How To Fix CFD_RECOVERY008 - Recovery failed: Fieldname &1 is invalid


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CFD_RECOVERY - Custom Fields: Recovery

  • Message number: 008

  • Message text: Recovery failed: Fieldname &1 is invalid

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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.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message CFD_RECOVERY008 - Recovery failed: Fieldname &1 is invalid ?

    The SAP error message CFD_RECOVERY008, which states "Recovery failed: Fieldname &1 is invalid," typically occurs in the context of data recovery or data processing within SAP systems. This error indicates that the system encountered an invalid field name during a recovery operation, which could be due to various reasons.

    Causes:

    1. Invalid Field Name: The field name specified in the error message does not exist in the database or is misspelled.
    2. Data Model Changes: Changes in the data model (e.g., fields being added, renamed, or deleted) that are not reflected in the recovery process.
    3. Configuration Issues: Incorrect configuration settings in the system that lead to the system looking for a field that is not available.
    4. Corrupted Data: Corruption in the data or metadata that leads to the system being unable to recognize the field.
    5. Version Mismatch: The version of the software or the database schema may not match the expected version, leading to discrepancies in field names.

    Solutions:

    1. Check Field Name: Verify the field name mentioned in the error message. Ensure that it is spelled correctly and exists in the relevant database table or structure.
    2. Review Data Model Changes: If there have been recent changes to the data model, ensure that all related processes and configurations are updated accordingly.
    3. Configuration Review: Check the configuration settings in the relevant modules to ensure that they are set up correctly and that all necessary fields are defined.
    4. Data Consistency Check: Run consistency checks on the database to identify and rectify any corruption or inconsistencies in the data.
    5. Consult Documentation: Refer to SAP documentation or notes related to the specific module or process you are working with to see if there are any known issues or patches available.
    6. System Logs: Check system logs for additional error messages or warnings that may provide more context about the issue.
    7. Contact SAP Support: If the issue persists and cannot be resolved through the above steps, consider reaching out to SAP support for further assistance.

    Related Information:

    • SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may address this specific error or provide guidance on similar issues.
    • Transaction Codes: Familiarize yourself with transaction codes related to data recovery and data model management, such as SE11 (Data Dictionary) and SE37 (Function Modules).
    • Testing Environment: If possible, replicate the issue in a testing environment to troubleshoot without affecting production data.

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

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