How To Fix /SCF/CL_MDL_MESSAGES024 - Component: &1 wrong mimimum dimension &2; max available &3

SAP Error Message - Details

• Message type: E = Error

• Message class: /SCF/CL_MDL_MESSAGES -

• Message number: 024

• Message text: Component: &1 wrong mimimum dimension &2; max available &3

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 /SCF/CL_MDL_MESSAGES024 - Component: &1 wrong mimimum dimension &2; max available &3 ?

  The SAP error message /SCF/CL_MDL_MESSAGES024 typically indicates an issue related to the dimensions of a model in the SAP Analytics Cloud (SAC) or SAP BW/4HANA environment. This error message suggests that there is a mismatch between the expected minimum dimension size and the maximum available dimension size for a specific component.
  
  Cause:
  
  
  Dimension Configuration: The error usually arises when the configuration of a dimension in a model does not meet the required minimum or maximum constraints. This could be due to:
  
  Incorrect settings in the model definition.
  Changes in the underlying data source that affect the dimensions.
  Data inconsistencies or missing values in the dimension.
  
  
  
  Data Source Issues: If the data source has been modified or if there are issues with the data extraction process, it may lead to discrepancies in the expected dimensions.
  
  
  Modeling Errors: Errors during the modeling process, such as incorrect mappings or relationships between dimensions, can also trigger this error.
  
  
  
  Solution:
  
  
  Check Model Configuration: Review