### 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,
        job: Job,
        subdir: str = settings.DAGS_FOLDER,
        num_runs: int = conf.getint("scheduler", "num_runs"),
        num_times_parse_dags: int = -1,
        scheduler_idle_sleep_time: float = conf.getfloat("scheduler", "scheduler_idle_sleep_time"),
        do_pickle: bool = False,
        log: logging.Logger | None = None,
        processor_poll_interval: float | None = None,
    ):
        super().__init__()
        if job.job_type and job.job_type != self.job_type:
            raise Exception(
                f"The job is already assigned a different job_type: {job.job_type}."
                f"This is a bug and should be reported."
            )
        self.job = job
        self.job.job_type = self.job_type
        self.subdir = subdir
        self.num_runs = num_runs
        
        
        
        self.num_times_parse_dags = num_times_parse_dags
        if processor_poll_interval: