How To Fix UJA_DATA_CHECK029 - Required attribute &2 of dimension &1 exists but is not as expected

SAP Error Message - Details

• Message type: E = Error

• Message class: UJA_DATA_CHECK - BPC: Messages for Data Check

• Message number: 029

• Message text: Required attribute &2 of dimension &1 exists but is not as expected

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message UJA_DATA_CHECK029 - Required attribute &2 of dimension &1 exists but is not as expected ?

  The SAP error message UJA_DATA_CHECK029 indicates that there is an issue with the data consistency in the context of SAP BW (Business Warehouse) or SAP BW/4HANA. Specifically, it suggests that a required attribute of a dimension exists but does not meet the expected criteria or format.
  Cause:
  The error typically arises due to one of the following reasons:
  
  Data Inconsistency: The attribute in question may have been changed or updated in a way that does not align with the expected data model or structure.
  Missing or Incorrect Data: The attribute might be missing for certain records, or the data type or format of the attribute does not match what is expected (e.g., a numeric field containing text).
  Model Changes: Changes in the data model, such as modifications to the InfoObject or dimension, can lead to this error if the data does not conform to the new structure.
  Data Load Issues: Problems during data extraction, transformation, or loading (ETL) processes can lead to incomplete or incorrect data being loaded into the InfoProvider.
  
  Solution:
  To resolve the UJA_DATA_CHECK029 error, you can follow these steps:
  
  
  Check the Data Model:
  
  Review the InfoObject and dimension definitions to ensure that the required attributes are correctly defined and that their data types are appropriate.
  
  
  
  Validate Data:
  
  Use transaction codes like RSA1 (Data Warehousing Workbench) to check the data in the InfoProvider. Look for records that may be missing the required attribute or have incorrect values.
  
  
  
  Data Cleansing:
  
  If you identify records with incorrect or missing data, you may need to cleanse the data. This could involve correcting the data in the source system or using transformation rules during the ETL process.
  
  
  
  Reprocess Data Loads:
  
  If the issue arose during a data load, consider reprocessing the data load after making the necessary corrections. Ensure that the data extraction and transformation processes are functioning correctly.
  
  
  
  Check for Changes:
  
  If there have been recent changes to the data model, ensure that all relevant data has been updated accordingly. This may involve updating the data in the source system or adjusting the ETL processes.
  
  
  
  Consult Documentation:
  
  Review SAP documentation or notes related to the specific error message for additional context or specific recommendations.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as RSA1 (Data Warehousing Workbench), RSMO (Monitor Data Loads), and others that can help in diagnosing and resolving data issues.
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
  Data Quality Tools: Consider using data quality tools or features within SAP BW to monitor and maintain data integrity.
  
  By following these steps, you should be able to identify the root cause of the UJA_DATA_CHECK029 error and implement a solution to resolve it.