How To Fix PH208 - Data inconsistency between cluster directory and payroll cluster

PH208 - Overview

• Message type: E = Error

• Message class: PH - PA: Archiving & Reorganization

• Message number: 208

• Message text: Data inconsistency between cluster directory and payroll cluster

What causes this issue?

During the test run, or during HR preparations for archiving, the
system determined that the information in the cluster directory as to
which payroll results exist does not correspond to the payroll results
that actually exist in the payroll cluster.
The reasons for this are:
Deletions in the payroll results that are not taken into account in the
directory.
Incorrect payroll runs / legacy data transfers in the past.

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?

Start report RPUDIR00 <LS>Restore the Payroll Results Directory</> for
the personnel number in question. This is only possible if you are
still in the test run.
Then try once again to perform the test run of HR preparations for
archiving.
If the report does not solve the problem, contact the hotline. If
possible, include the incorrect section from RGDIR.

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 PH208 - Data inconsistency between cluster directory and payroll cluster ?

  The SAP error message PH208 indicates a data inconsistency between the cluster directory and the payroll cluster. This typically occurs in the context of payroll processing in SAP HR (Human Resources) when there is a mismatch or inconsistency in the data stored in the payroll cluster (such as cluster B2) and the directory that manages this data.
  
  Cause:
  
  
  Data Inconsistency: The most common cause of this error is that the payroll data in the cluster does not match the expected structure or content defined in the cluster directory. This can happen due to:
  
  Manual changes to payroll data that were not properly recorded in the directory.
  Issues during payroll processing that led to incomplete or incorrect data being written to the cluster.
  System upgrades or changes that did not properly synchronize the directory and the payroll cluster.
  
  
  
  Incorrect Configuration: Misconfiguration in the payroll schema or cluster settings can also lead to inconsistencies.
  
  
  Database Issues: Corruption or issues