How To Fix >2180 - OI trace: &1 - &2, &3 items, further with &4


>2180 - Overview

  • Message type: E = Error

  • Message class: >2 -

  • Message number: 180

  • Message text: OI trace: &1 - &2, &3 items, further with &4

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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).

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Smart SAP Assistant

  • What is the cause and solution for SAP error message >2180 - OI trace: &1 - &2, &3 items, further with &4 ?
    The SAP error message >2180 OI trace: &1 - &2, &3 items, further with &4 typically relates to issues in the Oil and Gas (O&G) industry module, particularly in the context of operational information (OI) tracing. This message indicates that there is a problem with the processing of operational data, which could be due to various reasons such as data inconsistencies, configuration issues, or system performance problems.
    Possible Causes:
    
    Data Inconsistencies: There may be discrepancies in the data being processed, such as missing or incorrect entries in the operational data records.
    
    Configuration Issues: The system configuration for the Oil and Gas module may not be set up correctly, leading to errors in data processing. Performance Issues: The system may be experiencing performance bottlenecks, causing delays or failures in processing operational information. Missing Authorizations: Users may not have the necessary authorizations to access or process certain operational data. Solutions: Data Validation: Check the operational data for inconsistencies or

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