Hello!
I am getting a very similar error message but sqlalchemy but not in pyodbc.
My database is SQL EXPRESS 2008.
Did you ever get a solution to your posts on Re: [sqlalchemy] SqlSoup
ProgrammingError The data types nvarchar and ntext are incompatible in the
equal operator
I am getting exactly the same error but in sqlalchemy.
I turned logging on and sqlalchemy reflected 5 larger tables with short
names and then choked at one with two rows but a long name.
Tables with *more than 10 characters *are not reflected by the
sqlalchemy.Table command when connected to sql server.
The statement sqlalchemy generates with table names > 10 characters errors
out but works in a pyodbc query.
I noticed short table names were being reflected so I renamed one table to
have fewer than 11 characters and it was reflected. Long named tables work
in pyodbc
I have shown the working query followed by the failed one.
PYODBC connection: WORKS
cnxn = pyodbc.connect('DRIVER={SQL
Server};SERVER=MADE_UP_HOST_NAME\SQLEXPRESS;DATABASE=MADE_UP_DB_NAME;UID=sa;PWD=MADE_UP_PASSWORD;')
sqlStmt = "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] FROM [INFORMATION_SCHEMA].[COLUMNS] AS
[COLUMNS_1] WHERE [COLUMNS_1].[TABLE_NAME] = ? AND
[COLUMNS_1].[TABLE_SCHEMA] = ? ORDER BY [COLUMNS_1].[ORDINAL_POSITION]"
cursor.execute(sqlStmt, 'site', 'dbo')
for row in cursor.fetchall():
print row
cursor.execute(sqlStmt, 'taxonomy_species', 'dbo')
for row in cursor.fetchall():
print row
output:
(u'dbo', u'site', u'owned_date', 'NO', u'datetime2', 14, None, None, None,
None None)
(u'dbo', u'site', u'owned_by', 'NO', u'int', 15, None, 10, 0, None, None)
(u'dbo', u'taxonomy_species', u'taxonomy_species_id', 'NO', u'int', 1,
None, 10 0, None, None)
(u'dbo', u'taxonomy_species', u'current_taxonomy_species_id', 'YES',
u'int', 2,None, 10, 0, None, None)
(u'dbo', u'taxonomy_species', u'nomen_number', 'YES', u'int', 3, None, 10,
0, None, None)
(u'dbo', u'taxonomy_species', u'is_specific_hybrid', 'NO', u'nvarchar', 4,
1, None, None, None, u'SQL_Latin1_General_CP1_CI_AS')
SQLALCHEMY connection: DOESN'T WORK
import urllib
quoted = urllib.quote_plus('DRIVER={SQL
Server};SERVER=MADE_UP_HOST\SQLEXPRESS;DATABASE=MADE_UP_DB_NAME;UID=sa;PWD=MADE_UP_PASSWORD;')
db =
sqlalchemy.create_engine("mssql+pyodbc:///?odbc_connect={0}".format(quoted))
output:
INFO:sqlalchemy.engine.base.Engine:SELECT [C].[COLUMN_NAME],
[R].[TABLE_SCHEMA], [R].[TABLE_NAME], [R].[COLUMN_NAME],
[REFERENTIAL_CONSTRAINTS_1].[CONSTRAINT_NAME],
[REFERENTIAL_CONSTRAINTS_1].[MATCH_OPTION],
[REFERENTIAL_CONSTRAINTS_1].[UPDATE_RULE],
[REFERENTIAL_CONSTRAINTS_1].[DELETE_RULE]
FROM [INFORMATION_SCHEMA].[KEY_COLUMN_USAGE] AS [C],
[INFORMATION_SCHEMA].[KEY_COLUMN_USAGE] AS [R],
[INFORMATION_SCHEMA].[REFERENTIAL_CONSTRAINTS] AS
[REFERENTIAL_CONSTRAINTS_1]
WHERE [C].[TABLE_NAME] = ? AND [C].[TABLE_SCHEMA] = ? AND
[C].[CONSTRAINT_NAME] = [REFERENTIAL_CONSTRAINTS_1].[CONSTRAINT_NAME] AND
[R].[CONSTRAINT_NAME] =
[REFERENTIAL_CONSTRAINTS_1].[UNIQUE_CONSTRAINT_NAME] AND
[C].[ORDINAL_POSITION] = [R].[ORDINAL_POSITION] ORDER BY
[REFERENTIAL_CONSTRAINTS_1].[CONSTRAINT_NAME], [R].[ORDINAL_POSITION]
INFO:sqlalchemy.engine.base.Engine:(u'sys_lang', u'dbo')
INFO:sqlalchemy.engine.base.Engine:select ind.index_id, ind.is_unique,
ind.name from sys.indexes as ind join sys.tables as tab on
ind.object_id=tab.object_id join sys.schemas as sch on
sch.schema_id=tab.schema_id where tab.name = ? and sch.name=? and
ind.is_primary_key=0
INFO:sqlalchemy.engine.base.Engine:(u'sys_lang', u'dbo')
.
.
.
INFO:sqlalchemy.engine.base.Engine: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]
FROM [INFORMATION_SCHEMA].[COLUMNS] AS [COLUMNS_1]
WHERE [COLUMNS_1].[TABLE_NAME] = ? AND [COLUMNS_1].[TABLE_SCHEMA] = ? ORDER
BY [COLUMNS_1].[ORDINAL_POSITION]
INFO:sqlalchemy.engine.base.Engine:(u'taxonomy_species', u'dbo')
INFO:sqlalchemy.engine.base.Engine:ROLLBACK
.
