How To Fix RSAU021 - &1 records added to fact table &2

RSAU021 - Overview

• Message type: E = Error

• Message class: RSAU - Update rules

• Message number: 021

• Message text: &1 records added to fact table &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.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSAU021 - &1 records added to fact table &2 ?

  The SAP error message RSAU021 indicates that a certain number of records (denoted by &1) have been added to a fact table (denoted by &2) during the data extraction or loading process in SAP BW (Business Warehouse). This message is typically informational rather than an error, but it can indicate that there may be issues with data consistency or integrity if the number of records added is unexpected.
  
  Cause:
  
  Data Load Process: The message is generated during the data load process when records are being added to a fact table. It can occur during the extraction of data from a source system or during the loading of data into the BW system.
  Data Volume: A high volume of records being added may indicate that the data extraction process is functioning correctly, but it may also raise concerns if the volume is significantly higher than expected.
  Data Quality Issues: If the number of records added