Python - Pyodbc Says 'record Inserted', But SSMS Says No Record Inserted

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**Python - pyodbc says 'record inserted', but SSMS says no record inserted** ===========================================================

Introduction

When working with databases using Python and the pyodbc library, it's not uncommon to encounter issues where the library reports a successful insertion of a record, but the SQL Server Management Studio (SSMS) shows that no record was inserted. This can be frustrating, especially when you're trying to troubleshoot the issue. In this article, we'll explore the possible reasons behind this discrepancy and provide some solutions to help you resolve the issue.

Q: What are the possible reasons behind pyodbc saying 'record inserted' but SSMS saying no record inserted?

A: There are several possible reasons behind this discrepancy. Here are a few:

  • Connection issues: The connection to the database might be failing, causing pyodbc to report a successful insertion, but the record is not actually being inserted.
  • Transaction issues: The transaction might be rolling back, causing the record to be deleted, but pyodbc is not aware of this.
  • Auto-commit issues: The auto-commit mode might be enabled, causing the record to be inserted, but the changes are not being committed to the database.
  • Error handling issues: The error handling mechanism might be failing, causing pyodbc to report a successful insertion, but the record is not actually being inserted.

Q: How can I troubleshoot the issue?

A: To troubleshoot the issue, you can try the following:

  • Check the connection: Make sure that the connection to the database is successful. You can do this by checking the connection string and the server name.
  • Check the transaction: Make sure that the transaction is not rolling back. You can do this by checking the transaction status and the rollback status.
  • Check the auto-commit mode: Make sure that the auto-commit mode is disabled. You can do this by checking the auto-commit status.
  • Check the error handling mechanism: Make sure that the error handling mechanism is working correctly. You can do this by checking the error messages and the exception handling.

Q: How can I resolve the issue?

A: To resolve the issue, you can try the following:

  • Disable auto-commit mode: Disable the auto-commit mode to ensure that the changes are committed to the database.
  • Use transactions: Use transactions to ensure that the changes are committed to the database.
  • Check the error handling mechanism: Check the error handling mechanism to ensure that it is working correctly.
  • Check the connection: Check the connection to the database to ensure that it is successful.

Q: What are some common mistakes that can cause this issue?

A: Some common mistakes that can cause this issue include:

  • Using the wrong connection string: Using the wrong connection string can cause the connection to fail, leading to the issue.
  • Not disabling auto-commit mode: Not disabling auto-commit mode can cause the changes to be committed to the database, but the record is not actually being inserted.
  • Not using transactions: Not using transactions can cause the changes to be committed to the database, but the record is not actually being inserted.
  • Not checking the error handling mechanism: Not checking the error handling mechanism can cause the issue to go undetected.

Q: How can I prevent this issue from occurring in the future?

A: To prevent this issue from occurring in the future, you can try the following:

  • Use a consistent connection string: Use a consistent connection string to ensure that the connection is successful.
  • Disable auto-commit mode: Disable auto-commit mode to ensure that the changes are committed to the database.
  • Use transactions: Use transactions to ensure that the changes are committed to the database.
  • Check the error handling mechanism: Check the error handling mechanism to ensure that it is working correctly.

Conclusion

In conclusion, the issue of pyodbc saying 'record inserted' but SSMS saying no record inserted can be caused by several factors, including connection issues, transaction issues, auto-commit issues, and error handling issues. To troubleshoot and resolve the issue, you can try disabling auto-commit mode, using transactions, checking the error handling mechanism, and checking the connection. By following these steps, you can prevent this issue from occurring in the future.

Code Example

Here is an example of how you can use pyodbc to insert a record into a database:

import pyodbc

conn = pyodbc.connect("Driver={SQL Server Native Client 11.0};" +
"Server=DESKTOP-NLPIRC6\MSSQLSERVER02;" +
"Database=mydatabase;" +
"UID=myusername;" +
"PWD=mypassword")



cursor = conn.cursor()



cursor.execute("INSERT INTO mytable (column1, column2) VALUES ('value1', 'value2')")



conn.commit()



cursor.close()
conn.close()

Note that in this example, we are disabling auto-commit mode by calling conn.commit() explicitly. This ensures that the changes are committed to the database.