How To Fix RS_DB_DB6039 - Average number of records for each MDC cell: &1

SAP Error Message - Details

• Message type: E = Error

• Message class: RS_DB_DB6 - DB6-Specific Messages in SAP BW

• Message number: 039

• Message text: Average number of records for each MDC cell: &1

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.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RS_DB_DB6039 - Average number of records for each MDC cell: &1 ?

  The SAP error message RS_DB_DB6039, which states "Average number of records for each MDC cell: &1," typically relates to issues with the data storage in the SAP BW (Business Warehouse) system, particularly concerning the Multi-Dimensional Cube (MDC) storage structure.
  Cause:
  This error message usually indicates that the average number of records in a Multi-Dimensional Cube (MDC) cell has exceeded a certain threshold. This can happen due to:
  
  Data Volume: An increase in the volume of data being loaded into the cube, leading to a higher average number of records per cell.
  Data Model Design: Inefficient data modeling or design that results in too many records being stored in a single cell.
  Aggregation Issues: Problems with how data is aggregated or how the data is structured within the cube.
  
  Solution:
  To resolve this issue, you can consider the following approaches:
  
  
  Data Reduction:
  
  Review the data being loaded into the cube and consider filtering out unnecessary records or aggregating data before loading it into the cube.
  Implement data archiving strategies to reduce the volume of historical data stored in the cube.
  
  
  
  Cube Redesign:
  
  Analyze the data model and consider redesigning the cube to distribute data more evenly across cells. This may involve creating additional dimensions or fact tables.
  Ensure that the dimensions are properly defined and that they are not leading to excessive record counts in individual cells.
  
  
  
  Performance Tuning:
  
  Optimize the data loading process and ensure that the ETL (Extract, Transform, Load) processes are efficient.
  Check for any performance tuning options available in SAP BW that can help manage the data more effectively.
  
  
  
  Monitoring and Alerts:
  
  Set up monitoring for data loads and cube performance to catch issues early before they lead to errors.
  Use transaction codes like RSA1 to monitor the InfoProviders and check for any inconsistencies or performance issues.
  
  
  
  Consult SAP Notes:
  
  Check the SAP Support Portal for any relevant SAP Notes or updates that may address this specific error or provide additional guidance.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as RSA1 (Data Warehousing Workbench), RSD1 (InfoObject Maintenance), and RSPC (Process Chain Maintenance) for managing and monitoring your BW environment.
  Documentation: Review SAP documentation on data modeling and best practices for BW to ensure that your data structures are optimized for performance.
  SAP Community: Engage with the SAP Community forums for insights and solutions from other users who may have encountered similar issues.
  
  By addressing the underlying causes and implementing the suggested solutions, you should be able to resolve the RS_DB_DB6039 error and improve the performance of your SAP BW system.