How To Fix ACM387 - Result of parallel processing: &1 successful, &2 warnings, &3 errors

ACM387 - Overview

• Message type: E = Error

• Message class: ACM - Message-Class for all ACM functions/exceptions

• Message number: 387

• Message text: Result of parallel processing: &1 successful, &2 warnings, &3 errors

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.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message ACM387 - Result of parallel processing: &1 successful, &2 warnings, &3 errors ?

  The SAP error message ACM387 indicates that during a parallel processing operation, the system has completed a certain number of tasks successfully, but also encountered warnings and errors. The message format typically includes three placeholders: 
  
  &1: Number of successful operations
  &2: Number of warnings encountered
  &3: Number of errors encountered
  
  Causes:
  
  Data Issues: The data being processed may contain inconsistencies or invalid entries that lead to errors.
  Configuration Problems: Incorrect configuration settings in the system can lead to processing failures.
  Resource Limitations: Insufficient system resources (like memory or processing power) can cause errors during parallel processing.
  Authorization Issues: Lack of proper authorizations for certain operations can lead to warnings or errors.
  System Bugs: There may be bugs in the SAP system or the specific module being used that cause unexpected behavior.
  
  Solutions:
  
  Review Logs: Check the detailed logs for the specific warnings and errors to understand their nature. This can provide insights into what went wrong.
  Data Validation: Ensure that the