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Message type: E = Error
Message class: TG - Messages for Upgrade Repository Switch
Message number: 803
Message text: Job & has been finished
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.
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TG803
- Job & has been finished ?The SAP error message TG803 indicates that a job has finished, but it may not have completed successfully. This message is typically associated with background jobs in SAP, and it can arise from various issues. Here’s a breakdown of the potential causes, solutions, and related information:
Causes:
- Job Termination: The job may have been terminated due to an error in the program or a system issue.
- Resource Issues: Insufficient system resources (like memory or CPU) can cause jobs to fail.
- Data Issues: Problems with the data being processed (e.g., missing data, data format issues) can lead to job failures.
- Authorization Issues: The user executing the job may not have the necessary authorizations to complete the job successfully.
- Configuration Issues: Incorrect job scheduling or configuration settings can lead to job failures.
- System Errors: General system errors or issues with the SAP environment can also cause jobs to finish with errors.
Solutions:
- Check Job Logs: Review the job log for detailed error messages. You can do this by navigating to the job in transaction code
SM37
and checking the logs for any specific error messages.- Analyze Dump: If the job terminated due to a runtime error, check for short dumps using transaction
ST22
. This can provide insights into what went wrong.- Review System Resources: Monitor system performance and resource usage to ensure that there are enough resources available for job execution.
- Data Validation: Ensure that the data being processed is valid and complete. Check for any inconsistencies or missing data.
- Authorization Check: Verify that the user executing the job has the necessary authorizations to perform the actions required by the job.
- Reconfigure Job: If the job is misconfigured, adjust the scheduling or parameters as needed.
- Retry the Job: After addressing any identified issues, you can retry the job to see if it completes successfully.
Related Information:
SM37
: Monitor background jobs.ST22
: Analyze short dumps.SM21
: Check system logs for any related errors.If the issue persists after trying the above solutions, it may be beneficial to consult with your SAP Basis team or reach out to SAP support for further assistance.
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