How To Fix RT173 - &1 &3 > &2 &3 Utilized area of fixed device cache exceeds threshold val.

RT173 - Overview

• Message type: E = Error

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

• Message number: 173

• Message text: &1 &3 > &2 &3 Utilized area of fixed device cache exceeds threshold val.

What causes this issue?

The cache must have at least as many entries as the maximum number of
devices that can be used concurrently.

System Response

If this cache overflows, it is no longer possible to explicitly query
the spool host for requests for further devices. As the system
automatically records requests as complete after they have been
succesfully transferred to to the host spool system, this does not lead
to a malfunction.

How to fix this error?

You can set the size of the definable device cache using the profile
parameter <ZH>rspo/global_shm/printer_list</>. The standard and minimum
value is 150.
INCLUDE BC_SPOOL_MOREINFO OBJECT DOKU ID TX LANGUAGE EN

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RT173 - &1 &3 > &2 &3 Utilized area of fixed device cache exceeds threshold val. ?

  The SAP error message RT173 indicates that the utilized area of the fixed device cache has exceeded a specified threshold value. This can lead to performance issues or even system instability if not addressed. Here’s a breakdown of the cause, potential solutions, and related information for this error:
  
  Cause:
  
  Cache Utilization: The fixed device cache is used to store frequently accessed data to improve performance. If the cache is filled beyond its threshold, it can indicate that the system is under heavy load or that there are inefficiencies in data access patterns.
  Configuration Settings: The threshold values for the cache may be set too low for the current workload, leading to frequent exceedances.
  Data Volume: An increase in the volume of data being processed or accessed can lead to higher cache utilization.
  Inefficient Queries: Poorly optimized queries or reports that access large amounts of data can also contribute to high cache usage.
  
  
  Solution:
  
  
  Increase Cache Size: If