[Python] Airflow DAG gets stuck when filtering a Polars DataFrame

Discussão em 'Python' iniciado por Stack, Fevereiro 19, 2025.

  1. Stack

    Stack Membro Participativo

    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)

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