MialLewis commented on issue #40056:
URL: https://github.com/apache/airflow/issues/40056#issuecomment-2153747994
Here is a minimal dag that reproduces the issue:
```
from airflow import DAG
from airflow.utils.dates import days_ago
default_args = {
'owner': 'airflow',
}
with DAG(
dag_id='issue_dag',
default_args=default_args,
start_date=days_ago(2),
tags=['issue'],
) as dag:
@dag.task
def error_fn():
import pandas as pd
output_df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
engine = _get_engine_from_conn(conn_id='MariaDB')
output_df.to_sql(name='test_table', con=engine, schema='temp',
if_exists='replace')
def _get_engine_from_conn(conn_id):
from airflow.providers.mysql.hooks.mysql import MySqlHook as hook
db_hook = hook(mysql_conn_id=conn_id)
engine = db_hook.get_sqlalchemy_engine()
return engine
error_task = error_fn()
```
The connection I am using to a simple MariaDB of the latest version:
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