### 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 destruct task if state has been moved away from running externally."""
        if self.terminating:
            
            self.task_runner.terminate()
            return
        self.task_instance.refresh_from_db()
        ti = self.task_instance
        if ti.state == State.RUNNING:
            fqdn = get_hostname()
            same_hostname = fqdn == ti.hostname
            if not same_hostname:
                self.log.error(
                    "The recorded hostname %s does not match this instance's hostname %s",
                    ti.hostname,
                    fqdn,
                )
                raise AirflowException("Hostname of job runner does not match")
            current_pid = self.task_runner.get_process_pid()
            recorded_pid = ti.pid
            same_process = recorded_pid == current_pid
            if recorded_pid is not None and (ti.run_as_user or self.task_runner.run_as_user):
                
                
                
                
                
                
                recorded_pid = psutil.Process(ti.pid).ppid()
                same_process = recorded_pid == current_pid
            if recorded_pid is not None and not same_process and not IS_WINDOWS: