How To Fix RSCNV003 - Replace characteristic &1 with &2

RSCNV003 - Overview

• Message type: E = Error

• Message class: RSCNV - Messages class for Metadata Remodeling Toolbox

• Message number: 003

• Message text: Replace characteristic &1 with &2

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

RSCNV003 - Details

• The SAP error message RSCNV003, which states "Replace characteristic &1 with &2," typically occurs in the context of data extraction or transformation processes, particularly when dealing with characteristics in SAP BW (Business Warehouse) or SAP BI (Business Intelligence). This error indicates that there is a mismatch or inconsistency between the characteristics defined in the data source and those expected in the target data model.
  
  Cause:
  
  
  Mismatch of Characteristics: The error usually arises when a characteristic (e.g., a field or attribute) in the source data does not match the expected characteristic in the target data model. This can happen if:
  
  The source data structure has changed (e.g., a field was renamed or removed).
  The target data model has been modified, and the mapping is no longer valid.
  There are inconsistencies in the data source or transformation rules.
  
  
  
  Data Source Changes: If the underlying data source (like an InfoSource or DataSource) has been altered, it may lead to