How To Fix TG802 - Job & has not yet been finished

SAP Error Message - Details

• Message type: E = Error

• Message class: TG - Messages for Upgrade Repository Switch

• Message number: 802

• Message text: Job & has not yet been finished

Self-Explanatory Message

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.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message TG802 - Job & has not yet been finished ?

  The SAP error message TG802 ("Job & has not yet been finished") typically indicates that a background job has not completed its execution. This can happen for various reasons, and understanding the cause is essential for resolving the issue. Here are some common causes, potential solutions, and related information:
  Causes:
  
  Long-Running Job: The job may simply be taking longer to complete than expected due to the volume of data being processed or the complexity of the task.
  Job Scheduling Issues: The job may not have been scheduled correctly or may be waiting for resources to become available.
  System Performance: High system load or performance issues can delay job execution.
  Job Errors: The job may have encountered an error during execution, causing it to hang or terminate unexpectedly.
  Dependencies: The job may be dependent on other jobs that have not yet completed.
  
  Solutions:
  
  Check Job Status: Use transaction code SM37 to check the status of the job. Look for any error messages or logs that can provide insight into why the job is not finished.
  Analyze Job Logs: Review the job logs for any error messages or warnings that could indicate what went wrong during execution.
  Monitor System Performance: Check system performance metrics to see if there are any bottlenecks or resource constraints affecting job execution.
  Re-schedule the Job: If the job is stuck, you may need to cancel it and re-schedule it for a later time when system resources are more available.
  Check Dependencies: Ensure that any jobs that the current job depends on have completed successfully.
  Increase Resources: If the job is consistently taking too long, consider increasing system resources (CPU, memory) or optimizing the job itself.
  
  Related Information:
  
  
  Transaction Codes:
  
  SM37: Monitor background jobs.
  SM21: Check system logs for errors.
  ST22: Analyze dump analysis for ABAP runtime errors.
  SM66: Monitor global work processes.
  
  
  
  Job Management Best Practices:
  
  Schedule jobs during off-peak hours to minimize resource contention.
  Regularly monitor job performance and adjust scheduling as necessary.
  Implement error handling and logging within jobs to facilitate troubleshooting.
  
  
  
  If the issue persists after trying the above solutions, it may be necessary to consult with your SAP Basis team or SAP support for further assistance.