### 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)

execution_timeout = self.task.execution_timeout
        if execution_timeout:
            if self.trigger_timeout:
                self.trigger_timeout = min(self.start_date + execution_timeout, self.trigger_timeout)
            else:
                self.trigger_timeout = self.start_date + execution_timeout
    def _run_execute_callback(self, context: Context, task: Operator) -> None:
        """Functions that need to be run before a Task is executed"""
        callbacks = task.on_execute_callback
        if callbacks:
            callbacks = callbacks if isinstance(callbacks, list) else [callbacks]
            for callback in callbacks:
                try:
                    callback(context)
                except Exception:
                    self.log.exception("Failed when executing execute callback")
    @provide_session
    def run(
        self,
        verbose: bool = True,
        ignore_all_deps: bool = False,
        ignore_depends_on_past: bool = False,
        wait_for_past_depends_before_skipping: bool = False,
        ignore_task_deps: bool = False,
        ignore_ti_state: bool = False,
        mark_success: bool = False,
        test_mode: bool = False,
        job_id: str | None = None,
        pool: str | None = None,
        session: Session = NEW_SESSION,