首页 > 解决方案 > Python - 将日期时间参数传递给 SQL 命令

问题描述

我正在尝试在 Python 中做这样的事情,

SQLCommand = ("Delete From %s where [Date] >= %s and [Date] <= %s", (calendar_table_name, required_starting_date, required_ending_date))

cursor.execute(SQLCommand)

calendar_table_name是一个string变量

required_starting_date是一个datetime变量

required_ending_date是一个datetime变量

尝试这样做会给我一个错误:

要执行的第一个参数必须是字符串或 unicode 查询。

试过这个,它给了我同样的错误:

SQLCommand = ("Delete From " +  calendar_table_name + " where [Date] >= %s and [Date] <= %s", ( required_starting_date, required_ending_date))

cursor.execute(SQLCommand)

编辑:

type(required_ending_date)

Out[103]: pandas._libs.tslibs.timestamps.Timestamp


type(required_starting_date)

Out[103]: pandas._libs.tslibs.timestamps.Timestamp

这对我来说适用于 SSMS,

  delete from [table_test] where [Date] >= '2007-01-01' and [Date] <= '2021-01-01';

更新:-这是我正在尝试的代码

Delete_SQLCommand =  f"Delete FROM [{calendar_table_name}] WHERE [Date]>=? And [Date]<=?"
params = (required_starting_date, required_ending_date)

required_starting_date & required_ending_date 是“时间戳”格式

calendar_tbl_connection = pyodbc.connect(driver=driver, server=required_server, database=database_name,
                     trusted_connection='yes')   
calendar_tbl_cursor = calendar_tbl_connection.cursor()
calendar_tbl_cursor.execute(Delete_SQLCommand,params)
calendar_tbl_connection.commit
calendar_tbl_connection.close()

标签: pythonsql-serverpandaspyodbc

解决方案


Timestamppyodbc 将 pandas 的值作为正确参数化查询的输入处理没有问题:

# test data
calendar_table_name = "#calendar_table"
crsr.execute(f"CREATE TABLE [{calendar_table_name}] ([Date] date)")
crsr.execute(f"INSERT INTO [{calendar_table_name}] VALUES ('2019-08-22'),('2019-08-24')")
df = pd.DataFrame(
    [(datetime(2019, 8, 23, 0, 0), datetime(2019, 8, 25, 0, 0))],
    columns=['required_starting_date', 'required_ending_date'])
required_starting_date = df.iloc[0][0]
required_ending_date = df.iloc[0][1]
print(type(required_starting_date))  # <class 'pandas._libs.tslibs.timestamps.Timestamp'>

# test
sql = f"DELETE FROM [{calendar_table_name}] WHERE [Date]>=? AND [Date]<=?"
params = (required_starting_date, required_ending_date)
crsr.execute(sql, params)
cnxn.commit()

#verify
rows = crsr.execute(f"SELECT * FROM [{calendar_table_name}]").fetchall()
print(rows)  # [(datetime.date(2019, 8, 22), )]

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