How To Fix /INCMD/MSG370 - Duplicate data maintained in GROUP_ITEM_DATA interface


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /INCMD/MSG -

  • Message number: 370

  • Message text: Duplicate data maintained in GROUP_ITEM_DATA interface

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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 /INCMD/MSG370 - Duplicate data maintained in GROUP_ITEM_DATA interface ?
    The SAP error message /INCMD/MSG370 Duplicate data maintained in GROUP_ITEM_DATA interface typically indicates that there are duplicate entries in the data being processed by the GROUP_ITEM_DATA interface. This can occur in various scenarios, such as when importing data, processing batch jobs, or during data migration.
    
    Cause: Duplicate Entries: The most common cause is that the data being sent to the GROUP_ITEM_DATA interface contains duplicate records. This could be due to: Incorrect data preparation or extraction processes. Data being pulled from multiple sources without proper deduplication. Manual data entry errors.
    Configuration Issues: Sometimes, the configuration of the interface or the underlying data model may not be set up to handle duplicates properly. Data Integrity Violations: The system may have constraints that prevent duplicate entries, and the incoming data violates these constraints.
    Solution: Identify Duplicates: Review the data being sent to the GROUP_ITEM_DATA interface. You can use tools like Excel or SQL queries to identify duplicate records based on key fields. Check

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