### 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)

if TYPE_CHECKING:
                        assert self.task.dag
                    execution_date = timezone.make_aware(execution_date, self.task.dag.timezone)
                else:
                    execution_date = timezone.make_aware(execution_date)
                execution_date = timezone.convert_to_utc(execution_date)
            with create_session() as session:
                run_id = (
                    session.query(DagRun.run_id)
                    .filter_by(dag_id=self.dag_id, execution_date=execution_date)
                    .scalar()
                )
                if run_id is None:
                    raise DagRunNotFound(
                        f"DagRun for {self.dag_id!r} with date {execution_date} not found"
                    ) from None
        self.run_id = run_id
        self.try_number = 0
        self.max_tries = self.task.retries
        self.unixname = getuser()
        if state:
            self.state = state
        self.hostname = ""
        
        
        self.raw = False
        
        self.test_mode = False
    @property
    def stats_tags(self) -> dict[str, str]: