31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
from __future__ import annotations
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"""
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Учебный DAG: создаёт схему stg и таблицы bookings_ext/bookings в Greenplum.
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Запускается вручную перед DAG загрузки bookings_to_gp_stage или после изменения DDL.
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"""
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from datetime import datetime, timedelta
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from airflow import DAG
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from airflow.providers.postgres.operators.postgres import PostgresOperator
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GREENPLUM_CONN_ID = "greenplum_conn"
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default_args = {"owner": "airflow", "retries": 1, "retry_delay": timedelta(seconds=30)}
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with DAG(
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dag_id="bookings_stg_ddl",
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start_date=datetime(2024, 1, 1),
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schedule=None,
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catchup=False,
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default_args=default_args,
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tags=["demo", "greenplum", "ddl", "bookings", "stg"],
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description="Создаёт/обновляет stg.bookings_ext и stg.bookings для учебного DAG",
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) as dag:
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apply_stg_bookings_ddl = PostgresOperator(
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task_id="apply_stg_bookings_ddl",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="/sql/stg/bookings_ddl.sql",
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)
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