How To Fix MDG_MDF309 - Data is inconsistent in hierarchy table &2

MDG_MDF309 - Overview

• Message type: E = Error

• Message class: MDG_MDF - Master Data: Messages

• Message number: 309

• Message text: Data is inconsistent in hierarchy table &2

What causes this issue?

Errors occurred while saving changes to a time-dependent hierarchy for
characteristic &v1&.
Table &V2& most likely has inconsistent data. The table has entries
with values for from/to year and period, which are not intended for the
fiscal year variant &V3& being used. A possible cuase for this is the
subsequent change of a global setting (for example, the fiscal year
variant).

System Response

Continuing processing: Unable to correctly adjust some entries.

How to fix this error?

Notify your systems administrator.

Procedure for System Administrators

Try to locate the invalid entries in table &v2&, and, if applicable,
manually correct them. If this error occurs repeatedly and it is not
caused by faulty operation (on behalf of the user), you may wish to
contact SAP.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message MDG_MDF309 - Data is inconsistent in hierarchy table &2 ?

  The SAP error message MDG_MDF309, which states "Data is inconsistent in hierarchy table &2," typically occurs in the context of Master Data Governance (MDG) when there are inconsistencies in the hierarchy data for a specific master data object. This can happen due to various reasons, such as incorrect data entries, missing relationships, or issues during data replication.
  Causes:
  
  Inconsistent Hierarchy Data: The hierarchy structure may have been altered, leading to inconsistencies in parent-child relationships.
  Data Replication Issues: If data is being replicated from another system, there may be issues with the data transfer that lead to inconsistencies.
  Manual Data Entry Errors: Users may have entered data incorrectly, leading to broken links in the hierarchy.
  Deletion of Nodes: If a parent node is deleted without properly handling its child nodes, this can lead to inconsistencies.
  Data Model Changes: Changes in the data model or hierarchy structure may not have been properly reflected in the existing data.
  
  Solutions:
  
  Check Hierarchy