How To Fix RT332 - Subtree: SAP instance memory management

RT332 - Overview

• Message type: E = Error

• Message class: RT - Monitoring infrastructure MSG and alert texts

• Message number: 332

• Message text: Subtree: SAP instance memory management

What causes this issue?

An application runs in a work process. The work process requires memory
for this application. The Memory Management System assigns the memory
to the process. Which type of memory is assigned in which order depends
on the work process type (Dialog or non-dialog) and the underlying
operating system.

How to fix this error?

You can find detailed information about the Memory Management System in
the SAP Library under:
<LS>SAP Library -> Basis Components -> Client/Server Technology
(BC-CST) -> Memory-Management (BC-CST-MM)</> .
<DS:KENO.6E977EC18423D511AE8F00A0C9EAF615>Link to this information</>

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RT332 - Subtree: SAP instance memory management ?

  The SAP error message RT332, which pertains to "Subtree: SAP instance memory management," typically indicates an issue related to memory allocation or management within the SAP system. This error can arise due to various reasons, including insufficient memory resources, configuration issues, or problems with the underlying operating system.
  Causes:
  
  Insufficient Memory Allocation: The SAP instance may not have enough memory allocated to handle the current workload.
  
  Configuration Issues: Incorrect settings in the SAP profile parameters related to memory management (e.g., abap/heap_area_total, abap/heap_area_dia, etc.) can lead to this error.
  Operating System Limits: The operating system may impose limits on memory usage that can affect the SAP instance.
  Memory Leaks: Applications or processes running within the SAP environment may have memory leaks, consuming more memory over time.
  High Load: A sudden increase in user load or background jobs can lead to memory exhaustion.
  
  Solutions:
  
  
  Check Memory Allocation:
  
  Review and adjust the memory parameters in the instance profile. Ensure that the parameters