.
.
sqlalchemy.exc.ProgrammingError: (ProgrammingError) ('42000', '[42000]
[Microsoft][ODBC SQL Server Driver][SQL Server]The data types nvarchar and
ntext are incompatible in the equal to operator. (402) (SQLExecDirectW);
[42000] [Microsoft][ODBC SQL Server Driver][SQL Server]Statement(s) could
not be prepared. (8180)') 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] = ? AND [COLUMNS_1].[TABLE_SCHEMA] = ? ORDER BY
[COLUMNS_1].[ORDINAL_POSITION]' (u'taxonomy_species', u'dbo')
Configuration
Windows XP
sqlalchemy.__version__ = 0.8.0b2
python version = 2.6.6 (r266:84297, Aug 24 2010, 18:46:32) [MSC v.1500 32
bit (
Intel)]
ODBC:
Microsoft SQL Server ODBC Driver Version 03.85.1132
Data Source Name: MADE_UP_DSN
Data Source Description:
Server: MADE_UP_NAME \SQLEXPRESS
Database: MADE_UP_DATABASE
Language: (Default)
Translate Character Data: Yes
Log Long Running Queries: No
Log Driver Statistics: No
Use Integrated Security: Yes
Use Regional Settings: No
Prepared Statements Option: Drop temporary procedures on disconnect
Use Failover Server: No
Use ANSI Quoted Identifiers: Yes
Use ANSI Null, Paddings and Warnings: Yes
Data Encryption: No
Config: Sql Server 2008 Express
BuildClrVersion v2.0.50727
Collation Latin1_General_CI_AS
CollationID 53256
ComparisonStyle 196609
ComputerNamePhysicalNetBIOS MADE_UP_NAME
Edition Express Edition with Advanced Services
EditionID -133711905
EngineEdition 4
InstanceName SQLEXPRESS
IsClustered 0
IsFullTextInstalled 0
IsIntegratedSecurityOnly 0
IsSingleUser 0
LCID 1033
LicenseType DISABLED
MachineName MADE_UP_NAME
NumLicenses NULL
ProcessID 1684
ProductVersion 10.0.1600.22
ProductLevel RTM
ResourceLastUpdateDateTime 2008-07-09 16:50:29.033
ResourceVersion 10.00.1600
ServerName MADE_UP_NAME \SQLEXPRESS
SqlCharSet 1
SqlCharSetName iso_1
SqlSortOrder 0
SqlSortOrderName bin_ascii_8
Eugene Timmermans
On Monday, January 24, 2011 6:17:44 PM UTC-6, Mark Sharp wrote:
>
> I decided to try to get some reflection using SqlSoup on a MS SQL Server
> 2008 database.
>
> This is a copy of my session with the DSN obfuscated.
> >>> from sqlalchemy.ext.sqlsoup import SqlSoup
> >>> engine1 = SqlSoup("mssql+pyodbc://mydsn")
> >>> valid_species = db.valid_species.all()
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> NameError: name 'db' is not defined
> >>> valid_species = engine1.valid_species.all()
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/ext/sqlsoup.py",
>
> line 792, in __getattr__
> return self.entity(attr)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/ext/sqlsoup.py",
>
> line 789, in entity
> return self.map_to(attr, tablename=attr, schema=schema)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/ext/sqlsoup.py",
>
> line 672, in map_to
> schema=schema or self.schema)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/schema.py",
>
> line 210, in __new__
> table._init(name, metadata, *args, **kw)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/schema.py",
>
> line 258, in _init
> include_columns=include_columns)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/base.py",
>
> line 1863, in reflecttable
> self.dialect.reflecttable(conn, table, include_columns)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/default.py",
>
> line 228, in reflecttable
> return insp.reflecttable(table, include_columns)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/reflection.py",
>
> line 382, in reflecttable
> for col_d in self.get_columns(table_name, schema, **tblkw):
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/reflection.py",
>
> line 229, in get_columns
> **kw)
> File "<string>", line 1, in <lambda>
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/reflection.py",
>
> line 46, in cache
> ret = fn(self, con, *args, **kw)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/dialects/mssql/base.py",
>
> line 1244, in get_columns
> c = connection.execute(s)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/base.py",
>
> line 1191, in execute
> params)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/base.py",
>
> line 1271, in _execute_clauseelement
> return self.__execute_context(context)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/base.py",
>
> line 1302, in __execute_context
> context.parameters[0], context=context)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/base.py",
>
> line 1401, in _cursor_execute
> context)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/base.py",
>
> line 1394, in _cursor_execute
> context)
> File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/SQLAlchemy-0.6.6-py2.7.egg/sqlalchemy/engine/default.py",
>
> line 299, in do_execute
> cursor.execute(statement, parameters)
> sqlalchemy.exc.ProgrammingError: (ProgrammingError) ('42000', '[42000]
> [Actual][SQL Server] The data types nvarchar and ntext are incompatible in
> the equal to operator. (402) (SQLExecDirectW)') 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] = ? AND
> [COLUMNS_1].[TABLE_SCHEMA] = ? ORDER BY [COLUMNS_1].[ORDINAL_POSITION]'
> (u'valid_species', u'dbo')
>
> R. Mark Sharp, Ph.D.
> [email protected] <javascript:>
>
>
>
>
>
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