### 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)

tags=self.stats_tags,
            )
        self.task = self.task.prepare_for_execution()
        context = self.get_template_context(ignore_param_exceptions=False)
        
        
        get_listener_manager().hook.on_task_instance_running(
            previous_state=TaskInstanceState.QUEUED, task_instance=self, session=session
        )
        try:
            if not mark_success:
                self._execute_task_with_callbacks(context, test_mode)
            if not test_mode:
                self.refresh_from_db(lock_for_update=True, session=session)
            self.state = State.SUCCESS
        except TaskDeferred as defer:
            
            
            self._defer_task(defer=defer, session=session)
            self.log.info(
                "Pausing task as DEFERRED. dag_id=%s, task_id=%s, execution_date=%s, start_date=%s",
                self.dag_id,
                self.task_id,
                self._date_or_empty("execution_date"),
                self._date_or_empty("start_date"),
            )
            if not test_mode:
                session.add(Log(self.state, self))
                session.merge(self)
                session.commit()