How To Fix RSDHA448 - Field '&1' of error stack missing

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDHA - HANA Analysis in BW

• Message number: 448

• Message text: Field '&1' of error stack missing

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDHA448 - Field '&1' of error stack missing ?

  The SAP error message RSDHA448, which states "Field '&1' of error stack missing," typically occurs in the context of SAP BW (Business Warehouse) when there is an issue with the data extraction or transformation process. This error indicates that a specific field expected in the error stack is not available, which can hinder the data loading or processing operations.
  Causes:
  
  Missing Field in Data Source: The field referenced in the error message may not exist in the data source or the data model.
  Incorrect Data Mapping: There may be a mismatch in the mapping of fields between the source and target data structures.
  Data Model Changes: Changes in the data model (like adding or removing fields) without proper adjustments in the data flow can lead to this error.
  Inconsistent Data: The data being processed may have inconsistencies or missing values that prevent the field from being populated correctly.
  Technical Issues: There could be underlying technical issues, such as problems with the data extraction process or issues with the InfoPackage.
  
  Solutions:
  
  Check Data Source: Verify that the field mentioned in the error message exists in the data source. If it has been removed or renamed, update the data flow accordingly.
  Review Data Mapping: Ensure that the mapping of fields in the transformation rules is correct. Adjust the mapping if necessary to align with the current data structure.
  Update Data Model: If there have been changes to the data model, ensure that all related objects (like InfoObjects, DSO, or InfoCubes) are updated to reflect these changes.
  Validate Data: Check the data being loaded for any inconsistencies or missing values. Cleanse the data if necessary to ensure it meets the expected format.
  Re-run the Data Load: After making the necessary adjustments, re-run the data load process to see if the error persists.
  Check Logs: Review the error logs for additional context or related errors that may provide more insight into the issue.
  
  Related Information:
  
  Transaction Codes: Use transaction codes like RSA1 (Data Warehousing Workbench) to analyze the data flow and transformations.
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message. SAP frequently updates its knowledge base with solutions for common problems.
  Documentation: Refer to SAP documentation for best practices in data modeling and extraction processes to avoid similar issues in the future.
  
  If the problem persists after trying the above solutions, consider reaching out to SAP support for further assistance, providing them with detailed information about the error and the steps you have already taken.