How To Fix RSM1534 - DataStore object & is write-optimized; cannot set QM status

SAP Error Message - Details

• Message type: E = Error

• Message class: RSM1 - Messages for AWB, Scheduler and Monitor (new)

• Message number: 534

• Message text: DataStore object & is write-optimized; cannot set QM status

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSM1534 - DataStore object & is write-optimized; cannot set QM status ?

  The SAP error message RSM1534 indicates that you are trying to set the Quality Management (QM) status for a DataStore Object (DSO) that is write-optimized. Write-optimized DSOs are designed for high-speed data loading and do not support the QM status because they are not intended for data quality checks or validations.
  Cause:
  The primary cause of this error is that you are attempting to set a QM status on a write-optimized DataStore Object. Write-optimized DSOs are typically used for staging data before it is transferred to a more structured format, such as a standard DSO or InfoCube, where QM checks can be applied.
  Solution:
  To resolve this error, you have a few options:
  
  
  Avoid Setting QM Status: If you are working with a write-optimized DSO, you should not attempt to set the QM status. Instead, focus on loading the data and then transferring it to a standard DSO or InfoCube where you can apply QM checks.
  
  
  Use a Standard DSO: If you need to perform QM checks on the data, consider using a standard DataStore Object instead of a write-optimized one. Standard DSOs support QM status and allow for data validation and quality checks.
  
  
  Data Flow Adjustment: Review your data flow and ETL processes. If you need to maintain data quality, ensure that the data is moved from the write-optimized DSO to a standard DSO or InfoCube where QM status can be set.
  
  
  Related Information:
  
  Write-Optimized DSO: This type of DSO is optimized for fast data loading and is typically used in scenarios where data is collected quickly and later processed or validated.
  Standard DSO: This type of DSO allows for data quality checks and is used for more structured data storage and reporting.
  QM Status: The QM status is used to indicate the quality of the data in the DSO, allowing users to track and manage data quality issues.
  
  Best Practices:
  
  Always assess the requirements for data quality and choose the appropriate type of DSO based on your needs.
  If you are unsure about the type of DSO to use, consult with your data management or BI team to ensure that your data architecture aligns with your business requirements.
  
  By following these guidelines, you can effectively manage your data and avoid encountering the RSM1534 error in the future.