How To Fix SCDT_MPNG1011 - Source table &1: Possible data loss in redistribution


SCDT_MPNG1011 - Overview

  • Message type: E = Error

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

  • Message number: 011

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

  • Show details Hide details
  • What causes this issue?

    In the source table &V1&, the field &V3& is longer in the target than in
    the source system.

    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 redistribution, it will
    truncate the contents of the field. Ensure that this will not cause
    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_MPNG1011 - Source table &1: Possible data loss in redistribution ?
    The SAP error message SCDT_MPNG1011 indicates that there is a potential data loss during the redistribution process of a source table. This typically occurs in the context of SAP Data Transfer processes, particularly when dealing with data distribution in SAP systems, such as SAP BW (Business Warehouse) or SAP HANA.
    
    Cause: The error message SCDT_MPNG1011 can be triggered by several factors, including: Data Inconsistency: There may be inconsistencies in the data being processed, which can lead to issues during redistribution. Data Type Mismatch: If the data types in the source table do not match the expected types in the target table, it can cause problems. Missing Data: If certain records or fields are missing in the source data, it can lead to incomplete redistribution.
    Configuration Issues: Incorrect configuration settings in the data transfer process can also lead to this error. Data Volume: Large volumes of data being processed at once can sometimes lead to performance issues, resulting

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