ddadmin
14d16c5cae
Add comprehensive DAG implementation for ClickHouse schema initialization and ETL pipeline orchestration. The ddl_init_dag manages database schema creation across stg/ods/dds/dm layers with verification capabilities. The etl_pipeline_dag implements full ODS to DDS to DM transformation flow with data quality checks, branching logic for full/incremental loads, and timeout handling for data availability. Additional changes: - Upgrade Airflow from 2.9.3 to 2.10.5 - Fix ClickHouse connection to use native protocol port 9000 - Mount SQL directory in docker-compose for DAG execution - Update project requirements and documentation comments - Remove unused pandas dependency
283 lines
11 KiB
Python
283 lines
11 KiB
Python
"""
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DAG ETL-процесса ODS -> DDS -> DM для учебного проекта.
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Принципы реализации:
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- SQL выполняется явными task на ClickHouseOperator;
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- SQL-файлы вызываются по фиксированным путям;
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- Python используется только для управляющей логики (branch/wait/assert).
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"""
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from __future__ import annotations
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import re
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import time
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from datetime import datetime, timedelta
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from pathlib import Path
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from airflow import DAG
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from airflow.exceptions import AirflowException
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from airflow.models.param import Param
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from airflow.operators.empty import EmptyOperator
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from airflow.operators.python import BranchPythonOperator, PythonOperator
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from airflow.utils.task_group import TaskGroup
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from airflow.utils.trigger_rule import TriggerRule
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from airflow_clickhouse_plugin.hooks.clickhouse import ClickHouseHook
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from airflow_clickhouse_plugin.operators.clickhouse import ClickHouseOperator
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# -----------------------------------------------------------------------------
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# Базовые настройки DAG
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# -----------------------------------------------------------------------------
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default_args = {
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"owner": "airflow",
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"depends_on_past": False,
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"email_on_failure": False,
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"email_on_retry": False,
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"retries": 1,
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"retry_delay": timedelta(minutes=2),
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}
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# -----------------------------------------------------------------------------
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# SQL-файлы проекта
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# -----------------------------------------------------------------------------
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SQL_ROOT = Path(__file__).resolve().parents[1] / "sql"
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def load_sql_statements(relative_path: str) -> tuple[str, ...]:
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"""Читает SQL-файл и делит его на отдельные команды по ';'."""
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file_path = SQL_ROOT / relative_path
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if not file_path.is_file():
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raise AirflowException(f"SQL-файл не найден: {file_path}")
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sql_text = file_path.read_text(encoding="utf-8")
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statements: list[str] = []
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for segment in sql_text.split(";"):
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# Убираем блочные и строковые комментарии, чтобы не отправлять "пустые" запросы.
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no_block_comments = re.sub(r"/\*.*?\*/", "", segment, flags=re.S)
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lines = [line for line in no_block_comments.splitlines() if not line.strip().startswith("--")]
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cleaned = "\n".join(lines).strip()
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if cleaned:
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statements.append(cleaned)
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if not statements:
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raise AirflowException(f"SQL-файл пустой: {file_path}")
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return tuple(statements)
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# -----------------------------------------------------------------------------
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# SQL для проверок и технических шагов
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# -----------------------------------------------------------------------------
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SQL_CHECK_CLICKHOUSE = "SELECT 1 AS ok"
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SQL_CHECK_SCHEMA_READY = """
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SELECT
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(SELECT count() FROM system.tables WHERE database = 'stg' AND name = 'browser_raw') AS stg_browser_raw,
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(SELECT count() FROM system.tables WHERE database = 'ods' AND name = 'browser_event') AS ods_browser_event,
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(SELECT count() FROM system.tables WHERE database = 'dds' AND name = 'event') AS dds_event,
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(SELECT count() FROM system.tables WHERE database = 'dm' AND name = 'v_events_enriched') AS dm_v_events_enriched
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"""
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SQL_CHECK_ODS_QUALITY = """
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SELECT
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count() AS total_rows,
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countIf(length(parse_errors) > 0) AS rows_with_errors,
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round(if(count() = 0, 0, countIf(length(parse_errors) > 0) / count() * 100), 2) AS error_pct
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FROM ods.browser_event
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"""
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SQL_TRUNCATE_DDS_CLICK = "TRUNCATE TABLE dds.click"
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SQL_TRUNCATE_DDS_EVENT = "TRUNCATE TABLE dds.event"
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SQL_CHECK_DDS_INTEGRITY = """
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SELECT
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countIf(click_id IS NOT NULL AND click_id NOT IN (SELECT click_id FROM dds.click)) AS orphan_events
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FROM dds.event
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"""
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SQL_VALIDATE_DM_SUMMARY = "SELECT count() AS dq_rows FROM dm.dq_summary"
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# -----------------------------------------------------------------------------
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# Управляющие функции
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# -----------------------------------------------------------------------------
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def assert_schema_ready(**context) -> None:
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"""Падает, если DDL не применён полностью."""
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ti = context["ti"]
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result = ti.xcom_pull(task_ids="precheck.check_schema_ready_sql")
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if not result or not result[0] or len(result[0]) != 4:
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raise AirflowException(f"Некорректный результат check_schema_ready_sql: {result}")
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if any(value == 0 for value in result[0]):
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raise AirflowException(
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"Схема не готова: сначала запустите DAG ddl_init, затем повторите etl_pipeline."
