我正在尝试将数据插入mssql数据库。我需要一个快速的方法，所以我将fast_executemmany参数设置为true。上传在大多数情况下都能正常工作，但如果其中一列是带有时区的日期时间，则会崩溃，引发：(pyodbc.Error) ('HY104', '[HY104] [Microsoft][ODBC Driver 17 for SQL Server]Invalid precision value (0) (SQLBindParameter)')如果我用fast_executemmany作为False插入相同的数据，那么一切都可以完美地工作。有没有人遇到过类似的问题或知道可能是什么问题？
示例代码

from sqlalchemy import create_engine, engine
import pytz
import pandas as pd
from sqlalchemy.dialects.mssql import DATETIMEOFFSET
import datetime

engine_url = engine.URL.create(
            drivername='mssql',
            username='admin',
            password='**',
            host='**',
            port='1433',
            database='mytestdb1',
            query={'driver': "ODBC Driver 17 for SQL Server"}
        )
mssql_engine = create_engine(engine_url, echo=False, fast_executemany=True)


base = datetime.datetime.today().replace(tzinfo=pytz.utc)
date_list = [base - datetime.timedelta(days=x) for x in range(20)]
df = pd.DataFrame(date_list, columns = ['date_time'])
df.to_sql('test_insert', mssql_engine, schema='testschema1', if_exists='replace', dtype = {'date_time':DATETIMEOFFSET})

回复：

DBAPIError: (pyodbc.Error) ('HY104', '[HY104] [Microsoft][ODBC Driver 17 for SQL Server]Invalid precision value (0) (SQLBindParameter)')
[SQL: INSERT INTO testschema1.test_datetime ([index], date_time) VALUES (?, ?)]
[parameters: ((0, '2022-05-06 16:40:05.434984 +00:00'), (1, '2022-05-05 16:40:05.434984 +00:00'), (2, '2022-05-04 16:40:05.434984 +00:00'), (3, '2022-05-03 16:40:05.434984 +00:00'), (4, '2022-05-02 16:40:05.434984 +00:00'), (5, '2022-05-01 16:40:05.434984 +00:00'), (6, '2022-04-30 16:40:05.434984 +00:00'), (7, '2022-04-29 16:40:05.434984 +00:00')  ... displaying 10 of 20 total bound parameter sets ...  (18, '2022-04-18 16:40:05.434984 +00:00'), (19, '2022-04-17 16:40:05.434984 +00:00'))]
 (Background on this error at: http://sqlalche.me/e/14/dbapi)

sqlalchemy==1.4，pyodbc==4.0.32和pandas==1.2.0
正如我所说的，如果我不使用fast_executemmany，代码可以完美地工作。