How To Fix /PM0/FPP080 - Threshold for aborted jobs is reached; terminate this job

SAP Error Message - Details

• Message type: E = Error

• Message class: /PM0/FPP -

• Message number: 080

• Message text: Threshold for aborted jobs is reached; terminate this job

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message /PM0/FPP080 - Threshold for aborted jobs is reached; terminate this job ?

  The SAP error message /PM0/FPP080 Threshold for aborted jobs is reached; terminate this job typically indicates that a job in the SAP system has been aborted due to reaching a predefined threshold for the number of aborted jobs. This can happen in various scenarios, often related to job scheduling and execution in the SAP environment.
  Causes:
  
  Job Failures: The most common cause is that multiple jobs have failed or been aborted in a short period, exceeding the configured threshold.
  System Resource Issues: Insufficient system resources (CPU, memory, etc.) can lead to job failures.
  Configuration Issues: Incorrect job configuration or dependencies can cause jobs to abort.
  Data Issues: Problems with the data being processed by the job can lead to failures.
  Timeouts: Jobs may be timing out due to long processing times or deadlocks.
  
  Solutions:
  
  Check Job Logs: Review the job logs for the specific jobs that have been aborted to identify the root cause of the failures.
  Increase Threshold: If appropriate, consider increasing the threshold for aborted jobs in the system configuration. This can be done in the relevant configuration settings (e.g., in transaction codes like SM37 for job monitoring).
  Resource Allocation: Ensure that the system has adequate resources (CPU, memory, etc.) to handle the job load.
  Job Configuration: Review and correct any misconfigurations in the job settings or dependencies.
  Data Validation: Check the data being processed by the jobs for any inconsistencies or issues that could lead to failures.
  Monitoring and Alerts: Set up monitoring and alerts for job failures to proactively address issues before they reach the threshold.
  
  Related Information:
  
  Transaction Codes: Use transaction codes like SM37 (Job Monitoring) to view job statuses and logs, and SM36 (Job Scheduling) to manage job configurations.
  SAP Notes: Check SAP Notes for any known issues or patches related to job scheduling and management.
  System Performance: Regularly monitor system performance and resource utilization to prevent job failures due to resource constraints.
  Job Scheduling Best Practices: Implement best practices for job scheduling, such as staggering job runs and ensuring that jobs are not dependent on each other in a way that could lead to failures.
  
  By addressing the underlying causes and implementing appropriate solutions, you can mitigate the occurrence of this error and ensure smoother job execution in your SAP environment.