How To Fix RSAN_RT509 - Data contains invalid characteristic values for characteristic &1 (&2)


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSAN_RT - Messages for Runtime Analysis

  • Message number: 509

  • Message text: Data contains invalid characteristic values for characteristic &1 (&2)

  • Show details Hide details
  • MESS SHORT TEXT: Data contains invalid characteristic values for
    for characteristic &1 (&2)

    What causes this issue?

    For characteristic &V1& (&V2&), characteristic values were found that
    are not contained in the master data table. To prevent errors in the
    data, attribute values may only be written for characteristic values
    that the master data table already contains.

    System Response

    The analytical process terminates.

    How to fix this error?

    For more information about the affected characteristic values, refer to
    the previous messages in this log. Check the incorrect characteristic
    values and change the analysis process.

    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 RSAN_RT509 - Data contains invalid characteristic values for characteristic &1 (&2) ?

    The SAP error message RSAN_RT509 indicates that there are invalid characteristic values present in the data for a specific characteristic in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence). This error typically arises during data loading or transformation processes when the system encounters values that do not conform to the expected format or range for a given characteristic.

    Cause:

    1. Invalid Data Values: The data being loaded may contain values that are not valid for the specified characteristic. This could be due to:

      • Typographical errors in the data.
      • Values that are outside the defined range or domain for the characteristic.
      • Values that do not exist in the master data for that characteristic.
    2. Master Data Issues: The characteristic may have associated master data that is incomplete or missing. If the data being loaded references a characteristic value that does not exist in the master data, this error will occur.

    3. Data Type Mismatch: The data type of the values being loaded may not match the expected data type for the characteristic (e.g., trying to load a string into a numeric field).

    Solution:

    1. Check the Data Source: Review the data being loaded to identify any invalid values. This may involve:

      • Running queries or reports to identify records with invalid characteristic values.
      • Validating the data against the expected format and range.
    2. Validate Master Data: Ensure that the master data for the characteristic is complete and accurate. This may involve:

      • Checking if all required characteristic values exist in the master data.
      • Updating or correcting the master data as necessary.
    3. Data Transformation: If the data needs to be transformed before loading, ensure that the transformation logic correctly handles the values. This may involve:

      • Implementing data cleansing steps to correct or remove invalid values.
      • Mapping values to valid characteristic values if necessary.
    4. Error Handling: Implement error handling in your data loading process to capture and log invalid records for further analysis.

    5. Testing: After making corrections, test the data load process again to ensure that the error is resolved.

    Related Information:

    • Transaction Codes: You can use transaction codes like RSA1 (Data Warehousing Workbench) to check the InfoObjects and master data.
    • Data Validation: Use tools like the Data Services or SAP BW Query Designer to validate the data and ensure it meets the required standards.
    • Documentation: Refer to SAP documentation for specific characteristics and their valid values, as well as guidelines for data loading and transformation processes.

    By following these steps, you should be able to identify and resolve the RSAN_RT509 error effectively.

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