How To Fix CNV20551253 - &1 : Check field &2 is not defined


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CNV20551 - message for package 20551 (company code delete)

  • Message number: 253

  • Message text: &1 : Check field &2 is not defined

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message CNV20551253 - &1 : Check field &2 is not defined ?

    The SAP error message CNV20551253 typically indicates that there is an issue with a field that is expected to be defined in the system but is not found. This error often arises during data migration or conversion processes, particularly when using SAP's data migration tools or during system upgrades.

    Cause:

    1. Field Not Defined: The specific field referenced in the error message is not defined in the database or the data structure being used. This could be due to:

      • The field being removed or renamed in a newer version of SAP.
      • The field not being included in the data model for the specific application or module.
      • A mismatch between the source and target systems during data migration.
    2. Configuration Issues: There may be configuration issues in the system that prevent the field from being recognized.

    3. Data Mapping Errors: During data migration, if the mapping of fields from the source to the target system is incorrect, it can lead to this error.

    Solution:

    1. Check Field Definition: Verify that the field mentioned in the error message is defined in the target system. You can do this by:

      • Using transaction codes like SE11 (Data Dictionary) to check if the field exists in the relevant table.
      • Ensuring that the field is part of the data model for the application you are working with.
    2. Review Data Migration Mapping: If you are performing a data migration, review the mapping of fields between the source and target systems. Ensure that all fields are correctly mapped and that there are no discrepancies.

    3. Update Configuration: If the field is supposed to be part of the configuration, ensure that the necessary configuration steps have been completed. This may involve:

      • Adjusting settings in the customizing transactions.
      • Ensuring that all necessary transport requests have been imported.
    4. Consult Documentation: Check SAP notes and documentation related to the specific migration or upgrade process you are undertaking. There may be specific instructions or known issues related to the error.

    5. Contact SAP Support: If the issue persists and you cannot identify the cause, consider reaching out to SAP support for assistance. Provide them with the error message details and any relevant context.

    Related Information:

    • SAP Notes: Look for SAP Notes related to the specific error message or the migration process you are using. These notes often contain fixes or workarounds.
    • Data Migration Tools: Familiarize yourself with the data migration tools provided by SAP, such as the SAP S/4HANA Migration Cockpit or SAP Data Services, as they may have specific guidelines for handling such errors.
    • Testing: Always perform thorough testing in a development or quality assurance environment before executing data migrations in production to catch such errors early.

    By following these steps, you should be able to identify the cause of the error and implement a solution.

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