How To Fix RSDU_REPART100 - <<< Messages 100-199 reserved for star <-> flat mass conversion >>>

RSDU_REPART100 - Overview

• Message type: E = Error

• Message class: RSDU_REPART - Messages for Repartitioning InfoProviders

• Message number: 100

• Message text: <<< Messages 100-199 reserved for star <-> flat mass conversion >>>

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.

RSDU_REPART100 - Details

• The SAP error message RSDU_REPART100 indicates an issue related to the conversion of data between star and flat structures in the context of SAP BW (Business Warehouse). This error typically arises during the process of data loading or when trying to access InfoProviders that are configured in a star schema.
  
  Cause:
  The error message suggests that there is a problem with the conversion process between star and flat structures. This can occur due to several reasons, including:
  
  Data Model Issues: There may be inconsistencies or misconfigurations in the data model, such as missing or incorrect relationships between fact and dimension tables.
  Data Source Problems: The data source might not be properly defined or might be missing required fields.
  Transformation Errors: Errors in the transformation rules that are supposed to convert data from the source to the target structure.
  Data Integrity Issues: There may be issues with the data itself, such as duplicates or missing keys that