How To Fix RSD_TREX426 - Check for InfoObject &1 skipped due to too much data from BW

SAP Error Message - Details

• Message type: E = Error

• Message class: RSD_TREX - Messages from TREX Aggregate Area

• Message number: 426

• Message text: Check for InfoObject &1 skipped due to too much data from BW

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSD_TREX426 - Check for InfoObject &1 skipped due to too much data from BW ?

  The SAP error message RSD_TREX426 indicates that a check for an InfoObject in SAP BW (Business Warehouse) was skipped because there is too much data to process. This typically occurs when the system attempts to perform a check or operation on a large dataset, which can lead to performance issues or timeouts.
  Cause:
  
  Large Data Volume: The primary cause of this error is that the InfoObject being checked has a very large amount of data associated with it, which exceeds the system's capacity to process in a timely manner.
  System Configuration: The system may not be optimally configured to handle large datasets, leading to performance bottlenecks.
  Query Design: Inefficient query design or overly complex calculations can exacerbate the issue, causing the system to struggle with data retrieval.
  
  Solution:
  
  
  Reduce Data Volume:
  
  Filter Data: Apply filters to limit the amount of data being processed. This can be done by adjusting the selection criteria in the query or report.
  Aggregate Data: If possible, aggregate the data at a higher level to reduce the volume being processed.
  
  
  
  Optimize Queries:
  
  Review and optimize the queries that are being executed. Simplifying the query logic or breaking it into smaller parts can help.
  Use performance analysis tools in SAP BW to identify bottlenecks in the query execution.
  
  
  
  System Configuration:
  
  Check the system settings and configurations related to memory allocation and processing limits. Increasing the memory allocation for the BW system may help.
  Ensure that the BW system is running on appropriate hardware that can handle large datasets.
  
  
  
  Data Management:
  
  Consider archiving old or less frequently accessed data to reduce the overall data volume in the system.
  Regularly monitor and maintain the data model to ensure it is efficient and not overloaded with unnecessary data.
  
  
  
  Batch Processing:
  
  If applicable, consider processing the data in batches rather than all at once. This can help manage the load on the system.
  
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance on handling large datasets in BW.
  Performance Monitoring: Utilize SAP BW performance monitoring tools to analyze query performance and identify areas for improvement.
  Documentation: Refer to SAP documentation for best practices in managing large datasets and optimizing BW queries.
  
  If the issue persists after trying these solutions, it may be beneficial to consult with SAP support or a BW expert for further assistance.