I'm trying to create a DAG that will spawn N-tasks depending on the result of the previous task. The problem is that I cannot use the value returned from the previous task (in XCom) outside of Operator
Is there a way to make this work?
with DAG(
"spawn_dag",
start_date=datetime(2022, 1, 1)
) as dag:
# Calculates the number of tasks based on some previous task run
count_number_of_tasks = PythonOperator(
task_id='count_number_of_tasks',
python_callable=count_tasks_function,
dag=dag,
xcom_push=True,
provide_context=True
)
# Generates tasks and chains them
def dynamic_spawn_func(parent_dag_name, child_dag_name, start_date, args, **kwargs):
subdag = DAG(
dag_id=f"{parent_dag_name}.{child_dag_name}",
default_args=args,
start_date=start_date,
schedule_interval=None
)
# Here is the problem, the following variable cannot be used in a loop to spawn tasks
number_of_tasks = kwargs['ti'].xcom_pull(dag_id='spawn_dag', task_ids='count_number_of_tasks')
# This is where that variable is used
for j in range(number_of_tasks):
task = PythonOperator(
task_id='processor_' + str(j),
python_callable=some_func,
op_kwargs={"val": j},
dag=subdag,
provide_context=True)
task_2 = PythonOperator(
task_id='wait_for_processor_' + str(j),
python_callable=some_func,
op_kwargs={"val": j},
dag=subdag,
provide_context=True)
task >> task_2
return subdag
dynamic_spawn_op = SubDagOperator(
task_id='dynamic_spawn',
subdag=dynamic_spawn_func("spawn_dag", "dynamic_spawn", dag.start_date, args=default_args),
dag=dag,
provide_context=True
)
generate >> count_number_of_tasks >> dynamic_spawn_op
No. Migrate to Airflow 2.3+. Airlfow 1.10 is End of Life for 2 years now and you are shooting yourself in the foot by not upgrading. Not only you lack new features (like Dynamic Task Mapping) but also you make yourself super-vulnerable to potential security problems (there were 10s of CVEs fixed since 1.10) but also you put yourself in this position:
because you are one of the last peoople in the world who run Airflow 1.10.
Not upgrading at this stage is just very wrong decision because not upgrading costs you a LOT more than migration cost. Multiple times more.