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Message type: E = Error
Message class: LTR2_ANA2 - LTR2 Analysis Messages
Message number: 098
Message text: Maximum number of parallel jobs set with &1
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LTR2_ANA2098
- Maximum number of parallel jobs set with &1 ?The SAP error message LTR2_ANA2098 indicates that the maximum number of parallel jobs has been reached, which is set to a specific limit (denoted by
&1
). This error typically occurs in the context of data processing tasks, such as data extraction, transformation, or loading (ETL) processes, particularly when using SAP Landscape Transformation (SLT) or SAP Data Services.Cause:
The error is caused by the system reaching the configured limit for concurrent jobs that can be executed in parallel. This limit is set to prevent system overload and ensure that resources are managed effectively. When the number of jobs trying to run simultaneously exceeds this limit, the system generates this error message.
Solution:
To resolve this issue, you can consider the following approaches:
Increase the Maximum Number of Parallel Jobs:
- You can increase the limit for parallel jobs in the relevant configuration settings. This is typically done in the SLT configuration or the relevant data processing tool settings.
- Check the configuration parameters related to parallel processing in the SAP system. For SLT, you can adjust the parameter
max_parallel_jobs
or similar settings in the SLT configuration.Optimize Job Scheduling:
- Review the jobs that are currently running and see if you can optimize their scheduling. For example, you can stagger the start times of jobs to reduce the number of concurrent jobs.
- Ensure that jobs that are not time-sensitive are scheduled during off-peak hours.
Monitor and Manage Job Execution:
- Use monitoring tools to keep track of job execution and resource utilization. This can help identify bottlenecks and allow for better management of job execution.
- If certain jobs are consistently taking longer than expected, investigate their performance and optimize them if possible.
Check for Stuck or Long-Running Jobs:
- Sometimes, jobs may get stuck or take longer than expected due to various reasons (e.g., data volume, resource contention). Check for any long-running jobs and address any issues that may be causing delays.
Consult Documentation:
- Refer to the official SAP documentation for your specific version and module to understand the configuration settings related to parallel job execution.
Related Information:
By following these steps, you should be able to address the error message LTR2_ANA2098 and manage parallel job execution more effectively in your SAP environment.
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