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How To Fix SODQ129 - Start of processing for request &1 delayed by &2 seconds


SAP Error Message - Details

  • Message type: E = Error

  • Message class: SODQ - Operational Delta Queue

  • Message number: 129

  • Message text: Start of processing for request &1 delayed by &2 seconds

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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.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message SODQ129 - Start of processing for request &1 delayed by &2 seconds ?

    The SAP error message SODQ129 indicates that the start of processing for a request (identified by &1) has been delayed by a certain number of seconds (&2). This message typically arises in the context of data processing in SAP systems, particularly when dealing with background jobs or data requests in the SAP BW (Business Warehouse) or SAP ECC (Enterprise Central Component) environments.

    Cause:

    1. System Load: The most common cause of this delay is high system load. If the SAP system is processing a large number of requests or if there are resource-intensive jobs running concurrently, it can lead to delays in processing new requests.
    2. Lock Contention: If multiple processes are trying to access the same resources or data, it can lead to lock contention, causing delays.
    3. Database Performance: Slow database performance due to heavy queries, lack of indexing, or other database-related issues can also contribute to delays.
    4. Configuration Issues: Incorrect configuration of background job scheduling or resource allocation can lead to delays in processing requests.

    Solution:

    1. Monitor System Performance: Use transaction codes like ST03N (Workload Analysis) or ST06 (Operating System Monitor) to monitor system performance and identify bottlenecks.
    2. Check Background Jobs: Use transaction SM37 to check the status of background jobs. Look for any jobs that are running for an extended period or are stuck.
    3. Optimize Queries: If the delay is related to database performance, consider optimizing the queries or adding necessary indexes to improve performance.
    4. Adjust Job Scheduling: If there are too many jobs scheduled to run at the same time, consider staggering their execution times to reduce load.
    5. Increase Resources: If the system is consistently under heavy load, consider increasing the hardware resources (CPU, memory) allocated to the SAP system.
    6. Review Lock Entries: Use transaction SM12 to check for lock entries that may be causing contention and resolve any unnecessary locks.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address specific issues related to this error message. SAP Notes often provide patches or configuration changes that can resolve known issues.
    • System Logs: Review system logs (transaction SLG1) for any additional error messages or warnings that may provide more context about the delay.
    • Performance Tuning: Consider engaging in performance tuning activities, which may include analyzing the workload, optimizing database performance, and reviewing system configuration.

    By following these steps, you should be able to identify the root cause of the delay and implement appropriate solutions to mitigate the issue.

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