### Description

expanding tasks in batches to allow mapped tasks spawn more than 1024 processes.

### Use case/motivation

Maximum length of a list is limited to 1024 by `max_map_length (AIRFLOW__CORE__MAX_MAP_LENGTH)`.
during scheduling of the new tasks, an UPDATE query is ran that tries to set all the new tasks at once.  Increasing `max_map_length` more than 4K makes airflow scheduler completely unresponsive.

Also, Postgres throws `stack depth limit exceeded` error which can be fixed by updating to a newer version and setting `max_stack_depth` higher. But it doesn't really matter because airflow scheduler freezes up.
 
As a workaround, I split the dag runs into subdag runs which works but it would be much nicer if we didn't have to worry about exceeding  `max_map_length`. 

### Related issues

It was discussed here:
[Increasing 'max_map_length' leads to SQL 'max_stack_depth' error with 5000 dags to be spawned #28478](https://github.com/apache/airflow/discussions/28478)

### Are you willing to submit a 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)

tis = tis.filter(TI.task_id.in_(self.dag.task_ids))
        return tis.all()
    @provide_session
    def get_task_instance(
        self,
        task_id: str,
        session: Session = NEW_SESSION,
        *,
        map_index: int = -1,
    ) -> TI | None:
        """
        Returns the task instance specified by task_id for this dag run
        :param task_id: the task id
        :param session: Sqlalchemy ORM Session
        """
        return (
            session.query(TI)
            .filter_by(dag_id=self.dag_id, run_id=self.run_id, task_id=task_id, map_index=map_index)
            .one_or_none()
        )
    def get_dag(self) -> DAG:
        """
        Returns the Dag associated with this DagRun.
        :return: DAG
        """
        if not self.dag:
            raise AirflowException(f"The DAG (.dag) for {self} needs to be set")
        return self.dag
    @provide_session
    def get_previous_dagrun(