### 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)

ancestor_ti_count = common_ancestor.get_mapped_ti_count(self.run_id, session=session)
        ancestor_map_index = self.map_index * ancestor_ti_count // ti_count
        
        
        
        
        if not _is_further_mapped_inside(upstream, common_ancestor):
            return ancestor_map_index
        
        
        further_count = ti_count // ancestor_ti_count
        map_index_start = ancestor_map_index * further_count
        return range(map_index_start, map_index_start + further_count)
    def clear_db_references(self, session):
        """
        Clear DB references to XCom, TaskFail and RenderedTaskInstanceFields.
        :param session: ORM Session
        :meta private:
        """
        from airflow.models.renderedtifields import RenderedTaskInstanceFields
        tables = [TaskFail, XCom, RenderedTaskInstanceFields]
        for table in tables:
            session.query(table).filter(
                table.dag_id == self.dag_id,
                table.task_id == self.task_id,
                table.run_id == self.run_id,
                table.map_index == self.map_index,
            ).delete()
def _find_common_ancestor_mapped_group(node1: Operator, node2: Operator) -> MappedTaskGroup | None: