### 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)

self,
        tasks: Iterable[Operator],
        task_creator: TaskCreator,
        *,
        session: Session,
    ) -> CreatedTasks:
        """
        Create missing tasks -- and expand any MappedOperator that _only_ have literals as input
        :param tasks: Tasks to create jobs for in the DAG run
        :param task_creator: Function to create task instances
        """
        map_indexes: Iterable[int]
        for task in tasks:
            try:
                count = task.get_mapped_ti_count(self.run_id, session=session)
            except (NotMapped, NotFullyPopulated):
                map_indexes = (-1,)
            else:
                if count:
                    map_indexes = range(count)
                else:
                    
                    
                    map_indexes = (-1,)
            yield from task_creator(task, map_indexes)
    def _create_task_instances(