I am dynamically generating Airflow DAGs based on data from a Polars DataFrame. The DAG definition includes filtering this DataFrame at DAG creation time and again inside a task when the DAG runs. However, when I run the dag and I attempt to filter the polars dataframe inside the dynamically generated DAG, the task gets stuck indefinitely after printing before filter, without raising an error. Just gets stuck and runs forever until an airflow exception is thrown on memory usage. I am with airflow 2.7.3 version and polars 0.20.31 for what it is worth mentioning it. from airflow import DAG from airflow.operators.python import PythonOperator from datetime import datetime import polars as pl def dag_constructor(name): default_args = { 'owner': 'airflow', 'start_date': datetime(2023, 1, 1), 'retries': 1, } # Define the DAG dag = DAG( dag_id=f'{name}', default_args=default_args, description='A simple DAG to print Hello World', schedule_interval='@daily', catchup=False, ) def print_hello(): print("starting") df = pl.DataFrame({ "key": ["A", "B", "A"], "branch": ["br1", "ooo", "br2"], "chain": ["ch1", "Y", "ch2"] }) print(df) print("before filter") chains = df.filter(pl.col("key") == "A").select("chain").to_series().to_list() print("after filter") print(chains) print("finish dag") hello_task = PythonOperator( task_id='print_hello', python_callable=print_hello, dag=dag, ) hello_task return dag df = pl.DataFrame({ "key": ["A", "B", "A"], "branch": ["br1", "ooo", "br2"], "chain": ["ch1", "Y", "ch2"] }) chains = df.filter(pl.col("key") == "A").select("chain").to_series().to_list() ## chains = ["ch1", "ch2"] THIS WOULD WORK, AND WONT GET STUCK, if uncommenting and commenting previous line for ch in chains: dag_my_id = f"aa__{str(ch)}" globals()[dag_my_id] = dag_constructor("aa__"+ch) Continue reading...