我知道这方面有很多主题，但我认为这是非常具体的。
我得到用于审计目的的当前代码：
import pandas as pd
import pyodbc
query = """
--Top 50 high total CPU Queries
SELECT TOP 50
'High CPU Queries' as Type,
serverproperty('machinename') as 'Server Name',
isnull(serverproperty('instancename'),serverproperty('machinename')) as 'Instance Name',
COALESCE(DB_NAME(qt.dbid),
DB_NAME(CAST(pa.value as int)),
'Resource') AS DBNAME,
qs.execution_count as [Execution Count],
qs.total_worker_time/1000 as [Total CPU Time],
(qs.total_worker_time/1000)/qs.execution_count as [Avg CPU Time],
qs.total_elapsed_time/1000 as [Total Duration],
(qs.total_elapsed_time/1000)/qs.execution_count as [Avg Duration],
qs.total_physical_reads as [Total Physical Reads],
qs.total_physical_reads/qs.execution_count as [Avg Physical Reads],
qs.total_logical_reads as [Total Logical Reads],
qs.total_logical_reads/qs.execution_count as [Avg Logical Reads],
SUBSTRING(qt.text,qs.statement_start_offset/2,
(case when qs.statement_end_offset = -1
then len(convert(nvarchar(max), qt.text)) * 2
else qs.statement_end_offset end -qs.statement_start_offset)/2)
as query_text
FROM sys.dm_exec_query_stats qs
cross apply sys.dm_exec_sql_text(qs.sql_handle) as qt
outer apply sys.dm_exec_query_plan (qs.plan_handle) qp
outer APPLY sys.dm_exec_plan_attributes(qs.plan_handle) pa
where attribute = 'dbid'
ORDER BY
[Total CPU Time] DESC
"""
cnxn = pyodbc.connect('xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx')
cnxn.execute(query).fetchall()
cnxn.close()
我收到以下错误：
cnxn.execute(sql_status_20).fetchall()
回溯（最近一次调用最后一次）：
文件“”，第 1 行，位于
pyodbc.ProgrammingError: ('ODBC SQL 类型 -150 尚不受支持。column-index=1 type=-150', 'HY106')
任何人都可以帮我处理这个问题吗？我对许多使用日期的 SQL Server 审核脚本有同样的问题，并且我无法更改驱动程序，因为我的生产环境中有各种 SQL 版本。
