How To Fix CNVA_00555_MSG070 - Estimated runtime with optimum job scheduling is: &1 - &2 Hrs


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CNVA_00555_MSG - Maintaining Messages for Run Time Analysis Tool

  • Message number: 070

  • Message text: Estimated runtime with optimum job scheduling is: &1 - &2 Hrs

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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 CNVA_00555_MSG070 - Estimated runtime with optimum job scheduling is: &1 - &2 Hrs ?

    The SAP error message CNVA_00555_MSG070 indicates that the estimated runtime for a job with optimum scheduling is between two specified time values (e.g., &1 - &2 hours). This message is typically related to the scheduling of background jobs in SAP, particularly in the context of data migration or system conversion processes.

    Cause:

    1. Long Runtime: The message suggests that the job you are trying to schedule is expected to take a significant amount of time to complete. This could be due to the volume of data being processed, the complexity of the operations being performed, or system performance issues.
    2. Resource Constraints: The system may not have enough resources (CPU, memory, I/O) available to execute the job efficiently, leading to longer estimated runtimes.
    3. Job Scheduling Configuration: The job scheduling parameters may not be optimized for the current workload or system configuration.

    Solution:

    1. Optimize Job Scheduling:

      • Review the job scheduling parameters and adjust them to optimize performance. This may include changing the priority of the job, adjusting the time of day it runs, or breaking the job into smaller, more manageable tasks.
    2. System Performance Tuning:

      • Check the system performance metrics to identify any bottlenecks. This may involve monitoring CPU usage, memory consumption, and I/O operations.
      • Consider increasing system resources if necessary, such as adding more memory or CPU capacity.
    3. Data Volume Management:

      • If the job is processing a large volume of data, consider filtering or batching the data to reduce the load on the system.
      • Review the data being processed to ensure that only necessary data is included in the job.
    4. Consult SAP Notes:

      • Check for any relevant SAP Notes or documentation that may provide additional guidance or patches related to job scheduling and performance.
    5. Testing and Monitoring:

      • Conduct tests to monitor the job's performance and adjust parameters as needed based on the results.
      • Use transaction codes like SM37 (to monitor job status) and ST22 (to check for dumps) to gather more information about job execution.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as SM37 (Job Monitoring), SM36 (Job Scheduling), and ST22 (Dump Analysis).
    • SAP Documentation: Refer to SAP Help Portal for detailed documentation on job scheduling and performance tuning.
    • Community Forums: Engage with SAP community forums or support channels for insights from other users who may have encountered similar issues.

    By addressing the underlying causes and optimizing the job scheduling process, you can reduce the estimated runtime and improve overall system performance.

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