### 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)

"""Remake the key by subtracting 1 from try number to match in memory information"""
        return TaskInstanceKey(
            self.dag_id, self.task_id, self.run_id, max(1, self.try_number - 1), self.map_index
        )
    def with_try_number(self, try_number: int) -> TaskInstanceKey:
        """Returns TaskInstanceKey with provided ``try_number``"""
        return TaskInstanceKey(self.dag_id, self.task_id, self.run_id, try_number, self.map_index)
    @property
    def key(self) -> TaskInstanceKey:
        """For API-compatibly with TaskInstance.
        Returns self
        """
        return self
def _creator_note(val):
    """Custom creator for the ``note`` association proxy."""
    if isinstance(val, str):
        return TaskInstanceNote(content=val)
    elif isinstance(val, dict):
        return TaskInstanceNote(**val)
    else:
        return TaskInstanceNote(*val)
class TaskInstance(Base, LoggingMixin):
    """
    Task instances store the state of a task instance. This table is the
    authority and single source of truth around what tasks have run and the
    state they are in.
    The SqlAlchemy model doesn't have a SqlAlchemy foreign key to the task or
    dag model deliberately to have more control over transactions.