How To Fix MMPUR_CAT_EXTR_LGMSG155 - Previous job scheduled for automatic restart of initial load was aborted

MMPUR_CAT_EXTR_LGMSG155 - Overview

• Message type: E = Error

• Message class: MMPUR_CAT_EXTR_LGMSG - Extractor Log Messages

• Message number: 155

• Message text: Previous job scheduled for automatic restart of initial load was aborted

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 MMPUR_CAT_EXTR_LGMSG155 - Previous job scheduled for automatic restart of initial load was aborted ?

  The SAP error message MMPUR_CAT_EXTR_LGMSG155 indicates that a previous job scheduled for the automatic restart of an initial load was aborted. This typically occurs in the context of data extraction processes, particularly when dealing with SAP's Material Management (MM) or similar modules.
  
  Cause:
  
  
  Job Abortion: The job that was supposed to perform the initial load was aborted due to various reasons, such as:
  
  System errors or crashes.
  Resource limitations (e.g., memory, CPU).
  Configuration issues in the extraction process.
  Data inconsistencies or errors in the source system.
  Network issues affecting data transfer.
  
  
  
  Incorrect Configuration: The extraction job may not be configured correctly, leading to failures during execution.
  
  
  Data Issues: There may be issues with the data being extracted, such as missing or corrupt records.
  
  
  System Maintenance: Scheduled maintenance or updates in the SAP system could also lead to job failures.
  
  
  
  Solution:
  
  
  Check Job Logs: Review the job logs for the specific job that was aborted. This can provide insights into why the job