### 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)

return ()
        
        expansion_happened = False
        for schedulable in itertools.chain(schedulable_tis, additional_tis):
            old_state = schedulable.state
            if not schedulable.are_dependencies_met(session=session, dep_context=dep_context):
                old_states[schedulable.key] = old_state
                continue
            
            
            
            
            
            
            new_tis = None
            if schedulable.map_index < 0:
                new_tis = _expand_mapped_task_if_needed(schedulable)
                if new_tis is not None:
                    additional_tis.extend(new_tis)
                    expansion_happened = True
            if new_tis is None and schedulable.state in SCHEDULEABLE_STATES:
                ready_tis.extend(self._revise_map_indexes_if_mapped(schedulable.task, session=session))
                ready_tis.append(schedulable)
        
        tis_filter = TI.filter_for_tis(old_states)
        if tis_filter is not None:
            fresh_tis = session.query(TI).filter(tis_filter).all()
            changed_tis = any(ti.state != old_states[ti.key] for ti in fresh_tis)
        return ready_tis, changed_tis, expansion_happened
    def _are_premature_tis(