feat(dds): реализован слой dds для bookings
- Зачем: - подготовлен учебный Star Schema слой для перехода от ODS к аналитике и витринам. - Что: - добавлены 21 SQL-файл для DDS (DDL/LOAD/DQ) с SCD1/SCD2 и фактом `fact_flight_sales`. - добавлены DAG `bookings_dds_ddl` и `bookings_to_gp_dds`, а также smoke-тесты структуры DAG. - обновлены `sql/ddl_gp.sql` и документация (`README`, `docs/*`, `db_schema`) под поток `stg -> ods -> dds`. - Проверка: - make test.
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from __future__ import annotations
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"""
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Учебный DAG: загрузка из ODS в DDS (Greenplum) по домену bookings.
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Ключевая идея:
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- DDS читает текущее состояние ODS;
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- для каждой сущности выполняем пару задач load -> dq;
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- для dim_routes применяем SCD2, для остальных измерений — SCD1 UPSERT;
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- факт грузим инкрементальным UPSERT по зерну (ticket_no, flight_id).
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"""
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from datetime import timedelta
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from logging import getLogger
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import pendulum
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from airflow.operators.python import PythonOperator
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from airflow.providers.postgres.operators.postgres import PostgresOperator
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from airflow import DAG
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GREENPLUM_CONN_ID = "greenplum_conn"
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log = getLogger(__name__)
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default_args = {
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"owner": "airflow",
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"retries": 1,
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"retry_delay": timedelta(seconds=30),
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}
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def _finish_summary() -> None:
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"""Логирует краткий итог выполнения DDS-ветки."""
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log.info("DAG bookings_to_gp_dds завершён. Подробности смотрите в логах задач.")
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with DAG(
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dag_id="bookings_to_gp_dds",
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start_date=pendulum.datetime(2024, 1, 1, tz="UTC"),
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schedule=None,
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catchup=False,
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max_active_runs=1,
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template_searchpath="/sql",
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default_args=default_args,
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tags=["demo", "bookings", "greenplum", "dds"],
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description="Учебный DAG: загрузка ODS -> DDS (Star Schema) + DQ проверки",
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) as dag:
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load_dds_dim_calendar = PostgresOperator(
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task_id="load_dds_dim_calendar",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_calendar_load.sql",
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)
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dq_dds_dim_calendar = PostgresOperator(
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task_id="dq_dds_dim_calendar",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_calendar_dq.sql",
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)
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load_dds_dim_airports = PostgresOperator(
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task_id="load_dds_dim_airports",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_airports_load.sql",
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)
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dq_dds_dim_airports = PostgresOperator(
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task_id="dq_dds_dim_airports",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_airports_dq.sql",
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)
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load_dds_dim_airplanes = PostgresOperator(
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task_id="load_dds_dim_airplanes",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_airplanes_load.sql",
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)
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dq_dds_dim_airplanes = PostgresOperator(
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task_id="dq_dds_dim_airplanes",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_airplanes_dq.sql",
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)
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load_dds_dim_tariffs = PostgresOperator(
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task_id="load_dds_dim_tariffs",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_tariffs_load.sql",
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)
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dq_dds_dim_tariffs = PostgresOperator(
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task_id="dq_dds_dim_tariffs",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_tariffs_dq.sql",
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)
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load_dds_dim_passengers = PostgresOperator(
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task_id="load_dds_dim_passengers",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_passengers_load.sql",
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)
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dq_dds_dim_passengers = PostgresOperator(
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task_id="dq_dds_dim_passengers",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_passengers_dq.sql",
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)
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load_dds_dim_routes = PostgresOperator(
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task_id="load_dds_dim_routes",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_routes_load.sql",
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)
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dq_dds_dim_routes = PostgresOperator(
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task_id="dq_dds_dim_routes",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/dim_routes_dq.sql",
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)
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load_dds_fact_flight_sales = PostgresOperator(
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task_id="load_dds_fact_flight_sales",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/fact_flight_sales_load.sql",
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)
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dq_dds_fact_flight_sales = PostgresOperator(
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task_id="dq_dds_fact_flight_sales",
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postgres_conn_id=GREENPLUM_CONN_ID,
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sql="dds/fact_flight_sales_dq.sql",
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)
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finish_dds_summary = PythonOperator(
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task_id="finish_dds_summary",
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python_callable=_finish_summary,
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)
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load_dds_dim_calendar >> dq_dds_dim_calendar
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dq_dds_dim_calendar >> [
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load_dds_dim_airports,
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load_dds_dim_airplanes,
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load_dds_dim_tariffs,
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load_dds_dim_passengers,
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load_dds_dim_routes,
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]
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load_dds_dim_airports >> dq_dds_dim_airports
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load_dds_dim_airplanes >> dq_dds_dim_airplanes
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load_dds_dim_tariffs >> dq_dds_dim_tariffs
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load_dds_dim_passengers >> dq_dds_dim_passengers
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load_dds_dim_routes >> dq_dds_dim_routes
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[
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dq_dds_dim_airports,
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dq_dds_dim_airplanes,
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dq_dds_dim_tariffs,
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dq_dds_dim_passengers,
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dq_dds_dim_routes,
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] >> load_dds_fact_flight_sales
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load_dds_fact_flight_sales >> dq_dds_fact_flight_sales >> finish_dds_summary
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