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How To Fix USMD2358 - Reducing scope for change request type &2 may lead to corrupt data


SAP Error Message - Details

  • Message type: E = Error

  • Message class: USMD2 - Master Data: UI Modeling

  • Message number: 358

  • Message text: Reducing scope for change request type &2 may lead to corrupt data

  • Show details Hide details
  • What causes this issue?

    You have deleted the entity type &V1& from the scope of the change
    request type &V2&.

    System Response

    If there are no change requests of this change request type in process
    in the MDG system landscape, the entity type can be removed from the
    scope without negative impact.
    If this entity type &V1& is used in change requests of change request
    type &V2& that are in process, all of these change requests will be
    corrupt.

    How to fix this error?

    If any change requests of this change request type are in process, do
    not make any other changes to the entity type scope of that change
    request type.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message USMD2358 - Reducing scope for change request type &2 may lead to corrupt data ?

    The SAP error message USMD2358 indicates a potential issue when reducing the scope of a change request type in the SAP Master Data Governance (MDG) environment. This error is a warning that suggests that reducing the scope may lead to data inconsistencies or corruption. Here’s a breakdown of the cause, potential solutions, and related information:

    Cause:

    1. Scope Reduction: The error typically occurs when you attempt to reduce the scope of a change request type that has already been processed or has existing data associated with it. This can lead to inconsistencies because the system may not be able to reconcile the changes with the existing data.
    2. Data Integrity: The system is designed to maintain data integrity, and reducing the scope may violate the rules or constraints that ensure the data remains consistent and valid.
    3. Dependencies: There may be dependencies between the fields or entities that are being modified, and reducing the scope could disrupt these relationships.

    Solution:

    1. Review Change Request: Before reducing the scope, carefully review the change request and understand the implications of the changes. Ensure that the fields or entities you are removing are not critical to the integrity of the data.
    2. Backup Data: Always back up your data before making significant changes. This allows you to restore the previous state if something goes wrong.
    3. Test in Development: If possible, replicate the scenario in a development or test environment to see the effects of reducing the scope. This can help identify potential issues before they affect production data.
    4. Consult Documentation: Refer to SAP documentation or notes related to the specific version of MDG you are using. There may be specific guidelines or best practices for handling scope changes.
    5. Seek Expert Advice: If you are unsure about the implications of reducing the scope, consult with an SAP MDG expert or your SAP support team. They can provide insights based on your specific configuration and data model.
    6. Use Alternative Approaches: If reducing the scope is necessary, consider alternative approaches such as creating a new change request type or modifying the existing one without reducing the scope.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address this specific error message or provide additional context on handling scope changes in MDG.
    • MDG Configuration: Familiarize yourself with the configuration settings in MDG that pertain to change request types and data modeling. Understanding these settings can help you make informed decisions about scope changes.
    • Data Governance Best Practices: Implement best practices for data governance to minimize the risk of data corruption. This includes regular audits, validation checks, and maintaining clear documentation of data changes.

    By following these guidelines, you can mitigate the risks associated with reducing the scope of change request types in SAP MDG and maintain data integrity.

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