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Message type: E = Error
Message class: UJD_EXCEPTION - BPC: Data Manager Exception Message Class
Message number: 088
Message text: Schedule finished
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.
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UJD_EXCEPTION088
- Schedule finished ?The SAP error message UJD_EXCEPTION088 typically indicates that there was an issue during the execution of a scheduled job in SAP BusinessObjects or SAP BW (Business Warehouse). This error can occur for various reasons, and understanding the cause is essential for finding a solution.
Possible Causes:
- Data Source Issues: The data source for the scheduled job may be unavailable or not properly configured.
- Insufficient Permissions: The user or service account running the job may not have the necessary permissions to access the required resources.
- Resource Limitations: The system may be experiencing resource constraints, such as memory or CPU limitations, which can cause the job to fail.
- Configuration Errors: There may be misconfigurations in the job settings or in the environment that prevent the job from completing successfully.
- Network Issues: Connectivity problems between the SAP system and the data source or other components can lead to job failures.
- Timeouts: The job may be timing out due to long-running queries or processes.
Solutions:
- Check Job Logs: Review the job logs for more detailed error messages that can provide insights into the specific cause of the failure.
- Verify Data Sources: Ensure that all data sources are available and correctly configured. Test the connections to confirm they are working.
- Review Permissions: Check the permissions of the user or service account running the job. Ensure it has the necessary access rights to all required resources.
- Monitor System Resources: Use system monitoring tools to check for resource usage. If the system is under heavy load, consider optimizing performance or scheduling jobs during off-peak hours.
- Adjust Job Settings: If the job is timing out, consider increasing the timeout settings or optimizing the queries to reduce execution time.
- Network Diagnostics: If network issues are suspected, perform diagnostics to ensure stable connectivity between components.
Related Information:
If the problem persists after trying the above solutions, consider reaching out to SAP support for further assistance.
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