How To Fix CSM_DATA_SUP023 - Job Log

SAP Error Message - Details

• Message type: E = Error

• Message class: CSM_DATA_SUP - Message Class for CCMS CSM Data Supplier

• Message number: 023

• Message text: Job Log

What causes this issue?

The "Job Log" node stores the job log information for job chains over a
longer period of time. During each check of the job, the status of the
newest job in a job chain is determined.
If the newest job has the status "scheduled" or "released", there is
not yet a job log. If the newest job has the status "active",
"canceled", or 'finished', you can view the job log in the detail data
of the node. The logs of different jobs are separated by an empty line.
By default, all job log messages are displayed as "green". However, you
can use the filter function in the node properties to change this and
display particular - even application-specific - T100 messages as
"yellow" or "red", therefore generating an alert.

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

System Response

How to fix this error?

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 CSM_DATA_SUP023 - Job Log ?

  The SAP error message CSM_DATA_SUP023 typically relates to issues encountered during the execution of a job in the SAP system, particularly in the context of data supply or data processing tasks. This error can arise in various scenarios, often linked to data inconsistencies, configuration issues, or problems with the job itself.
  
  Cause:
  
  Data Inconsistencies: The error may occur if there are inconsistencies in the data being processed. This could be due to missing or incorrect data entries.
  
  Configuration Issues: Incorrect configuration settings in the SAP system can lead to this error. This might involve settings related to data supply, job scheduling, or other related parameters.
  Job Scheduling Problems: If the job is not scheduled correctly or if there are conflicts with other jobs, it may result in this error.
  Authorization Issues: Lack of proper authorizations for the user executing the job can also lead to this error.
  
  
  Solution:
  
  Check Job Logs: Review the job logs for more