How To Fix RSODSO_UPDATE019 - Duplicate data record detected (DS &4, data package: &2, data record: &3)


RSODSO_UPDATE019 - Overview

  • Message type: E = Error

  • Message class: RSODSO_UPDATE - Messages for loading DataStore objects

  • Message number: 019

  • Message text: Duplicate data record detected (DS &4, data package: &2, data record: &3)

  • Show details Hide details
  • What causes this issue?

    During loading, there was a key violation. You tried to save more than
    one data record with the same semantic key.
    The problematic (newly loaded) data record has the following properties:
    <ZH>DataStore object: &v4&</>
    <ZH>Request:</> &v1&
    <ZH>Data package:</> &v2&
    <ZH>Data record number:</> &v3&

    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?

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


RSODSO_UPDATE019 - Details

  • The SAP error message RSODSO_UPDATE019 indicates that a duplicate data record has been detected during the update process of a DataStore Object (DSO). This error typically occurs when the system attempts to load data that contains records with the same key fields, which violates the uniqueness constraint of the DSO.
    
    Cause: Duplicate Records in Source Data: The source data being loaded into the DSO contains duplicate records based on the key fields defined in the DSO. Incorrect Data Transformation: During the ETL (Extract, Transform, Load) process, data transformations may inadvertently create duplicates. Data Load Process Issues: If the data load process is not properly managed, it may lead to the same records being loaded multiple times.
    Solution: Identify Duplicate Records: Check the source data for duplicates before loading it into the DSO. You can use SQL queries or data profiling tools to identify duplicates based on the key fields. Remove Duplicates: Clean the source data by removing or aggregating

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