How To Fix /SAPAPO/OM_PERF_MSG308 - Normal objects: Dereference (using mass-op) against liveCache base


/SAPAPO/OM_PERF_MSG308 - Overview

  • Message type: E = Error

  • Message class: /SAPAPO/OM_PERF_MSG -

  • Message number: 308

  • Message text: Normal objects: Dereference (using mass-op) against liveCache base

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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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/OM_PERF_MSG308 - Normal objects: Dereference (using mass-op) against liveCache base ?
    The SAP error message /SAPAPO/OM_PERF_MSG308 typically indicates an issue related to performance when executing mass operations against the liveCache in SAP Advanced Planning and Optimization (APO). This error can occur when the system is trying to dereference normal objects (like planning objects) in a way that is not optimal, leading to performance degradation.
    
    Cause: Performance Bottlenecks: The error often arises when the system is overloaded or when there are too many objects being processed simultaneously, leading to performance issues.
    Configuration Issues: Incorrect configuration of the liveCache or APO settings can lead to inefficient processing of mass operations. Data Volume: Large volumes of data being processed in a single operation can overwhelm the system. Inefficient Queries: The way queries are structured or how data is accessed can lead to performance issues.
    Solution: Optimize Mass Operations: Instead of processing a large number of objects in a single mass operation, try breaking them down into smaller batches. This can help

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