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Transform airflow Library

Project description

Transform Airflow

Install:

pip install transform-airflow

Available Operators:

  • MaterializeOperator
    • materialization_name: str
    • start_time: Optional[str]
    • end_time: Optional[str]
    • model_key_id: Optional[int]=None
    • output_table: Optional[str]=None
    • force: bool=False

Creating DAG:

from transform_airflow.operators import MaterializeOperator

# Init DAG
my_dag = DAG("my_dag_name")


# Associate task with DAG
op = MaterializeOperator(
  task_id=task_id,
  materialization_name="test",
  start_time="2021-01-01",
  end_time="2021-01-10",
)

# Perform any dependency structuring on tasks

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