### 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,
        error: None | str | Exception | KeyboardInterrupt,
        test_mode: bool | None = None,
        context: Context | None = None,
        force_fail: bool = False,
        session: Session = NEW_SESSION,
    ) -> None:
        """Handle Failure for the TaskInstance"""
        if test_mode is None:
            test_mode = self.test_mode
        get_listener_manager().hook.on_task_instance_failed(
            previous_state=TaskInstanceState.RUNNING, task_instance=self, session=session
        )
        if error:
            if isinstance(error, BaseException):
                tb = self.get_truncated_error_traceback(error, truncate_to=self._execute_task)
                self.log.error("Task failed with exception", exc_info=(type(error), error, tb))
            else:
                self.log.error("%s", error)
        if not test_mode:
            self.refresh_from_db(session)
        self.end_date = timezone.utcnow()
        self.set_duration()
        Stats.incr(f"operator_failures_{self.operator}", tags=self.stats_tags)
        Stats.incr("ti_failures", tags=self.stats_tags)