@Marvin I am using the prefect-sqlalchemy package to connect to and query Sql Server. I get a valid connection. Any query I run using fetch_all returns no data. Why is that?

It appears there are currently no open GitHub issues regarding

fetch_all

returning no data with the

prefect-sqlalchemy

package. In general, the issue with

fetch_all

not returning data could be caused by a number of possibilities: 1. The query may not be matching any data, for example, due to a where clause filtering out all rows. 2. There could be a transaction isolation issue where the data is not visible to the connection at the time

fetch_all

was called. 3. The connection may be closed or not properly established before executing

fetch_all

. 4. It's possible there might be a bug or limitation in the version of the

prefect-sqlalchemy

package you are using. To debug this, you could: - Ensure that the query works directly against Sql Server using another tool like SSMS or a different SQL client. - Check that there are no transaction isolation issues, and that the data committed in other sessions is visible to your session. - Double-check that the connection is properly managed (opened before the query and closed after the query). - Look for any error messages or exceptions in your logs that might indicate what the problem is. - Verify you are using a compatible version of the package with your current Prefect setup. Since there's no specific known issue, if you believe you have encountered a bug with the package, you might consider reporting it to the Prefect community or GitHub repository for further assistance.

@Marvin are there any issues open (not just in Prefect, but anywhere) related to the following error:

sqlalchemy.exc.DBAPIError: (pyodbc.Error) ('HY010', '[HY010] [Microsoft][ODBC Driver 17 for SQL Server]Function sequence error (0) (SQLFetch)')

There don't seem to be any open issues related to the

sqlalchemy.exc.DBAPIError: (pyodbc.Error) ('HY010',...)

error on GitHub at the moment. This error, with the message

Function sequence error

, is usually tied to issues with the underlying ODBC driver and its interaction with the database. The

HY010

error code indicates that the sequence of API calls made to ODBC is incorrect. This could happen for several reasons: 1. There might be a mismatch between the version of the ODBC driver and the database server. 2. It's possible that there's an error in the way the ODBC driver is being used by sqlalchemy (or pyodbc, which sqlalchemy often uses to interface with ODBC drivers). 3. External factors like database permissions, network issues, or database configuration problems might be causing the driver to behave unexpectedly. To address this error, you might try the following steps: - Make sure you are using the correct version of the ODBC driver for your SQL Server version. - Update both the ODBC driver and sqlalchemy to the latest versions if they are not up to date. - Check your connection string and parameters to ensure they are correct and the correct sequence of operations is being followed. - Review the code to ensure that the connection and cursor are being managed properly – the error suggests there may be a problem with the order of operations (e.g., fetching results before executing a query). If you cannot resolve the issue with these steps, consider seeking help from the sqlalchemy mailing list or issue tracker, or the pyodbc GitHub repository, where you can provide specific details about your configuration and the problem you are encountering.

@Marvin Can you look at this SO post and see if there is any additional info there? https://stackoverflow.com/questions/25769043/function-sequence-error-in-pyodbc

I'm unable to directly access content from external websites like Stack Overflow. However, I can provide some advice on how to look for relevant information on that SO post related to your error. Here's what you can do: 1. Read the Accepted Answer: The accepted answer on a Stack Overflow post often provides a solution or a workaround that has worked for the original poster. 2. Check Additional Answers: Sometimes, other answers might provide alternative solutions or important context to the problem. 3. Look at the Comments: Helpful details or clarifications can sometimes be found in the comments on the answers or the question itself. 4. Consider the Dates: Check the dates associated with the answers and comments to ensure the information is up to date. 5. Votes and Reputation: Consider the upvotes and reputation of contributors as they can often indicate the community's trust in the provided solutions. 6. Test the Solutions: If there are code snippets or suggested fixes, you can try to implement them in your environment to see if they resolve your issue. You should keep in mind that the context of the error in the Stack Overflow post might be different from yours, so you'll have to use the information with a consideration of how it applies to your specific situation. If you do test out solutions from the SO post, remember to backup your setup to avoid unintended consequences. If you're unsure or need further assistance, perhaps discussing the issue with a colleague or seeking out an expert in database connectivity could provide additional insights.