### 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)

params = [
            lead_msg,
            str(self.state).upper(),
            self.dag_id,
            self.task_id,
        ]
        message = "%sMarking task as %s. dag_id=%s, task_id=%s, "
        if self.map_index >= 0:
            params.append(self.map_index)
            message += "map_index=%d, "
        self.log.info(
            message + "execution_date=%s, start_date=%s, end_date=%s",
            *params,
            self._date_or_empty("execution_date"),
            self._date_or_empty("start_date"),
            self._date_or_empty("end_date"),
        )
    
    
    def clear_next_method_args(self) -> None:
        self.log.debug("Clearing next_method and next_kwargs.")
        self.next_method = None
        self.next_kwargs = None
    @provide_session
    @Sentry.enrich_errors
    def _run_raw_task(
        self,
        mark_success: bool = False,
        test_mode: bool = False,