How To Fix FINS_FI_MASS_DATA136 - Process stopped for load balancing reasons

SAP Error Message - Details

• Message type: E = Error

• Message class: FINS_FI_MASS_DATA - Mass Data Handling

• Message number: 136

• Message text: Process stopped for load balancing reasons

What causes this issue?

The process has been stopped by the load balancing.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

The number of jobs can be changed in the customizing table
FINS_MASS_CTRL_C.
For jobs related to the migration to SAP S/4HANA Finance, you can change
the number of jobs in the transaction <DS:SIMG.FINS_MIG_STATUS>Start
and Monitor Migration</>.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message FINS_FI_MASS_DATA136 - Process stopped for load balancing reasons ?

  The SAP error message FINS_FI_MASS_DATA136: Process stopped for load balancing reasons typically occurs during mass data processing in the Financial Accounting (FI) module. This error indicates that the system has halted the processing of a job due to load balancing constraints, which can happen when the system detects that the workload is unevenly distributed across the available application servers.
  Causes:
  
  Load Balancing Issues: The SAP system may be configured to distribute workload across multiple application servers. If one server is overloaded while others are underutilized, the system may stop processing to maintain performance.
  Resource Limitations: Insufficient resources (CPU, memory) on the application server can lead to this error.
  Configuration Settings: Certain configuration settings related to job processing and load balancing may not be optimized for the current workload.
  Long-running Processes: If a particular process takes too long to complete, it may trigger load balancing mechanisms to stop further processing.
  
  Solutions:
  
  Check System Load: Monitor the load on the application servers using transaction codes like SM50 or SM66. Identify if any server is overloaded and redistribute the workload if necessary.
  Adjust Job Parameters: Review and adjust the parameters for the job that is causing the error. This may include breaking down large jobs into smaller batches to reduce the load on the system.
  Review Configuration: Check the configuration settings related to background processing and load balancing. Ensure that they are set appropriately for your environment.
  Increase Resources: If the application server is consistently overloaded, consider increasing the resources (CPU, memory) allocated to the server.
  Re-schedule the Job: If the job can be re-scheduled, try running it during off-peak hours when the system load