使用 Airflow 构建数据流水线
Volker Janz
Senior Developer Advocate at Astronomer
{{ ds }} 将每次运行绑定到日期,适用于按时间调度的 Dagds 为 None,不可用partition_key 传递到下游
from airflow.sdk import dag, CronPartitionTimetable
@dag(schedule=CronPartitionTimetable("0 0 * * *", timezone="UTC"))
def sales_pipeline():
...
partition_key在 Python 任务中:
@task
def process_data(dag_run=None):
partition_key = dag_run.partition_key
print(f"Processing: {partition_key}")
在 SQL 模板中:
DELETE FROM daily_summary
WHERE order_date = '{{ dag_run.partition_key[:10] }}';
from airflow.sdk import dag, task, Asset, CronPartitionTimetable
daily_sales = Asset("daily_sales")
@dag(schedule=CronPartitionTimetable("0 0 * * *", timezone="UTC"))
def sales_pipeline():
@task(outlets=[daily_sales])
def load_data(**context):
...
from airflow.sdk import dag, task, Asset, PartitionedAssetTimetable
daily_sales = Asset("daily_sales")
@dag(schedule=PartitionedAssetTimetable(assets=daily_sales))
def sales_report():
@task
def generate_report(dag_run=None):
partition_key = dag_run.partition_key
print(f"Report for: {partition_key}")
from airflow.sdk import (
dag, PartitionedAssetTimetable,
StartOfDayMapper,
)
@dag(schedule=PartitionedAssetTimetable(
assets=daily_sales,
partition_mapper_config={
daily_sales: StartOfDayMapper()
},
))
def sales_report():
...
映射前:
2026-04-23T00:00:00
使用 StartOfDayMapper 后:
2026-04-23
$$
StartOfHourMapper、StartOfWeekMapper、StartOfMonthMapperAllowedKeyMapper
CronPartitionTimetable 为每次运行附加分区键StartOfDayMapper 将时间戳规范为日期PartitionedAssetTimetable 被触发并继承映射后的键使用 Airflow 构建数据流水线