How To Fix HRASR00_PROCESS155 - Error when writing to the container

HRASR00_PROCESS155 - Overview

• Message type: E = Error

• Message class: HRASR00_PROCESS -

• Message number: 155

• Message text: Error when writing to the container

What causes this issue?

A severe error occurred in the function module HR_ASR_FORWARD_TO_EXPERT
and the processing was canceled.
The work item is to be forwarded to an error expert or experts. In doing
so, information is written in the Task Container using the method
ELEMENT_SET_VALUE (class CL_SWF_CNT_CONTAINER) or the function module
SWW_WI_CONTAINER_MODIFY. An error occurred here.

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?

Check the specified work item.

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 HRASR00_PROCESS155 - Error when writing to the container ?

  The SAP error message HRASR00_PROCESS155 typically occurs in the context of the SAP HCM (Human Capital Management) module, particularly when dealing with the process of writing data to a container in the context of a workflow or a process model. This error can arise due to various reasons, and understanding the cause is crucial for finding a solution.
  Possible Causes:
  
  Data Inconsistency: There may be inconsistencies in the data being processed, such as missing mandatory fields or incorrect data types.
  Container Issues: The container may not be properly initialized or may have been corrupted.
  Authorization Issues: The user executing the process may not have the necessary authorizations to write to the container.
  Configuration Errors: There may be issues with the configuration of the process model or workflow that is causing the error.
  Technical Errors: There could be underlying technical issues, such as memory problems or system performance issues.
  
  Solutions:
  
  
  Check Data Consistency:
  
  Review the data being processed to ensure