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How To Fix SFSRFW_REPENGINE_MSG021 - & - replication already being performed - ignore in this run


SAP Error Message - Details

  • Message type: E = Error

  • Message class: SFSRFW_REPENGINE_MSG - Replication Framework - Replication Engine Messages

  • Message number: 021

  • Message text: & - replication already being performed - ignore in this run

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  • 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.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message SFSRFW_REPENGINE_MSG021 - & - replication already being performed - ignore in this run ?

    The SAP error message SFSRFW_REPENGINE_MSG021 indicates that a replication process is already in progress, and therefore, the current attempt to initiate replication is being ignored. This is a common scenario in systems where data replication is managed, such as in SAP S/4HANA or SAP BW systems.

    Cause:

    1. Concurrent Replication: The most common cause of this error is that a replication job is already running. This can happen if:

      • A previous replication process has not yet completed.
      • There are overlapping schedules for replication jobs.
      • A manual trigger for replication was initiated while another replication job is still active.
    2. System Locking: The system may have a locking mechanism that prevents multiple instances of the same replication job from running simultaneously to ensure data integrity.

    Solution:

    1. Check Running Jobs:

      • Use transaction codes like SM37 (Job Monitoring) to check if there are any active jobs related to the replication process. If you find a job that is still running, you may need to wait for it to complete.
    2. Review Job Scheduling:

      • If you have scheduled jobs, review the scheduling to ensure that they do not overlap. Adjust the timing of the jobs if necessary.
    3. Manual Intervention:

      • If a job is stuck or taking too long, you may need to manually terminate it. Be cautious with this approach, as terminating a job can lead to data inconsistencies if not handled properly.
    4. Logs and Monitoring:

      • Check the logs for the replication process to identify any issues that may have caused the job to hang or take longer than expected. This can provide insights into whether there are underlying issues that need to be addressed.
    5. System Performance:

      • Ensure that the system has adequate resources (CPU, memory, etc.) to handle the replication processes efficiently. Performance bottlenecks can lead to longer execution times for jobs.
    6. Consult Documentation:

      • Refer to SAP documentation or notes related to the specific replication process you are using. There may be specific recommendations or patches available.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues or fixes related to this error message. SAP frequently updates its knowledge base with solutions for common problems.
    • Replication Framework: Familiarize yourself with the SAP Replication Framework and its configuration, as understanding how it operates can help in troubleshooting issues.
    • Support: If the issue persists and you cannot resolve it, consider reaching out to SAP Support for assistance. Provide them with detailed information about the error and the steps you have already taken.

    By following these steps, you should be able to address the error message and ensure that your replication processes run smoothly.

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