### Discussed in https://github.com/apache/airflow/discussions/24548

<div type='discussions-op-text'>

<sup>Originally posted by **don1uppa** June 16, 2022</sup>
### Apache Airflow version

2.2.5

### What happened

I have a dag that starts another dag with a conf.   
I am attempting to start the initiating dag a second time with different configuration parameters.   I it to start the other dag with the new parameters.

## What you think should happen instead

It should use the new conf when starting the called dag

### How to reproduce

See code in squsequent message

### Operating System

windows and ubuntu

### Versions of Apache Airflow Providers

N/A

### Deployment

Docker-Compose

### Deployment details

_No response_

### Anything else

**Work around for now is to delete the previous "child" dag runs.**

### 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)
</div>
"""Test TriggerDagRunOperator  wait_for_completion dag run in failed state."""
        execution_date = DEFAULT_DATE
        task = TriggerDagRunOperator(
            task_id="test_task",
            trigger_dag_id=TRIGGERED_DAG_ID,
            execution_date=execution_date,
            wait_for_completion=True,
            poke_interval=10,
            allowed_states=[State.SUCCESS],
            failed_states=[State.QUEUED],
            deferrable=True,
            dag=self.dag,
        )
        task.run(start_date=execution_date, end_date=execution_date)
        with create_session() as session:
            dagruns = session.query(DagRun).filter(DagRun.dag_id == TRIGGERED_DAG_ID).all()
            assert len(dagruns) == 1
        trigger = DagStateTrigger(
            dag_id="down_stream",
            execution_dates=[DEFAULT_DATE],
            poll_interval=20,
            states=["success", "failed"],
        )
        with pytest.raises(AirflowException) as exception:
            task.execute_complete(context={}, event=trigger.serialize())
            assert "failed with failed state" in str(exception)