How To Fix RSMSS_ANALYZER_MSG009 - InfoCube F-Fact tables with missing indexes/obsolete index layout

SAP Error Message - Details

• Message type: E = Error

• Message class: RSMSS_ANALYZER_MSG - Messages for RSMSS_ANALYZER

• Message number: 009

• Message text: InfoCube F-Fact tables with missing indexes/obsolete index layout

Check description
This check looks for infocube F-Fact tables and compares existing
indexes with the indexes defined in the SAP standard of your current BW
release.
The check identifies:
Missing SAP standard indexes (including unique and clustered indexes)
Customer-created indexes that do not meet the SAP standard (that is, not
defined as data dictionary extension indexes)
SAP standard indexes based on a former BW release in case they are
different to the standard of the current BW release
Indexes that only exist in the database (without data dictionary
definition) are not found.
The findings are displayed as warning messages. It is not mandatory to
repair the index layouts, for example, after the upgrade of your system.
Repair description
With the repair option, the index layout of the selected F-Fact table is
adapted to the SAP standard. DDIC extension indexes and indexes that
exist in the database remain unchanged.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSMSS_ANALYZER_MSG009 - InfoCube F-Fact tables with missing indexes/obsolete index layout ?

  The SAP error message RSMSS_ANALYZER_MSG009 indicates that there are missing indexes or an obsolete index layout for the InfoCube fact tables in your SAP BW (Business Warehouse) system. This can lead to performance issues when querying the InfoCube, as the absence of proper indexing can slow down data retrieval processes.
  
  Cause:
  
  Missing Indexes: The fact tables in the InfoCube may not have the necessary indexes created, which are essential for optimizing query performance.
  Obsolete Index Layout: The existing indexes may not be aligned with the current structure of the InfoCube, possibly due to changes in the data model or after a data load.
  Data Model Changes: If there have been changes to the InfoCube structure (like adding or removing characteristics), the existing indexes may become obsolete.
  Data Load Issues: If data loads have not been executed properly, it may lead to inconsistencies in the indexing.
  
  
  Solution:
  
  
  Rebuild Indexes: You can rebuild the indexes for the affected InfoCube.