How To Fix AO529 - Internal field overflow: first delete and update overhead

SAP Error Message - Details

• Message type: E = Error

• Message class: AO - Appropriation requests - Master data / Customizing

• Message number: 529

• Message text: Internal field overflow: first delete and update overhead

During the update of the change document, the system internally
determines the difference between the newly entered plan value and the
old plan value. In the current case, this difference exceeds the
maximum allowed number of places before the decimal point (pre-decimal
places), which is &V1&.

System Response

Transferring the value is not possible.

How to fix this error?

If the old plan value was already updated, first delete the old plan
value and save. Then call the transaction again. This time it is
possible to transfer the new plan value.
If no plan values have been updated yet for the given year, you do not
have to save.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message AO529 - Internal field overflow: first delete and update overhead ?

  The SAP error message AO529, which states "Internal field overflow: first delete and update overhead," typically occurs in the context of SAP's Analytical Applications or when dealing with data in the SAP BW (Business Warehouse) environment. This error indicates that there is an overflow in the internal data structures used by SAP, often due to excessive data being processed or an issue with the data model.
  Causes:
  
  Data Volume: The error can occur when the volume of data being processed exceeds the limits of the internal data structures.
  Data Model Issues: There may be issues with the data model, such as incorrect configurations or relationships that lead to excessive data being loaded into memory.
  Inefficient Queries: Queries that are not optimized can lead to large amounts of data being processed at once, causing overflow.
  Memory Limitations: The system may not have enough memory allocated to handle the data being processed.
  
  Solutions:
  
  Optimize Queries: Review and optimize the