### Apache Airflow version

2.1.2

### What happened

Task duration view for triggered dags shows all dag runs instead of n last. Changing the number of runs in the `Runs` drop-down menu doesn't change the view. Additionally the chart loads slowly, it show all dag runs.

![screenshot_2022-03-05_170203](https://user-images.githubusercontent.com/7863204/156891332-5e461661-970d-49bf-82a8-5dd1da57bb02.png)
 

### What you expected to happen

The number of shown dag runs is 25 (like for scheduled dags), and the last runs are shown. The number of runs button should allow to increase / decrease the number of shown dag runs (respectively the task times of the dag runs).

### How to reproduce

Trigger a dag multiple (> 25) times. Look at the "Task Duration" chart.

### Operating System

Linux

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### 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)

"""
        Returns edge information for the given pair of tasks if present, and
        an empty edge if there is no information.
        """
        
        empty = cast(EdgeInfoType, {})
        if self.edge_info:
            return self.edge_info.get(upstream_task_id, {}).get(downstream_task_id, empty)
        else:
            return empty
    def set_edge_info(self, upstream_task_id: str, downstream_task_id: str, info: EdgeInfoType):
        """
        Sets the given edge information on the DAG. Note that this will overwrite,
        rather than merge with, existing info.
        """
        self.edge_info.setdefault(upstream_task_id, {})[downstream_task_id] = info
    def validate_schedule_and_params(self):
        """
        Validates & raise exception if there are any Params in the DAG which neither have a default value nor
        have the null in schema['type'] list, but the DAG have a schedule_interval which is not None.
        """
        if not self.timetable.can_run:
            return
        for k, v in self.params.items():
            
            if not v.has_value and ("type" not in v.schema or "null" not in v.schema["type"]):
                raise AirflowException(
                    "DAG Schedule must be None, if there are any required params without default values"
                )
    def iter_invalid_owner_links(self) -> Iterator[tuple[str, str]]: