How To Fix FKK_ML_SRV026 - Number of data records (according to authorization check): &1.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: FKK_ML_SRV - FI-CA Machine Learning (ML)

  • Message number: 026

  • Message text: Number of data records (according to authorization check): &1.

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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 FKK_ML_SRV026 - Number of data records (according to authorization check): &1. ?

    The SAP error message FKK_ML_SRV026 typically relates to issues with the number of data records that are being processed in a financial transaction, particularly in the context of contract accounts or billing. This error is often associated with authorization checks that limit the number of records a user can access or process at one time.

    Cause:

    The error message FKK_ML_SRV026 indicates that the number of data records being processed exceeds the limit set by the authorization check. This can happen in scenarios such as:

    1. Authorization Limits: The user does not have the necessary authorizations to process the number of records being requested.
    2. System Configuration: The system may have been configured to limit the number of records that can be processed in a single transaction for performance or security reasons.
    3. Data Volume: The volume of data being processed may be too high, leading to performance issues or exceeding system limits.

    Solution:

    To resolve the FKK_ML_SRV026 error, consider the following steps:

    1. Check User Authorizations:

      • Verify the user's authorization profile to ensure they have the necessary permissions to access and process the required number of records.
      • If needed, consult with your SAP security team to adjust the authorization settings.
    2. Batch Processing:

      • If the number of records is too high, consider breaking the processing into smaller batches. This can help to stay within the limits set by the authorization checks.
    3. System Configuration:

      • Review the system configuration settings related to data processing limits. This may involve checking transaction codes, user roles, and system parameters that govern data access and processing limits.
    4. Consult Documentation:

      • Refer to SAP documentation or notes related to the specific transaction or module you are working with. There may be specific guidelines or recommendations for handling large volumes of data.
    5. Contact SAP Support:

      • If the issue persists after checking authorizations and configurations, consider reaching out to SAP support for further assistance. They may provide insights or patches that address the issue.

    Related Information:

    • Transaction Codes: Familiarize yourself with the relevant transaction codes that may be involved in the process where the error occurs.
    • SAP Notes: Search for SAP Notes related to FKK_ML_SRV026 for any known issues or fixes.
    • Performance Monitoring: Monitor system performance and data processing to identify any bottlenecks or issues that may contribute to the error.

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

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