How To Fix 5D292 - Problem: & &

5D292 - Overview

• Message type: E = Error

• Message class: 5D - Error Messages for German Infotype Module Pools

• Message number: 292

• Message text: Problem: & &

&DESCRIPTION&
An unexpected error has ocurred during the program run. If this error
cannot be explained by errors in the previous field, inform the system
administrator and, if necessary, the hotline.
Since the program can also be run again later, a possible current
upgrade can be continued and the information can then be passed on to
the system administrator or the hotline.
A Human Resources table conversion for construction payroll in Germany
is affected. If you are using HR for Germany together with the
construction branch, the HR payroll for Germany (RPCALCD0) can only be
started after the conversion of table T5DBB has been completed. Contact
the HR administrator.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message 5D292 - Problem: & & ?

  The SAP error message 5D292 typically indicates a problem related to the system's inability to process a specific request or transaction due to a configuration or data issue. The message format "Problem: & &" suggests that there are placeholders for specific details that would provide more context about the error.
  Possible Causes:
  
  Data Inconsistency: There may be inconsistencies in the data being processed, such as missing or incorrect entries in the database.
  
  Configuration Issues: The system configuration may not be set up correctly for the transaction or process you are trying to execute.
  Authorization Problems: The user may not have the necessary permissions to perform the action that triggered the error.
  System Performance: The system may be experiencing performance issues, leading to timeouts or failures in processing requests.
  Custom Code: If there are custom developments or enhancements in the system, they may be causing unexpected behavior.
  
  Solutions:
  
  Check Data: Review the data being processed for any inconsistencies or