How To Fix /SOMO/JOBMON143 - Number of data packages processed (&1) is below or reached minimum (&2)

SAP Error Message - Details

• Message type: E = Error

• Message class: /SOMO/JOBMON -

• Message number: 143

• Message text: Number of data packages processed (&1) is below or reached minimum (&2)

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SOMO/JOBMON143 - Number of data packages processed (&1) is below or reached minimum (&2) ?

  The SAP error message /SOMO/JOBMON143 indicates that the number of data packages processed during a job execution has either fallen below or reached a specified minimum threshold. This message is typically related to data processing jobs in SAP, particularly in the context of data extraction or data transfer processes.
  Cause:
  
  Insufficient Data: The job may not have enough data to process, leading to a lower number of data packages being processed than expected.
  Job Configuration: The job might be configured with a minimum threshold that is too high for the current data set.
  Performance Issues: There could be performance issues affecting the job's ability to process data efficiently.
  Data Filters: Filters applied to the data extraction might be too restrictive, resulting in fewer records being processed.
  System Load: High system load or resource contention could impact the job's performance.
  
  Solution:
  
  Check Data Availability: Ensure that there is sufficient data available for processing. You may need to adjust the selection criteria or data filters.
  Review Job Configuration: Examine the job configuration settings to ensure that the minimum threshold is appropriate for the data being processed.
  Optimize Performance: Investigate any performance issues that may be affecting the job. This could involve checking system resources, optimizing database queries, or adjusting job parameters.
  Adjust Filters: If applicable, review and modify any filters that may be limiting the data being processed.
  Monitor System Load: Check the system load and resource usage during the job execution. If the system is under heavy load, consider scheduling the job during off-peak hours.
  
  Related Information:
  
  Transaction Codes: You can use transaction codes like SM37 to monitor job status and logs for more detailed information about the job execution.
  Job Logs: Review the job logs for any additional error messages or warnings that may provide further insight into the issue.
  SAP Notes: Check the SAP Support Portal for any relevant SAP Notes that may address this specific error message or provide guidance on best practices for job configuration and performance tuning.
  Documentation: Refer to SAP documentation related to job scheduling and data processing for best practices and troubleshooting steps.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.