Loop many times on many airflow tasks on one dag - airflow

Question

I am creating one dag that will have following structure of tasks. This DAG will be schedule to run
on everyday at 1:00 AM UTC time.
Get rows from database ---- loop on rows to run many task that require each row data.
For example I have method in my DAG that call MySQL database and return many rows .Each row data I have to pass in 4 task as a parameter. I have followed some google search docs but that is not running correctly.
return_db_result is method to get result from Cloud SQL in GCP.
def return_result():
db_engine_connection = create_cloud_sql_connection()
session = get_db_session(db_engine_connection)
result = session.query(Scheduled).filter(Scheduled.job_status == "Scheduled").all()
session.commit()
return result
I tried using for loop like something following
for row in return_result():
op1 = operator({ param=row.id})
op2 = operator({ param=row.id})
op3 = operator({ param=row.id})
op4 = operator({ param=row.id})
op1 >> op2 >> op3 >> op4
But these task does not show on airflow UI.

Answer 1

Based on your comments assuming your operator is:
class MyOperator(BaseOperator):
#apply_defaults
def __init__(self,
input_id,
input_date,
input_status,
*args, **kwargs):
super(MyOperator, self).__init__(*args, **kwargs)
self.input_id=input_id
self.input_date=input_date
self.input_status=input_status
def execute(self, context):
pass
You can use it as follows:
start_op = DummyOperator(task_id='start_op')
for row in return_db_result:
op1 = MyOperator(task_id=f"op1_{row.id}", input_id=row.id, input_date=row.date, input_status=row.status)
op2 = MyOperator(task_id=f"op2_{row.id}", input_id=row.id, input_date=row.date, input_status=row.status)
op3 = MyOperator(task_id=f"op3_{row.id}", input_id=row.id, input_date=row.date, input_status=row.status)
op4 = MyOperator(task_id=f"op4_{row.id}", input_id=row.id, input_date=row.date, input_status=row.status)
start_op >> op1 >> op2 >> op3 >> op4