pyodbc

I'm trying to process a very large query with pyodbc and I need to iterate over the rows without loading them all at once with fetchall(). Is there a good and principled way to do this? Sure - use a while loop with fetchone . http://code.google.com/p/pyodbc/wiki/Cursor#fetchone row = cursor.fetchone() while row is not None: # do something row = cursor.fetchone() you could also use cursor.fetchmany() if you want to batch up the fetches (defaults to 1 if you don't override it) http://code.google.com/p/pyodbc/wiki/Cursor#fetchmany 来源： https://stackoverflow.com/questions/17707264/iterating-over

I'm trying to connect to SQL server 2000 installed on Windows server 2003 from Windows Server 2008 R2 using Python 3.4 and pyodbc module. Those servers are in different AD domains. Windows only authentication is enabled on SQL server and I can't change that. drv = '{SQL server}' svr = 'sql.my-domain.local' usr = 'my-domain.local\testuser' pwd = 'password' db = 'testdb' pyodbc.connect(driver=drv, server=svr, user=usr, password=pwd, database=db) The connection above fails with the following error: pyodbc.Error: ('28000', "[28000] [Microsoft][ODBC SQL Server Driver][SQLServer] Login failed for

I am attempting to write a Python script that can take Excel sheets and import them into my SQL Server Express (with Windows Authentication) database as tables. To do this, I am using pandas to read the Excel files into a pandas DataFrame , I then hope to use pandas.to_sql() to import the data into my database. To use this function, however, I need to use sqlalchemy.create_engine() . I am able to connect to my database using pyodbc alone, and run test queries. This conection is done with the followng code: def create_connection(server_name, database_name): config = dict(server=server_name,

I am using following code to connect with SQL 2008 R2: cnxnStoneedge = pyodbc.connect("DRIVER={SQL Server};SERVER=127.0.0.1;DATABASE=myDB;UID=admin;PWD=admin") Which gives error: Error: ('08001', '[08001] [Microsoft][ODBC SQL Server Driver][DBNETLIB]SQL Server does not exist or access denied. (17) (SQLDriverConnect)') args = ('08001', '[08001] [Microsoft][ODBC SQL Server Driver][DBNE...t exist or access denied. (17) (SQLDriverConnect)') with_traceback = <built-in method with_traceback of Error object> I am not sure whether SQL connecting via named Pipes or TCP, I did enable IP Address.

The problem... I am trying to connect to a MSSql server via SQLAlchemy. Here is my code with fake credentials ( not my real credentials obviously ). The code... credentials = { 'username' : 'SPOTTER_xyz_ACC', 'password' : '123Goodbye2016!@#', 'host' : 'MARYLQLT01', 'database' : 'LRS_DUS', 'port' : '1560'} connect_url = sqlalchemy.engine.url.URL( 'mssql+pyodbc', username=credentials['username'], password=credentials['password'], host=credentials['host'], port=credentials['port'], query=dict(service_name=credentials['database'])) engine = create_engine(connect_url) connection=engine.connect()

pyodbc is a very nice thing, but the Windows installers only work with their very specific python version. With the release of Python 3.4, the only available installers just stop once they don't see 3.3 in the registry (though 3.4 is certainly there). Copying the .pyd and .egg-info files from a 3.3 installation into the 3.4 site-packages directory doesn't seem to do the trick. When importing pyodbc, an ImportError is thrown: ImportError: DLL load failed: %1 is not a valid Win32 application. Is there a secret sauce that can be added to make the 3.3 file work correctly? Or do we just need to