How to Report Connector/ODBC Problems or Bugs

If you encounter difficulties or problems with Connector/ODBC, you should start by making a log file from the ODBC Manager (the log you get when requesting logs from ODBC ADMIN) and Connector/ODBC. The procedure for doing this is described in Section, “Getting an ODBC Trace File”.

Check the Connector/ODBC trace file to find out what could be wrong. You should be able to determine what statements were issued by searching for the string >mysql_real_query in the myodbc.log file.

You should also try issuing the statements from the mysql client program or from admndemo. This helps you determine whether the error is in Connector/ODBC or MySQL.

If you find out something is wrong, please only send the relevant rows (maximum 40 rows) to the myodbc mailing list. See Section 1.6.1, “MySQL Mailing Lists”. Please never send the whole Connector/ODBC or ODBC log file!

You should ideally include the following information with the email:

  • Operating system and version

  • Connector/ODBC version

  • ODBC Driver Manager type and version

  • MySQL server version

  • ODBC trace from Driver Manager

  • Connector/ODBC log file from Connector/ODBC driver

  • Simple reproducible sample

Remember that the more information you can supply to us, the more likely it is that we can fix the problem!

Also, before posting the bug, check the MyODBC mailing list archive at http://lists.mysql.com/myodbc.

If you are unable to find out what is wrong, the last option is to create an archive in tar or Zip format that contains a Connector/ODBC trace file, the ODBC log file, and a README file that explains the problem. You can send this to ftp://ftp.mysql.com/pub/mysql/upload/. Only MySQL engineers have access to the files you upload, and we are very discreet with the data.

If you can create a program that also demonstrates the problem, please include it in the archive as well.

If the program works with another SQL server, you should include an ODBC log file where you perform exactly the same SQL statements so that we can compare the results between the two systems.

Remember that the more information you can supply to us, the more likely it is that we can fix the problem.

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