How To Fix /SAPAPO/OM_PERF_MSG301 - Heap: Create/delete 50MB in chunks of fixed size 2kB

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/OM_PERF_MSG -

• Message number: 301

• Message text: Heap: Create/delete 50MB in chunks of fixed size 2kB

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/OM_PERF_MSG301 - Heap: Create/delete 50MB in chunks of fixed size 2kB ?

  The SAP error message /SAPAPO/OM_PERF_MSG301 indicates a performance issue related to memory management in the SAP Advanced Planning and Optimization (APO) module. Specifically, it suggests that the system is attempting to allocate or deallocate memory in chunks of 2KB, which can lead to inefficiencies, especially when dealing with larger memory requests (like 50MB).
  Cause:
  
  Memory Fragmentation: The system may be experiencing memory fragmentation, where free memory is divided into small blocks, making it difficult to allocate larger contiguous blocks of memory.
  Configuration Issues: The memory allocation settings in the SAP system may not be optimized for the workload, leading to inefficient memory usage.
  High Load: A high number of concurrent users or processes can lead to increased memory allocation requests, exacerbating the issue.
  Insufficient Memory: The system may not have enough physical or virtual memory allocated to handle the demands of the APO processes.
  
  Solution:
  
  Increase Memory Allocation: Review and increase the memory settings for the SAP instance. This can be done in the instance profile parameters (e.g., abap/heap_area_total, abap/heap_area_dia, etc.).
  Optimize Memory Usage: Analyze the memory usage patterns and optimize the configuration. This may involve adjusting the sizes of various memory areas or tuning the application to reduce memory consumption.
  Monitor and Analyze: Use transaction codes like ST02 (Tune Summary) and ST04 (Database Performance) to monitor memory usage and identify bottlenecks. Look for any long-running processes that may be consuming excessive memory.
  Check for Updates: Ensure that your SAP system is up to date with the latest support packages and patches, as these may contain performance improvements and bug fixes.
  Review Custom Code: If there are custom developments or enhancements in the APO module, review them for memory efficiency. Poorly written code can lead to excessive memory usage.
  Consider Hardware Upgrade: If the system consistently runs out of memory, consider upgrading the hardware to provide more resources.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to memory management and performance issues in APO. SAP frequently releases notes that address specific issues and provide guidance on best practices.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have implemented.
  Performance Tuning Guides: Refer to SAP's performance tuning guides for APO, which provide best practices for optimizing system performance.
  
  By addressing the underlying causes and implementing the suggested solutions, you should be able to mitigate the performance issues indicated by the error message.