@Ahad Anjum It seems you’re encountering a common issue with SQL Server connections in Azure, particularly with the OperationalError
related to login timeouts. This error typically indicates that the connection to the SQL Server is taking too long to establish.
My suggestions to start troubleshooting are:
- Verify the Connection String: Ensure that your connection string is correctly formatted and includes all necessary parameters. For Azure SQL Server, the connection string should specify the SQL driver name and other parameters like
Encrypt
,TrustServerCertificate
, andConnection Timeout
. Here’s an example of how to construct the connection string:import urllib.parse from sqlalchemy import create_engine params = urllib.parse.quote_plus( "Driver={ODBC Driver 17 for SQL Server};" "Server=tcp:your_server_name.database.windows.net,1433;" "Database=your_db_name;" "Uid=your_username;" "Pwd=your_password;" "Encrypt=yes;" "TrustServerCertificate=no;" "Connection Timeout=30;" ) connection_string = f"mssql+pyodbc:///?odbc_connect={params}" engine = create_engine(connection_string)
- Increase Connection Timeout: The default connection timeout might be too short for your application, especially if it’s performing complex operations or dealing with large data. Try increasing the
Connection Timeout
parameter in your connection string. - Check Network Security: Since you mentioned using VNet integration, ensure that the network security rules allow traffic between your web app and the SQL Server. The SQL Server should be accessible from the subnet that’s integrated with your app.
- SQL Server Configuration: Verify that the SQL Server is running and configured to accept connections. Check the SQL Server logs for any errors or warnings that might indicate a problem.
Remember to replace placeholder values like your_server_name
, your_db_name
, your_username
, and your_password
with your actual Azure SQL Server details. Also, ensure that sensitive information such as passwords is securely managed and not hardcoded in your application code.
If you continue to experience issues, it might be helpful to create a minimal, reproducible example and seek further assistance from the community or Azure support. Keep in mind that intermittent issues can be particularly challenging to diagnose, so gathering as much information as possible will be key to finding a solution.