How To Fix SCDT_MPNG1018 - Source table &1, field &2: Possible data loss in redistribution


SCDT_MPNG1018 - Overview

  • Message type: E = Error

  • Message class: SCDT_MPNG1 - Message Class for the Function Module scdt_mapping_check

  • Message number: 018

  • Message text: Source table &1, field &2: Possible data loss in redistribution

  • Show details Hide details
  • What causes this issue?

    The field &V2& in the source table &V1& is shorter than the associated
    target field &V3&.
    If you also use the synchronization object for the redistribution, it
    will truncate the contents of the field &V3& to the length of the field
    &V2&.

    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?

    If you also use the synchronization object for the redistribution,
    ensure that truncating it will not cause any problems (e.g. in text
    fields).

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message SCDT_MPNG1018 - Source table &1, field &2: Possible data loss in redistribution ?
    The SAP error message SCDT_MPNG1018 indicates a potential data loss issue during the redistribution process of data from a source table. This typically occurs in the context of SAP Data Transfer processes, such as when using the SAP Data Services or SAP BW (Business Warehouse) systems.
    
    Cause: The error message SCDT_MPNG1018 is triggered when there is a mismatch between the data types or lengths of the source table field and the target table field during a redistribution operation. This can happen due to: Data Type Mismatch: The source field may have a larger data type or length than the target field, leading to potential truncation of data. Incompatible Data Formats: If the source data format does not match the expected format in the target, it can lead to data loss. Transformation Rules: If there are transformation rules applied that do not account for all possible values or formats of the source data, it can lead

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