How To Fix FARR_RAI152 - Data exists in a productive client, database tables are not deleted


SAP Error Message - Details

  • Message type: E = Error

  • Message class: FARR_RAI - Revenue Accounting Item

  • Message number: 152

  • Message text: Data exists in a productive client, database tables are not deleted

  • Show details Hide details
  • What causes this issue?

    There are revenue accounting items of this revenue accounting item class
    in a client which system status is set to productive.
    To prevent the loss of productive data, the database tables of the
    respective revenue accounting item class are not deleted during the
    generation of the revenue accounting item class. The database tables may
    nevertheless be changed (for example when a new field is added).

    System Response

    The generation takes place keeping existing data.

    How to fix this error?

    Check if the data of the respective client may be deleted. If so,
    delete the data either by removing the database table manually or by
    removing the data that is contained in the database tables.

    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 FARR_RAI152 - Data exists in a productive client, database tables are not deleted ?

    The SAP error message FARR_RAI152 indicates that there is data present in a productive client, and as a result, the database tables cannot be deleted. This error typically arises in the context of the Asset Accounting (FI-AA) module when attempting to perform certain operations that require the deletion of data or tables that are still in use.

    Cause:

    1. Existing Data: The primary cause of this error is that there are existing records in the relevant database tables that prevent deletion. This could be due to:

      • Active asset records.
      • Open transactions or postings related to assets.
      • Configuration settings that restrict deletion in a productive environment.
    2. Client Settings: The system may be configured to prevent deletion of data in productive clients to ensure data integrity and compliance with business processes.

    Solution:

    To resolve the FARR_RAI152 error, you can follow these steps:

    1. Check for Existing Data:

      • Use transaction codes like SE16 or SE11 to check the relevant database tables (e.g., ANLA, ANLB, ANLC) for existing records.
      • Identify any active assets or transactions that may be preventing deletion.
    2. Clear or Archive Data:

      • If the data is no longer needed, consider archiving or clearing it. This may involve:
        • Running the archiving programs for Asset Accounting.
        • Deleting or reversing any open transactions related to the assets.
    3. Review Configuration:

      • Check the configuration settings in the Asset Accounting module to ensure that deletion is allowed in the current environment.
      • Consult with your SAP Basis or functional team to understand the implications of changing these settings.
    4. Use a Test Client:

      • If you need to perform testing or development work, consider using a non-productive client (e.g., a development or quality assurance client) where data deletion is permitted.
    5. Consult Documentation:

      • Review SAP documentation or notes related to the error message for any specific guidance or recommendations.
    6. Seek Help from SAP Support:

      • If the issue persists and you cannot identify the cause, consider reaching out to SAP Support for assistance.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as:

      • SE16: Data Browser
      • SE11: Data Dictionary
      • SARA: Archive Administration
      • AO90: Asset Accounting Archive
    • SAP Notes: Search for SAP Notes related to FARR_RAI152 for any patches or updates that may address the issue.

    • Best Practices: Implement best practices for data management in SAP, including regular archiving and data cleanup processes to prevent similar issues in the future.

    By following these steps, you should be able to identify the cause of the error and take appropriate action to resolve it.

    • Do you have any question about this error?


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