gvergnolle opened a new issue, #57756:
URL: https://github.com/apache/airflow/issues/57756
### Apache Airflow version
3.1.1
### If "Other Airflow 2/3 version" selected, which one?
_No response_
### What happened?
When using the `TriggerDagRunOperator` with a given `trigger_run_id`,
`wait_for_completion`, and `reset_dag_run` set to True, the operator remains
stuck in a `deferred` state forever once I restarted the task.
### What you think should happen instead?
Instead, once the DAG run has been reset and completed, the trigger should
mark the state as success.
### How to reproduce
Add two dags, one that triggers, the other is triggered:
DAG 1:
```
with DAG(
dag_id="test1",
schedule=None,
start_date=pendulum.datetime(2020, 1, 1),
tags=[],
default_args={},
max_active_runs=1,
is_paused_upon_creation=False,
) as dag:
TriggerDagRunOperator(
task_id="trigger_test2_dag",
trigger_dag_id="test2",
trigger_run_id="a_dag_run_id", # important
wait_for_completion=True, # important
deferrable=True, # important
reset_dag_run=True, # important
retries=0,
)
```
DAG 2 (does nothing really):
```
with DAG(
dag_id="test2",
schedule=None,
start_date=pendulum.datetime(2020, 1, 1),
tags=[],
default_args={},
max_active_runs=1,
is_paused_upon_creation=False,
) as dag:
@task()
def hello_world():
print("Hello, World!")
hello_world()
```
Then:
- Manually trigger `test1`
- `test2` will be scheduled, then successes. Seconds later, `test1` task
succeeds.
- Clear the same task in `test1` so it re-triggers `test2` with the same
`dag_run_id`.
- `test2` DAG will be reset, and completes without issues.
- The only `test1` task is now stuck in `deferred` state forever
### Operating System
Debian GNU/Linux 12 (bookworm)
### Versions of Apache Airflow Providers
apache-airflow-providers-standard==1.9.0
### Deployment
Docker-Compose
### Deployment details
_No response_
### Anything else?
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [x] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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