pyodbc

I have a python script that uses pyodbc to call an MSSQL stored procedure, like so: cursor.execute("exec MyProcedure @param1 = '" + myparam + "'") I call this stored procedure inside a loop, and I notice that sometimes, the procedure gets called again before it was finished executing the last time. I know this because if I add the line time.sleep(1) after the execute line, everything works fine. Is there a more elegant and less time-costly way to say, "sleep until the exec is finished"? Update (Divij's solution): This code is currently not working for me: from tornado import gen import pyodbc

In a python script, I need to run a query on one datasource and insert each row from that query into a table on a different datasource. I'd normally do this with a single insert/select statement with a tsql linked server join but I don't have a linked server connection to this particular datasource. I'm having trouble finding a simple pyodbc example of this. Here's how I'd do it but I'm guessing executing an insert statement inside a loop is pretty slow. result = ds1Cursor.execute(selectSql) for row in result: insertSql = "insert into TableName (Col1, Col2, Col3) values (?, ?, ?)" ds2Cursor

I'm new to the linux world and I want to query a Microsoft SQL Server from Python. I used it on Windows and it was perfectly fine but in Linux it's quite painful. After some hours, I finally succeed to install the Microsoft ODBC driver on Linux Mint with unixODBC. Then, I set up an anaconda with python 3 environment. I then do this : import pyodbc as odbc sql_PIM = odbc.connect("Driver={ODBC Driver 13 for SQL Server};Server=XXX;Database=YYY;Trusted_Connection=Yes") It returns : ('01000', "[01000] [unixODBC][Driver Manager]Can't open lib '/opt/microsoft/msodbcsql/lib64/libmsodbcsql-13.0.so.0.0'

I used pyodbc with python before but now I have installed it on a new machine ( win 8 64 bit, Python 2.7 64 bit, PythonXY with Spyder). Before I used to (at the bottom you can find more real examples): columns = [column[0] for column in cursor.description] temp = cursor.fetchall() data = pandas.DataFrame(temp,columns=columns) and it would work fine. Now it seems like DataFrame is not able to convert from the data fetched from the cursor anymore. It returns: Shape of passed values is (x,y), indices imply (w,z) I kind of see where the issue is. Basically, imagine I fetch only one row. Then