How To Fix RSQBW007 - Check if a temporal operand is set for the object

RSQBW007 - Overview

• Message type: E = Error

• Message class: RSQBW -

• Message number: 007

• Message text: Check if a temporal operand is set for the object

What causes this issue?

If, when comparing an InfoSet, you determine that a field still exists
in the InfoSet, but not in the associated InfoProvider, the system tries
to automatically adapt the InfoSet.
This works if a temporal operand has not been set for the attribute. If
this is the case, automatic adaptation cannot take place.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Please first go into the InfoSet in change mode and remove the
associated temporal operands (checkbox in the sixth column). After
saving, you can start a comparison again from the initial screen of the
rsiset. Now automatic adaptation should be possible.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSQBW007 - Check if a temporal operand is set for the object ?

  The SAP error message RSQBW007 typically occurs in the context of SAP BW (Business Warehouse) when there is an issue with a temporal operand in a query or report. This error indicates that the system is unable to find or recognize a temporal operand that is expected for the object being processed.
  
  Cause:
  
  Missing Temporal Operand: The query or report is trying to use a temporal operand (like a time characteristic) that has not been defined or is missing in the data model.
  Incorrect Query Design: The query may be incorrectly designed, where the temporal operand is not properly linked to the data source or is not included in the query definition.
  Data Source Issues: The underlying data source may not have the necessary time characteristics or may not be properly configured to support temporal operations.
  Inconsistent Data Model: There may be inconsistencies in the data model, such as missing time dimensions or attributes that