### 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)

"""
        Looks at all tasks that are in the "deferred" state and whose trigger
        or execution timeout has passed, so they can be marked as failed.
        """
        num_timed_out_tasks = (
            session.query(TI)
            .filter(
                TI.state == TaskInstanceState.DEFERRED,
                TI.trigger_timeout < timezone.utcnow(),
            )
            .update(
                
                
                {
                    "state": TaskInstanceState.SCHEDULED,
                    "next_method": "__fail__",
                    "next_kwargs": {"error": "Trigger/execution timeout"},
                    "trigger_id": None,
                }
            )
        )
        if num_timed_out_tasks:
            self.log.info("Timed out %i deferred tasks without fired triggers", num_timed_out_tasks)
    def _find_zombies(self) -> None: