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How To Fix FKK_ML_SRV114 - Trigger training: Job has not persisted with the data extraction.


FKK_ML_SRV114 - Overview

  • Message type: E = Error

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

  • Message number: 114

  • Message text: Trigger training: Job has not persisted with the data extraction.

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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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FKK_ML_SRV114 - Details

  • The SAP error message FKK_ML_SRV114 typically indicates an issue related to the data extraction process in the context of the SAP Convergent Charging (SAP CC) or SAP Convergent Invoicing (SAP CI) modules. This error suggests that a job related to data extraction has not been persisted, which can lead to issues in processing or reporting.
    Causes:
    
    Job 
    Configuration Issues: The job responsible for data extraction may not be configured correctly, leading to failures in persisting the data. System Performance: If the system is under heavy load or if there are performance issues, the job may time out or fail to complete. Data Consistency Issues: There may be inconsistencies in the data that prevent the job from completing successfully. Authorization Issues: The user executing the job may not have the necessary authorizations to perform the data extraction. Technical Errors: There could be underlying technical issues, such as database connectivity problems or issues with the job scheduler. Solutions: Check Job

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