How To Fix SABP_KEY_REDUNDANCY009 - Keys &1 and &2 are both unique

SABP_KEY_REDUNDANCY009 - Overview

• Message type: E = Error

• Message class: SABP_KEY_REDUNDANCY - Superfluous Keys Messages

• Message number: 009

• Message text: Keys &1 and &2 are both unique

What causes this issue?

The table keys &V1& and &V2& are both of the type SORTED. The non-unique
key &V1& is an initial part of the unique key &V2&. Check whether both
keys are required.
INCLUDE INCL_MIGRATION_SCENARIO
The key &V2& has more components than &V1& and is thus more selective.
In the case of all statements where the key &V1& is used, &V2& could
also be used (exception: READ/DELETE # WITH TABLE KEY#, where all key
components have to be assigned exactly).
Check whether only one of the keys is used or could be used and whether
the other key can be removed.

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?

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 SABP_KEY_REDUNDANCY009 - Keys &1 and &2 are both unique ?

  The SAP error message SABP_KEY_REDUNDANCY009 indicates that there is a redundancy issue with the keys in a particular context, typically when working with master data or configuration settings. The message states that the keys &1 and &2 are both unique, which means that the system has detected that two entries are trying to use the same unique key, leading to a conflict.
  
  Cause:
  
  Duplicate Entries: The most common cause of this error is that there are two entries in the database that are trying to use the same unique key. This can happen during data migration, data uploads, or manual entry.
  
  Configuration Issues: Sometimes, the configuration settings in the system may allow for the creation of duplicate keys, which can lead to this error.
  Data Consistency Issues: If there are inconsistencies in the data, such as incorrect relationships or dependencies, it can lead to this error.
  
  
  Solution:
  
  Identify Duplicates: Check the entries for the keys mentioned