How To Fix RSDME523 - Nonnumeric value (&1) assigned to model field &2 for field values


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDME -

  • Message number: 523

  • Message text: Nonnumeric value (&1) assigned to model field &2 for field values

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSDME523 - Nonnumeric value (&1) assigned to model field &2 for field values ?

    The SAP error message RSDME523 indicates that a non-numeric value has been assigned to a model field that is expected to contain numeric data. This error typically occurs in the context of data modeling in SAP BW (Business Warehouse) or SAP HANA, where data types must be consistent with the definitions in the data model.

    Cause:

    1. Data Type Mismatch: The field in question is defined as a numeric type in the data model, but the incoming data contains non-numeric values (e.g., text, special characters).
    2. Data Source Issues: The source of the data may have incorrect or unexpected values that do not conform to the expected numeric format.
    3. Transformation Logic: If there are transformations applied to the data during extraction or loading, they may not be handling the data correctly, leading to non-numeric values being passed to numeric fields.
    4. Manual Data Entry: If data is being manually entered or uploaded, there may be human error leading to the inclusion of non-numeric values.

    Solution:

    1. Data Validation: Check the source data for the field in question and ensure that all values are numeric. You can use tools like SAP Query or SQL queries to identify non-numeric entries.
    2. Data Cleansing: If non-numeric values are found, cleanse the data by either correcting the values or removing the offending records.
    3. Transformation Rules: Review the transformation rules in your data flow to ensure they are correctly converting or handling data types. Adjust the logic to handle non-numeric values appropriately.
    4. Field Definition: Verify the field definitions in the data model to ensure they are set up correctly. If necessary, adjust the field type to accommodate the data being processed.
    5. Error Handling: Implement error handling in your data loading process to catch and log non-numeric values before they cause issues in the model.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
    • Data Modeling Documentation: Review SAP documentation on data modeling best practices to ensure compliance with data type definitions.
    • Testing: After making changes, conduct thorough testing to ensure that the issue is resolved and that no new issues have been introduced.

    By addressing the root cause of the non-numeric values and ensuring that the data conforms to the expected formats, you can resolve the RSDME523 error and maintain the integrity of your data model.

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