How To Fix WRF_REF148 - &1 of &2 task(s) exceeded the maximum processing time

WRF_REF148 - Overview

• Message type: E = Error

• Message class: WRF_REF - Messages from References for Materials Without History

• Message number: 148

• Message text: &1 of &2 task(s) exceeded the maximum processing time

What causes this issue?

The system computes a maximum processing time for each task. &V1& of
&V2& task(s) exceeded this maximum processing time.

System Response

After exceeding the maximum processing time, the system does not wait
for the normal end of the task. However, the task can still end normally
while the system waits for the completion of other tasks. This is logged
via another message.
If a task exceeds its maximum processing time and does not end while the
system waits for other tasks, this task will not be included in the
error log displayed, even if you have chosen the option <LS>Show error
list </> on the selection screen.

How to fix this error?

For information only

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.

Smart SAP Assistant

• What is the cause and solution for SAP error message WRF_REF148 - &1 of &2 task(s) exceeded the maximum processing time ?

  The SAP error message WRF_REF148 indicates that a certain number of tasks (specified in the message) have exceeded the maximum processing time allowed in the system. This error typically occurs in the context of the SAP Retail module, particularly when dealing with processes that involve large volumes of data or complex calculations.
  
  Cause:
  
  Long Processing Time: The tasks may be taking longer than expected due to large datasets, inefficient processing logic, or system performance issues.
  System Performance: High system load, insufficient resources (CPU, memory), or other performance bottlenecks can lead to tasks exceeding their time limits.
  Configuration Settings: The maximum processing time for tasks may be set too low for the volume of data being processed.
  Data Volume: Large volumes of data being processed in a single task can lead to timeouts.
  Inefficient Queries: Poorly optimized queries or processes that require extensive calculations can also contribute to this issue.
  
  
  Solution:
  
  Increase Maximum Processing Time: Review and adjust the