first of all, sorry if I'm not writing in the right place or I'm not
providing enough info about the issue.
Using SQL Alchemy, with pyodbc. I'm trying to reflect a table. When I try
to do that, i get this message
DBAPIError: (pyodbc.Error) ('IM001', '[IM001] [unixODBC][Driver
Manager]Driver does not support this function (0) (SQLNumParams)') [SQL:
u'SELECT [COLUMNS_1].[TABLE_SCHEMA], [COLUMNS_1].[TABLE_NAME],
[COLUMNS_1].[COLUMN_NAME], [COLUMNS_1].[IS_NULLABLE],
[COLUMNS_1].[DATA_TYPE], [COLUMNS_1].[ORDINAL_POSITION],
[COLUMNS_1].[CHARACTER_MAXIMUM_LENGTH], [COLUMNS_1].[NUMERIC_PRECISION],
[COLUMNS_1].[NUMERIC_SCALE], [COLUMNS_1].[COLUMN_DEFAULT],
[COLUMNS_1].[COLLATION_NAME] \nFROM [INFORMATION_SCHEMA].[COLUMNS] AS
[COLUMNS_1] \nWHERE [COLUMNS_1].[TABLE_NAME] = CAST(? AS NVARCHAR(max)) AND
[COLUMNS_1].[TABLE_SCHEMA] = CAST(? AS NVARCHAR(max)) ORDER BY
[COLUMNS_1].[ORDINAL_POSITION]'] [parameters: ('Order', 'dbo')]
Here is the code..
>>> from sqlalchemy.orm.session import Session>>> from sqlalchemy.schema import
>>> MetaData>>> import sqlalchemy as SQLA>>> eng =
>>> SQLA.create_engine(connection_string)>>> session =
>>> Session(eng.connect())>>> class DB:... pass... >>> db = DB()>>>
>>> db.session = session>>> db.engine = eng>>> db.metadata =
>>> MetaData(bind=db.engine, schema='dbo')>>> db.session.execute("select * from
>>> information_schema.columns")<sqlalchemy.engine.result.ResultProxy object at
>>> 0x7f76eb770890>>>> t = SQLA.Table('Order', db.metadata, autoload=True,
>>> extend_existing=True, autoload_with=db.engine)>>> Traceback (most recent
>>> call last):... File "<stdin>", line 1, in <module> ... See the error above
The code is running on a RHEL 7.x with unixODBC, Microsoft SQL Server
Native clinet 11 for Linux. Python 2.7.11
Here are the pip requirements
- - click (6.6) db-connection-maker (1.2.0)
- - Flask (0.11.1)
- - itsdangerous (0.24)
- - Jinja2 (2.8)
- - MarkupSafe (0.23)
- - pip (8.0.2)
- - pyaml (15.8.2)
- - pyodbc (3.0.10)
- - PyYAML (3.11)
- - setuptools (19.6.2)
- - simplejson (3.8.2)
- - SQLAlchemy (1.0.14)
- - Werkzeug (0.11.10)
Note that the same code works without issues on windows.
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