### 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)

"prev_execution_date_success": self.get_previous_execution_date(
                state=DagRunState.SUCCESS,
                session=session,
            ),
            "prev_start_date_success": get_prev_start_date_success(),
            "run_id": self.run_id,
            "task": task,
            "task_instance": self,
            "task_instance_key_str": f"{task.dag_id}__{task.task_id}__{ds_nodash}",
            "test_mode": self.test_mode,
            "ti": self,
            "tomorrow_ds": get_tomorrow_ds(),
            "tomorrow_ds_nodash": get_tomorrow_ds_nodash(),
            "triggering_dataset_events": lazy_object_proxy.Proxy(get_triggering_events),
            "ts": ts,
            "ts_nodash": ts_nodash,
            "ts_nodash_with_tz": ts_nodash_with_tz,
            "var": {
                "json": VariableAccessor(deserialize_json=True),
                "value": VariableAccessor(deserialize_json=False),
            },
            "conn": ConnectionAccessor(),
            "yesterday_ds": get_yesterday_ds(),
            "yesterday_ds_nodash": get_yesterday_ds_nodash(),
        }
        
        
        return Context(context)  
    @provide_session
    def get_rendered_template_fields(self, session: Session = NEW_SESSION) -> None: