How To Fix RSRV112 - Multiple inputs in an InfoCube dimension

RSRV112 - Overview

• Message type: E = Error

• Message class: RSRV -

• Message number: 112

• Message text: Multiple inputs in an InfoCube dimension

Description
This elementary test recognizes whether there are several lines that
have different <SE><AB>DIMID</></>s(dimension table key), but have the
same <AB>SID</>s for the selected dimension table for the InfoCube
specified. (This can occur by using parallel loading jobs). This has
nothing to do with an inconsistency. However, unnecessary storage space
is occupied in the database.

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Repairs
Since the different <EX>DIMID</>s with the same SIDs are normally used
in the fact tables, they cannot simply be deleted. Therefore, all of
the different DIMIDS in the fact tables are replaced by one DIMID that
is randomly selected from the equivalent ones. Before a change can be
made to the database, the consent of the user is requested.
<EX>DIMID</>s that have become unnecessary are deleted in the
connection. In doing so, not only are the <EX>DIMD</>s deleted that
were released in the first part of the repair, but so are all of those
that are no longer used in the fact tables (including aggregates). The
consent of the user is again requested before this change is made.

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 RSRV112 - Multiple inputs in an InfoCube dimension ?

  The SAP error message RSRV112 indicates that there are multiple inputs in an InfoCube dimension, which can lead to inconsistencies in the data model. This error typically arises during the data loading or reporting processes when the system encounters multiple values for a single dimension attribute that should only have one value.
  
  Cause:
  The primary causes of the RSRV112 error include:
  
  Data Inconsistency: There may be multiple records in the dimension table that correspond to a single key in the fact table, leading to ambiguity in data retrieval.
  Incorrect Data Modeling: The InfoCube may not be properly designed, resulting in dimensions that do not uniquely identify a single record.
  Data Load Issues: During the ETL (Extract, Transform, Load) process, data may not have been transformed or loaded correctly, leading to duplicates or multiple entries for a single dimension key.
  Master Data Issues: Problems with master data, such as duplicates or incorrect relationships, can also lead to