### 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)

for obj in self.task.outlets or []:
            self.log.debug("outlet obj %s", obj)
            
            if isinstance(obj, Dataset):
                dataset_manager.register_dataset_change(
                    task_instance=self,
                    dataset=obj,
                    session=session,
                )
    def _execute_task_with_callbacks(self, context, test_mode=False):
        """Prepare Task for Execution"""
        from airflow.models.renderedtifields import RenderedTaskInstanceFields
        parent_pid = os.getpid()
        def signal_handler(signum, frame):
            pid = os.getpid()
            
            
            
            
            if pid != parent_pid:
                os._exit(1)
                return
            self.log.error("Received SIGTERM. Terminating subprocesses.")
            self.task.on_kill()
            raise AirflowException("Task received SIGTERM signal")
        signal.signal(signal.SIGTERM, signal_handler)
        
        if not self.next_method:
            self.clear_xcom_data()
        with Stats.timer(f"dag.{self.task.dag_id}.{self.task.task_id}.duration", tags=self.stats_tags):