
IDE setup steps:
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()
AIRFLOW__CORE__EXECUTOR=DebugExecutorin run configuration of your IDE. In this step you should also setup all environment variables required by your DAG.
Run / debug the DAG file.