How To Fix RETAIL_ST_ODATA111 - Parallel posting of &1 packages (size &2) on server group &3 started (&4)

SAP Error Message - Details

• Message type: E = Error

• Message class: RETAIL_ST_ODATA - Messages for use in Fiori Retail Store Applications

• Message number: 111

• Message text: Parallel posting of &1 packages (size &2) on server group &3 started (&4)

Self-Explanatory Message

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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 RETAIL_ST_ODATA111 - Parallel posting of &1 packages (size &2) on server group &3 started (&4) ?

  The SAP error message RETAIL_ST_ODATA111 indicates that there is a parallel posting of packages occurring on a server group. This message typically arises in the context of SAP Retail or SAP S/4HANA systems when there are multiple processes trying to execute simultaneously, which can lead to performance issues or resource contention.
  Cause:
  
  High Load: The system is experiencing a high load due to multiple parallel processes trying to access the same resources.
  Configuration Issues: The server group may not be optimally configured to handle the number of parallel requests being made.
  Data Volume: Large data volumes being processed in parallel can lead to this error, especially if the system is not equipped to handle such loads.
  Network Latency: If the server group is distributed across different locations, network latency can contribute to the issue.
  
  Solution:
  
  
  Optimize Configuration:
  
  Review and optimize the configuration of the server group to ensure it can handle the expected load.
  Adjust the parameters related to parallel processing in the SAP system settings.
  
  
  
  Limit Parallel Processing:
  
  If possible, limit the number of parallel processes that can be executed at the same time. This can be done by adjusting the settings in the relevant transaction or program.
  
  
  
  Monitor System Performance:
  
  Use SAP transaction codes like ST03N (Workload Analysis) or ST06 (Operating System Monitor) to monitor system performance and identify bottlenecks.
  Analyze the workload and identify if there are specific times when the load is higher, and plan accordingly.
  
  
  
  Increase Resources:
  
  If the system is consistently under heavy load, consider increasing the resources available to the server group, such as CPU, memory, or network bandwidth.
  
  
  
  Batch Processing:
  
  If applicable, consider implementing batch processing for large data sets to reduce the load on the system during peak times.
  
  
  
  Consult SAP Notes:
  
  Check for any relevant SAP Notes or updates that may address this specific error or provide additional guidance.
  
  
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for more details on performance tuning and parallel processing.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have implemented.
  Performance Tuning Guides: Look for performance tuning guides specific to SAP Retail or S/4HANA that may provide insights into optimizing your system.
  
  If the issue persists after trying the above solutions, it may be beneficial to engage SAP support for further assistance.