### 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)

data_interval_end = Column(UtcDateTime)
    
    last_scheduling_decision = Column(UtcDateTime)
    dag_hash = Column(String(32))
    
    
    
    log_template_id = Column(
        Integer,
        ForeignKey("log_template.id", name="task_instance_log_template_id_fkey", ondelete="NO ACTION"),
        default=select(func.max(LogTemplate.__table__.c.id)),
    )
    updated_at = Column(UtcDateTime, default=timezone.utcnow, onupdate=timezone.utcnow)
    
    if not TYPE_CHECKING and "BUILDING_AIRFLOW_DOCS" in os.environ:
        dag: DAG | None
    else:
        dag: DAG | None = None
    __table_args__ = (
        Index("dag_id_state", dag_id, _state),
        UniqueConstraint("dag_id", "execution_date", name="dag_run_dag_id_execution_date_key"),
        UniqueConstraint("dag_id", "run_id", name="dag_run_dag_id_run_id_key"),
        Index("idx_last_scheduling_decision", last_scheduling_decision),
        Index("idx_dag_run_dag_id", dag_id),
        Index(
            "idx_dag_run_running_dags",
            "state",
            "dag_id",
            postgresql_where=text("state='running'"),
            mssql_where=text("state='running'"),