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Message type: E = Error
Message class: GLE_MCA - Multicurrency Accounting
Message number: 356
Message text: Error during parallel processing (SY-SUBRC = &1 )
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GLE_MCA356
- Error during parallel processing (SY-SUBRC = &1 ) ?The SAP error message GLE_MCA356, which indicates "Error during parallel processing (SY-SUBRC = &1)," typically occurs in the context of parallel processing in SAP, particularly in the General Ledger (GL) or during the execution of certain background jobs. The error message is often accompanied by a specific return code (SY-SUBRC) that can provide more insight into the nature of the issue.
Causes:
- Resource Limitations: The system may be running out of resources (e.g., memory, CPU) when trying to execute parallel processes.
- Configuration Issues: There may be misconfigurations in the parallel processing settings or job definitions.
- Data Issues: The data being processed may have inconsistencies or errors that prevent successful execution.
- Lock Conflicts: There may be locks on the data being processed, causing the parallel jobs to fail.
- System Performance: High system load or performance issues can lead to failures in parallel processing.
Solutions:
- Check SY-SUBRC Value: Analyze the specific return code (SY-SUBRC) provided in the error message. This code can give you more context about the failure.
- Review Job Logs: Check the job logs for any additional error messages or warnings that can provide more details about the failure.
- Monitor System Resources: Use transaction codes like ST02 (Tune Summary), ST03 (Workload Analysis), or SM66 (Global Work Process Overview) to monitor system performance and resource usage.
- Adjust Parallel Processing Settings: If applicable, review and adjust the settings for parallel processing in the relevant configuration areas (e.g., in the job definition).
- Data Validation: Validate the data being processed to ensure there are no inconsistencies or errors that could cause the job to fail.
- Check for Locks: Use transaction SM12 to check for any locks on the relevant tables or data that might be causing the issue.
- Retry the Job: Sometimes, simply retrying the job after addressing any identified issues can resolve the error.
Related Information:
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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