How To Fix SVMCRT_JARM002 - JARM data compression skipped as this is already running

SAP Error Message - Details

• Message type: E = Error

• Message class: SVMCRT_JARM - Logging Texts for JARM

• Message number: 002

• Message text: JARM data compression skipped as this is already running

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message SVMCRT_JARM002 - JARM data compression skipped as this is already running ?

  The SAP error message SVMCRT_JARM002 indicates that the JARM (Java Archive Resource Management) data compression process is already running, which prevents a new compression job from starting. This can occur in systems where multiple compression jobs are scheduled or triggered simultaneously.
  Cause:
  
  Concurrent Execution: The most common cause is that a JARM data compression job is already in progress. SAP does not allow multiple instances of the same job to run concurrently to avoid data corruption or resource contention.
  Job Scheduling: If jobs are scheduled too closely together, it may lead to attempts to start a new job while the previous one is still running.
  Long-Running Jobs: If the existing compression job takes longer than expected, it may lead to this error if another job is triggered before the first one completes.
  
  Solution:
  
  Check Running Jobs: Use transaction codes like SM37 (Job Monitoring) to check if a JARM compression job is currently running. If it is, you may need to wait for it to complete.
  Job Management: If you find that jobs are scheduled too closely, consider adjusting the scheduling to allow sufficient time for each job to complete before the next one starts.
  Monitor Job Duration: If the compression jobs are consistently taking too long, investigate the underlying reasons. This could involve checking system performance, database size, or any other factors that might be affecting job execution time.
  Manual Intervention: If a job is stuck or taking an unusually long time, you may need to manually terminate it and then restart the compression process. However, be cautious with this approach to avoid data inconsistencies.
  Review Logs: Check the logs for any additional error messages or warnings that might provide more context on why the job is taking longer than expected.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to JARM and data compression for any known issues or patches that might address the problem.
  System Performance: Ensure that your system has adequate resources (CPU, memory, I/O) to handle the compression jobs efficiently.
  Documentation: Refer to SAP documentation for best practices on managing JARM jobs and data compression.
  
  By following these steps, you should be able to resolve the error and ensure that your JARM data compression jobs run smoothly.