How To Fix RSM2724 - Record filtered because records with the same key contain errors


RSM2724 - Overview

  • Message type: E = Error

  • Message class: RSM2 - Monitor assistant help texts

  • Message number: 724

  • Message text: Record filtered because records with the same key contain errors

  • Show details Hide details
  • What causes this issue?

    The data record was filtered out because data records with the same key
    have already been filtered out in the current step for other reasons and
    the current update is non-commutative (for example, MOVE). This means
    that data records cannot be exchanged on the basis of the semantic key.

    System Response

    The data record is filtered out; further processing is performed in
    accordance with the settings chosen for error handling.

    How to fix this error?

    Check these data records and data records with the same key for errors
    and then update them.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RSM2724 - Record filtered because records with the same key contain errors ?
    The SAP error message RSM2724 indicates that a record has been filtered out during a data processing operation because there are other records with the same key that contain errors. This typically occurs in the context of data extraction, transformation, or loading (ETL) processes, particularly when dealing with data in SAP BW (Business Warehouse) or similar systems.
    
    Cause: Duplicate Keys: The error arises when there are multiple records with the same key in the data set, and at least one of those records has an error (e.g., invalid data, missing mandatory fields). Data Quality Issues: The records may have inconsistencies or errors that prevent them from being processed correctly. Transformation Rules: If there are specific transformation rules applied to the data, they may be causing some records to fail validation while others pass.
    Solution: Identify the Problematic Records: Use transaction codes like RSA1 (Data Warehousing Workbench) or RSMO (Monitor Data Load) to analyze the data load process

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