How To Fix RSD_TREX504 - Delta index is more than 10% of the main index ('&1', '&2'%)

RSD_TREX504 - Overview

• Message type: E = Error

• Message class: RSD_TREX - Messages from TREX Aggregate Area

• Message number: 504

• Message text: Delta index is more than 10% of the main index ('&1', '&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 RSD_TREX504 - Delta index is more than 10% of the main index ('&1', '&2'%) ?

  The SAP error message RSD_TREX504 indicates that the delta index size is more than 10% of the main index size for a given InfoProvider in SAP BW (Business Warehouse). This situation can lead to performance issues and inefficiencies in data retrieval and processing.
  
  Cause:
  The error occurs when the delta index (which contains the changes made to the data since the last full load) grows too large compared to the main index (which contains the complete dataset). This can happen due to several reasons:
  
  High Volume of Delta Changes: If there are frequent or large updates to the data, the delta index can grow quickly.
  Inefficient Data Modeling: Poorly designed data models or InfoProviders can lead to excessive delta data.
  Infrequent Full Loads: If full loads are not performed regularly, the delta index can accumulate and exceed the threshold.
  Data Quality Issues: If there are issues with the data being loaded (e.g., duplicates or unnecessary updates),