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)
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def wait_for_ods_data(**context) -> None:
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"""
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Ожидает появления строк в ods.browser_event до заданного таймаута.
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Таймаут берётся из dag_run.conf.wait_ods_timeout_sec или из params.
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"""
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dag_run = context.get("dag_run")
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conf = dag_run.conf if dag_run else {}
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timeout_sec = int(conf.get("wait_ods_timeout_sec", context["params"]["wait_ods_timeout_sec"]))
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poll_interval_sec = 10
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hook = ClickHouseHook(clickhouse_conn_id="clickhouse_default", database="default")
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started = time.monotonic()
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while True:
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rows = hook.execute("SELECT count() FROM ods.browser_event")
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count_rows = int(rows[0][0]) if rows else 0
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if count_rows > 0:
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return
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elapsed = int(time.monotonic() - started)
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if elapsed >= timeout_sec:
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raise AirflowException(
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f"Таймаут ожидания ODS истёк ({timeout_sec} сек). "
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"Таблица ods.browser_event всё ещё пуста."
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)
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time.sleep(poll_interval_sec)
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def choose_full_refresh(**context) -> str:
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"""Ветвление: делать TRUNCATE DDS или пропустить."""
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dag_run = context.get("dag_run")
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conf = dag_run.conf if dag_run else {}
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full_refresh = bool(conf.get("full_refresh", context["params"]["full_refresh"]))
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return "transform.truncate_dds_click" if full_refresh else "transform.skip_truncate"
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def assert_dm_summary_not_empty(**context) -> None:
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"""Проверяет, что dm.dq_summary заполнена после загрузки."""
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ti = context["ti"]
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result = ti.xcom_pull(task_ids="transform.validate_dm_summary_sql")
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if not result or not result[0] or len(result[0]) != 1:
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raise AirflowException(f"Некорректный результат validate_dm_summary_sql: {result}")
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dq_rows = int(result[0][0])
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if dq_rows <= 0:
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raise AirflowException("dm.dq_summary пуста после load_dm_summary.")
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with DAG(
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dag_id="etl_pipeline",
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description="ETL ODS -> DDS -> DM для demo-проекта",
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default_args=default_args,
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schedule=None,
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start_date=datetime(2024, 1, 1),
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catchup=False,
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max_active_runs=1,
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is_paused_upon_creation=True,
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tags=["etl", "clickhouse", "demo"],
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params={
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"full_refresh": Param(True, type="boolean"),
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"wait_ods_timeout_sec": Param(600, type="integer", minimum=30),
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},
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) as dag:
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with TaskGroup(group_id="precheck") as precheck:
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check_clickhouse = ClickHouseOperator(
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task_id="check_clickhouse",
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sql=SQL_CHECK_CLICKHOUSE,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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check_schema_ready_sql = ClickHouseOperator(
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task_id="check_schema_ready_sql",
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sql=SQL_CHECK_SCHEMA_READY,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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check_schema_ready = PythonOperator(
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task_id="check_schema_ready",
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python_callable=assert_schema_ready,
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)
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check_clickhouse >> check_schema_ready_sql >> check_schema_ready
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with TaskGroup(group_id="transform") as transform:
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wait_for_ods_data_task = PythonOperator(
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task_id="wait_for_ods_data",
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python_callable=wait_for_ods_data,
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)
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check_ods_quality = ClickHouseOperator(
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task_id="check_ods_quality",
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sql=SQL_CHECK_ODS_QUALITY,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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choose_refresh_mode = BranchPythonOperator(
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task_id="choose_refresh_mode",
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python_callable=choose_full_refresh,
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)
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truncate_dds_click = ClickHouseOperator(
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task_id="truncate_dds_click",
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sql=SQL_TRUNCATE_DDS_CLICK,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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truncate_dds_event = ClickHouseOperator(
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task_id="truncate_dds_event",
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sql=SQL_TRUNCATE_DDS_EVENT,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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skip_truncate = EmptyOperator(task_id="skip_truncate")
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truncate_complete = EmptyOperator(
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task_id="truncate_complete",
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trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS,
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)
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load_dds = ClickHouseOperator(
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task_id="load_dds",
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sql=load_sql_statements("dds/30_ods_to_dds.sql"),
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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check_dds_integrity = ClickHouseOperator(
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task_id="check_dds_integrity",
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sql=SQL_CHECK_DDS_INTEGRITY,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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load_dm_summary = ClickHouseOperator(
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task_id="load_dm_summary",
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sql=load_sql_statements("dm/40_dds_to_dm.sql"),
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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validate_dm_summary_sql = ClickHouseOperator(
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task_id="validate_dm_summary_sql",
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sql=SQL_VALIDATE_DM_SUMMARY,
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clickhouse_conn_id="clickhouse_default",
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database="default",
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)
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validate_dm_summary = PythonOperator(
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task_id="validate_dm_summary",
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python_callable=assert_dm_summary_not_empty,
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)
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wait_for_ods_data_task >> check_ods_quality >> choose_refresh_mode
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choose_refresh_mode >> truncate_dds_click >> truncate_dds_event >> truncate_complete
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choose_refresh_mode >> skip_truncate >> truncate_complete
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truncate_complete >> load_dds >> check_dds_integrity >> load_dm_summary >> validate_dm_summary_sql >> validate_dm_summary
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precheck >> transform
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