How To Fix RSDME349 - Nonnumeric value assigned to continuous field &1 - values ignored

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 349

• Message text: Nonnumeric value assigned to continuous field &1 - values ignored

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME349 - Nonnumeric value assigned to continuous field &1 - values ignored ?

  The SAP error message RSDME349 indicates that a non-numeric value has been assigned to a continuous field in a data model, typically in the context of SAP BW (Business Warehouse) or SAP HANA. This error usually occurs during data loading or transformation processes when the system encounters a value that it cannot interpret as a number in a field that is expected to contain numeric data.
  Cause:
  
  Data Type Mismatch: The field in question is defined as a numeric type (e.g., integer, decimal), but the incoming data contains non-numeric characters (e.g., letters, special characters).
  Data Quality Issues: The source data may have inconsistencies or errors, such as missing values, incorrect formatting, or unexpected characters.
  Transformation Logic: If there are transformations applied to the data (e.g., during ETL processes), they may inadvertently introduce non-numeric values into numeric fields.
  
  Solution:
  
  Data Validation: Check the source data for any non-numeric values in the field that is causing the error. You can use tools like SAP Data Services or SQL queries to identify problematic records.
  Data Cleansing: Clean the data to ensure that only valid numeric values are present. This may involve:
  
  Removing or replacing non-numeric characters.
  Converting data types where necessary.
  Handling missing values appropriately (e.g., replacing them with zeros or nulls).
  
  
  Adjust Transformation Logic: Review any transformation rules or logic applied to the data to ensure they do not introduce non-numeric values into numeric fields.
  Error Handling: Implement error handling in your data loading process to log or skip records that cause this error, allowing the rest of the data to load successfully.
  Testing: After making changes, test the data load process again to ensure that the error is resolved.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any specific guidance or patches related to this error message.
  Data Modeling: Review the data model definitions in SAP BW or HANA to ensure that field types are correctly defined and aligned with the source data.
  Documentation: Refer to SAP documentation for best practices in data loading and transformation processes to avoid similar issues in the future.
  
  By addressing the root cause of the non-numeric values and ensuring data integrity, you can resolve the RSDME349 error and successfully load your data into SAP.