How To Fix W_MD006 - Time limit for synchronizing after parallel processing has been exceeded


W_MD006 - Overview

  • Message type: E = Error

  • Message class: W_MD - Message Class for Merchandise Distribution

  • Message number: 006

  • Message text: Time limit for synchronizing after parallel processing has been exceeded

  • Show details Hide details
  • What causes this issue?

    You have defined a time limit when defining variants for parallel
    processing. You have, however, exceeded the time limit. After you have
    started all the available tasks, the system will wait until all tasks
    have been completed.
    For more information about current processing: &V1&.

    System Response

    The system is trying to continue current processing.
    This is an information message.

    How to fix this error?

    You may be unable to process all data. When you finish working with
    this funciton, check the data that could not be processed before
    repeating processing of the relevant data.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message W_MD006 - Time limit for synchronizing after parallel processing has been exceeded ?
    The SAP error message W_MD006 indicates that the time limit for synchronizing after parallel processing has been exceeded. This typically occurs in the context of Material Requirements Planning (MRP) or similar processes where parallel processing is utilized to improve performance.
    
    Cause: Long Processing Time: The parallel processing tasks may take longer than expected due to various reasons such as large data volumes, complex calculations, or system performance issues. System Performance: If the SAP system is under heavy load or if there are resource constraints (CPU, memory, etc.), it can lead to delays in processing.
    Configuration Issues: Incorrect configuration settings for parallel processing or synchronization parameters can lead to this error. Lock Contention: If multiple processes are trying to access the same resources, it can lead to delays and timeouts.
    Solution: Increase Time Limit: If the processing time is expected to be long due to the nature of the data, consider increasing the time limit for synchronization in

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