pyodbc

There are a lot of tips online on how to use pyodbc to run a query in MS Access 2007, but all those queries are coded in the Python script itself. I would like to use pyodbc to call the queries already saved in MS Access. How can I do that? If the saved query in Access is a simple SELECT query with no parameters then the Access ODBC driver exposes it as a View so all you need to do is use the query name just like it was a table: import pyodbc connStr = ( r"Driver={Microsoft Access Driver (*.mdb, *.accdb)};" r"DBQ=C:\Users\Public\Database1.accdb;" ) cnxn = pyodbc.connect(connStr) sql = """\

I have a python webapp in Azure which I would like to read from an SQLServer also in Azure in the same resource group. Following this example Connecting to Microsoft SQL server using Python , I have added pyodbc to my requirements.txt, the deployment to Azure fails complaining that it doesn't have the correct version of C++ redistributable (9.0) available. Is there anything that can be done about this, or is a different architecture required (and if so, which?)? I tried to access Azure SQL Database in my flask web app. You could refer to my working code. view.py from datetime import datetime

I can't figure out what's wrong with the following code, The syntax IS ok (checked with SQL Management Studio), i have access as i should so that works too.. but for some reason as soon as i try to create a table via PyODBC then it stops working. import pyodbc def SQL(QUERY, target = '...', DB = '...'): cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=' + target + DB+';UID=user;PWD=pass') cursor = cnxn.cursor() cursor.execute(QUERY) cpn = [] for row in cursor: cpn.append(row) return cpn print SQL("CREATE TABLE dbo.Approvals (ID SMALLINT NOT NULL IDENTITY PRIMARY KEY, HostName char(120));") It

I am using Ubuntu 9.04 I have installed the following package versions: unixodbc and unixodbc-dev: 2.2.11-16build3 tdsodbc: 0.82-4 libsybdb5: 0.82-4 freetds-common and freetds-dev: 0.82-4 I have configured /etc/unixodbc.ini like this: [FreeTDS] Description = TDS driver (Sybase/MS SQL) Driver = /usr/lib/odbc/libtdsodbc.so Setup = /usr/lib/odbc/libtdsS.so CPTimeout = CPReuse = UsageCount = 2 I have configured /etc/freetds/freetds.conf like this: [global] tds version = 8.0 client charset = UTF-8 I have grabbed pyodbc revision 31e2fae4adbf1b2af1726e5668a3414cf46b454f from http://github.com

When I try to connect to a sql server database with pyodbc (on mac): import pyodbc server = '####' database = '####' username = '####@####' password = '#####' driver='{ODBC Driver 13 for SQL Server}' pyodbc.connect('DRIVER='+driver+';SERVER='+server+';PORT=1443;DATABASE='+database+';UID='+username+';PWD='+password) I get the following error: Error: ('01000', "[01000] [unixODBC][Driver Manager]Can't open lib 'ODBC Driver 13 for SQL Server' : file not found (0) (SQLDriverConnect)") When I path in the actual driver location: driver='/usr/local/lib/libmsodbcsql.13.dylib' It starts working! My

Hi I am trying to write a csv file into a table in SQL Server database using python. I am facing errors when I pass the parameters , but I don't face any error when I do it manually. Here is the code I am executing. cur=cnxn.cursor() # Get the cursor csv_data = csv.reader(file(Samplefile.csv')) # Read the csv for rows in csv_data: # Iterate through csv cur.execute("INSERT INTO MyTable(Col1,Col2,Col3,Col4) VALUES (?,?,?,?)",rows) cnxn.commit() Error :pyodbc.DataError: ('22001', '[22001] [Microsoft][ODBC SQL Server Driver][SQL Server]String or binary data would be truncated. (8152)

What's a good way to interface Python running on OS X with a cloud-based SQL Server database? EDIT: With pyodbc I'm getting this error: >>> import pyodbc >>> cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=adsf.com;DATABASE=asdf;UID=asdf;PWD=asdf') Traceback (most recent call last): File "<stdin>", line 1, in <module> pyodbc.Error: ('00000', '[00000] [iODBC][Driver Manager]dlopen({SQL Server}, 6): image not found (0) (SQLDriverConnect)') SQLAlchemy is probably your best bet. It has an ORM, but doesn't require its use. MS SQL is supported through a number of DBAPI projects. As for lower-level