### 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)

ti.state = TaskInstanceState.RESTARTING
                job_ids.append(ti.job_id)
        else:
            ti_dag = dag if dag and dag.dag_id == ti.dag_id else dag_bag.get_dag(ti.dag_id, session=session)
            task_id = ti.task_id
            if ti_dag and ti_dag.has_task(task_id):
                task = ti_dag.get_task(task_id)
                ti.refresh_from_task(task)
                task_retries = task.retries
                ti.max_tries = ti.try_number + task_retries - 1
            else:
                
                
                
                
                ti.max_tries = max(ti.max_tries, ti.prev_attempted_tries)
            ti.state = None
            ti.external_executor_id = None
            ti.clear_next_method_args()
            session.merge(ti)
        task_id_by_key[ti.dag_id][ti.run_id][ti.map_index][ti.try_number].add(ti.task_id)
    if task_id_by_key:
        
        
        
        
        
        
        conditions = or_(