How To Fix FMHIE057 - Too much data (&1 nodes) to be loaded at one time (maximum &2 nodes)

FMHIE057 - Overview

• Message type: E = Error

• Message class: FMHIE - Budget Hierarchies

• Message number: 057

• Message text: Too much data (&1 nodes) to be loaded at one time (maximum &2 nodes)

What causes this issue?

The system loads the hierarchy data for display or print if you do one
of the following operations in the hierarchy:
Expand the subtrees of selected nodes
Print the entire hierarchy
However, with the current selection, too much data (&V1& nodes) will be
loaded (maximum &v2& nodes), resulting in a timeout.

System Response

Processing stops

How to fix this error?

If you want to expand the subtree, do one of the following:
Reduce the number of selected nodes
First, expand the selected nodes by clicking the triangle on the left,
then select some of the children and try <ZK>Expand subtree</> again
If you want to print the entire hierarchy:
Select <ZK>Print view</>
Change the selection options for displaying the hierarchy

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

FMHIE057 - Details

• The SAP error message FMHIE057 indicates that the system is attempting to load more data nodes than the maximum allowed limit. This typically occurs in scenarios where a large amount of hierarchical data is being processed, such as in the context of Financial Management (FM) or other modules that deal with hierarchical structures.
  
  Cause:
  The error is triggered when the number of nodes (data entries) being processed exceeds the predefined limit set in the system configuration. This limit is in place to prevent performance issues and ensure that the system can handle data efficiently without overloading memory or processing capabilities.
  
  Solution:
  To resolve the FMHIE057 error, you can consider the following approaches:
  
  
  Reduce the Data Volume:
  
  Try to limit the number of nodes being processed in a single operation. This can be done by filtering the data or breaking it into smaller batches.
  If you are using a report or transaction that allows for selection criteria, refine