raphaelauv commented on issue #31801:
URL: https://github.com/apache/airflow/issues/31801#issuecomment-2484574702
since airlfow 2.10.0
you can do
```python
from pathlib import Path
from airflow.models import DAG
from airflow.utils.dates import days_ago
from airflow.providers.common.sql.operators.sql import
SQLExecuteQueryOperator
with DAG(dag_id="toto",
start_date=days_ago(1),
schedule_interval="@daily"):
def generate_sql_query(context, jinja_env) -> list[str]:
with Path(__file__).with_name('toto.sql').open('r') as f:
query = f.read().format(something="TOTO", logical_date="{{ ds
}}")
query = context["task"].render_template(query, context,
jinja_env)
return query.split(";")
MySQLExecuteQueryOperator(
task_id="something",
sql=generate_sql_query,
conn_id='toto',
)
```
sql file toto.sql in same path than the dag file
```sql
select
*,
date('{logical_date}')
from toto_{something}
```
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