How To Fix EDEREG_INV165 - Extract to be imported (&1) has different values to started extract


EDEREG_INV165 - Overview

  • Message type: E = Error

  • Message class: EDEREG_INV - Error Messages for Payment Management in a Deregulated Env.

  • Message number: 165

  • Message text: Extract to be imported (&1) has different values to started extract

  • Show details Hide details
  • What causes this issue?

    The newly adopted extract with the ID &V1& differs from the extract data
    already imported at least in terms of the information "From date", "To
    date", "Company code" or "Source system" and therefore does not match
    the existing data. The data is inconsistent and cannot be imported.

    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?

    Establish the cause. In at least one of the fields mentioned, the
    extract header contents of the file which to be imported differ from the
    contents of the table TINV_EXTR_HEADER. It is possible that the data is
    inconsistent and must be repaired.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


EDEREG_INV165 - Details

  • The SAP error message EDEREG_INV165 indicates that there is a mismatch between the values in the extract that you are trying to import and the values in the extract that has already been started. This typically occurs in the context of data extraction processes, such as those involving SAP Data Services or SAP BW (Business Warehouse).
    
    Cause: Data Mismatch: The extract you are trying to import has different values or records compared to the extract that was previously started. This could be due to changes in the source data after the initial extraction was initiated. Concurrent Processing: If multiple processes are trying to extract or load data simultaneously, it can lead to inconsistencies.
    Configuration Issues: Incorrect configuration settings in the data extraction process can lead to mismatches. Data Source Changes: Changes in the underlying data source (like updates, deletions, or insertions) after the initial extraction can cause this error.
    Solution: Check Data Consistency: Verify the data in

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