How To Fix RSODSO_TOOLS019 - Timeout for parallel process (for &1): &2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSODSO_TOOLS -

  • Message number: 019

  • Message text: Timeout for parallel process (for &1): &2

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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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSODSO_TOOLS019 - Timeout for parallel process (for &1): &2 ?

    The SAP error message RSODSO_TOOLS019 indicates a timeout issue for a parallel process in the context of SAP Data Warehousing, specifically related to the Operational Data Store (ODS) or DataStore Objects (DSOs). This error typically occurs when a process takes longer than the allowed time limit to complete, leading to a timeout.

    Cause:

    1. Long-running Queries: The process may involve complex queries or data transformations that take longer than expected.
    2. System Performance: High system load or insufficient resources (CPU, memory, I/O) can lead to delays in processing.
    3. Data Volume: Large volumes of data being processed can exceed the time limits set for parallel processing.
    4. Lock Contention: Other processes may be locking the resources needed for the current process, causing delays.
    5. Configuration Issues: Timeout settings may be too low for the operations being performed.

    Solution:

    1. Increase Timeout Settings: Adjust the timeout settings for the parallel processes in the relevant configuration. This can often be done in the SAP BW settings or the specific job configuration.
    2. Optimize Queries: Review and optimize the queries or transformations involved in the process to reduce execution time.
    3. Monitor System Performance: Use transaction codes like ST03N or ST06 to monitor system performance and identify bottlenecks. Consider scaling up resources if necessary.
    4. Batch Processing: If processing large volumes of data, consider breaking the data into smaller batches to avoid timeouts.
    5. Check for Locks: Use transaction SM12 to check for locks that may be causing delays and resolve any issues.
    6. Review Parallel Processing Settings: Ensure that the settings for parallel processing are appropriate for the workload and system capabilities.

    Related Information:

    • Transaction Codes:
      • SM37: To monitor job status and check for any failed jobs.
      • ST22: To check for dumps that may provide more insight into the issue.
      • SM21: To review system logs for any related errors or warnings.
    • SAP Notes: Check for any relevant SAP Notes that may address known issues or provide patches related to this error.
    • Documentation: Review SAP documentation on Data Warehousing and performance tuning for best practices.

    If the issue persists after trying the above solutions, it may be beneficial to engage SAP support for further assistance.

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