### 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, dag: DAG, ti_mutation_hook, *, session: Session
    ) -> set[str]:
        """
        Check for removed tasks/restored/missing tasks.
        :param dag: DAG object corresponding to the dagrun
        :param ti_mutation_hook: task_instance_mutation_hook function
        :param session: Sqlalchemy ORM Session
        :return: Task IDs in the DAG run
        """
        tis = self.get_task_instances(session=session)
        
        task_ids = set()
        for ti in tis:
            ti_mutation_hook(ti)
            task_ids.add(ti.task_id)
            try:
                task = dag.get_task(ti.task_id)
                should_restore_task = (task is not None) and ti.state == State.REMOVED
                if should_restore_task:
                    self.log.info("Restoring task '%s' which was previously removed from DAG '%s'", ti, dag)
                    Stats.incr(f"task_restored_to_dag.{dag.dag_id}", tags=self.stats_tags)
                    ti.state = State.NONE
            except AirflowException:
                if ti.state == State.REMOVED: