### 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,
        session: Session | None = None,
        ignore_param_exceptions: bool = True,
    ) -> Context:
        """Return TI Context"""
        
        if not session:
            session = settings.Session()
        from airflow import macros
        from airflow.models.abstractoperator import NotMapped
        integrate_macros_plugins()
        task = self.task
        if TYPE_CHECKING:
            assert task.dag
        dag: DAG = task.dag
        dag_run = self.get_dagrun(session)
        data_interval = dag.get_run_data_interval(dag_run)
        validated_params = process_params(dag, task, dag_run, suppress_exception=ignore_param_exceptions)
        logical_date = timezone.coerce_datetime(self.execution_date)
        ds = logical_date.strftime("%Y-%m-%d")
        ds_nodash = ds.replace("-", "")
        ts = logical_date.isoformat()
        ts_nodash = logical_date.strftime("%Y%m%dT%H%M%S")
        ts_nodash_with_tz = ts.replace("-", "").replace(":", "")
        @cache  
        def _get_previous_dagrun_success() -> DagRun | None: