How To Fix RSR_TRANS009 - Value '&1' is not allowed for TAG &2

SAP Error Message - Details

• Message type: E = Error

• Message class: RSR_TRANS -

• Message number: 009

• Message text: Value '&1' is not allowed for TAG &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 RSR_TRANS009 - Value '&1' is not allowed for TAG &2 ?

  The SAP error message RSR_TRANS009, which states "Value '&1' is not allowed for TAG &2," typically occurs in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when there is an issue with the data being processed in a query or during data extraction.
  
  Cause:
  
  
  Invalid Value: The error indicates that the value being passed for a specific tag (e.g., a characteristic or key figure) is not valid. This could be due to:
  
  The value not existing in the master data.
  The value being outside the allowed range or set of values defined for that tag.
  The value being incorrectly formatted or not matching the expected data type.
  
  
  
  Data Model Issues: There may be inconsistencies in the data model, such as missing or incorrect master data entries.
  
  
  Query Design: The query might be designed in a way that it expects certain values that are not present in the data.
  
  
  Authorization Issues: Sometimes, the user may