How To Fix /SOMO/JOBMON144 - Number of data packages processed (&1) reached or exceeded maximum (&2)

SAP Error Message - Details

• Message type: E = Error

• Message class: /SOMO/JOBMON -

• Message number: 144

• Message text: Number of data packages processed (&1) reached or exceeded maximum (&2)

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SOMO/JOBMON144 - Number of data packages processed (&1) reached or exceeded maximum (&2) ?

  The SAP error message /SOMO/JOBMON144 indicates that the number of data packages processed has reached or exceeded a predefined maximum limit. This error typically occurs in the context of data processing jobs, such as those related to data extraction, transformation, or loading (ETL) processes, particularly in SAP BW (Business Warehouse) or SAP HANA environments.
  Cause:
  
  Exceeding Limits: The error is triggered when the number of data packages processed during a job exceeds the maximum limit set in the system configuration.
  Configuration Settings: The maximum number of data packages is often defined in the job settings or in the system parameters. If the job is processing a large volume of data, it may hit this limit.
  Performance Issues: If the system is under heavy load or if there are performance bottlenecks, it may lead to slower processing times, causing the job to reach the limit sooner than expected.
  
  Solution:
  
  
  Increase Maximum Limit: 
  
  You can increase the maximum number of data packages allowed in the job configuration. This can usually be done in the job settings or through transaction codes related to job monitoring and configuration.
  Check the relevant parameters in the SAP system (e.g., RSADMIN settings for BW jobs) and adjust the limits accordingly.
  
  
  
  Optimize Data Processing:
  
  Review the data processing logic to ensure it is efficient. This may involve optimizing queries, reducing the volume of data being processed in a single job, or breaking down large jobs into smaller, more manageable ones.
  Consider implementing parallel processing if supported, which can help distribute the load and reduce the time taken for each job.
  
  
  
  Monitor System Performance:
  
  Use transaction codes like SM37 to monitor job statuses and performance. Identify any jobs that are taking longer than expected and analyze their performance.
  Check system resources (CPU, memory, I/O) to ensure that the system is not under heavy load, which could affect job performance.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or notes related to the specific job or process you are working with. There may be specific recommendations or best practices for handling large data volumes.
  
  
  
  Contact SAP Support:
  
  If the issue persists after making adjustments, consider reaching out to SAP support for further assistance. They may provide insights based on the specific version and configuration of your SAP system.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as SM37 (Job Monitoring), RSADMIN (for BW settings), and SCC4 (Client Administration) for configuration settings.
  SAP Notes: Search for SAP Notes related to job monitoring and data processing limits, as they may provide additional context or solutions specific to your version of SAP.
  Performance Tuning: Look into performance tuning guides for SAP BW or HANA, which can provide strategies for optimizing data processing jobs.
  
  By addressing the configuration settings and optimizing the data processing, you should be able to resolve the error and improve the performance of your SAP jobs.