How To Fix BRAIN595 - Numerical overflow (structure element &1 &2)

SAP Error Message - Details

• Message type: E = Error

• Message class: BRAIN -

• Message number: 595

• Message text: Numerical overflow (structure element &1 &2)

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message BRAIN595 - Numerical overflow (structure element &1 &2) ?

  The SAP error message BRAIN595, which indicates a "Numerical overflow (structure element &1 &2)," typically occurs in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when there is an attempt to process data that exceeds the numerical limits defined for a particular field or structure element.
  Cause:
  
  Data Volume: The most common cause of this error is that the data being processed exceeds the maximum value that can be stored in the specified data type. For example, if a field is defined as an integer and the value exceeds the maximum limit for integers, this error will occur.
  Aggregation Issues: If you are performing aggregations (like summing up values) and the result exceeds the maximum limit of the data type, this can also lead to an overflow.
  Incorrect Data Types: Sometimes, the data type defined in the InfoObject or data structure may not be appropriate for the data being loaded or processed.
  
  Solution:
  
  Check Data Types: Review the data types of the fields involved in the error. Ensure that they are appropriate for the range of data you expect. If necessary, change the data type to a larger one (e.g., from integer to bigint).
  Data Cleansing: Ensure that the data being loaded into the system is clean and does not contain values that could lead to overflow. This may involve filtering out extreme values or correcting erroneous data.
  Aggregation Logic: If the error occurs during aggregation, consider modifying the aggregation logic to handle large values more effectively. You might need to break down the aggregation into smaller parts or use a different approach to avoid overflow.
  Increase Limits: If possible, increase the limits of the data structure or InfoObject to accommodate larger values.
  Debugging: Use transaction codes like RSA1 (Data Warehousing Workbench) or RSMO (Monitor Data Load) to analyze the data load process and identify where the overflow occurs.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues or patches related to this error. SAP frequently updates its knowledge base with solutions for common problems.
  Data Modeling: Review your data model to ensure that it is designed to handle the expected data volumes and types.
  Performance Considerations: Be aware that changing data types or aggregation methods may have performance implications, so test any changes in a development environment before applying them to production.
  
  If the problem persists after trying these solutions, consider reaching out to SAP support for further assistance, providing them with detailed information about the error context and any steps you have already taken.