Files
clickstream-ch-kafka-supers…/dags/ddl_init_dag.py
T
ddadmin 14d16c5cae feat(airflow): implement dag orchestration for ddl and etl
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
2026-02-07 21:52:31 +03:00

189 lines
6.8 KiB
Python

"""
DAG инициализации DDL в ClickHouse.
Учебный формат:
- каждая операция DDL выполняется отдельной SQL-task;
- SQL-файлы вызываются явно по фиксированным путям;
- режим verify_only позволяет прогонять только проверки схемы.
"""
from __future__ import annotations
import re
from datetime import datetime, timedelta
from pathlib import Path
from airflow import DAG
from airflow.exceptions import AirflowException
from airflow.models.param import Param
from airflow.operators.empty import EmptyOperator
from airflow.operators.python import BranchPythonOperator, PythonOperator
from airflow.utils.trigger_rule import TriggerRule
from airflow_clickhouse_plugin.operators.clickhouse import ClickHouseOperator
# -----------------------------------------------------------------------------
# Базовые настройки DAG
# -----------------------------------------------------------------------------
default_args = {
"owner": "airflow",
"depends_on_past": False,
"email_on_failure": False,
"email_on_retry": False,
"retries": 1,
"retry_delay": timedelta(minutes=2),
}
# -----------------------------------------------------------------------------
# SQL-файлы проекта
# -----------------------------------------------------------------------------
SQL_ROOT = Path(__file__).resolve().parents[1] / "sql"
def load_sql_statements(relative_path: str) -> tuple[str, ...]:
"""Читает SQL-файл и делит его на отдельные команды по ';'."""
file_path = SQL_ROOT / relative_path
if not file_path.is_file():
raise AirflowException(f"SQL-файл не найден: {file_path}")
sql_text = file_path.read_text(encoding="utf-8")
statements: list[str] = []
for segment in sql_text.split(";"):
# Убираем блочные и строковые комментарии, чтобы не отправлять "пустые" запросы.
no_block_comments = re.sub(r"/\*.*?\*/", "", segment, flags=re.S)
lines = [line for line in no_block_comments.splitlines() if not line.strip().startswith("--")]
cleaned = "\n".join(lines).strip()
if cleaned:
statements.append(cleaned)
if not statements:
raise AirflowException(f"SQL-файл пустой: {file_path}")
return tuple(statements)
# -----------------------------------------------------------------------------
# SQL-проверки
# -----------------------------------------------------------------------------
SQL_CHECK_CLICKHOUSE = "SELECT 1 AS ok"
SQL_VERIFY_SCHEMA = """
SELECT
(SELECT count() FROM system.tables WHERE database = 'stg' AND name = 'browser_raw') AS stg_browser_raw,
(SELECT count() FROM system.tables WHERE database = 'ods' AND name = 'browser_event') AS ods_browser_event,
(SELECT count() FROM system.tables WHERE database = 'dds' AND name = 'click') AS dds_click,
(SELECT count() FROM system.tables WHERE database = 'dds' AND name = 'event') AS dds_event,
(SELECT count() FROM system.tables WHERE database = 'dm' AND name = 'v_events_enriched') AS dm_v_events_enriched
"""
# -----------------------------------------------------------------------------
# Управляющие функции
# -----------------------------------------------------------------------------
def choose_ddl_mode(**context) -> str:
"""Выбирает ветку выполнения: full DDL или только verify."""
dag_run = context.get("dag_run")
conf = dag_run.conf if dag_run else {}
verify_only = bool(conf.get("verify_only", context["params"]["verify_only"]))
return "skip_ddl" if verify_only else "ddl_00_databases"
def assert_schema_ready(**context) -> None:
"""Проверяет результат финальной SQL-проверки схемы."""
ti = context["ti"]
result = ti.xcom_pull(task_ids="verify_schema_sql")
if not result or not result[0] or len(result[0]) != 5:
raise AirflowException(f"Некорректный результат проверки схемы: {result}")
if any(value == 0 for value in result[0]):
raise AirflowException(
"Схема применена не полностью. Проверьте таблицы/VIEW stg, ods, dds, dm."
)
with DAG(
dag_id="ddl_init",
description="Инициализация схемы ClickHouse (stg/ods/dds/dm)",
default_args=default_args,
schedule=None,
start_date=datetime(2024, 1, 1),
catchup=False,
max_active_runs=1,
is_paused_upon_creation=True,
tags=["ddl", "bootstrap", "clickhouse"],
params={
"verify_only": Param(False, type="boolean"),
},
) as dag:
check_clickhouse = ClickHouseOperator(
task_id="check_clickhouse",
sql=SQL_CHECK_CLICKHOUSE,
clickhouse_conn_id="clickhouse_default",
database="default",
)
choose_mode = BranchPythonOperator(
task_id="choose_mode",
python_callable=choose_ddl_mode,
)
ddl_00_databases = ClickHouseOperator(
task_id="ddl_00_databases",
sql=load_sql_statements("ddl/00_databases.sql"),
clickhouse_conn_id="clickhouse_default",
database="default",
)
ddl_10_stg = ClickHouseOperator(
task_id="ddl_10_stg",
sql=load_sql_statements("ddl/stg/10_stg.sql"),
clickhouse_conn_id="clickhouse_default",
database="default",
)
ddl_20_ods = ClickHouseOperator(
task_id="ddl_20_ods",
sql=load_sql_statements("ddl/ods/20_ods.sql"),
clickhouse_conn_id="clickhouse_default",
database="default",
)
ddl_30_dds = ClickHouseOperator(
task_id="ddl_30_dds",
sql=load_sql_statements("ddl/dds/30_dds.sql"),
clickhouse_conn_id="clickhouse_default",
database="default",
)
ddl_40_dm = ClickHouseOperator(
task_id="ddl_40_dm",
sql=load_sql_statements("ddl/dm/40_dm.sql"),
clickhouse_conn_id="clickhouse_default",
database="default",
)
skip_ddl = EmptyOperator(task_id="skip_ddl")
ddl_complete = EmptyOperator(
task_id="ddl_complete",
trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS,
)
verify_schema_sql = ClickHouseOperator(
task_id="verify_schema_sql",
sql=SQL_VERIFY_SCHEMA,
clickhouse_conn_id="clickhouse_default",
database="default",
)
verify_schema = PythonOperator(
task_id="verify_schema",
python_callable=assert_schema_ready,
)
check_clickhouse >> choose_mode
choose_mode >> skip_ddl >> ddl_complete
choose_mode >> ddl_00_databases >> ddl_10_stg >> ddl_20_ods >> ddl_30_dds >> ddl_40_dm >> ddl_complete
ddl_complete >> verify_schema_sql >> verify_schema