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How To Fix SODQ303 - Request &1 cannot be completed because extraction is still running


SAP Error Message - Details

  • Message type: E = Error

  • Message class: SODQ - Operational Delta Queue

  • Message number: 303

  • Message text: Request &1 cannot be completed because extraction is still running

  • Show details Hide details
  • What causes this issue?

    You are trying to close a request while extraction is still running or
    extraction has not been started.

    System Response

    Requests can only be closed if the extraction process has been completed
    or if an error occurred.

    How to fix this error?

    If you do not want to wait for the extraction process to be completed
    normally, you can can terminate the background job of the extraction
    request and close the request. Select the background job in the job
    management screen. If the job still has the "planned status", delete the
    job from the database, or cancel the job if it is active. Return to the
    delta queue request monitoring screen and close the request.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message SODQ303 - Request &1 cannot be completed because extraction is still running ?

    The SAP error message SODQ303 indicates that a request cannot be completed because an extraction process is still running. This typically occurs in the context of data extraction processes, such as those involving SAP Data Services, SAP BW (Business Warehouse), or other data extraction tools.

    Cause:

    1. Ongoing Extraction Process: The most common cause of this error is that a data extraction request is currently in progress. This means that the system is still processing the data extraction, and any new requests for the same data cannot be executed until the current extraction is completed.
    2. Locking Mechanism: SAP uses a locking mechanism to prevent data inconsistencies. If a request is being processed, it locks the relevant data, preventing other requests from being executed simultaneously.
    3. Long-running Queries: Sometimes, the extraction process may take longer than expected due to large data volumes, complex queries, or performance issues.

    Solution:

    1. Wait for Completion: The simplest solution is to wait for the ongoing extraction process to complete. You can monitor the status of the extraction job in the relevant transaction (e.g., RSA1 for BW).
    2. Check Job Status: Use transaction codes like SM37 (Job Monitoring) to check the status of the extraction job. If the job is stuck or taking too long, you may need to investigate further.
    3. Terminate the Job: If the extraction job is not progressing and appears to be stuck, you may need to terminate it. This can be done in SM37 by selecting the job and choosing the option to cancel it. However, be cautious with this approach, as it may lead to data inconsistencies.
    4. Review Logs: Check the logs for the extraction job to identify any issues that may have caused it to hang or take longer than expected.
    5. Optimize Extraction: If this issue occurs frequently, consider optimizing the extraction process. This could involve improving the performance of the underlying queries, reducing the data volume being extracted, or scheduling extractions during off-peak hours.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as RSA1 (Data Warehousing Workbench), SM37 (Job Monitoring), and ST22 (Dump Analysis) for troubleshooting.
    • SAP Notes: Check SAP Notes for any known issues or patches related to the extraction process you are using.
    • Performance Tuning: Consider performance tuning for your data extraction processes, including indexing, partitioning, and optimizing data models.
    • Documentation: Refer to SAP documentation for best practices on data extraction and handling extraction errors.

    By following these steps, you should be able to resolve the SODQ303 error and ensure smoother data extraction processes in your SAP environment.

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