How To Fix RPUGEN010 - Maintain maximum number of processes for parallel processing only

RPUGEN010 - Overview

• Message type: E = Error

• Message class: RPUGEN - General Error Messages in Procurement (ISR)

• Message number: 010

• Message text: Maintain maximum number of processes for parallel processing only

What causes this issue?

In the technical controls, you maintained a maximum number of processes
(value entered > 0) without activating parallel processing. The maximum
number of processes is only relevant for parallel processing, and
should not be entered if you do not execute the program using parallel
processing.

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?

Enter a value of 0 (or no value at all) in the field for the maximum
number of processes.
Start the program and activate parallel processing. However, you can
only do this if you execute the program in the background.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

RPUGEN010 - Details

• The SAP error message RPUGEN010 typically occurs in the context of parallel processing in SAP systems, particularly when the system has reached the maximum number of processes that can be executed in parallel. This can happen during batch processing or when executing certain reports that utilize parallel processing capabilities.
  
  Cause:
  The error message indicates that the system has hit the limit for the maximum number of parallel processes that can be executed. This limit is defined in the system settings and can be influenced by various factors, including:
  
  Configuration Settings: The maximum number of parallel processes is defined in the SAP system configuration. If the limit is set too low, it can lead to this error.
  System Resources: The underlying hardware and system resources (CPU, memory) may not be sufficient to handle more parallel processes.
  Job Scheduling: If there are too many jobs scheduled to run in parallel, it can exceed the configured limits.
  
  
  Solution:
  To resolve