How To Fix EDEREG051 - Very long run times may occur when generating point of delivery groups


EDEREG051 - Overview

  • Message type: E = Error

  • Message class: EDEREG - Messages for Deregulation Scenarios

  • Message number: 051

  • Message text: Very long run times may occur when generating point of delivery groups

  • Show details Hide details
  • What causes this issue?

    Generating point of delivery groups can take a long time.
    The system selects all points of delivery and checks their allocation to
    a <DS:DE.E_DEREGPODGROUP>point of delivery group</>.

    System Response

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    How to fix this error?

    Only execute generation once you have defined the point of delivery
    groups.

    Procedure for System Administrators

    Use BAdI <ZH>ISU_IDE_UI_PODGROUP</> to define the allocation logic.
    Execute generation at times when the system is not busy.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message EDEREG051 - Very long run times may occur when generating point of delivery groups ?
    The SAP error message EDEREG051 indicates that there may be performance issues when generating point of delivery (POD) groups, which can lead to very long run times. This message typically arises in the context of the SAP IS-U (Industry Solution for Utilities) module, particularly when dealing with large datasets or complex configurations.
    
    Cause: Large Data Volume: The generation of POD groups may involve processing a significant amount of data, which can lead to long processing times. Complex Configurations: If the POD groups are configured with complex rules or if there are many conditions to evaluate, this can slow down the processing. System Performance: The overall performance of the SAP system, including hardware limitations, database performance, and network issues, can contribute to long run times. Inefficient Queries: Poorly optimized queries or database indexes can lead to delays in data retrieval and processing.
    Solution: Optimize Data Volume: If possible, reduce the amount of data being processed at one time.

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