How To Fix FI_E250 - Performance in processing over 100,000 records will be low

SAP Error Message - Details

• Message type: E = Error

• Message class: FI_E - Message Class for FM English Developers

• Message number: 250

• Message text: Performance in processing over 100,000 records will be low

What causes this issue?

Over 100,000 source-field permutations of data need to be processed.
The processing of these permutations would affect the performance of
this program in obtaining the assignments for each of these
permutations. Also, the system may crash.

System Response

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

How to fix this error?

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message FI_E250 - Performance in processing over 100,000 records will be low ?

  The SAP error message FI_E250 indicates that the performance of a process is expected to be low when handling over 100,000 records. This message is typically a warning rather than a critical error, and it serves to inform users that processing a large volume of data may lead to performance issues.
  Cause:
  
  Large Data Volume: The primary cause of this message is the processing of a large number of records (over 100,000). This can occur in various transactions, such as financial postings, data uploads, or batch processing jobs.
  System Resources: Insufficient system resources (CPU, memory, I/O) can exacerbate performance issues when processing large datasets.
  Inefficient Queries: If the underlying database queries are not optimized, they can lead to longer processing times.
  Lock Contention: High contention for database locks can slow down processing, especially in a multi-user environment.
  
  Solution:
  
  Batch Processing: Instead of processing all records at once, consider breaking the data into smaller batches. This can help improve performance and reduce the load on the system.
  Optimize Queries: Review and optimize any database queries involved in the process. Ensure that appropriate indexes are in place and that the queries are efficient.
  Increase System Resources: If possible, allocate more resources to the SAP system (e.g., increase memory, CPU, or disk I/O capacity).
  Schedule During Off-Peak Hours: If the processing can be scheduled, consider running it during off-peak hours when system usage is lower.
  Use Background Processing: If applicable, run the process in the background to avoid impacting the performance of the interactive user sessions.
  Monitor Performance: Use SAP performance monitoring tools (like ST03N, ST04, or ST05) to analyze the performance of the transaction and identify bottlenecks.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address performance issues related to specific transactions or processes.
  Transaction Codes: Familiarize yourself with transaction codes that can help monitor and analyze performance (e.g., ST22 for dumps, SM21 for system logs).
  SAP Community: Engage with the SAP Community or forums for insights and shared experiences from other users who may have encountered similar issues.
  Documentation: Review SAP documentation for best practices on handling large data volumes and optimizing performance.
  
  By addressing the underlying causes and implementing the suggested solutions, you can mitigate the performance issues associated with processing large volumes of records in SAP.