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How To Fix RSDU_REPART121 - Cannot release more jobs. Job &1 is too big for parallelization.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDU_REPART - Messages for Repartitioning InfoProviders

  • Message number: 121

  • Message text: Cannot release more jobs. Job &1 is too big for parallelization.

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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 RSDU_REPART121 - Cannot release more jobs. Job &1 is too big for parallelization. ?

    The SAP error message RSDU_REPART121 indicates that a job cannot be released because it is too large for parallel processing. This typically occurs in the context of data extraction or reporting jobs in SAP BW (Business Warehouse) or similar environments where data is processed in parallel.

    Cause:

    1. Job Size: The job being processed is too large, exceeding the limits set for parallel processing. This can happen if the data volume is significant or if the job is configured to handle a large dataset.
    2. Parallelization Settings: The system may have restrictions on how many parallel jobs can run simultaneously, or the job may not be configured correctly for parallel execution.
    3. System Resources: Insufficient system resources (like memory or CPU) can also lead to this error, as the system may not be able to handle additional parallel jobs.

    Solution:

    1. Reduce Job Size: If possible, try to break down the job into smaller chunks. This can be done by adjusting the selection criteria or processing smaller data sets.
    2. Adjust Parallelization Settings: Check the settings for parallel processing in the job configuration. You may need to adjust the parameters to allow for more parallel jobs or to optimize the job for parallel execution.
    3. Monitor System Resources: Ensure that the system has adequate resources available. You can monitor system performance and resource usage to identify any bottlenecks.
    4. Check Job Configuration: Review the job configuration to ensure that it is set up correctly for parallel processing. This includes checking the settings in the job definition and any related process chains.
    5. Consult SAP Notes: Look for any relevant SAP Notes that may address this specific error or provide guidance on best practices for job configuration and parallel processing.

    Related Information:

    • Transaction Codes: You can use transaction codes like SM37 to monitor job status and RSCAT for managing data extraction jobs.
    • SAP BW Documentation: Refer to SAP BW documentation for best practices on job scheduling and parallel processing.
    • Performance Tuning: Consider performance tuning for your BW system, which may involve adjusting memory settings, optimizing data models, or reviewing data load processes.

    If the issue persists after trying the above solutions, it may be beneficial to consult with your SAP Basis team or reach out to SAP support for further assistance.

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